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Steardo L, Fornaro M, D'Angelo M, Di Stefano V, Monaco F, Scuderi C, Steardo L, Valenza M. Impact of sex and complex PTSD comorbidity on pharmacological treatment response in bipolar disorder patients. Prog Neuropsychopharmacol Biol Psychiatry 2025; 138:111337. [PMID: 40097134 DOI: 10.1016/j.pnpbp.2025.111337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Revised: 02/28/2025] [Accepted: 03/13/2025] [Indexed: 03/19/2025]
Abstract
BACKGROUND The prevalence of bipolar disorder (BD) is similar in men and women. However, factors such as sex and comorbid psychiatric conditions can influence its clinical presentation and treatment outcomes, including complex PTSD (cPTSD), a newly categorized trauma-related condition. Little is known about how sex and cPTSD comorbidity affect the response to mood stabilizers, a cornerstone treatment for BD. This observational, cross-sectional study examines the impact of sex and cPTSD comorbidity on clinical and behavioral BD features as well as their interplay in influencing pharmacological treatment response. METHODS A cohort of BD patients (females = 177, males = 166, age range: 19-76; BD-I = 253, BD-II = 90) was recruited over three years. Clinical assessments were conducted, and patients were administered the International Trauma Questionnaire to evaluate cPTSD comorbidity and the Alda Scale to assess response to mood stabilizers. RESULTS Our results show distinct clinical profiles based on sex and cPTSD. Female BD patients exhibit more hypomanic episodes, antidepressant-induced mania, and longer periods of untreated illness than males. Comorbid cPTSD was diagnosed in 154 patients (44.8 %), among which 69 were females. Patients with cPTSD display more severe BD symptoms, including earlier onset, more frequent episodes, and a higher prevalence of psychosis and suicidality. Importantly, comorbid cPTSD was associated with poorer mood stabilizer response, particularly in males, who otherwise responded better to treatment than females. CONCLUSIONS These findings underscore the importance of addressing trauma symptoms in BD treatment and highlight the need for individualized approaches considering both sex and comorbid trauma, as standard mood stabilizers may be insufficient for certain subgroups.
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Affiliation(s)
- Luca Steardo
- Psychiatry Unit, Department of Health Sciences, University of Catanzaro Magna Graecia, 88100 Catanzaro, Italy.
| | - Michele Fornaro
- Department of Neuroscience, Reproductive Science and Dentistry, University of Naples Federico II, 80131 Napoli, Italy.
| | - Martina D'Angelo
- Psychiatry Unit, Department of Health Sciences, University of Catanzaro Magna Graecia, 88100 Catanzaro, Italy.
| | - Valeria Di Stefano
- Psychiatry Unit, Department of Health Sciences, University of Catanzaro Magna Graecia, 88100 Catanzaro, Italy.
| | - Francesco Monaco
- Department of Mental Health, Azienda Sanitaria Locale Salerno, 84132 Salerno, Italy; European Biomedical Research Institute of Salerno, 84125 Salerno, Italy.
| | - Caterina Scuderi
- Department of Physiology and Pharmacology "Vittorio Erspamer", SAPIENZA University of Rome, 00185 Rome, Italy.
| | - Luca Steardo
- Department of Physiology and Pharmacology "Vittorio Erspamer", SAPIENZA University of Rome, 00185 Rome, Italy; Telematic University Giustino Fortunato, Benevento, Italy.
| | - Marta Valenza
- Department of Physiology and Pharmacology "Vittorio Erspamer", SAPIENZA University of Rome, 00185 Rome, Italy.
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He K, Zhang J, Huang Y, Mo X, Yu R, Min J, Zhu T, Ma Y, He X, Lv F, Zeng J, Li C, McNamara RK, Lei D, Liu M. Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder. Neuroradiology 2025; 67:921-930. [PMID: 39825893 DOI: 10.1007/s00234-025-03544-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Accepted: 01/09/2025] [Indexed: 01/20/2025]
Abstract
INTRODUCTION Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD. METHODS A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging. Cortical thickness, surface area, and subcortical volumes were measured using FreeSurfer software. Common and classic machine learning models were utilized to identify distinct morphometric alterations between BD and MDD. RESULTS Significant morphological differences were observed in both common and distinct brain regions between BD, MDD, and HC. Specifically, abnormalities in the amygdala, thalamus, medial orbitofrontal cortex and fusiform were observed in both BD and MDD compared with HC. Relative to HC, unique differences in BD were identified in the lateral occipital and inferior/middle temporal regions, whereas MDD exhibited differences in nucleus accumbens and middle temporal regions. BD exhibited larger surface area in right middle temporal gyrus and greater right nucleus accumbens volume compared to MDD. The integration of two-stage models, including deep neural network (DNN) and support vector machine (SVM), achieved an accuracy rate of 91.2% in discriminating individuals with BD from MDD. CONCLUSION These findings demonstrate that structural MRI combined with machine learning techniques can accurately discriminate individuals with BD from MDD, and provide a foundation supporting the potential of this approach to improve diagnostic accuracy.
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Affiliation(s)
- Kewei He
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Jingbo Zhang
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Yang Huang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xue Mo
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Renqiang Yu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jing Min
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Tong Zhu
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Yunfeng Ma
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Xiangqian He
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Fajin Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jianguang Zeng
- School of Economics and Business Administration, Chongqing University, Chongqing, 400044, China
| | - Chao Li
- Department of Clinical Neurosciences, Department of Applied Mathematics & Theoretical Physics, University of Cambridge, Cambridge, CB2 1TN, UK
| | - Robert K McNamara
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, 45219, USA
| | - Du Lei
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
| | - Mengqi Liu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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Kung FH, Tsai CK, Cheng CM, Tsai SJ, Su TP, Chen TJ, Bai YM, Liang CS, Chen MH. Diagnostic conversion to bipolar disorder among adolescents and young adults with major depressive disorder: a nationwide longitudinal study. Eur Child Adolesc Psychiatry 2024; 33:3625-3635. [PMID: 38551679 PMCID: PMC11564236 DOI: 10.1007/s00787-024-02401-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/15/2024] [Indexed: 11/15/2024]
Abstract
Although several studies have examined a diagnostic conversion from major depressive disorder (MDD) to bipolar disorder (BD), only a few studies specifically focused on adolescents and young adults who are at the peak ages of BD onset. Data from participants (N = 130,793) aged 10-29 years who were diagnosed with MDD were extracted from the Taiwan National Health Insurance Research Database. We applied demographic analyses, survival analysis, Aalen Johansen curves, and Cox regression, investigating the diagnostic conversion rate and factors that were most or less predictive of conversion. Among the adolescents and young adults with MDD, the number of participant conversion subsample is 14,187 and the conversion rate was 13.80% (95% confidence interval: 13.54-14.06%) during the 11-year follow-up. The conversion rate was highest in the first year (4.50%; 4.39-4.61%) and decreased over time. The significant predictors were younger age of diagnosis with MDD (p < 0.001), moderate and high antidepressant resistance (p < 0.001), obesity (p < 0.001), psychiatric comorbidities (attention-deficit/hyperactivity disorder, substance use disorder, and cluster B and C personality disorder, all p < 0.001), a family history of mental disorders (schizophrenia and mood disorders, all p < 0.05), lower monthly income (p < 0.001), and more mental health visits to the clinic each year (p < 0.001). A composite of demographic characteristics, antidepressant resistance, physical and psychiatric comorbidities, and family history significantly predicted diagnostic conversion from MDD to BD (area under the curve = 0.795, p < 0.001). Compared to adult population, the adolescents and young adults had different factors that were most or less predictive of conversion, which warrants further investigation.
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Affiliation(s)
- Fan-Hsuan Kung
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, No. 60, Xinmin Road, Beitou District, Taipei, 11243, Taiwan
| | - Chia-Kuang Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chih-Ming Cheng
- Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Sec. 2, Shihpai Road, Beitou District, Taipei, 11217, Taiwan
- Department of Psychiatry, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Sec. 2, Shihpai Road, Beitou District, Taipei, 11217, Taiwan
- Department of Psychiatry, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Sec. 2, Shihpai Road, Beitou District, Taipei, 11217, Taiwan
- Department of Psychiatry, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Psychiatry, General Cheng Hsin Hospital, Taipei, Taiwan
| | - Tzeng-Ji Chen
- Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Sec. 2, Shihpai Road, Beitou District, Taipei, 11217, Taiwan
- Department of Psychiatry, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, No. 60, Xinmin Road, Beitou District, Taipei, 11243, Taiwan.
- Department of Psychiatry, National Defense Medical Center, Taipei, Taiwan.
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Sec. 2, Shihpai Road, Beitou District, Taipei, 11217, Taiwan.
- Department of Psychiatry, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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Pastrnak M, Klirova M, Bares M, Novak T. Distinct connectivity patterns in bipolar and unipolar depression: a functional connectivity multivariate pattern analysis study. BMC Neurosci 2024; 25:46. [PMID: 39333843 PMCID: PMC11428473 DOI: 10.1186/s12868-024-00895-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 09/17/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Patients with bipolar disorder (BD) and major depressive disorder (MDD) exhibit depressive episodes with similar symptoms despite having different and poorly understood underlying neurobiology, often leading to misdiagnosis and improper treatment. This exploratory study examined whole-brain functional connectivity (FC) using FC multivariate pattern analysis (fc-MVPA) to identify the FC patterns with the greatest ability to distinguish between currently depressed patients with BD type I (BD I) and those with MDD. METHODOLOGY In a cross-sectional design, 41 BD I, 40 MDD patients and 63 control participants completed resting state functional magnetic resonance imaging scans. Data-driven fc-MVPA, as implemented in the CONN toolbox, was used to identify clusters with differential FC patterns between BD patients and MDD patients. The identified cluster was used as a seed in a post hoc seed-based analysis (SBA) to reveal associated connectivity patterns, followed by a secondary ROI-to-ROI analysis to characterize differences in connectivity between these patterns among BD I patients, MDD patients and controls. RESULTS FC-MVPA identified one cluster located in the right frontal pole (RFP). The subsequent SBA revealed greater FC between the RFP and posterior cingulate cortex (PCC) and between the RFP and the left inferior/middle temporal gyrus (LI/MTG) and lower FC between the RFP and the left precentral gyrus (LPCG), left lingual gyrus/occipital cortex (LLG/OCC) and right occipital cortex (ROCC) in MDD patients than in BD patients. Compared with the controls, ROI-to-ROI analysis revealed lower FC between the RFP and the PCC and greater FC between the RFP and the LPCG, LLG/OCC and ROCC in BD patients; in MDD patients, the analysis revealed lower FC between the RFP and the LLG/OCC and ROCC and greater FC between the RFP and the LI/MTG. CONCLUSIONS Differences in the RFP FC patterns between currently depressed patients with BD and those with MDD suggest potential neuroimaging markers that should be further examined. Specifically, BD patients exhibit increased FC between the RFP and the motor and visual networks, which is associated with psychomotor symptoms and heightened compensatory frontoparietal FC to counter distractibility. In contrast, MDD patients exhibit increased FC between the RFP and the default mode network, corresponding to sustained self-focus and rumination.
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Grants
- Cooperatio Program, Neuroscience 3rd Faculty of Medicine, Charles University, Czech Republic
- Cooperatio Program, Neuroscience 3rd Faculty of Medicine, Charles University, Czech Republic
- Cooperatio Program, Neuroscience 3rd Faculty of Medicine, Charles University, Czech Republic
- Cooperatio Program, Neuroscience 3rd Faculty of Medicine, Charles University, Czech Republic
- NU22-04-00192 Agentura Pro Zdravotnický Výzkum České Republiky
- NU22-04-00192 Agentura Pro Zdravotnický Výzkum České Republiky
- NU22-04-00192 Agentura Pro Zdravotnický Výzkum České Republiky
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Affiliation(s)
- Martin Pastrnak
- National Institute of Mental Health, Clinic, Klecany, 250 67, Czech Republic.
- 3rd Faculty of Medicine, Charles University, Prague, 100 00, Czech Republic.
| | - Monika Klirova
- National Institute of Mental Health, Clinic, Klecany, 250 67, Czech Republic
- 3rd Faculty of Medicine, Charles University, Prague, 100 00, Czech Republic
| | - Martin Bares
- National Institute of Mental Health, Clinic, Klecany, 250 67, Czech Republic
- 3rd Faculty of Medicine, Charles University, Prague, 100 00, Czech Republic
| | - Tomas Novak
- National Institute of Mental Health, Clinic, Klecany, 250 67, Czech Republic
- 3rd Faculty of Medicine, Charles University, Prague, 100 00, Czech Republic
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Xiao H, Cao Y, Lizano P, Li M, Sun H, Zhou X, Deng G, Li J, Chand T, Jia Z, Qiu C, Walter M. Interleukin-1β moderates the relationships between middle frontal-mACC/insular connectivity and depressive symptoms in bipolar II depression. Brain Behav Immun 2024; 120:44-53. [PMID: 38777282 DOI: 10.1016/j.bbi.2024.05.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/02/2024] [Accepted: 05/19/2024] [Indexed: 05/25/2024] Open
Abstract
The functional alterations of the brain in bipolar II depression (BDII-D) and their clinical and inflammatory associations are understudied. We aim to investigate the functional brain alterations in BDII-D and their relationships with inflammation, childhood adversity, and psychiatric symptoms, and to examine the moderating effects among these factors. Using z-normalized amplitude of low-frequency fluctuation (zALFF), we assessed the whole-brain resting-state functional activity between 147 BDII-D individuals and 150 healthy controls (HCs). Differential ALFF regions were selected as seeds for functional connectivity analysis to observe brain connectivity alterations resulting from abnormal regional activity. Four inflammatory cytokines including interleukin (IL)-6, IL-1β, tumor necrosis factor (TNF)-α, and C-reactive protein (CRP) and five clinical scales including Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), Positive and Negative Syndrome Scale (PANSS), Columbia-Suicide Severity Rating Scale (C-SSRS), and Childhood Trauma Questionnaire (CTQ) were tested and assessed in BDII-D. Partial correlations with multiple comparison corrections identified relationships between brain function and inflammation, childhood adversity, and psychiatric symptoms. Moderation analysis was conducted based on correlation results and previous findings. Compared to HCs, BDII-D individuals displayed significantly lower zALFF in the superior and middle frontal gyri (SFG and MFG) and insula, but higher zALFF in the occipital-temporal area. Only the MFG and insula-related connectivity exhibited significant differences between groups. Within BDII-D, lower right insula zALFF value correlated with higher IL-6, CRP, and emotional adversity scores, while lower right MFG zALFF was related to higher CRP and physical abuse scores. Higher right MFG-mid-anterior cingulate cortex (mACC) connectivity was associated with higher IL-1β. Moreover, IL-1β moderated associations between higher right MFG-mACC/insula connectivity and greater depressive symptoms. This study reveals that abnormal functional alterations in the right MFG and right insula were associated with elevated inflammation, childhood adversity, and depressive symptoms in BDII-D. IL-1β may moderate the relationship between MFG-related connectivity and depressive symptoms.
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Affiliation(s)
- Hongqi Xiao
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yuan Cao
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07743, Germany; Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, China; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Leipziger Str. 44, Building 65, 39120 Magdeburg, Germany
| | - Paulo Lizano
- The Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; The Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
| | - Meng Li
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07743, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Leipziger Str. 44, Building 65, 39120 Magdeburg, Germany
| | - Huan Sun
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xiaoqin Zhou
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu 610041, PR China
| | - Gaoju Deng
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Jiafeng Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Tara Chand
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07743, Germany; Department of Clinical Psychology, Friedrich Schiller University Jena, Am Steiger 3-1, 07743 Jena, Germany; Jindal Institute of Behavioural Sciences, O. P. Jindal Global University (Sonipat), Haryana, India
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.
| | - Changjian Qiu
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China.
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07743, Germany; German Center for Mental Health (DZPG), partner site Halle-Jena-Magdeburg, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Leipziger Str. 44, Building 65, 39120 Magdeburg, Germany
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Cong E, Zhong Y, Wu M, Chen H, Cai Y, Ling Z, Wang Y, Wen H, Hu Y, Zhang H, Li Y, Liu X, Zhong P, Lai W, Xu Y, Wu Y. Hippocampal subfield morphology from first episodes of bipolar disorder type II and major depressive disorder in a drug naïve Chinese cohort. Front Psychiatry 2024; 15:1438144. [PMID: 39119073 PMCID: PMC11306163 DOI: 10.3389/fpsyt.2024.1438144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Accepted: 07/05/2024] [Indexed: 08/10/2024] Open
Abstract
INTRODUCTION Symptoms during the onset of major depressive disorder [MDD] and bipolar disorder type II [BD-II] are similar. The difference of hippocampus subregion could be a biological marker to distinguish MDD from BD-II. METHODS We recruited 61 drug-naïve patients with a first-episode MDD and BD-II episode and 30 healthy controls (HC) to participate in a magnetic resonance imaging [MRI] study. We built a general linear model (one-way analysis of covariance) with 22 hippocampal subfields and two total hippocampal volumes as dependent variables, and the diagnosis of MDD, BD-II, and HC as independent variables. We performed pair-wise comparisons of hippocampal subfield volumes between MDD and HC, BD-II and MDD, BD-II and HC with post hoc for primary analysis. RESULTS We identified three regions that differed significantly in size between patients and controls. The left hippocampal fissure, the hippocampal-amygdaloid transition area (HATA), and the right subiculum body were all significantly larger in patients with MDD compared with the HC. In the onset of first-episode of MDD, the hippocampal volume increased significantly, especially on the left side comparing to HC. However, we found differences between MDD and BD-II were not statistically significant. The volume of the left HATA and right subiculum body in BD-II was larger. CONCLUSIONS The sample size of this study is relatively small, as it is a cross-sectional comparative study. In both MDD and BD-II groups, the volume of more left subregions appeared to increase. The left subregions were severely injured in the development of depressive disorder.
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Affiliation(s)
- Enzhao Cong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yingyan Zhong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengyue Wu
- X-LANCE Lab, Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute Shanghai Jiao Tong University, Shanghai, China
| | - Haiying Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiyun Cai
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zheng Ling
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Wen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yao Hu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huifeng Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaohua Liu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pingfang Zhong
- Affective Disorder Department, Lincang Psychiatric Hospital, Lincang, China
| | - Weijie Lai
- Psychiatric Department, Zhangzhou Fukang Hospital, Zhangzhou, China
| | - Yifeng Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Wu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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7
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Argyropoulos GD, Christidi F, Karavasilis E, Bede P, Velonakis G, Antoniou A, Seimenis I, Kelekis N, Smyrnis N, Papakonstantinou O, Efstathopoulos E, Ferentinos P. A Magnetic Resonance Spectroscopy Study on Polarity Subphenotypes in Bipolar Disorder. Diagnostics (Basel) 2024; 14:1170. [PMID: 38893696 PMCID: PMC11172378 DOI: 10.3390/diagnostics14111170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Although magnetic resonance spectroscopy (MRS) has provided in vivo measurements of brain chemical profiles in bipolar disorder (BD), there are no data on clinically and therapeutically important onset polarity (OP) and predominant polarity (PP). We conducted a proton MRS study in BD polarity subphenotypes, focusing on emotion regulation brain regions. Forty-one euthymic BD patients stratified according to OP and PP and sixteen healthy controls (HC) were compared. 1H-MRS spectra of the anterior and posterior cingulate cortex (ACC, PCC), left and right hippocampus (LHIPPO, RHIPPO) were acquired at 3.0T to determine metabolite concentrations. We found significant main effects of OP in ACC mI, mI/tNAA, mI/tCr, mI/tCho, PCC tCho, and RHIPPO tNAA/tCho and tCho/tCr. Although PP had no significant main effects, several medium and large effect sizes emerged. Compared to HC, manic subphenotypes (i.e., manic-OP, manic-PP) showed greater differences in RHIPPO and PCC, whereas depressive suphenotypes (i.e., depressive-OP, depressive-PP) in ACC. Effect sizes were consistent between OP and PP as high intraclass correlation coefficients (ICC) were confirmed. Our findings support the utility of MRS in the study of the neurobiological underpinnings of OP and PP, highlighting that the regional specificity of metabolite changes within the emotion regulation network consistently marks both polarity subphenotypes.
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Affiliation(s)
- Georgios D. Argyropoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Foteini Christidi
- 2nd Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.A.); (N.S.); (P.F.)
- School of Medicine, Democritus University of Alexandroupolis, 681 00 Alexandroupolis, Greece
- Computational Neuroimaging Group, Trinity College Dublin, D08 NHY1 Dublin, Ireland;
| | - Efstratios Karavasilis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
- School of Medicine, Democritus University of Alexandroupolis, 681 00 Alexandroupolis, Greece
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, D08 NHY1 Dublin, Ireland;
- Department of Neurology, St James’s Hospital, D08 W9RT Dublin, Ireland
| | - Georgios Velonakis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Anastasia Antoniou
- 2nd Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.A.); (N.S.); (P.F.)
| | - Ioannis Seimenis
- Medical Physics Laboratory, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece;
| | - Nikolaos Kelekis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Nikolaos Smyrnis
- 2nd Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.A.); (N.S.); (P.F.)
| | - Olympia Papakonstantinou
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Efstathios Efstathopoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.A.); (N.S.); (P.F.)
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8
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Singh MK, Gorelik AJ, Stave C, Gotlib IH. Genetics, epigenetics, and neurobiology of childhood-onset depression: an umbrella review. Mol Psychiatry 2024; 29:553-565. [PMID: 38102485 DOI: 10.1038/s41380-023-02347-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 11/21/2023] [Accepted: 11/27/2023] [Indexed: 12/17/2023]
Abstract
Depression is a serious and persistent psychiatric disorder that commonly first manifests during childhood. Depression that starts in childhood is increasing in frequency, likely due both to evolutionary trends and to increased recognition of the disorder. In this umbrella review, we systematically searched the extant literature for genetic, epigenetic, and neurobiological factors that contribute to a childhood onset of depression. We searched PubMed, EMBASE, OVID/PsychInfo, and Google Scholar with the following inclusion criteria: (1) systematic review or meta-analysis from a peer-reviewed journal; (2) inclusion of a measure assessing early age of onset of depression; and (3) assessment of neurobiological, genetic, environmental, and epigenetic predictors of early onset depression. Findings from 89 systematic reviews of moderate to high quality suggest that childhood-onset depressive disorders have neurobiological, genetic, environmental, and epigenetic roots consistent with a diathesis-stress theory of depression. This review identified key putative markers that may be targeted for personalized clinical decision-making and provide important insights concerning candidate mechanisms that might underpin the early onset of depression.
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9
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Huang Y, Zhang J, He K, Mo X, Yu R, Min J, Zhu T, Ma Y, He X, Lv F, Lei D, Liu M. Innovative Neuroimaging Biomarker Distinction of Major Depressive Disorder and Bipolar Disorder through Structural Connectome Analysis and Machine Learning Models. Diagnostics (Basel) 2024; 14:389. [PMID: 38396428 PMCID: PMC10888009 DOI: 10.3390/diagnostics14040389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/03/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
Major depressive disorder (MDD) and bipolar disorder (BD) share clinical features, which complicates their differentiation in clinical settings. This study proposes an innovative approach that integrates structural connectome analysis with machine learning models to discern individuals with MDD from individuals with BD. High-resolution MRI images were obtained from individuals diagnosed with MDD or BD and from HCs. Structural connectomes were constructed to represent the complex interplay of brain regions using advanced graph theory techniques. Machine learning models were employed to discern unique connectivity patterns associated with MDD and BD. At the global level, both BD and MDD patients exhibited increased small-worldness compared to the HC group. At the nodal level, patients with BD and MDD showed common differences in nodal parameters primarily in the right amygdala and the right parahippocampal gyrus when compared with HCs. Distinctive differences were found mainly in prefrontal regions for BD, whereas MDD was characterized by abnormalities in the left thalamus and default mode network. Additionally, the BD group demonstrated altered nodal parameters predominantly in the fronto-limbic network when compared with the MDD group. Moreover, the application of machine learning models utilizing structural brain parameters demonstrated an impressive 90.3% accuracy in distinguishing individuals with BD from individuals with MDD. These findings demonstrate that combined structural connectome and machine learning enhance diagnostic accuracy and may contribute valuable insights to the understanding of the distinctive neurobiological signatures of these psychiatric disorders.
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Affiliation(s)
- Yang Huang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jingbo Zhang
- College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China (J.M.)
| | - Kewei He
- College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China (J.M.)
| | - Xue Mo
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Renqiang Yu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jing Min
- College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China (J.M.)
| | - Tong Zhu
- College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China (J.M.)
| | - Yunfeng Ma
- College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China (J.M.)
| | - Xiangqian He
- College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China (J.M.)
| | - Fajin Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Du Lei
- College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China (J.M.)
| | - Mengqi Liu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
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10
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Socada JL, Söderholm JJ, Rosenström T, Lahti J, Ekelund J, Isometsä ET. Affect dimensions and variability during major depressive episodes: Ecological momentary assessment of unipolar, bipolar, and borderline patients and healthy controls. J Psychiatr Res 2024; 170:408-416. [PMID: 38218014 DOI: 10.1016/j.jpsychires.2024.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/21/2023] [Accepted: 01/05/2024] [Indexed: 01/15/2024]
Abstract
Differentiating major depressive episodes (MDEs) of major depressive disorder (MDD), bipolar disorder (MDE/BD) and the MDEs comorbid with borderline personality disorder (MDE/BPD) is crucial for appropriate treatment, and knowledge of phenomenological differences may aid this. However, studies comparing affect experiences of these three patient groups and healthy subjects are scarce. In our study, participants (N = 114), including patients with MDD (n = 34), MDE/BD (n = 27), and MDE/BPD (n = 24), and healthy controls (HC, n = 29) responded to ecological momentary assessment (EMA) with ten circumplex model affect items ten times daily for seven days (7709 recordings). Explorative factor analysis resulted in two affect dimensions. The positive dimension included active, excited, cheerful (high arousal), and content (low arousal) affects, and the negative dimension irritated, angry, and nervous (high arousal) affects. Relative to HC, patients reported 3.5-fold negative affects (mean MDD 1.36 (SD 0.92), MDE/BD 1.43 (0.76), MDE/BPD 1.81 (0.95) vs. HC 0.44 (0.49) (p < 0.01)) but 0.5-fold positive affects (2.01 (0.90), 1.95 (0.89), 2.24 (1.03), vs. 3.2 (0.95), respectively (p < 0.01)). We used multilevel modelling. Negative-affect within-individual stability was lowest in MDE/BPD and highest in MDD. Negative affect predicted concurrent positive affect more in MDE/BPD than in MDD. Moderate size of subcohorts and no inpatients were limitations. Despite apparently similar MDEs, affective experiences may differ between BPD, BD, and MDD patients. Clinical subgroups of patients with depression may vary in affective instability and concurrent presence of negative and positive affects during depression.
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Affiliation(s)
- J Lumikukka Socada
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - John J Söderholm
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tom Rosenström
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Folkhälsan Research Centre, Helsinki, Finland
| | - Jesper Ekelund
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Erkki T Isometsä
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
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11
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Dmitriev MN, Baeva DO, Slavgorodskaya MS. [A clinical case of the new-onset bipolar affective disorder in the postcovid period]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:125-129. [PMID: 38529873 DOI: 10.17116/jnevro2024124031125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
A large number of people who have had COVID-19 have developed mental symptoms and mood disorders. Anxiety and depression prevail among affective pathology. Evidence is accumulating that the Sars-CoV-2 virus can induce mania or hypomania in people with no personal psychopathological history. Some clinical, anamnestic and paraclinical patterns of new-onset mania and hypomania have been found. In cases of severe manic symptoms, it is possible to quickly assume the occurrence of bipolar affective disorder. The predominance of depressive and anxiety syndromes in the long-term disease and the presence of vivid vegetative symptoms can mask brief and syndromally incomplete episodes of hypomania, which distorts the understanding of the disease as a bipolar disorder. This article presents such a clinical case of the occurrence of bipolar affective disorder in a patient who had COVID-19 with an asymptomatic course. Approaches to rational diagnosis and treatment are discussed.
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Affiliation(s)
- M N Dmitriev
- Rostov State Medical University, Rostov-on-Don, Russia
| | - D O Baeva
- Rostov State Medical University, Rostov-on-Don, Russia
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12
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Rhee SJ, Ohlsson H, Sundquist J, Sundquist K, Kendler KS. Predictors of diagnostic conversion from major depression to bipolar disorder: a Swedish national longitudinal study. Psychol Med 2023; 53:7805-7816. [PMID: 37427550 PMCID: PMC10755232 DOI: 10.1017/s0033291723001848] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/31/2023] [Accepted: 06/13/2023] [Indexed: 07/11/2023]
Abstract
BACKGROUND It is clinically important to predict the conversion of major depression (MD) to bipolar disorder (BD). Therefore, we sought to identify related conversion rates and risk factors. METHODS This cohort study included the Swedish population born from 1941 onward. Data were collected from Swedish population-based registers. Potential risk factors, including family genetic risk scores (FGRS), which were calculated based on the phenotypes of relatives in the extended family and not molecular data, and demographic/clinical characteristics from these registers were retrieved. Those with first MD registrations from 2006 were followed up until 2018. The conversion rate to BD and related risk factors were analyzed using Cox proportional hazards models. Additional analyses were performed for late converters and with stratification by sex. RESULTS The cumulative incidence of conversion was 5.84% [95% confidence interval (95% CI) 5.72-5.96] for 13 years. In the multivariable analysis, the strongest risk factors for conversion were high FGRS of BD [hazard ratio (HR) = 2.73, 95% CI 2.43-3.08], inpatient treatment settings (HR = 2.64, 95% CI 2.44-2.84), and psychotic depression (HR = 2.58, 95% CI 2.14-3.11). For late converters, the first registration of MD during the teenage years was a stronger risk factor when compared with the baseline model. When the interactions between risk factors and sex were significant, stratification by sex revealed that they were more predictive in females. CONCLUSIONS Family history of BD, inpatient treatment, and psychotic symptoms were the strongest predictors of conversion from MD to BD.
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Affiliation(s)
- Sang Jin Rhee
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Henrik Ohlsson
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kenneth S. Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
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13
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Song X, Feng Y, Yi L, Zhong B, Li Y. Changes in thyroid function levels in female patients with first-episode bipolar disorder. Front Psychiatry 2023; 14:1185943. [PMID: 38025417 PMCID: PMC10679747 DOI: 10.3389/fpsyt.2023.1185943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 10/13/2023] [Indexed: 12/01/2023] Open
Abstract
Objectives The identification of molecular biomarkers for bipolar disorder is anticipated to greatly improve the diagnosis and treatment of this disease. The objective of this case-control study is to determine whether the blood thyroid hormone levels in bipolar disorder patients are associated with different types of first onset. Methods From August 1, 2020 to July 31, 2021 a total of 120 female patients diagnosed with bipolar disorder and hospitalized at Qingdao Mental Health Center were recruited as the case group, including 60 patients with depression as their first onset (depression first-episode group, DF) and 60 with mania/hypomania as their first onset (mania/hypomania first-episode group, M/HF). A group of 60 healthy adult females matching general demographic data, such as race and age, were selected as the control group. Blood samples were taken from both groups to measure serum triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), and thyroid stimulating hormone (TSH) concentrations. Results The duration of current onset in the M/HF group was significantly less than that in the DF group (23.1 ± 20.2 vs. 125.2 ± 41.0 days). About 27% of patients in the M/HF group had thyroid abnormalities, in contrast to 60% in the DF group. The blood T3 and T4 levels in both the M/HF group and the DF group, as well as the TF3 levels in the DF group, were significantly lower as compared to control. The M/HF group had significantly higher T3 and FT3 levels than the DF group. The blood T3 levels were inversely correlated with the Young's Mania Scale score and the Hamilton Depression Scale score in both the M/HF and DF groups. Conclusion Thyroid dysfunction resulting in reduced levels of blood thyroid levels may be involved in the disease progression of bipolar disorder, and correlated with the clinical symptoms in patients with depression or mania as the first episode.
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Affiliation(s)
- Xiuhua Song
- Department of Psychiatry, Mental Health Center of Qingdao City, Qingdao, Shandong Province, China
| | - Yufang Feng
- Department of Psychiatry, Mental Health Center of Qingdao City, Qingdao, Shandong Province, China
| | - Lei Yi
- Department of Psychiatry, Mental Health Center of Qingdao City, Qingdao, Shandong Province, China
| | - Baoliang Zhong
- Department of Psychiatry, Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yi Li
- Department of Psychiatry, Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei Province, China
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14
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Wu G, Xu H. A synopsis of multitarget therapeutic effects of anesthetics on depression. Eur J Pharmacol 2023; 957:176032. [PMID: 37660970 DOI: 10.1016/j.ejphar.2023.176032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/23/2023] [Accepted: 08/28/2023] [Indexed: 09/05/2023]
Abstract
Depression is a profound mental disorder that dampens the mood and undermines volition, which exhibited an increased incidence over the years. Although drug-based interventions remain the primary approach for depression treatment, the available medications still can't satisfy the patients. In recent years, the newly discovered therapeutic targets such as N-methyl-D-aspartate (NMDA) receptor, α-amino-3-hydroxy-5-methyl-4-isoxazole-propionic acid (AMPA) receptor, and tyrosine kinase B (TrkB) have brought new breakthroughs in the development of antidepressant drugs. Moreover, it has come to light that certain anesthetics possess pharmacological mechanisms intricately linked to the aforementioned therapeutic targets for depression. At present, numerous preclinical and clinical studies have explored the therapeutic effects of anesthetic drugs such as ketamine, isoflurane, N2O, and propofol, on depression. These investigations suggested that these drugs can swiftly ameliorate patients' depression symptoms and engender long-term effects. In this paper, we provide a comprehensive review of the research progress and potential molecular mechanisms of various anesthetic drugs for depression treatment. By shedding light on this subject, we aim to facilitate the development and clinical implementation of new antidepressant drugs based on anesthetic medications.
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Affiliation(s)
- Guowei Wu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China
| | - Hongwei Xu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China.
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15
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Gao Y, Guo X, Wang S, Huang Z, Zhang B, Hong J, Zhong Y, Weng C, Wang H, Zha Y, Sun J, Lu L, Wang G. Frontoparietal network homogeneity as a biomarker for mania and remitted bipolar disorder and a predictor of early treatment response in bipolar mania patient. J Affect Disord 2023; 339:486-494. [PMID: 37437732 DOI: 10.1016/j.jad.2023.07.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 06/13/2023] [Accepted: 07/08/2023] [Indexed: 07/14/2023]
Abstract
OBJECTIVE Previous studies have revealed the frontoparietal network (FPN) plays a key role in the imaging pathophysiology of bipolar disorder (BD). However, network homogeneity (NH) in the FPN among bipolar mania (BipM), remitted bipolar disorder (rBD), and healthy controls (HCs) remains unknown. The present study aimed to explore whether NH within the FPN can be used as an imaging biomarker to differentiate BipM from rBD and to predict treatment efficacy for patients with BipM. METHODS Sixty-six patients with BD (38 BipM and 28 rBD) and 60 HCs participated in resting-state functional magnetic resonance imaging and neuropsychological tests. Independent component analysis and NH analysis were applied to analyze the imaging data. RESULTS Relative to HCs, BipM patients displayed increased NH in the left middle frontal gyrus (MFG), and rBD patients displayed increased NH in the right inferior parietal lobule (IPL). Compared to rBD patients, BipM patients displayed reduced NH in the right IPL. Furthermore, support vector machine results exhibited that NH values in the right IPL could distinguish BipM patients from rBD patients with 69.70 %, 57.89 %, and 91.67 % for accuracy, sensitivity, and specificity, respectively, and support vector regression results exhibited a significant association between predicted and actual symptomatic improvement based on the reduction ratio of the Young` Mania Rating Scale total scores (r = 0.466, p < 0.01). CONCLUSION The study demonstrated distinct NH values in the FPN could serve as a valuable neuroimaging biomarker capable of differentiating patients with BipM and rBD, and NH values of the left MFG as a potential predictor of early treatment response in patients with BipM.
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Affiliation(s)
- Yujun Gao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China; Clinical and Translational Sciences Lab, The Douglas Research Centre, McGill University, Montreal, Canada
| | - Xin Guo
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Sanwang Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhengyuan Huang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Baoli Zhang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jiayu Hong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yi Zhong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China; Department of Neuroscience, City University of Hong Kong, Hong Kong, China
| | - Chao Weng
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China; Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Haibo Wang
- Department of Medical Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yunfei Zha
- Department of Medical Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jie Sun
- Pain Medicine Center, Peking University Third Hospital, Peking University, Beijing, China.
| | - Lin Lu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China; Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China; National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
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16
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Wang Z, Cao H, Cao Y, Song H, Jiang X, Wei C, Yang Z, Li J. Clinical characteristics and cognitive function in bipolar disorder patients with different onset symptom. Front Psychiatry 2023; 14:1253088. [PMID: 37840798 PMCID: PMC10569422 DOI: 10.3389/fpsyt.2023.1253088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 09/01/2023] [Indexed: 10/17/2023] Open
Abstract
Background In recent years, studies on the clinical features and cognitive impairment of patients with different first-episode types of bipolar disorder have received increasing attention. The patients with bipolar disorder may present with different symptoms at first onset. The aim of this study is to assess the cognitive functions of a patient's index episode of bipolar disorder, depression or mania, on risk factors of effecting on cognitive functions. Method One hundred sixty eight patients with bipolar disorder diagnosed for the first time were enrolled in the study. All patients were divided into two groups according to their index episode of bipolar disorder, either depression or mania. Seventy three patients of the cohort had an index episode mania and 95 patients had initial symptoms of depression. Demographic and clinical disease characteristic data of all enrolled patients were collected. Meanwhile, 75 healthy controls were included. Demographic data of controls were collected. The cognitive functions of all patients and controls were detected by continuous performance test (CPT), digital span test (DST) and Wisconsin card sorting test (WCST). The main cognitive functions data were compared among the mania group, depression group and control group. The relevant risk factors affecting cognitive function were analyzed. Results (1) Most patients with bipolar disorder had an index episode depression (56.55% vs. 43.45%). Compared with the depression group, the mania group had later age of onset [(24.01 ± 4.254) vs. (22.25 ± 6.472), t = 2. 122, p = 0.035]. The education level of patient groups was lower than control group (p < 0.001). (2) The healthy control group's DST, WCST and CPT scores were better than the patient groups (All p < 0.05). The mania group's DST (forward, reverse, sum), WCST (total responses, completed classifications, correct responses, incorrect responses, percentage of correct responses, completed the number of responses required for classification, the percentage of conceptualization level, the number of persistent responses, non-persistent errors), CPT (2 digit score, 3 digit score, 4 digit score) was better than the depression group (p < 0.05). (3) In mania group, correlation analysis showed that all CPT parameter, inverse digit span, and the sum of DST was negatively correlated with the education level (All p < 0.05). The CPT-4 digit score was negatively correlated with onset age (p < 0.05). In the WCST, the number of correct responses, the percentage of correct responses and the percentage of conceptualization level were positively correlated with the BRMS score (All p < 0.05). The number of false responses and persistent responses were negatively correlated with the BRMS score (All p < 0.05). The number of persistent errors and percentage of persistent errors was positively correlated with education years (All p < 0.05). In depression group, there was a positive correlation between inverse digit span and the education level (p < 0.05). Conclusion In our study, there were cognitive impairments in attention, memory, and executive function of patients with different onset syndromes of bipolar disorder. Compared with the mania group, the degree of cognitive impairments in bipolar patients with the depressive episode was more severe. The risk factors affecting cognitive impairments included the age of onset, education level, number of hospitalizations and severity of illness.
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Affiliation(s)
- Zhonggang Wang
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
| | - Haiyan Cao
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin, China
| | - Yuying Cao
- Department of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China
| | - Haining Song
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
- Department of Psychiatry, Jining Medical University, Jining, China
| | - Xianfei Jiang
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
| | - Chen Wei
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
| | - Zhenzhen Yang
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
| | - Jie Li
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin, China
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17
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Olgiati P, Serretti A. Antidepressant emergent mood switch in major depressive disorder: onset, clinical correlates and impact on suicidality. Int Clin Psychopharmacol 2023; 38:342-351. [PMID: 37351585 PMCID: PMC10373846 DOI: 10.1097/yic.0000000000000479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 05/08/2023] [Indexed: 06/24/2023]
Abstract
Antidepressant (AD)- emergent mood switch (AEMS) is a common complication of bipolar depression. This study aimed to investigate the prevalence and clinical correlates of subthreshold AEMS (i.e. not fulfilling DSM criteria for hypomanic episodes) in major depressive disorder (MDD) and, prognostically, its impact on AD treatment outcome and suicidality. The study involved 425 outpatients with MDD followed during the acute phase (12 weeks) and continuation (weeks 13-28) AD treatment. AEMS was assessed through the Altman Self-Rating Mania scale (ASRM ≥ 6). Several clinical features differentiated individuals with or without subthreshold AEMS (n = 204 vs. 221): negative self-perception [odds ratio (OR) 1.017-1.565]; panic disorder (OR 1.000-1.091); subthreshold hypomanic episodes (OR 1.466-13.352); childhood emotional abuse (OR 1.053-2.447); lifetime suicidal behaviour (OR 1.027-1.236); AD-related remission (χ 2 = 22.903 P < 0.0001) and suicide ideation (χ 2 = 16.701 P < 0.0001). In AEMS earlier onset showed a strong correlation with bipolar spectrum disorder (overall score: P = 0.0053; mixed depression: P = 0.0154; subthreshold hypomania: P = 0.0150) whereas late-onset was associated with more severe suicidal behaviour ( P < 0.001). In conclusion, our results demonstrate that subthreshold mood switches occur frequently in unipolar depression during acute AD treatment as well as in continuation phase. Time of switch onset seems to have the greatest diagnostic and prognostic value.
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Affiliation(s)
- Paolo Olgiati
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
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Brancati GE, Nunes A, Scott K, O'Donovan C, Cervantes P, Grof P, Alda M. Differential characteristics of bipolar I and II disorders: a retrospective, cross-sectional evaluation of clinical features, illness course, and response to treatment. Int J Bipolar Disord 2023; 11:25. [PMID: 37452256 PMCID: PMC10349025 DOI: 10.1186/s40345-023-00304-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 06/20/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND The distinction between bipolar I and bipolar II disorder and its treatment implications have been a matter of ongoing debate. The aim of this study was to examine differences between patients with bipolar I and II disorders with particular emphasis on the early phases of the disorders. METHODS 808 subjects diagnosed with bipolar I (N = 587) or bipolar II disorder (N = 221) according to DSM-IV criteria were recruited between April 1994 and March 2022 from tertiary-level mood disorder clinics. Sociodemographic and clinical variables concerning psychiatric and medical comorbidities, family history, illness course, suicidal behavior, and response to treatment were compared between the bipolar disorder types. RESULTS Bipolar II disorder patients were more frequently women, older, married or widowed. Bipolar II disorder was associated with later "bipolar" presentation, higher age at first (hypo)mania and treatment, less frequent referral after a single episode, and more episodes before lithium treatment. A higher proportion of first-degree relatives of bipolar II patients were affected by major depression and anxiety disorders. The course of bipolar II disorder was typically characterized by depressive onset, early depressive episodes, multiple depressive recurrences, and depressive predominant polarity; less often by (hypo)mania or (hypo)mania-depression cycles at onset or during the early course. The lifetime clinical course was more frequently rated as chronic fluctuating than episodic. More patients with bipolar II disorder had a history of rapid cycling and/or high number of episodes. Mood stabilizers and antipsychotics were prescribed less frequently during the early course of bipolar II disorder, while antidepressants were more common. We found no differences in global functioning, lifetime suicide attempts, family history of suicide, age at onset of mood disorders and depressive episodes, and lithium response. CONCLUSIONS Differences between bipolar I and II disorders are not limited to the severity of (hypo)manic syndromes but include patterns of clinical course and family history. Caution in the use of potentially mood-destabilizing agents is warranted during the early course of bipolar II disorder.
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Affiliation(s)
- Giulio Emilio Brancati
- Psychiatry Unit 2, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy
| | - Abraham Nunes
- Department of Psychiatry, QEII Health Sciences Centre, Dalhousie University, 5909 Veterans' Memorial Lane, Abbie J. Lane Memorial Building (room 3088), Halifax, NS, B3H 2E2, Canada
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
| | - Katie Scott
- Department of Psychiatry, QEII Health Sciences Centre, Dalhousie University, 5909 Veterans' Memorial Lane, Abbie J. Lane Memorial Building (room 3088), Halifax, NS, B3H 2E2, Canada
| | - Claire O'Donovan
- Department of Psychiatry, QEII Health Sciences Centre, Dalhousie University, 5909 Veterans' Memorial Lane, Abbie J. Lane Memorial Building (room 3088), Halifax, NS, B3H 2E2, Canada
| | - Pablo Cervantes
- Department of Psychiatry, McGill University Health Centre, Montreal, QC, Canada
| | - Paul Grof
- Mood Disorders Center of Ottawa, Ottawa, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Martin Alda
- Department of Psychiatry, QEII Health Sciences Centre, Dalhousie University, 5909 Veterans' Memorial Lane, Abbie J. Lane Memorial Building (room 3088), Halifax, NS, B3H 2E2, Canada.
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Hernandorena CV, Baldessarini RJ, Tondo L, Vázquez GH. Status of Type II vs. Type I Bipolar Disorder: Systematic Review with Meta-Analyses. Harv Rev Psychiatry 2023; 31:173-182. [PMID: 37437249 DOI: 10.1097/hrp.0000000000000371] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
LEARNING OBJECTIVES AFTER PARTICIPATING IN THIS CME ACTIVITY, THE PSYCHIATRIST SHOULD BE BETTER ABLE TO • Analyze and compare the different bipolar disorder (BD) types.• Identify markers that distinguish BD types and explain how the DSM-IV defines the disorder. ABSTRACT Since the status of type II bipolar disorder (BD2) as a separate and distinct form of bipolar disorder (BD) remains controversial, we reviewed studies that directly compare BD2 to type I bipolar disorder (BD1). Systematic literature searching yielded 36 reports with head-to-head comparisons involving 52,631 BD1 and 37,363 BD2 patients (total N = 89,994) observed for 14.6 years, regarding 21 factors (with 12 reports/factor). BD2 subjects had significantly more additional psychiatric diagnoses, depressions/year, rapid cycling, family psychiatric history, female sex, and antidepressant treatment, but less treatment with lithium or antipsychotics, fewer hospitalizations or psychotic features, and lower unemployment rates than BD1 subjects. However, the diagnostic groups did not differ significantly in education, onset age, marital status, [hypo]manias/year, risk of suicide attempts, substance use disorders, medical comorbidities, or access to psychotherapy. Heterogeneity in reported comparisons of BD2 and BD1 limits the firmness of some observations, but study findings indicate that the BD types differ substantially by several descriptive and clinical measures and that BD2 remains diagnostically stable over many years. We conclude that BD2 requires better clinical recognition and significantly more research aimed at optimizing its treatment.
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Affiliation(s)
- Carolina V Hernandorena
- From Braulio A. Moyano Neuropsychiatric Hospital, Buenos Aires, Argentina (Dr. Hernandorena); Department of Psychiatry, Queen's University (Drs. Hernandorena and Vázquez); Harvard Medical School, Boston, MA (Drs. Baldessarini and Tondo); McLean Hospital, Belmont, MA (Drs. Baldessarini, Tondo, and Vázquez); Lucio Bini Mood Disorder Centers, Cagliari and Rome, Italy (Dr. Tondo)
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Argyropoulos GD, Christidi F, Karavasilis E, Bede P, Antoniou A, Velonakis G, Seimenis I, Kelekis N, Smyrnis N, Papakonstantinou O, Efstathopoulos E, Ferentinos P. Predominant polarity as a neurobiological specifier in bipolar disorder: Evidence from a multimodal neuroimaging study. Prog Neuropsychopharmacol Biol Psychiatry 2023; 123:110718. [PMID: 36634808 DOI: 10.1016/j.pnpbp.2023.110718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 11/28/2022] [Accepted: 01/06/2023] [Indexed: 01/11/2023]
Abstract
BACKGROUND While predominant (PP) and onset polarity (OP) have considerable clinical and treatment implications in bipolar disorder (BD), the neurobiological underpinnings of PP and OP from a radiological perspective remain largely unknown. The main objective of this study is to investigate the neuroanatomical profile of polarity subphenotypes (PP and OP) in euthymic BD patients, using a standardized multimodal neuroimaging protocol to evaluate regional gray matter (GM) volumes, cortical thickness, as well as white matter (WM) integrity of major projection, commissural and association tracts. METHODS Forty-two euthymic BD patients stratified for PP and OP and 42 healthy controls (HC) were included in this computational neuroimaging study to comprehensively characterize gray and white matter alterations. Univariate analyses of covariance (ANCOVAs) were conducted with Bonferroni corrections for each MRI modality and Cohen's d effect sizes were calculated for group comparisons. RESULTS Phenotype-associated cortical thickness abnormalities and volumetric alterations were identified, but no WM changes ascertained. Specifically, we found a main effect of OP on GM volume of left middle frontal gyrus and of OP and PP (either or both) on cortical thickness of various regions previously implicated in BD, i.e. inferior frontal gyrus-pars opercularis (left) and pars orbitalis (bilateral), left lateral orbitofrontal gyrus, bilateral medial segment of the superior frontal gyrus, left planum polare, right anterior cingulate gyrus, left anterior and posterior insula, bilateral frontal operculum (both OP and PP); left anterior and posterior orbitofrontal gyrus, left transverse temporal gyrus, right posterior insula (only OP); and right medial frontal cortex (only PP). Based on the magnitude of differences on pairwise comparisons, we found a large effect of OP on cortical thickness in a single region (left anterior orbitofrontal gyrus) (OP-M > OP-D), while PP subgroups showed large or medium effect size differences in cortical thickness (PP-M > PP-D) in a wider array of regions (right medial frontal cortex, left frontal operculum, left inferior frontal gyrus-pars opercularis, bilateral medial segment of the superior frontal gyrus). For most regions, PP-D patients showed the greatest decreases in cortical thickness compared to HC while PP-M showed the smallest, with PP-U showing an "unspecified" pattern mostly lying in-between PP-D and PP-M. CONCLUSIONS Our multimodal imaging findings suggest specific polarity BD subgroups with compromised cortical thickness; we recorded a greater impact of PP on brain structure compared to OP, which provides additional evidence that PP can be considered as a neurobiological specifier in BD.
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Affiliation(s)
- Georgios D Argyropoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Foteini Christidi
- 2nd Department of Psychiatry, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Medical Physics Laboratory, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
| | - Efstratios Karavasilis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece
| | - Peter Bede
- Department of Neurology, St James's Hospital, Dublin, Ireland; Computational Neuroimaging Group, Trinity College Dublin, Ireland
| | - Anastasia Antoniou
- 2nd Department of Psychiatry, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Velonakis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Seimenis
- Medical Physics Laboratory, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Kelekis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Smyrnis
- 2nd Department of Psychiatry, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Olympia Papakonstantinou
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstathios Efstathopoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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McIntyre RS, Bloudek L, Timmons JY, Gillard P, Harrington A. Total healthcare cost savings through improved bipolar I disorder identification using the Rapid Mood Screener in patients diagnosed with major depressive disorder. Curr Med Res Opin 2023; 39:605-611. [PMID: 36776128 DOI: 10.1080/03007995.2023.2177413] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
INTRODUCTION Misdiagnosis of bipolar I disorder (BP-I) as major depressive disorder (MDD) leads to increased healthcare resource utilization and costs. The cost-effectiveness of the Rapid Mood Screener (RMS), a tool to identify BP-I in patients with depressive symptoms, was assessed in patients diagnosed with MDD presenting with depressive episodes. METHODS A decision-tree model of a hypothetical cohort of 1000 patients in a US health plan was used to estimate the number of correct diagnoses and overall total, direct healthcare costs over a 3-year timeframe for RMS-screened versus unscreened patients. Model inputs included the prevalence of BP-I in patients diagnosed with MDD, RMS sensitivity/specificity, and the cost of misdiagnosing BP-I as MDD. RESULTS Screening with the RMS resulted in 171, 159, and 143 additional correct BP-I or MDD diagnoses at Years 1, 2, and 3, respectively. Total healthcare plan cost savings were $1279 per patient in Year 1. Cumulative cost savings per patient for RMS screening versus no RMS screening were $2307 over 2 years and $3011 over 3 years. Scenario analyses showed that the RMS would remain cost-saving assuming a lower prevalence of BP-I (20% or 10%) versus the base case (24.3%). CONCLUSION The RMS is a cost-effective tool to identify BP-I in patients who would otherwise be misdiagnosed with MDD. Screening with the RMS resulted in cost-savings over 3 years, with model results remaining robust even with lower prevalence of BP-I and reduced RMS sensitivity assumptions.
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Affiliation(s)
- Roger S McIntyre
- Department of Psychiatry, University of Toronto, Toronto, Canada
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Staging models applied in a sample of patients with bipolar disorder: Results from a retrospective cohort study. J Affect Disord 2023; 323:452-460. [PMID: 36455717 DOI: 10.1016/j.jad.2022.11.081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 11/18/2022] [Accepted: 11/23/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Bipolar Disorder (BD) is a life-long illness with compelling evidence of progression. Although different staging models have been proposed to evaluate its course, clinical data remain limited. The aim of the present study was to retrospectively assess applicability of available staging approaches and their pattern of progression in a sample of bipolar patients. METHODS In a naturalistic sample of 100 BD patients, retrospective assessment of clinical stages was performed at four time points over 10 years, according to four staging models. Staging progression with potential associations between stages and unfavourable illness characteristics were analyzed. RESULTS A pattern of stage worsening emerged for each model, with a significant increase at every time point. Greater stage increases emerged in patients with lower educational level, age at first elevated episode ≤35 years, duration of illness ≤25 years, and duration of untreated illness ≤5 years. Lower stage values were associated with BD II, no psychiatric hospitalization, depressive onset and predominant polarity, ≤three lifetime episodes, age at first mood stabilizer >40 years, duration of illness ≤25 years, and engaged/employed status. Higher stage values were associated with lower age at first elevated episode and mood stabilizing treatment instead. LIMITATIONS Naturalistic and retrospective design, recruitment at a 2nd level specialistic clinic. CONCLUSIONS Reported findings support the progressive nature of BD and the application of staging models for early intervention, suggesting a conceptualization of a standardized approach to better characterize patients, predict their clinical course, and deliver tailored treatment options.
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Chakrabarti S, Singh N. Psychotic symptoms in bipolar disorder and their impact on the illness: A systematic review. World J Psychiatry 2022; 12:1204-1232. [PMID: 36186500 PMCID: PMC9521535 DOI: 10.5498/wjp.v12.i9.1204] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 05/02/2022] [Accepted: 08/26/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Lifetime psychotic symptoms are present in over half of the patients with bipolar disorder (BD) and can have an adverse effect on its course, outcome, and treatment. However, despite a considerable amount of research, the impact of psychotic symptoms on BD remains unclear, and there are very few systematic reviews on the subject.
AIM To examine the extent of psychotic symptoms in BD and their impact on several aspects of the illness.
METHODS The Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines were followed. An electronic literature search of six English-language databases and a manual search was undertaken to identify published articles on psychotic symptoms in BD from January 1940 to December 2021. Combinations of the relevant Medical Subject Headings terms were used to search for these studies. Articles were selected after a screening phase, followed by a review of the full texts of the articles. Assessment of the methodological quality of the studies and the risk of bias was conducted using standard tools.
RESULTS This systematic review included 339 studies of patients with BD. Lifetime psychosis was found in more than a half to two-thirds of the patients, while current psychosis was found in a little less than half of them. Delusions were more common than hallucinations in all phases of BD. About a third of the patients reported first-rank symptoms or mood-incongruent psychotic symptoms, particularly during manic episodes. Psychotic symptoms were more frequent in bipolar type I compared to bipolar type II disorder and in mania or mixed episodes compared to bipolar depression. Although psychotic symptoms were not more severe in BD, the severity of the illness in psychotic BD was consistently greater. Psychosis was usually associated with poor insight and a higher frequency of agitation, anxiety, and hostility but not with psychiatric comorbidity. Psychosis was consistently linked with increased rates and the duration of hospitalizations, switching among patients with depression, and poorer outcomes with mood-incongruent symptoms. In contrast, psychosis was less likely to be accompanied by a rapid-cycling course, longer illness duration, and heightened suicidal risk. There was no significant impact of psychosis on the other parameters of course and outcome.
CONCLUSION Though psychotic symptoms are very common in BD, they are not always associated with an adverse impact on BD and its course and outcome.
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Affiliation(s)
- Subho Chakrabarti
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, UT, India
| | - Navdeep Singh
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, UT, India
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Mathematical Model of Interaction of Therapist and Patients with Bipolar Disorder: A Systematic Literature Review. J Pers Med 2022; 12:jpm12091469. [PMID: 36143254 PMCID: PMC9503456 DOI: 10.3390/jpm12091469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/04/2022] [Accepted: 09/05/2022] [Indexed: 11/17/2022] Open
Abstract
Mood swings in patients with bipolar disorder (BD) are difficult to control and can lead to self-harm and suicide. The interaction between the therapist and BD will determine the success of therapy. The interaction model between the therapist and BD begins by reviewing the models that were previously developed using the Systematic Literature Review and Bibliometric methods. The limit of articles used was sourced from the Science Direct, Google Scholar, and Dimensions databases from 2009 to 2022. The results obtained were 67 articles out of a total of 382 articles, which were then re-selected. The results of the selection of the last articles reviewed were 52 articles. Using VOSviewer version 1.6.16, a visualization of the relationship between the quotes “model”, “therapy”, “emotions”, and “bipolar disorder” can be seen. This study also discusses the types of therapy that can be used by BD, as well as treatment innovations and the mathematical model of the therapy itself. The results of this study are expected to help further researchers to develop an interaction model between therapists and BD to improve the quality of life of BD.
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25
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Oliva V, De Prisco M, Pons-Cabrera MT, Guzmán P, Anmella G, Hidalgo-Mazzei D, Grande I, Fanelli G, Fabbri C, Serretti A, Fornaro M, Iasevoli F, de Bartolomeis A, Murru A, Vieta E, Fico G. Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder. J Clin Med 2022; 11:3935. [PMID: 35887699 PMCID: PMC9315469 DOI: 10.3390/jcm11143935] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/02/2022] [Accepted: 07/04/2022] [Indexed: 02/05/2023] Open
Abstract
Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder (BD), and it is associated with a severe course of illness, making early identification of the risk factors for SUD in BD warranted. We aimed to identify, through machine-learning models, the factors associated with different types of SUD in BD. We recruited 508 individuals with BD from a specialized unit. Lifetime SUDs were defined according to the DSM criteria. Random forest (RF) models were trained to identify the presence of (i) any (SUD) in the total sample, (ii) alcohol use disorder (AUD) in the total sample, (iii) AUD co-occurrence with at least another SUD in the total sample (AUD+SUD), and (iv) any other SUD among BD patients with AUD. Relevant variables selected by the RFs were considered as independent variables in multiple logistic regressions to predict SUDs, adjusting for relevant covariates. AUD+SUD could be predicted in BD at an individual level with a sensitivity of 75% and a specificity of 75%. The presence of AUD+SUD was positively associated with having hypomania as the first affective episode (OR = 4.34 95% CI = 1.42-13.31), and the presence of hetero-aggressive behavior (OR = 3.15 95% CI = 1.48-6.74). Machine-learning models might be useful instruments to predict the risk of SUD in BD, but their efficacy is limited when considering socio-demographic or clinical factors alone.
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Affiliation(s)
- Vincenzo Oliva
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Maria Teresa Pons-Cabrera
- Addictions Unit, Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (M.T.P.-C.); (P.G.)
| | - Pablo Guzmán
- Addictions Unit, Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (M.T.P.-C.); (P.G.)
| | - Gerard Anmella
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Diego Hidalgo-Mazzei
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Iria Grande
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, 6525 GD Nijmegen, The Netherlands
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 9NU, UK
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
| | - Michele Fornaro
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Felice Iasevoli
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Andrea de Bartolomeis
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Andrea Murru
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Giovanna Fico
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
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Abstract
Bipolar disorder (BD) affects approximately 2% of U.S. adults and is the most costly mental health condition for commercial insurers nationwide. Rates of BD are elevated among persons with depression, anxiety disorders, and substance use disorders-conditions frequently seen by primary care clinicians. In addition, antidepressants can precipitate manic or hypomanic symptoms or rapid cycling in persons with undiagnosed BD. Thus, screening in these high-risk groups is indicated. Effective treatments exist, and many can be safely and effectively administered by primary care clinicians.
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Affiliation(s)
- Mark S Bauer
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
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Cha J, Spielberg JM, Hu B, Altinay M, Anand A. Differences in network properties of the structural connectome in bipolar and unipolar depression. Psychiatry Res Neuroimaging 2022; 321:111442. [PMID: 35152051 PMCID: PMC10577577 DOI: 10.1016/j.pscychresns.2022.111442] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 01/03/2022] [Accepted: 01/10/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Differentiation between Bipolar Disorder Depression (BDD) and Unipolar Major Depressive Disorder (MDD) is critical to clinical practice. This study investigated machine learning classification of BDD and MDD using graph properties of Diffusion-weighted Imaging (DWI)-based structural connectome. METHODS This study included a large number of medication-free (N =229) subjects: 60 BDD, 95 MDD, and 74 Healthy Control (HC) subjects. DWI probabilistic tractography was performed to create Fractional Anisotropy (FA) and Total Streamline (TS)-based structural connectivity matrices. Global and nodal graph properties were computed from these matrices and tested for group differences. Next, using identified graph properties, machine learning classification (MLC) between BDD, MDD, MDD with risk factors for developing BD (MDD+), and MDD without risk factors for developing BD (MDD-) was conducted. RESULTS Communicability Efficiency of the left superior frontal gyrus (SFG) was significantly higher in BDD vs. MDD. In particular, Communicability Efficiency using TS-based connectivity in the left SFG as well as FA-based connectivity in the right middle anterior cingulate area was higher in the BDD vs. MDD- group. There were no significant differences in graph properties between BDD and MDD+. Direct comparison between MDD+ and MDD- showed differences in Eigenvector Centrality (TS-based connectivity) of the left middle frontal sulcus. Acceptable Area Under Curve (AUC) for classification were seen between the BDD and MDD- groups, and between the MDD+ and MDD- groups, using the differing graph properties. CONCLUSION Graph properties of DWI-based connectivity can discriminate between BDD and MDD subjects without risk factors for BD.
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Affiliation(s)
- Jungwon Cha
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, USA; Center for Behavioral Health, Cleveland Clinic, USA
| | | | - Bo Hu
- Center for Quantitative Health Sciences, Cleveland Clinic, USA
| | | | - Amit Anand
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, USA; Center for Behavioral Health, Cleveland Clinic, USA
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Inal N, Ermis C, Koc D, Aksoy S, Karacetin G, Tuncturk M, Eray S, Karabina B, Faruk Akca O, Ozgul D, Gunay Kilic B, Cikili Uytun M, Besenek M, Kavurma C, Bilac O, Gokcen C, Topal Z, Percinel Yazıcı I, Sapmaz SY, Ozyurt G, Diler RS. Index depressive episode and antidepressant exposure were associated with illness characteristics of pediatric bipolar disorder. Acta Psychiatr Scand 2022; 145:200-208. [PMID: 34076890 DOI: 10.1111/acps.13333] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/28/2021] [Accepted: 05/31/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Pediatric bipolar disorder (PBD) is a serious, recurrent disorder leading to severe functional impairment. As a first mood episode, index episode could affect the long-term course of the illness. This study aimed to investigate the clinical characteristics of youth with PBD from our multicenter, nationwide, naturalistic follow-up samples and to identify (i) the effects of index mood episode and (ii) the effect of previous antidepressant treatments on the age at mania onset of PBD. METHOD The study sample consisted of 271 youth with BD-I followed by the child and adolescent psychiatry clinics of seven different university hospitals and three research state hospitals, representing six geographic regions across Turkey. All diagnoses were made according to structured interviews, and all data were retrospectively obtained from clinical records by the clinicians. RESULTS When patients with index depressive/mixed episodes (IDE, n=129) and patients with index (hypo)manic episodes (IME, n=142) were compared, the total number of mood episodes and rapid cycling feature were significantly higher in the IDE group than in the IME group. The Cox regression analysis adjusted for sociodemographic and illness characteristics revealed female adolescents in the IDE group treated with antidepressants were more likely to have an earlier onset of mania (hazard ratio=2.03, 95% confidence interval=1.31-3.12, p=0.001). CONCLUSION This is the first large-scale nationwide follow-up study in Turkey that indicated prior antidepressant treatments were associated with an earlier onset of mania in youth, particularly in adolescent females. Larger prospective studies are needed to identify neurodevelopmental processes underlying PBD and initiate prevention approaches.
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Affiliation(s)
- Neslihan Inal
- Department of Child and Adolescent Psychiatry, Medical Faculty, Dokuz Eylul University, Izmir, Turkey
| | - Cagatay Ermis
- Department of Child and Adolescent Psychiatry, Medical Faculty, Dokuz Eylul University, Izmir, Turkey
| | - Dogukan Koc
- Department of Child and Adolescent Psychiatry, Medical Faculty, Dokuz Eylul University, Izmir, Turkey
| | - Sena Aksoy
- Department of Child and Adolescent Psychiatry, Kastamonu Training and Research Hospital, Kastamonu, Turkey
| | - Gul Karacetin
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| | - Mustafa Tuncturk
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| | - Safak Eray
- Department of Child and Adolescent Psychiatry, Medical Faculty, Bursa Uludag University, Bursa, Turkey
| | - Berna Karabina
- Department of Child and Adolescent Psychiatry, Medical Faculty, Bursa Uludag University, Bursa, Turkey
| | - Omer Faruk Akca
- Department of Child and Adolescent Psychiatry, Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Dilek Ozgul
- Department of Child and Adolescent Psychiatry, Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Birim Gunay Kilic
- Department of Child and Adolescent Psychiatry, Medical Faculty, Ankara University, Ankara, Turkey
| | - Merve Cikili Uytun
- Department of Child and Adolescent Psychiatry, Medical Faculty, Ankara University, Ankara, Turkey
| | - Mert Besenek
- Department of Child and Adolescent Psychiatry, Recep Tayyip Erdogan University, Rize Training and Research Hospital, Rize, Turkey
| | - Canem Kavurma
- Department of Child and Adolescent Psychiatry, Manisa Mental Health Hospital, Manisa, Turkey
| | - Oznur Bilac
- Department of Child and Adolescent Psychiatry, Manisa Mental Health Hospital, Manisa, Turkey
| | - Cem Gokcen
- Department of Child and Adolescent Psychiatry, Medical Faculty, Gaziantep University, Gaziantep, Turkey
| | - Zehra Topal
- Department of Child and Adolescent Psychiatry, Medical Faculty, Gaziantep University, Gaziantep, Turkey
| | - Ipek Percinel Yazıcı
- Department of Child and Adolescent Psychiatry, Medical Faculty, Firat University, Elazig, Turkey
| | - Sermin Yalin Sapmaz
- Department of Child and Adolescent Psychiatry, Medical Faculty, Manisa Celal Bayar University Faculty of Medicine, Manisa, Turkey
| | - Gonca Ozyurt
- Department of Child and Adolescent Psychiatry, Medical Faculty, Izmir Katip Celebi University, İzmir, Turkey
| | - Rasim Somer Diler
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Keramatian K, Pinto JV, Schaffer A, Sharma V, Beaulieu S, Parikh SV, Yatham LN. Clinical and demographic factors associated with delayed diagnosis of bipolar disorder: Data from Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study. J Affect Disord 2022; 296:506-513. [PMID: 34606817 DOI: 10.1016/j.jad.2021.09.094] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/31/2021] [Accepted: 09/26/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND The diagnosis of Bipolar Disorder (BD) is frequently delayed. In this study, we aimed to examine the clinical and demographic factors associated with delayed diagnosis of BD, defined as the difference between the age at first mood episode (depressive, manic, or hypomanic) and the age at the correct diagnosis of BD, using data from a Canadian multicentre naturalistic study. METHODS The sample included 192 patients with Bipolar I Disorder (BD-I) and 127 with Bipolar II Disorder (BP-II) who participated in the Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study. Sociodemographic characteristics and clinical features that had been previously associated with delayed diagnosis of BD were included in the analysis. RESULTS The median delay in diagnosis was 5.0 years in BD-I and 11.0 years in BD-II. Clinical factors such as earlier age of onset, lifetime suicide attempts and comorbid anxiety disorders were associated with a longer delay, whereas the presence of lifetime psychotic symptoms and psychiatric hospitalizations were associated with a shorter delay. Quantile regression analysis showed older age at which professional help was first sought and younger age of onset as predictors of increased delay in diagnosis of BD-I and BD-II. Depression as first episode predicted longer delay in diagnosis of BD-I but not BD-II. CONCLUSION Our findings identified the ongoing lag in identification of a BD diagnosis and the clinical markers most associated with this delay, highlighting the need for implementation of strategies for early identification and interventions in BD.
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Affiliation(s)
- Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Jairo V Pinto
- University Hospital, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Ayal Schaffer
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Verinder Sharma
- Department of Psychiatry, University of Western Ontario, London, ON, Canada
| | - Serge Beaulieu
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Sagar V Parikh
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
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Taylor RH, Ulrichsen A, Young AH, Strawbridge R. Affective lability as a prospective predictor of subsequent bipolar disorder diagnosis: a systematic review. Int J Bipolar Disord 2021; 9:33. [PMID: 34719775 PMCID: PMC8558129 DOI: 10.1186/s40345-021-00237-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 09/02/2021] [Indexed: 11/10/2022] Open
Abstract
Objectives The early pathogenesis and precursors of Bipolar Disorder (BD) are poorly understood. There is some cross-sectional and retrospective evidence of affective lability as a predictor of BD, but this is subject to recall biases. The present review synthesises the prospective evidence examining affective lability and the subsequent development of BD at follow-up. Methods The authors performed a systematic search of PubMed, PsycInfo and Embase (1960–June 2020) and conducted hand searches to identify studies assessing affective lability (according to a conceptually-inclusive definition) at baseline assessment in individuals without a BD diagnosis, and a longitudinal follow-up assessment of bipolar (spectrum) disorders. Results are reported according to the PRISMA guidelines, and the synthesis without meta-analysis (SWiM) reporting guidelines were used to strengthen the narrative synthesis. The Newcastle–Ottawa Scale was used to assess risk of bias (ROB). Results 11 articles describing 10 studies were included. Being identified as having affective lability at baseline was associated with an increased rate of bipolar diagnoses at follow-up; this association was statistically significant in six of eight studies assessing BD type I/II at follow-up and in all four studies assessing for bipolar spectrum disorder (BSD) criteria. Most studies received a ‘fair’ or ‘poor’ ROB grade. Conclusions Despite a paucity of studies, an overall association between prospectively-identified affective lability and a later diagnosis of BD or BSD is apparent with relative consistency between studies. This association and further longitudinal studies could inform future clinical screening of those who may be at risk of BD, with the potential to improve diagnostic accuracy and facilitate early intervention. Supplementary Information The online version contains supplementary material available at 10.1186/s40345-021-00237-1.
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Affiliation(s)
- Rosie H Taylor
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Andrea Ulrichsen
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.,South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK
| | - Rebecca Strawbridge
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.
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Yoldi-Negrete M, Fresán-Orellana A, Jiménez-Tirado M, Martínez-Camarillo S, Palacios-Cruz L, Vieta E, Ortega-Ortiz H, Becerra-Palars C, Gutiérrez-Mora D, Camarena Medellín B. Ten-year course of treated bipolar I disorder: The role of polarity at onset. Brain Behav 2021; 11:e2279. [PMID: 34626089 PMCID: PMC8613434 DOI: 10.1002/brb3.2279] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/15/2021] [Accepted: 06/27/2021] [Indexed: 01/12/2023] Open
Abstract
INTRODUCTION Early-stage predictors of illness course are needed in bipolar disorder (BD). Differences among patients with a first depressive versus maniac/hypomanic episode have been stated, although in most studies, memory bias and time from onset to start of specialized treatment might interfere. The aim was to compare the first 10 years of illness course according to polarity at onset. METHODS 49 type I BD patients admitted for treatment for a first-time affective episode and a following 10-year attendance to the institution were included. A retrospective year by year comparison according to polarity at onset (depressive (DPO) or maniac (MPO)) was performed. Cramer's V and Cohen d were computed to determine effect size. RESULTS 59.2% (n = 29) started with MPO. Both groups were similar in demographic and social outcome characteristics, clinical features, and treatment variables. Patients with DPO reported more depressive episodes than MPO patients (U = 149.0 p < .001, Cohen's d = 0.87); both groups had a similar number of manic episodes. Only during the first year of follow-up, suicide attempts (SA) were more frequent in patients with DPO while the presence of a psychotic episode and psychiatric hospitalizations were more frequent in the MPO group. CONCLUSION According to these findings, it can be concluded that illness onset is only indicative of depressive predominant polarity but is not related to other poor prognostic variables after the first year of illness onset, in treated BD. SA in the first year of an affective disorder could represent a marker of BD.
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Affiliation(s)
- María Yoldi-Negrete
- Laboratorio de Epidemiología Clínica, Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Ana Fresán-Orellana
- Laboratorio de Epidemiología Clínica, Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | | | | | - Lino Palacios-Cruz
- Laboratorio de Epidemiología Clínica, Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Eduard Vieta
- Hospital Clínic, Insitute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Catalonia, Barcelona, Spain
| | - Hiram Ortega-Ortiz
- Dirección de Servicios Clínicos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Claudia Becerra-Palars
- Dirección de Servicios Clínicos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Doris Gutiérrez-Mora
- Dirección de Servicios Clínicos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Beatriz Camarena Medellín
- Departamento de Farmacogenética, Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
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Pastrnak M, Simkova E, Novak T. Insula activity in resting-state differentiates bipolar from unipolar depression: a systematic review and meta-analysis. Sci Rep 2021; 11:16930. [PMID: 34417487 PMCID: PMC8379217 DOI: 10.1038/s41598-021-96319-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 07/26/2021] [Indexed: 02/07/2023] Open
Abstract
Symptomatic overlap of depressive episodes in bipolar disorder (BD) and major depressive disorder (MDD) is a major diagnostic and therapeutic problem. Mania in medical history remains the only reliable distinguishing marker which is problematic given that episodes of depression compared to episodes of mania are more frequent and predominantly present at the beginning of BD. Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive, task-free, and well-tolerated method that may provide diagnostic markers acquired from spontaneous neural activity. Previous rs-fMRI studies focused on differentiating BD from MDD depression were inconsistent in their findings due to low sample power, heterogeneity of compared samples, and diversity of analytical methods. This meta-analysis investigated resting-state activity differences in BD and MDD depression using activation likelihood estimation. PubMed, Web of Science, Scopus and Google Scholar databases were searched for whole-brain rs-fMRI studies which compared MDD and BD currently depressed patients between Jan 2000 and August 2020. Ten studies were included, representing 234 BD and 296 MDD patients. The meta-analysis found increased activity in the left insula and adjacent area in MDD compared to BD. The finding suggests that the insula is involved in neural activity patterns during resting-state that can be potentially used as a biomarker differentiating both disorders.
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Affiliation(s)
- Martin Pastrnak
- National Institute of Mental Health, Clinic, 250 67, Klecany, Czech Republic.
- 3rd Faculty of Medicine, Charles University, 100 00, Prague, Czech Republic.
| | - Eva Simkova
- National Institute of Mental Health, Clinic, 250 67, Klecany, Czech Republic
- 3rd Faculty of Medicine, Charles University, 100 00, Prague, Czech Republic
| | - Tomas Novak
- National Institute of Mental Health, Clinic, 250 67, Klecany, Czech Republic
- 3rd Faculty of Medicine, Charles University, 100 00, Prague, Czech Republic
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Impact of Childhood Trauma and Attachment on Resilience in Remitted Patients with Bipolar Disorder. J Affect Disord 2021; 280:219-227. [PMID: 33220557 DOI: 10.1016/j.jad.2020.11.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 09/22/2020] [Accepted: 11/07/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND Childhood trauma has been reported to be associated with severe course of illness, insecure attachment, and lower resilience in bipolar disorder. We aimed to examine the impact of childhood trauma on resilience and possible mediating role of attachment on this impact in bipolar disorder. METHODS The study group comprised of 110 remitted patients with bipolar disorder. Hamilton Depression Rating Scale (HAM-D) and Young Mani Rating Scale (YMRS) are administered to verify remission. Childhood trauma questionnaire (CTQ-SF), Experiences in Close Relationships-revised (ECR-R), and Resilience Scale for Adults (RSA) scales administered to all patients. RESULTS More than half of patients in bipolar disorder group reported childhood trauma. HAM-D scores were positively associated with childhood trauma total scores and emotional abuse scores, negatively associated with resilience, with attachment-related anxiety. Total childhood trauma scores were associated with lower scores of resilience, higher scores of attachment-related anxiety and avoidance. Resilience scores were negatively associated with attachment-related anxiety and avoidance. Impact of childhood trauma on resilience was partly mediated by attachment-related anxiety and avoidance, respectively. LIMITATIONS The cross-sectional design of this study is a limitation in terms of determining causality of the identified relationships. CONCLUSIONS Childhood traumas are associated with lower resilience and higher attachment-related anxiety and avoidance. Attachment-related anxiety and avoidance partly mediated the negative effect of childhood trauma on resilience. Since resilience is associated with increased quality of life in bipolar disorder, it might be helpful to develop attachment-informed psychosocial interventions to ameliorate the detrimental effect of childhood trauma on resilience.
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Jiang X, Wang X, Jia L, Sun T, Kang J, Zhou Y, Wei S, Wu F, Kong L, Wang F, Tang Y. Structural and functional alterations in untreated patients with major depressive disorder and bipolar disorder experiencing first depressive episode: A magnetic resonance imaging study combined with follow-up. J Affect Disord 2021; 279:324-333. [PMID: 33096331 DOI: 10.1016/j.jad.2020.09.133] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 09/16/2020] [Accepted: 09/28/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) could assist in identifying objective biomarkers and follow-up study could effectively improve subjective diagnostic accuracy. By combining MRI with follow-up, this study aims to determine the shared and distinct alterations between major depressive disorder (MDD) and bipolar disorder (BD). METHODS Untreated patients with MDD experiencing the first episode were subjected to MRI and subsequent follow-up. Fifteen patients with mania or hypomania were regrouped into BD group. Twenty patients were still grouped as MDD after an average of 37.95 months follow-up. Thirty healthy controls (HCs) were recruited to match the patients. Gray matter volume (GMV) and amygdala-seed functional connectivity (FC) in the whole brain were detected and compared among the three groups. RESULTS GMV analysis revealed that the MDD and BD groups presented reduced GMV predominantly in the parietal, occipital, and frontal regions in the bilateral cerebrum compared with the HCs. The BD group had reduced GMV predominantly in the parietal, temporal, insular regions and the Rolandic operculum in the right-side cerebrum compared with MDD and HC groups. FC analysis revealed that the MDD and BD patients displayed increased FC values mainly in the bilateral parietal, and left occipital regions. Only the BD group displayed increased FC values in the temporal, occipital, parietal and limbic regions in the right-side cerebrum relative to HCs. LIMITATIONS The main limitation is the relatively small sample size. CONCLUSIONS Alterations in the cortical regions and cortico-limbic neural system may provide the scientific basis for differential diagnosis in affective disorders.
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Affiliation(s)
- Xiaowei Jiang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Xinrui Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Linna Jia
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Ting Sun
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Jiahui Kang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Yifang Zhou
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Shengnan Wei
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Feng Wu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Lingtao Kong
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Fei Wang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China.
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China.
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35
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Argyropoulos GD, Christidi F, Karavasilis E, Velonakis G, Antoniou A, Bede P, Seimenis I, Kelekis N, Douzenis A, Papakonstantinou O, Efstathopoulos E, Ferentinos P. Cerebro-cerebellar white matter connectivity in bipolar disorder and associated polarity subphenotypes. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110034. [PMID: 32710925 DOI: 10.1016/j.pnpbp.2020.110034] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/08/2020] [Accepted: 07/12/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The cerebellum has a crucial role in mood regulation. While cerebellar grey matter (GM) alterations have been previously reported in bipolar disorder (BD), cerebro-cerebellar white matter (WM) connectivity alterations and cerebellar GM profiles have not been characterised in the context of predominant polarity (PP) and onset polarity (OP) subphenotypes of BD patients which is the aim of the present study. METHODS Forty-two euthymic BD patients stratified for PP and OP and 42 healthy controls (HC) were included in this quantitative neuroimaging study to evaluate cerebellar GM patterns and cerebro-cerebellar WM connections. Diffusion tensor tractography was used to characterise afferent and efferent cerebro-cerebellar tract integrity. False discovery rate corrections were applied in post-hoc comparisons. RESULTS BD patients exhibited higher fractional anisotropy (FA) in fronto-ponto-cerebellar tracts bilaterally compared to HC. Subphenotype-specific FA profiles were identified within the BD cohort. Regarding PP subgroups, we found FA changes in a) left contralateral fronto-ponto-cerebellar tract (depressive-PP > HC) and b) contralateral/ipsilateral fronto-ponto-cerebellar tracts bilaterally (manic-PP > HC). Regarding OP subgroups, we observed FA changes in a) left/right contralateral fronto-ponto-cerebellar tracts (depressive-OP > HC) and b) all fronto-ponto-cerebellar, most parieto-ponto-cerebellar and right contralateral occipito-ponto-cerebellar tracts (manic-OP>HC). In general, greater and more widespread cerebro-cerebellar changes were observed in manic-OP patients than in depressive-OP patients compared to HC. Manic-OP showed higher FA compared to depressive-OP patients in several afferent WM tracts. No GM differences were identified between BD and HC and across BD subgroups. CONCLUSIONS Our findings highlight fronto-ponto-cerebellar connectivity alterations in euthymic BD. Polarity-related subphenotypes have distinctive cerebro-cerebellar WM signatures with potential clinical and pathobiological implications.
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Affiliation(s)
- Georgios D Argyropoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Foteini Christidi
- 2nd Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Medical Physics Laboratory, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Efstratios Karavasilis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Velonakis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Antoniou
- 2nd Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Peter Bede
- Biomedical Imaging Laboratory, Sorbonne University, CNRS, INSERM, Paris, France; Computational Neuroimaging Group, Trinity College Dublin, Ireland
| | - Ioannis Seimenis
- Medical Physics Laboratory, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Kelekis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Athanasios Douzenis
- 2nd Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Olympia Papakonstantinou
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstathios Efstathopoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Wang Z, Cao Y, Zhu Y, Li K, Jiang X, Zhuo C, Triplett P, Li J. Differences in Demographic and Clinical Characteristics of Patients With Depressive vs. Manic First Episode of Bipolar Disorder. Front Psychiatry 2021; 12:616415. [PMID: 33613341 PMCID: PMC7890127 DOI: 10.3389/fpsyt.2021.616415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 01/04/2021] [Indexed: 11/19/2022] Open
Abstract
Background: Bipolar disorder is a serious mental disease marked by episodes of depression, mania, hypomania, or mixed states. Patients with bipolar disorder may present with different symptoms at first onset. The aim of this study is to compare demographic and clinical variables based on a patient's first episode of bipolar disorder, including risk of recurrence over a 2-year period. Methods: A large cohort (N = 742) of patients with bipolar disorder in China was analyzed. Patients were divided into two groups according to their first episode of bipolar disorder, either depression or mania. Patients in mixed state first episode were classified based on predominant symptoms. Three hundred eighteen patients of the cohort had a first episode of mania and 424 patients had initial symptoms of depression. Demographic and clinical data were collected. All patients were followed up for 24 months. Data on compliance with follow-up appointments and recurrence of symptoms after 6, 12, 18, and 24 months were collected. Clinical characteristics (course of disease, age of onset, psychiatric family history, etc.) were compared between the mania group and depression groups. Results: More patients with bipolar disorder had a first episode of depression than mania (57.14 vs. 42.86%). Compared with the depression group, the mania group had later age of diagnosis of bipolar disorder [(38.64 ± 13.50) vs. (36.34 ± 14.94), P = 0.028], lower education level [(9.37 ± 4.34) vs. (10.17 ± 4.81), P = 0.017] and longer latency between an initial episode of psychiatric symptoms and formal bipolar diagnosis [(10.80 ± 10.76) vs. (8.85 ± 9.90), P = 0.012]. More patients in the mania group were male and without psychotic symptoms (all P < 0.05). In comparison with the mania group, more patients in the depression group were female, with higher frequency of a reported precipitating event before first mood episode (all P < 0.05). Compared with the depression group, the mania group had more recurrences of illness at the end of 12 months (Z =-2.156, P = 0.031), 18 months (Z =-2.192, P = 0.028), and 24 months (Z = -2.364, P = 0.018). Conclusions: In our study, there are a number of differences in demographic and clinical characteristics of patients with different onset syndromes of bipolar disorder. These differences include gender, education level, diagnosis age, the rate of recurrences, and others. These data of a cohort of Chinese patients add to the growing international literature on the relationship between index episode of bipolar disorder and clinical variables and outcomes. These results and further study may allow clinicians to offer patients and families more reliable prognostic information at the onset of disease.
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Affiliation(s)
- Zhonggang Wang
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China.,Department of Psychiatry, Jining Psychiatric Hospital, Jining, China
| | - Yuying Cao
- Department of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China
| | - Yaya Zhu
- Department of Psychiatry, Jining Psychiatric Hospital, Jining, China
| | - Kunkun Li
- Department of Psychiatry, Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xianfei Jiang
- Department of Psychiatry, Jining Psychiatric Hospital, Jining, China
| | - Chuanjun Zhuo
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Patrick Triplett
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Jie Li
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
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Teobaldi E, Albert U, Di Salvo G, Mencacci C, Rosso G, Salvi V, Maina G. Manic-Depressive Cycles in Bipolar Disorder: Clinical and Treatment Implications. Psychopathology 2021; 54:98-105. [PMID: 33626525 DOI: 10.1159/000513314] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 11/23/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Cycle patterns of bipolar disorders (BDs) have been previously shown to be associated with clinical characteristics and response to lithium salts. Here, we evaluated the distribution of different types of manic-depressive cycles in a large sample of patients with BD. The associations between a mania-depression-interval (MDI) course and depression-mania-interval (DMI) course with sociodemographic/clinical factors were also assessed in order to define specific clinical profiles. METHODS In this cross-sectional study, 806 patients with BD admitted to the Psychiatric Unit of San Luigi Gonzaga Hospital in Orbassano and Molinette Hospital in Turin, Italy, were recruited. Patients were grouped according to the following course patterns: MDI, DMI, continuous cycling (CC, <4 episodes/year without intervals), rapid cycling (RC, ≥4 episodes/year), and irregular (IRR) cycling. We compared several sociodemographic and clinical variables in an MDI versus DMI course by means of ANOVA and Pearson χ2 with Bonferroni correction. RESULTS Bipolar cycles were distributed as follows: 50.2% IRR course, 31.5% MDI course, 16% DMI course, 1.2% CC, and 1% RC. Compared to DMI course, patients with an MDI course were more often men, younger, with an earlier onset, a manic polarity onset, and more lifetime compulsory admissions. They were more frequently treated with lithium and antipsychotics. Patients with a DMI course had older age at diagnosis and at first mood-stabilizer treatment and were more often misdiagnosed with a major depressive disorder. These patients were more commonly treated with anticonvulsants, and they had more frequently failed treatment trials with lithium salts in the past. CONCLUSION This study supports the utility of classifying BD according to their course patterns. This classification holds prognostic as well as therapeutic implications.
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Affiliation(s)
- Elena Teobaldi
- Department of Neurosciences 'Rita Levi Montalcini', University of Torino, Turin, Italy
| | - Umberto Albert
- Department of Medicine, Surgery, and Health Sciences, UCO Clinica Psichiatrica, University of Trieste, Trieste, Italy.,ASUGI, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy
| | - Gabriele Di Salvo
- Department of Neurosciences 'Rita Levi Montalcini', University of Torino, Turin, Italy
| | - Claudio Mencacci
- Department of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy
| | - Gianluca Rosso
- Department of Neurosciences 'Rita Levi Montalcini', University of Torino, Turin, Italy.,Psychiatric Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy
| | - Virginio Salvi
- Department of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy,
| | - Giuseppe Maina
- Department of Neurosciences 'Rita Levi Montalcini', University of Torino, Turin, Italy.,Psychiatric Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy
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38
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Musliner KL, Krebs MD, Albiñana C, Vilhjalmsson B, Agerbo E, Zandi PP, Hougaard DM, Nordentoft M, Børglum AD, Werge T, Mortensen PB, Østergaard SD. Polygenic Risk and Progression to Bipolar or Psychotic Disorders Among Individuals Diagnosed With Unipolar Depression in Early Life. Am J Psychiatry 2020; 177:936-943. [PMID: 32660297 DOI: 10.1176/appi.ajp.2020.19111195] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The authors investigated the associations between polygenic liability and progression to bipolar disorder or psychotic disorders among individuals diagnosed with unipolar depression in early life. METHODS A cohort comprising 16,949 individuals (69% female, 10-35 years old at the first depression diagnosis) from the iPSYCH Danish case-cohort study (iPSYCH2012) who were diagnosed with depression in Danish psychiatric hospitals from 1994 to 2016 was examined. Polygenic risk scores (PRSs) for major depression, bipolar disorder, and schizophrenia were generated using the most recent results from the Psychiatric Genomics Consortium. Hazard ratios for each disorder-specific PRS were estimated using Cox regressions with adjustment for the other two PRSs. Absolute risk of progression was estimated using the cumulative hazard. RESULTS Patients were followed for up to 21 years (median=7 years, interquartile range, 5-10 years). The absolute risks of progression to bipolar disorder and psychotic disorders were 7.3% and 13.8%, respectively. After mutual adjustment for the other PRSs, only the PRS for bipolar disorder predicted progression to bipolar disorder (adjusted hazard ratio for a one-standard-deviation increase in PRS=1.11, 95% CI=1.03, 1.21), and only the PRS for schizophrenia predicted progression to psychotic disorders (adjusted hazard ratio=1.10, 95% CI=1.04, 1.16). After adjusting for PRSs, parental history still strongly predicted progression to bipolar disorder (adjusted hazard ratio=5.02, 95% CI=3.53, 7.14) and psychotic disorders (adjusted hazard ratio=1.63, 95% CI=1.30, 2.06). CONCLUSIONS PRSs for bipolar disorder and schizophrenia are associated with risk for progression to bipolar disorder or psychotic disorders, respectively, among individuals diagnosed with depression; however, the effects are small compared with parental history, particularly for bipolar disorder.
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Affiliation(s)
- Katherine L Musliner
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Morten D Krebs
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Clara Albiñana
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Bjarni Vilhjalmsson
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Esben Agerbo
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Peter P Zandi
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - David M Hougaard
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Merete Nordentoft
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Anders D Børglum
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Thomas Werge
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Preben B Mortensen
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
| | - Søren D Østergaard
- Department of Economics and Business Economics, National Center for Register-Based Research, Aarhus University, Aarhus, Denmark (Musliner, Albiñana, Vilhjalmsson, Agerbo, Mortensen); Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark (Musliner, Krebs, Albiñana, Hougaard, Vilhjalmsson, Agerbo, Nordentoft, Børglum, Werge, Mortensen, Østergaard); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services, Roskilde, Denmark (Krebs, Werge); Center for Integrated Register-Based Research, Aarhus University, Aarhus (Agerbo, Mortensen); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi); Department for Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen (Hougaard); Department of Clinical Medicine, Copenhagen Research Center for Mental Health, Copenhagen University Hospital, Copenhagen (Nordentoft); Center for Genomics and Personalized Medicine, Aarhus (Børglum); Department of Biomedicine and the Center for Integrative Sequencing (Børglum), and Department of Clinical Medicine (Østergaard), Aarhus University, Aarhus; and Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus (Østergaard)
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Barreiros AR, Breukelaar IA, Chen W, Erlinger M, Antees C, Medway M, Boyce P, Hazell P, Williams LM, Malhi GS, Harris AWF, Korgaonkar MS. Neurophysiological markers of attention distinguish bipolar disorder and unipolar depression. J Affect Disord 2020; 274:411-419. [PMID: 32663971 DOI: 10.1016/j.jad.2020.05.048] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 03/30/2020] [Accepted: 05/10/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Attentional deficits are common in both symptomatic and symptom-remitted patients with bipolar disorder (BP) and major depressive disorder (MDD). However, whether the level of neurocognitive impairment in attentional processing is different between these two disorders, or not, is still unclear. Thus, we investigated the P300 event-related potential component as a biomarker of cognitive dysfunction to differentiate BP and MDD. METHODS Twenty-three age and gender matched BP, 20 MDD and 23 healthy controls (HC) were part of a discovery cohort to identify neurophysiological differences between groups and build a classification model of these disorders. The replication of this model was then tested in an independent second cohort of 17 BP, 19 MDD and 19 HC. All participants were symptom-remitted for at least two weeks. We compared neural responses to target stimuli during an auditory oddball task, computing peak amplitude and latency of the P300 component extracted from the midline centro-parietal electrode. RESULTS BP had significantly smaller P300 amplitudes compared to both MDD and HC, whereas there were no differences between MDD and HC. The differences between groups were replicated in the second cohort, however the accuracy level of the classification model was only 53.5%. LIMITATIONS Small sample sizes may have led to low accuracy levels of the classification model. CONCLUSION Specific neural mechanisms of attention and context updating seem not to recover with symptom remission in BP. These findings contribute to the detection of a potential electrophysiological marker for BP, which may allow its differentiation from unipolar major depressive disorder.
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Affiliation(s)
- Ana R Barreiros
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia.
| | - Isabella A Breukelaar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia
| | - Wenting Chen
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia
| | - May Erlinger
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia
| | - Cassandra Antees
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia
| | - Meredith Medway
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia
| | - Philip Boyce
- Discipline of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Philip Hazell
- Discipline of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Leanne M Williams
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Palo Alto VA, Palo Alto, CA, USA
| | - Gin S Malhi
- Discipline of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia; CADE Clinic, Department of Psychiatry, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Anthony W F Harris
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Discipline of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Discipline of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia.
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40
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Sharma V, Viguera AC, Di Florio A, Mazmanian D, Koukopoulos A, Sani G, Palagini L, Özerdem A. Primacy of (hypo) mania in the postpartum period: A concept worth considering. Bipolar Disord 2020; 22:553-555. [PMID: 32860328 DOI: 10.1111/bdi.12988] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Verinder Sharma
- Department of Psychiatry and Department of Obstetrics and Gynecology, Western University, London, ON, Canada.,Parkwood Institute Mental Health Care Building, London, ON, Canada
| | - Adele C Viguera
- Cleveland Clinic, Cleveland, OH, USA.,Massachusetts General Hospital, Boston, MA, USA
| | - Arianna Di Florio
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.,MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, UK
| | - Dwight Mazmanian
- Department of Psychology, Lakehead University, Thunder Bay, ON, Canada
| | | | - Gabriele Sani
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy.,Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Laura Palagini
- Psychiatric Clinic, Department of Clinical and Experimental Medicine, University Hospital, Pisa, Italy
| | - Ayşegül Özerdem
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
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41
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de Azevedo Cardoso T, Jansen K, Mondin TC, Pedrotti Moreira F, de Lima Bach S, da Silva RA, de Mattos Souza LD, Balanzá-Martínez V, Frey BN, Kapczinski F. Lifetime cocaine use is a potential predictor for conversion from major depressive disorder to bipolar disorder: A prospective study. Psychiatry Clin Neurosci 2020; 74:418-423. [PMID: 32306467 DOI: 10.1111/pcn.13012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 04/03/2020] [Accepted: 04/15/2020] [Indexed: 12/24/2022]
Abstract
AIM We aimed to identify whether lifetime cocaine use is a risk factor for conversion from major depressive disorder (MDD) to bipolar disorder (BD) in an outpatient sample of adults. METHODS This prospective cohort study included 585 subjects aged 18 to 60 years who had been diagnosed with MDD as assessed by the Mini International Neuropsychiatric Interview (MINI-Plus) at baseline (2012-2015). Subjects were reassessed a mean of 3 years later (2017-2018) for potential conversion to BD as assessed by the MINI-Plus. Lifetime cocaine use was assessed using the Alcohol, Smoking, and Substance Involvement Screening Test. RESULTS In the second wave, we had 117 (20%) losses, and 468 patients were reassessed. The rate of conversion from MDD to BD in 3 years was 12.4% (n = 58). A logistic regression analysis showed that the risk for conversion from MDD to BD was 3.41-fold higher (95% confidence interval, 1.11-10.43) in subjects who reported lifetime cocaine use at baseline as compared to individuals who did not report lifetime cocaine use at baseline, after adjusting for demographic and clinical confounders. CONCLUSION These findings showed that lifetime cocaine use is a potential predictor of conversion to BD in an MDD cohort. Further studies are needed to assess the possible underlying mechanisms linking exposure to cocaine with BD conversion.
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Affiliation(s)
- Taiane de Azevedo Cardoso
- Mood Disorders Program, Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, Canada.,Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | - Karen Jansen
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | - Thaise C Mondin
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil.,Federal University of Pelotas, Pelotas, Brazil
| | - Fernanda Pedrotti Moreira
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | - Suelen de Lima Bach
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil
| | - Ricardo A da Silva
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | - Luciano D de Mattos Souza
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | | | - Benicio N Frey
- Mood Disorders Program, Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, Canada.,Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, Canada
| | - Flavio Kapczinski
- Mood Disorders Program, Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, Canada.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
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Serra G, Koukopoulos A, De Chiara L, Koukopoulos A, Sani G, Tondo L, Girardi P, Reginaldi D, Baldessarini R. Early clinical predictors and correlates of long-term morbidity in bipolar disorder. Eur Psychiatry 2020; 43:35-43. [DOI: 10.1016/j.eurpsy.2017.02.480] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Revised: 01/31/2017] [Accepted: 02/06/2017] [Indexed: 10/20/2022] Open
Abstract
AbstractObjectives:Identifying factors predictive of long-term morbidity should improve clinical planning limiting disability and mortality associated with bipolar disorder (BD).Methods:We analyzed factors associated with total, depressive and mania-related long-term morbidity and their ratio D/M, as %-time ill between a first-lifetime major affective episode and last follow-up of 207 BD subjects. Bivariate comparisons were followed by multivariable linear regression modeling.Results:Total % of months ill during follow-up was greater in 96 BD-II (40.2%) than 111 BD-I subjects (28.4%; P = 0.001). Time in depression averaged 26.1% in BD-II and 14.3% in BD-I, whereas mania-related morbidity was similar in both, averaging 13.9%. Their ratio D/M was 3.7-fold greater in BD-II than BD-I (5.74 vs. 1.96; P < 0.0001). Predictive factors independently associated with total %-time ill were: [a] BD-II diagnosis, [b] longer prodrome from antecedents to first affective episode, and [c] any psychiatric comorbidity. Associated with %-time depressed were: [a] BD-II diagnosis, [b] any antecedent psychiatric syndrome, [c] psychiatric comorbidity, and [d] agitated/psychotic depressive first affective episode. Associated with %-time in mania-like illness were: [a] fewer years ill and [b] (hypo)manic first affective episode. The long-term D/M morbidity ratio was associated with: [a] anxious temperament, [b] depressive first episode, and [c] BD-II diagnosis.Conclusions:Long-term depressive greatly exceeded mania-like morbidity in BD patients. BD-II subjects spent 42% more time ill overall, with a 3.7-times greater D/M morbidity ratio, than BD-I. More time depressed was predicted by agitated/psychotic initial depressive episodes, psychiatric comorbidity, and BD-II diagnosis. Longer prodrome and any antecedent psychiatric syndrome were respectively associated with total and depressive morbidity.
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43
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Mysula YI. PRIMARY EPISODE OF BIPOLAR AFFECTIVE DISORDER. INTERNATIONAL JOURNAL OF MEDICINE AND MEDICAL RESEARCH 2020. [DOI: 10.11603/ijmmr.2413-6077.2019.2.10895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background. Bipolar affective disorder (BAD) is a topical issue of contemporary psychiatry. The features of the primary episode (PE) of the disease are extremely important for prognosis, treatment and rehabilitation measures of BAD. Individual psychological features of the patients with PE of BAD are still unexplored that complicates development of new methods of prediction, treatment and prevention of BAD. Objective. The aim of the study was to investigate individual psychological features of the patients with a primary episode of bipolar affective disorder, taking into account the gender factor and clinical variant of the BAD debut. Methods. 153 patients (65 men and 88 women) with a primary episode of bipolar affective disorder were examined. The patients were divided into three groups according to the clinical variant of the course of PE of BAD: depressive variant, manic variant and mixed variant. The examination was carried out using the Standardized multifactor method of personality research (SMMPR). Statistical processing of the data was performed using the non-parametric Mann-Whitney test. Results. The most significant differences in the quantitative indicators of SMMPR were found when comparing depressive and manic, as well as depressive and mixed variants of PE of BAD, and lesser – when comparing manic and mixed variants. Most of all, these differences were expressed in terms of pessimism, impulsiveness, individualism and optimism. Conclusions. Some peculiar features of male and female patients with depressive, manic and mixed variants of PE of BAD promoting to search for new methods of prediction, treatment and prevention of BAD have been defined.
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Baldessarini RJ, Vázquez GH, Tondo L. Bipolar depression: a major unsolved challenge. Int J Bipolar Disord 2020; 8:1. [PMID: 31903509 PMCID: PMC6943098 DOI: 10.1186/s40345-019-0160-1] [Citation(s) in RCA: 131] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Accepted: 09/27/2019] [Indexed: 12/16/2022] Open
Abstract
Depression in bipolar disorder (BD) patients presents major clinical challenges. As the predominant psychopathology even in treated BD, depression is associated not only with excess morbidity, but also mortality from co-occurring general-medical disorders and high suicide risk. In BD, risks for medical disorders including diabetes or metabolic syndrome, and cardiovascular disorders, and associated mortality rates are several-times above those for the general population or with other psychiatric disorders. The SMR for suicide with BD reaches 20-times above general-population rates, and exceeds rates with other major psychiatric disorders. In BD, suicide is strongly associated with mixed (agitated-dysphoric) and depressive phases, time depressed, and hospitalization. Lithium may reduce suicide risk in BD; clozapine and ketamine require further testing. Treatment of bipolar depression is far less well investigated than unipolar depression, particularly for long-term prophylaxis. Short-term efficacy of antidepressants for bipolar depression remains controversial and they risk clinical worsening, especially in mixed states and with rapid-cycling. Evidence of efficacy of lithium and anticonvulsants for bipolar depression is very limited; lamotrigine has long-term benefit, but valproate and carbamazepine are inadequately tested and carry high teratogenic risks. Evidence is emerging of short-term efficacy of several modern antipsychotics (including cariprazine, lurasidone, olanzapine-fluoxetine, and quetiapine) for bipolar depression, including with mixed features, though they risk adverse metabolic and neurological effects.
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Affiliation(s)
- Ross J Baldessarini
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
- International Consortium for Bipolar & Psychotic Disorders Research, McLean Hospital, Belmont, MA, USA.
| | - Gustavo H Vázquez
- International Consortium for Bipolar & Psychotic Disorders Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Queen's University School of Medicine, Kingston, ON, Canada
| | - Leonardo Tondo
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- International Consortium for Bipolar & Psychotic Disorders Research, McLean Hospital, Belmont, MA, USA
- Lucio Bini Mood Disorder Center, Cagliari, Sardinia, Italy
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45
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Jiang X, Fu S, Yin Z, Kang J, Wang X, Zhou Y, Wei S, Wu F, Kong L, Wang F, Tang Y. Common and distinct neural activities in frontoparietal network in first-episode bipolar disorder and major depressive disorder: Preliminary findings from a follow-up resting state fMRI study. J Affect Disord 2020; 260:653-659. [PMID: 31542559 DOI: 10.1016/j.jad.2019.09.063] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 09/05/2019] [Accepted: 09/11/2019] [Indexed: 01/28/2023]
Abstract
BACKGROUND It is difficult to distinguish bipolar disorder (BD) from major depressive disorder (MDD), especially with the initial depressive episode. In this study, we compared neural activities of BD and MDD patients during the first-episode (FE) to investigate common and distinct neural activities and further explore predictive indicators in the two diseases. METHODS FE-MDD patients were performed resting state functional magnetic resonance imaging and followed up after scanning. After follow-up, FE-MDD patients were regrouped into FE-BD and FE-MDD patients. The study included 24 FE-BD patients, 28 FE-MDD patients, and 30 age- and sex-matched healthy controls (HC) to investigate neural activities with regional homogeneity (ReHo) analysis among the 3 groups. RESULTS Compared to HC, FE-BD patients displayed significantly higher ReHo values in the superior frontal gyrus, the medial superior frontal gyrus within right-side cerebral hemisphere than FE-MDD patients and HC. Compared to HC, FE-BD and FE-MDD patients displayed significant decreased ReHo values in the paracentral lobule, the precuneus and the median cingulate and paracingulate gyrus within bilateral cerebral hemisphere, and the postcentral gyrus and the precentral gyrus within the right-side. FE-BD displayed significant lower ReHo values than FE-MDD patients in these regions. LIMITATIONS The potential effects of medicine, age, course of disease and handedness on results could not be ignored. CONCLUSIONS Abnormal neural activities of frontoparietal network may provide common and distinct markers to affective disorders and scientific basis for further prediction researches of affective disorders.
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Affiliation(s)
- Xiaowei Jiang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Shinan Fu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Zhiyang Yin
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Jiahui Kang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Xinrui Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Yifang Zhou
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Shengnan Wei
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Feng Wu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Lingtao Kong
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Fei Wang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China.
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China.
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García-Jiménez J, Gutiérrez-Rojas L, Jiménez-Fernández S, González-Domenech PJ, Carretero MD, Gurpegui M. Features Associated With Depressive Predominant Polarity and Early Illness Onset in Patients With Bipolar Disorder. Front Psychiatry 2020; 11:584501. [PMID: 33304285 PMCID: PMC7701086 DOI: 10.3389/fpsyt.2020.584501] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 10/15/2020] [Indexed: 12/19/2022] Open
Abstract
Objective: The aim of this study is to determine the prevalence of three possible diagnostic specifiers, namely predominant polarity (PP) throughout illness, polarity of the first episode and early age at onset, in a sample of bipolar disorder (BD) patients and their association with important socio-demographic, clinical and course-of-illness variables. Methods: A retrospective and naturalistic study on 108 BD outpatients, who were classified according to the PP, polarity of the first episode and early age at onset (≤ 20 years) [vs. late (>20 years)] and were characterized by their demographics, clinical data, functionality and social support, among others features. After bivariate analyses, those variables showing certain association (P value < 0.25) with the three dependent variables were entered in logistic regression backward selection procedures to identify the variables independently associated with the PP, polarity of the first episode and early age at onset. Results: The sample consisted of 75 women ad 33 men, 74% with type I BD and 26% with type II. Around 70% had depressive PP, onset with a depressive episode and onset after age 20. Depressive PP was independently associated with depressive onset, higher score on the CGI severity scale and work disability. Onset with depressive episode was associated with type II BD, longer diagnostic delay and higher score on family disability. Early age at onset (≤ 20 years) was associate with younger age, longer diagnostic delay, presence of ever psychotic symptoms, current use of antipsychotic drugs and higher social support score. Conclusions: The results of this study show that BD patients with depressive PP, onset with depression and early age at onset may represent greater severity, because they are frequently associated with variables that worsen the prognosis. Our findings match up with the conclusions of two systematic reviews and we also include a disability factor (at family and work) that has not been previously reported. This work contributes to the use of polarity and age at onset in BD patients, as it can become a useful instrument in the prognostic and therapeutic applications.
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Affiliation(s)
- Jesús García-Jiménez
- Southern Mental Health Clinical Management Unit, Santa Ana Hospital, Motril, Spain
| | - Luis Gutiérrez-Rojas
- Department of Psychiatry, University of Granada, Granada, Spain.,Psychiatry and Neurosciences Research Group (CTS-549), Institute of Neurosciences, University of Granada, Granada, Spain.,Granada Mental Health Clinical Management Unit, Hospital Clínico San Cecilio, Granada, Spain
| | - Sara Jiménez-Fernández
- Psychiatry and Neurosciences Research Group (CTS-549), Institute of Neurosciences, University of Granada, Granada, Spain.,Child and Adolescent Mental Health Service, Jaén University Hospital Complex, Jaén, Spain
| | - Pablo José González-Domenech
- Department of Psychiatry, University of Granada, Granada, Spain.,Psychiatry and Neurosciences Research Group (CTS-549), Institute of Neurosciences, University of Granada, Granada, Spain
| | | | - Manuel Gurpegui
- Department of Psychiatry, University of Granada, Granada, Spain.,Psychiatry and Neurosciences Research Group (CTS-549), Institute of Neurosciences, University of Granada, Granada, Spain
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Kim SC, Cho CH, Lee Y, Seo JY, Ahn YM, Kim SJ, Ha TH, Cha B, Moon E, Park DY, Baek JH, Kang HJ, An H, Lee HJ. Similarities of Aspects of Biological Rhythms between Major Depression and Bipolar II Disorder Compared to Bipolar I Disorder: A Finding from the Early-Onset Mood Disorder Cohort. Psychiatry Investig 2019; 16:829-835. [PMID: 31648425 PMCID: PMC6877457 DOI: 10.30773/pi.2019.0232] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 09/30/2019] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE The biological rhythm is closely related to mood symptoms. The purpose of this study was to assess the differences in biological rhythms among subjects with mood disorder [bipolar I disorder (BD I), bipolar II disorder (BD II), major depressive disorder (MDD)] and healthy control subjects. METHODS A total of 462 early-onset mood disorder subjects were recruited from nine hospitals. The controls subjects were recruited from the general population of South Korea. Subject groups and control subject were evaluated for the Korean language version of Biological Rhythms Interview of Assessment in Neuropsychiatry (K-BRIAN) at the initial evaluation. RESULTS The mean K-BRIAN scores were 35.59 [standard deviation (SD)=13.37] for BD I, 43.05 (SD=11.85) for BD II, 43.55 (SD=12.22) for MDD, and 29.1 (SD=8.15) for the control group. In the case of mood disorders, biological rhythm disturbances were greater than that in the control group (p<0.05). A significant difference existed between BD I and BD II (BD I <BD II, p<0.001) and between BD I and MDD (BD I<MDD, p< 0.001) but no difference was observed between BD II and MDD. CONCLUSION BD II and MDD are similar to each other but different from BD I in biological rhythm patterns in early-onset mood disorder cases. Biological rhythm disturbances are similar for early-onset major depression and BD II.
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Affiliation(s)
- Su Cheol Kim
- Department of Psychiatry, Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea
| | - Chul-Hyun Cho
- Department of Psychiatry, Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea.,Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Yujin Lee
- Department of Psychiatry, Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea.,Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Ju Yeon Seo
- Department of Psychiatry, Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea.,Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Yong-Min Ahn
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Se Joo Kim
- Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Tae Hyon Ha
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Boseok Cha
- Department of Psychiatry, Gyeongsang National University College of Medicine, Jinju, Republic of Korea
| | - Eunsoo Moon
- Department of Psychiatry, Busan National University School of Medicine, Busan, Republic of Korea
| | - Dong Yeon Park
- Department of Psychiatry, National Center for Mental Health, Seoul, Republic of Korea
| | - Ji Hyun Baek
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hee-Ju Kang
- Department of Psychiatry, Chonnam National University College of Medicine, Gwangju, Republic of Korea
| | - Hyonggin An
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Heon-Jeong Lee
- Department of Psychiatry, Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea.,Chronobiology Institute, Korea University, Seoul, Republic of Korea
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Anxiety disorders anticipate the diagnosis of bipolar disorder in comorbid patients: Findings from an Italian tertiary clinic. J Affect Disord 2019; 257:376-381. [PMID: 31302527 DOI: 10.1016/j.jad.2019.07.033] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 06/18/2019] [Accepted: 07/04/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND Studies indicate bipolar disorder (BD) syndromal symptoms are commonly preceded by sub-syndromal BD symptoms, dysregulated sleep, irritability, and anxiety. We aimed to evaluate prevalence and clinical correlates of anxiety disorders (ADs) at BD onset in outpatients with versus without at least one AD at BD onset. METHODS 246 bipolar spectrum outpatients, according to the text revision of the fourth edition of the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders (DSM- IV-TR), attending Sacco University Hospital in Milan, were recruited and their onset and clinical features assessed retrospectively. Patients were stratified into those with versus without an AD at BD onset (w/A and wo/A), according to a semi-structured clinical interview to provide diagnoses according to (DSM- IV-TR). RESULTS 29% of patients reported being w/A, among whom Panic Disorder (PD, in 55.6%) was the most frequent AD, and first AD occurred approximately 4 years before BD diagnosis. Patients w/A versus wo/A had higher (p < 0.05) rates of BDII and first mood episode being depression versus elevation (mania/hypomania), and lifetime rates of separation anxiety disorder, substance poly-abuse and benzodiazepine abuse. In contrast, patients wo/A had higher lifetime rates of alcohol and illicit drug use. CONCLUSION In this naturalistic sample, ADs, in particular PD, preceded BD in almost 1/3 of BD outpatients, and had distinctive clinical correlates. Further investigation into relationships between BD and AD at onset may enhance early BD diagnosis and treatment.
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Serra G, Koukopoulos A, De Chiara L, Koukopoulos AE, Sani G, Tondo L, Girardi P, Reginaldi D, Baldessarini RJ. Early clinical predictors of long-term morbidity in major depressive disorder. Early Interv Psychiatry 2019; 13:999-1002. [PMID: 30511367 DOI: 10.1111/eip.12768] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 06/04/2018] [Accepted: 11/04/2018] [Indexed: 11/29/2022]
Abstract
AIMS To identify early clinical factors predictive of later morbidity in major depressive disorder (MDD). METHODS We analysed factors associated with long-term depressive morbidity (%-time ill) between a first-lifetime major depressive episode and last follow-up of 116 adults diagnosed with DSM-IV major depressive disorder. Bivariate comparisons were followed by multivariable linear regression modelling. RESULTS Three factors were independently associated with an average of 25%-time-depressed over 17 years at risk: (a) agitated-mixed, or psychotic features in initial major depressive episodes, (b) anxiety syndromes prior to a first-lifetime major depressive episode, and (c) anxiety symptoms in childhood. CONCLUSION Early anxiety symptoms and syndromes and agitated-mixed or psychotic initial depressive episodes predicted more long-term depressive morbidity in MDD.
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Affiliation(s)
- Giulia Serra
- Child Psychiatry Unit, Dept. of Neuroscience, I.R.C.C.S. Children Hospital Bambino Gesù, Rome, Italy.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,International Consortium for Mood & Psychotic Disorders Research, Mailman Research Center, McLean Hospital, Belmont, Massachusetts.,Lucio Bini Mood Disorder Center, Rome, Italy
| | - Athanasios Koukopoulos
- International Consortium for Mood & Psychotic Disorders Research, Mailman Research Center, McLean Hospital, Belmont, Massachusetts.,Lucio Bini Mood Disorder Center, Rome, Italy
| | - Lavinia De Chiara
- NESMOS Department, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Alexia E Koukopoulos
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,Lucio Bini Mood Disorder Center, Rome, Italy
| | - Gabriele Sani
- Lucio Bini Mood Disorder Center, Rome, Italy.,NESMOS Department, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Leonardo Tondo
- Child Psychiatry Unit, Dept. of Neuroscience, I.R.C.C.S. Children Hospital Bambino Gesù, Rome, Italy.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,International Consortium for Mood & Psychotic Disorders Research, Mailman Research Center, McLean Hospital, Belmont, Massachusetts.,Lucio Bini Mood Disorder Center, Cagliari, Sardinia, Italy
| | - Paolo Girardi
- Lucio Bini Mood Disorder Center, Rome, Italy.,NESMOS Department, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Daniela Reginaldi
- International Consortium for Mood & Psychotic Disorders Research, Mailman Research Center, McLean Hospital, Belmont, Massachusetts.,Lucio Bini Mood Disorder Center, Rome, Italy
| | - Ross J Baldessarini
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,International Consortium for Mood & Psychotic Disorders Research, Mailman Research Center, McLean Hospital, Belmont, Massachusetts
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Zhong BL, Xu YM, Xie WX, Li Y. Can P300 aid in the differential diagnosis of unipolar disorder versus bipolar disorder depression? A meta-analysis of comparative studies. J Affect Disord 2019; 245:219-227. [PMID: 30412774 DOI: 10.1016/j.jad.2018.11.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Revised: 09/18/2018] [Accepted: 11/03/2018] [Indexed: 12/26/2022]
Abstract
BACKGROUND It is difficult to distinguish between bipolar disorder (BD) and unipolar disorder (UD) depression. Given the different pattern of cognitive impairments between BD and UD, P300 is potentially useful for the differential diagnosis. This meta-analysis was performed to estimate the extent of difference in P300 in patients with BD versus UD depression. METHODS Studies comparing P300 between depressed BD and UD patients with or without healthy controls (HCs) were retrieved from major English and Chinese databases. Studies with BD and UD samples that were comparable in terms of age, gender, and depression severity, were rated as having high quality. Standardized mean differences (SMDs) of P300 latency and amplitude were calculated. RESULTS In total, eight studies with a total of 397 depressed BD patients, 390 depressed UD patients, and 497 HCs, were included. Among included studies, six were rated as having good quality and three followed BD (n = 146) and UD (n = 144) patients during remission. BD patients had significantly longer P300 latency than UD patients during major depressive episode [SMD (95%CI): 0.580 (0.309, 0.850)] and remission [SMD (95%CI): 1.583 (1.322, 1.844)]. Compared to HCs, remitted BD patients still had significantly longer P300 latency [SMD (95%CI): 0.857 (0.059, 1.656)] but P300 latency of remitted UD patients had decreased to normal [SMD (95%CI): 0.536 (-0.272, 1.343)]. LIMITATIONS Sample sizes of depressed and remitted patients with BD and UD of included studies are small. CONCLUSIONS P300 latency can be used as an auxiliary diagnostic marker for differentiating BD from UD depression.
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Affiliation(s)
- Bao-Liang Zhong
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei Province, PR China; Affiliated Wuhan Mental Health Center (The Ninth Clinical School), Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei Province, PR China
| | - Yan-Min Xu
- Affiliated Wuhan Mental Health Center (The Ninth Clinical School), Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei Province, PR China
| | - Wu-Xiang Xie
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, PR China
| | - Yi Li
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei Province, PR China; Affiliated Wuhan Mental Health Center (The Ninth Clinical School), Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei Province, PR China.
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