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Liu L, Zhao YB, Cheng ZT, Li YH, Liu Y. Development and validation of a prognostic model for critically ill type 2 diabetes patients in ICU based on composite inflammatory indicators. Sci Rep 2025; 15:3627. [PMID: 39880877 PMCID: PMC11779909 DOI: 10.1038/s41598-025-87731-z] [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: 11/28/2024] [Accepted: 01/21/2025] [Indexed: 01/31/2025] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder, and critically ill patients with T2DM in intensive care unit (ICU) have an increased risk of mortality. In this study, we investigated the relationship between nine inflammatory indicators and prognosis in critically ill patients with T2DM to provide a clinical reference for assessing the prognosis of patients admitted to the ICU. Critically ill patients with T2DM were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and divided into training and testing sets (7:3 ratio). An external validation cohort was collected from a single center in China using identical criteria. Logistic and Cox regression analyses were used to evaluate the relationship between nine inflammatory indicators and ICU, 30-day, and 90-day mortality rates. Significant predictive variables were chosen using least absolute shrinkage selection operator (LASSO) regression from logistic regression results, and a prognostic prediction model was built with multivariate logistic regression. The model was validated in both test and external validation sets. A total of 4,783 patients were included for model development and testing; an additional 204 served as the external validation set. The levels of eight inflammatory indicators were significantly correlated with short-term prognosis in critically ill patients with T2DM (P < 0.05 for all). The prediction model showed excellent discrimination performance, with AUC values of 0.825 (95% CI, 0.785-0.864) in the test set and 0.741 (95% CI, 0.630-0.851) in the external validation set. Calibration curves demonstrated strong consistency in both sets. In addition, decision curve analysis showed a net clinical benefit within 1-60% threshold probability in the test set and 10-41% threshold probability in the external validation set. Eight inflammatory indicators were identified as independent risk factors for prognosis in critically ill patients with T2DM. The prediction model showed promising performance in both internal and external validation cohorts, highlighting its potential as a valuable tool for early risk stratification and prediction of the outcomes of personalized treatment strategies in ICU settings.
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Affiliation(s)
- Lin Liu
- Department of Emergency and Critical Care Center, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yan-Bo Zhao
- Department of Emergency and Critical Care Center, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Zhuo-Ting Cheng
- School of Nursing, Hubei University of Medicine, No. 30, Renmin South Road, Maojian District, Shiyan, 442000, Hubei, P. R. China
| | - Ya-Hui Li
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Liu
- Center of Health Administration and Development Studies, Hubei University of Medicine, Shiyan, China.
- School of Nursing, Hubei University of Medicine, No. 30, Renmin South Road, Maojian District, Shiyan, 442000, Hubei, P. R. China.
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Berezin AE. Predictive value of the systemic immune inflammation index in recurrence of atrial fibrillation after radiofrequency catheter ablation. World J Cardiol 2025; 17:102981. [PMID: 39866209 PMCID: PMC11755125 DOI: 10.4330/wjc.v17.i1.102981] [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: 11/05/2024] [Revised: 12/21/2024] [Accepted: 01/02/2025] [Indexed: 01/21/2025] Open
Abstract
The recurrence of atrial fibrillation (AF) in patients after successful radiofrequency catheter ablation (RFCA) appears to be an unresolved clinical issue and needs to be clearly elucidated. There are many factors associated with AF recurrence, such as duration of AF, male sex, concomitant heart failure, hemodynamic parameters, chronic obstructive pulmonary disease, hypertension, obstructive sleep apnea, hyperthyroidism, smoking and obesity. However, the inflammatory changes are strongly associated with electrical and structural cardiac remodeling, cardiac damage, myocardial fibrotic changes, microvascular dysfunction and altered reparative response. In this context, biomarkers reflecting the different stages of AF pathogenesis deserve thorough investigation. The authors of the retrospective study revealed that one-year recurrence rate of non-valvular AF in the high systemic immune inflammation (SII) index group was significantly increased compared to that of the low SII index group and provided additional predictive value to the APPLE. Furthermore, the authors suggest that this biomarker may help physicians to optimize the selection of AF patients and to develop a personalized treatment approach. In conclusion, the SII index may serve as a valuable indicator of recurrent AF in patients after RFCA and may be a biomarker with plausible predictive value for poor clinical outcomes.
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Affiliation(s)
- Alexander E Berezin
- Department of Internal Medicine-II, Paracelsus Medical University Salzburg, Salzburg 5020, Austria.
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Shi R, Tian Y, Tian J, Liu Q, Zhang J, Zhang Z, Sun Y, Xie Z. Association between the systemic immunity-inflammation index and stroke: a population-based study from NHANES (2015-2020). Sci Rep 2025; 15:381. [PMID: 39747980 PMCID: PMC11696299 DOI: 10.1038/s41598-024-83073-4] [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: 07/10/2024] [Accepted: 12/11/2024] [Indexed: 01/04/2025] Open
Abstract
Background The systemic immunity-inflammation index(SII) is a new indicator of composite inflammatory response. Inflammatory response is an important pathological process in stroke. Therefore, this study sought to investigate the association between SII and stroke. Methods We collected data on participants with SII and stroke from the 2015-2020 cycle of National Health and Nutrition Examination Survey (NHANES) for the cross-sectional investigation. Multivariate linear regression models were used to test the association between SII and stroke. Fitted smoothing curves and threshold effect analysis were applied to describe the nonlinear relationship. Results A total of 13,287 participants were included in our study, including 611 (4.598%) participants with stroke. In a multivariate linear regression analysis, we found a significant positive association between SII and stroke, and the odds ratio (OR) [95% CI] of SII associating with prevalence of stroke was [1.02 (1.01, 1.04)] (P < 0.01). In subgroup analysis and interaction experiments, we found that this positive relationship was not significantly correlated among different population settings such as age, gender, race, education level, smoking status, high blood pressure, diabetes and coronary heart disease (P for trend > 0.05). Moreover, we found an nonlinear relationship between SII and stroke with an inflection point of 740 (1,000 cells /µl) by using a two-segment linear regression model. Conclusions This study implies that increased SII levels are linked to stroke. To confirm our findings, more large-scale prospective investigations are needed.
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Affiliation(s)
- Rui Shi
- Graduate School of Hebei University of Chinese Medicine, Shijiazhuang, 050091, Hebei, China
- Department of Neurology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, 050011, Hebei, China
| | - Ye Tian
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China
| | - Junbiao Tian
- Graduate School of Hebei University of Chinese Medicine, Shijiazhuang, 050091, Hebei, China.
- Department of Neurology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, 050011, Hebei, China.
| | - Qiming Liu
- Graduate School of Hebei University of Chinese Medicine, Shijiazhuang, 050091, Hebei, China
- Department of Neurology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, 050011, Hebei, China
| | - Jiayun Zhang
- Graduate School of Hebei University of Chinese Medicine, Shijiazhuang, 050091, Hebei, China
- Department of Neurology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, 050011, Hebei, China
| | - Zhe Zhang
- Graduate School of Hebei University of Chinese Medicine, Shijiazhuang, 050091, Hebei, China
- Department of Neurology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, 050011, Hebei, China
| | - Yaping Sun
- Department of Traditional Chinese Medicine, Hebei General Hospital, Shijiazhuang, 050051, Hebei, China
| | - Zhanwei Xie
- Department of Geriatrics, The Third Hospital of Shijiazhuang, Shijiazhuang, 050000, Hebei, China
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Xie H, Halimulati M, Dou Y, Zhang H, Jiang X, Peng L. Systemic immune-inflammation states in US adults with seropositivity to infectious pathogens: A nutrient-wide association study. JPEN J Parenter Enteral Nutr 2025; 49:94-102. [PMID: 39380423 DOI: 10.1002/jpen.2695] [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: 08/19/2024] [Revised: 09/19/2024] [Accepted: 09/21/2024] [Indexed: 10/10/2024]
Abstract
BACKGROUND Limited understanding exists regarding the association between daily total dietary nutrient intakes and immune-inflammation states in US adults exposed to various pathogens. This study sought to examine the correlation between nutrient intakes and immune-inflammation indicators and to assess their performance in distinguishing immune-inflammation states. METHODS This study was derived from the National Health and Nutrition Examination Survey (NHANES), which included 33,804 participants aged 20 years or older between 2005 and 2018. Multivariable linear regression and restricted cubic spline regression were conducted to evaluate the association between nutrient intakes and immune-inflammation indicators. Receiver operating characteristic curve analysis was performed to evaluate the discriminatory performance of identified nutrients for various immune-inflammation states measured by the systemic immune-inflammation index (SII). RESULTS Ten key nutrients were significantly associated with immune-inflammation responses, including calcium, saturated fatty acid (SFA) 4:0, SFA 6:0, SFA 12:0, SFA 14:0, SFA 16:0, vitamin B2, total SFAs, retinol, and lutein + zeaxanthin, which show potential as dietary indicators. The area under the curve for discriminating various immune-inflammation states was improved by at least 0.03 compared with a model that included only covariates, with all P values <0.05 in the Delong tests, indicating a significant enhancement in model performance. CONCLUSIONS Ten nutrients, including calcium, various SFAs, vitamin B2, retinol, and lutein + zeaxanthin, exhibit significant association with SII and potential as dietary indicators for distinguishing between different immune-inflammation states in US adults with seropositivity to various viruses.
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Affiliation(s)
- He Xie
- Department of Preventive Health Care, Bazhong Central Hospital, Bazhong, Sichuan, China
| | - Mairepaiti Halimulati
- Department of Nutrition Science, the University of Texas at Austin, Austin, Texas, USA
| | - Yuqi Dou
- Health Systems and Equity, Eastern Health Clinical School, Monash University, Boxhill, Victoria, Australia
| | - Hanyue Zhang
- Research Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
- Section for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Xiaowen Jiang
- Department of Epidemiology, School of Clinical Oncology, Peking University, Beijing, China
| | - Lei Peng
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
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Andrés-Blasco I, Gallego-Martínez A, Casaroli-Marano RP, Di Lauro S, Arévalo JF, Pinazo-Durán MD. Molecular-Genetic Biomarkers of Diabetic Macular Edema. J Clin Med 2024; 13:7426. [PMID: 39685883 DOI: 10.3390/jcm13237426] [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: 10/29/2024] [Revised: 11/23/2024] [Accepted: 12/02/2024] [Indexed: 12/18/2024] Open
Abstract
Background: Diabetic macular edema (DME) is a leading cause of vision impairment and blindness among diabetic patients, requiring effective diagnostic and monitoring strategies. This systematic review aims to synthesize current knowledge on molecular biomarkers associated with DME, focusing on their potential to improve diagnostic accuracy and disease management. Methods: A comprehensive search was conducted in PubMed, Embase, Medline, and the Cochrane Central Register of Controlled Trials, covering literature from 2004 to 2023. Out of 1074 articles initially identified, 48 relevant articles were included in this systematic review. Results: We found that molecules involved in several cellular processes, such as neuroinflammation, oxidative stress, vascular dysfunction, apoptosis, and cell-to-cell communication, exhibit differential expression profiles in various biological fluids when comparing diabetic individuals with or without macular edema. Conclusions: The study of these molecules could lead to the proper identification of specific biomarkers that may improve the diagnosis, prognosis, and therapeutic management of DME patients.
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Affiliation(s)
- Irene Andrés-Blasco
- Ophthalmic Research Unit "Santiago Grisolía"/Fisabio, 46017 Valencia, Spain
- Cellular and Molecular Ophthalmo-Biology Group, Department of Surgery, Faculty of Medicina and Odontology, University of Valencia, 46017 Valencia, Spain
- Research Network in Inflammatory Diseases and Immunopathology of Organs and Systems "REI-RICORS", RD21/0002/0032, Institute of Health Carlos III, 28029 Madrid, Spain
| | - Alex Gallego-Martínez
- Ophthalmic Research Unit "Santiago Grisolía"/Fisabio, 46017 Valencia, Spain
- Cellular and Molecular Ophthalmo-Biology Group, Department of Surgery, Faculty of Medicina and Odontology, University of Valencia, 46017 Valencia, Spain
| | - Ricardo Pedro Casaroli-Marano
- Research Network in Inflammatory Diseases and Immunopathology of Organs and Systems "REI-RICORS", RD21/0002/0032, Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Surgery, School of Medicine and Hospital Clínic de Barcelona, Universitat de Barcelona, 08036 Barcelona, Spain
| | - Salvatore Di Lauro
- Department of Ophthalmology, University Clinic Hopital, 47003 Valladolid, Spain
| | - Jose Fernando Arévalo
- Research Network in Inflammatory Diseases and Immunopathology of Organs and Systems "REI-RICORS", RD21/0002/0032, Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Maria Dolores Pinazo-Durán
- Ophthalmic Research Unit "Santiago Grisolía"/Fisabio, 46017 Valencia, Spain
- Cellular and Molecular Ophthalmo-Biology Group, Department of Surgery, Faculty of Medicina and Odontology, University of Valencia, 46017 Valencia, Spain
- Research Network in Inflammatory Diseases and Immunopathology of Organs and Systems "REI-RICORS", RD21/0002/0032, Institute of Health Carlos III, 28029 Madrid, Spain
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Zhao Q, Liu X, Xu J, Rao X, Liu M. Association of systemic immunity-inflammation index with type 2 diabetes and insulin resistance in NHANES 2005-2018. Sci Rep 2024; 14:30133. [PMID: 39627335 PMCID: PMC11615196 DOI: 10.1038/s41598-024-79763-8] [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: 04/24/2024] [Accepted: 11/12/2024] [Indexed: 12/06/2024] Open
Abstract
Although the interplay between inflammation and diabetes is increasingly recognized, it is unclear whether the systemic immunity-inflammation index (SII), as a biomarker of systemic inflammatory response, is associated with type 2 diabetes (T2D) and insulin resistance (IR). This cross-sectional study was performed in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, and finally enrolled 17,017 participants. To explore the relationship between SII and T2D and IR, a series of statistical analyses were conducted including weighted multivariate linear regression, logistic regression, and subgroup analysis. The fully adjusted multivariate linear regression revealed a positive correlation between SII and fasting plasma glucose (β = 0.13, 95% CI: 0.01, 0.24), fasting serum insulin (β = 12.90, 95% CI: 6.77, 19.04), and homeostasis model assessment of insulin resistance (β = 0.68, 95% CI: 0.25, 1.10). A per-SD increase in SII was found to be associated with a 4% increase in the odds of T2D, and a 5% increase in the odds of IR. The trend was significant across all SII quartile groups. Subgroup analysis revealed a stronger positive association existed between SII and T2D and IR in female, younger, and obese populations. SII was positively associated with the risk of T2D and IR, indicating that reducing SII levels may help prevent these conditions in the general population.
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Affiliation(s)
- Qinying Zhao
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xuan Liu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Jialu Xu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xiaojuan Rao
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Ming Liu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China.
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Bolos OC, Sorca BV, Rusu LC, Tapalaga G. Comparative Assessment of the qSOFA, SII, dNLR, and OISS Infection Severity Scores in Diabetic Versus Non-Diabetic Patients with Odontogenic Infections. Biomedicines 2024; 12:2712. [PMID: 39767619 PMCID: PMC11672987 DOI: 10.3390/biomedicines12122712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Revised: 11/24/2024] [Accepted: 11/25/2024] [Indexed: 01/11/2025] Open
Abstract
Background and Objectives: Odontogenic infections (OIs) can progress rapidly and may lead to severe systemic complications, especially in patients with underlying conditions like diabetes mellitus (DM). This study aims to evaluate the predictive value of inflammatory scores-quick Sequential Organ Failure Assessment (qSOFA), Systemic Immune-Inflammation Index (SII), derived Neutrophil-to-Lymphocyte Ratio (dNLR), and Odontogenic Infection Severity Score (OISS)-in assessing the severity of OIs in diabetic versus non-diabetic patients. Materials and Methods: A case-control study was conducted on 123 patients diagnosed with OIs. Patients were divided into two groups: patients with diabetes (n = 42) and patients who were non-diabetic (n = 81). Inflammatory scores were calculated at admission and correlated with clinical outcomes. Statistical analyses included t-tests, chi-square tests, and multivariate logistic regression. Results: The patients with diabetes exhibited significantly higher OISS scores (mean 6.5 ± 2.8) compared to the patients who were non-diabetic (mean 4.8 ± 2.1, p < 0.001). The inflammatory markers qSOFA, SII, and dNLR were significantly elevated in the diabetic group (all p < 0.01). The SII demonstrated the highest predictive accuracy for severe OIs in patients with diabetes, with an area under the curve (AUC) of 0.88 (95% CI: 0.80-0.95). Diabetes mellitus was an independent predictor of severe OIs (OR: 3.2, 95% CI: 1.5-6.8, p = 0.003). Conclusions: Inflammatory scores, particularly SII, are effective in predicting the severity of odontogenic infections in patients with diabetes. Incorporating these scores into clinical practice may enhance the early identification of high-risk patients and improve management strategies.
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Affiliation(s)
- Otilia Cornelia Bolos
- Department of Dental Aesthetics, Faculty of Dental Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Revolutiei Boulevard 9, 300041 Timisoara, Romania;
| | - Bogdan-Valeriu Sorca
- Department of Oral Pathology, Multidisciplinary Center for Research, Evaluation, Diagnosis, and Therapies in Oral Medicine, Faculty of Dental Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Revolutiei Boulevard 9, 300041 Timisoara, Romania;
| | - Laura-Cristina Rusu
- Department of Oral Pathology, Multidisciplinary Center for Research, Evaluation, Diagnosis, and Therapies in Oral Medicine, Faculty of Dental Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Revolutiei Boulevard 9, 300041 Timisoara, Romania;
| | - Gianina Tapalaga
- Department of Odontotherapy and Endodontics, Faculty of Dental Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania;
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Zhang M, Ye S, Li J, Zhang M, Tan L, Wang Y, Xie P, Peng H, Li S, Chen S, Wen Q, Chan KW, Tang SCW, Li B, Chen W. Association of systemic immune-inflammation index with all-cause and cardio-cerebrovascular mortality in individuals with diabetic kidney disease: evidence from NHANES 1999-2018. Front Endocrinol (Lausanne) 2024; 15:1399832. [PMID: 39659615 PMCID: PMC11628304 DOI: 10.3389/fendo.2024.1399832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 11/11/2024] [Indexed: 12/12/2024] Open
Abstract
Background Emerging evidence suggests a potential role of immune response and inflammation in the pathogenesis of diabetic kidney disease (DKD). The systemic immune-inflammation index (SII) offers a comprehensive measure of inflammation; however, its relationship with the prognosis of DKD patients remains unclear. Methods Using data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018, this cross-sectional study involved adults diagnosed with DKD. Cox proportional hazards models were utilized to assess the associations between SII and all-cause or cardio-cerebrovascular disease mortality. Additionally, restricted cubic spline, piecewise linear regression, and subgroup analyses were performed. Results Over a median follow-up duration of 6.16 years, 1338 all-cause deaths were recorded. After adjusting for covariates, elevated SII levels were significantly associated with increased risks of all-cause and cardio-cerebrovascular disease mortality. Specifically, per one-unit increment in natural log-transformed SII (lnSII), there was a 29% increased risk of all-cause mortality (P < 0.001) and a 23% increased risk of cardio-cerebrovascular disease mortality (P = 0.01) in the fully adjusted model. Similar results were observed when SII was analyzed as a categorical variable (quartiles). Moreover, nonlinear association was identified between SII and all-cause mortality (P < 0.001) through restricted cubic spline analysis, with threshold value of 5.82 for lnSII. The robustness of these findings was confirmed in subgroup analyses. Likewise, the statistically significant correlation between SII levels and cardio-cerebrovascular disease mortality persisted in individuals with DKD. Conclusion Increased SII levels, whether examined as continuous variables or categorized, demonstrate a significant association with elevated risks of all-cause and cardio-cerebrovascular disease mortality among DKD patients. These findings imply that maintaining SII within an optimal range could be crucial in reducing mortality risk.
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Affiliation(s)
- Manhuai Zhang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Siyang Ye
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Jianbo Li
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Meng Zhang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Li Tan
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Yiqin Wang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Peichen Xie
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Huajing Peng
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Suchun Li
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Sixiu Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Qiong Wen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Kam Wa Chan
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, Hong Kong SAR, China
| | - Sydney C. W. Tang
- Division of Nephrology, Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Bin Li
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Wei Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- National Health Commission (NHC) Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
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Nai W, Lei L, Zhang Q, Yan S, Xu J, Lin L, Luo W, Chen S, Liu X, Gao Y, Cao S, Xiu J. Systemic inflammation response index and carotid atherosclerosis incidence in the Chinese population: A retrospective cohort study. Nutr Metab Cardiovasc Dis 2024:103787. [PMID: 39734133 DOI: 10.1016/j.numecd.2024.103787] [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: 12/13/2023] [Revised: 10/20/2024] [Accepted: 11/06/2024] [Indexed: 12/31/2024]
Abstract
BACKGROUND AND AIM The relationship between the systemic inflammatory response index (SIRI) and carotid atherosclerosis has not yet been assessed in a longitudinal investigation. Our current study aimed to investigate whether SIRI is related to an increased risk of incident carotid plaque. METHODS AND RESULTS Our study included individuals who did not have carotid atherosclerosis and had undergone yearly health check-ups at the Department of Health Management of Nanfang Hospital between 2011 and 2018 (total n = 3927). SIRI was computed by a composite value of neutrophils, monocytes, and lymphocytes. Over a median follow-up time of 4.42 years, 872 (22.21 %) participants developed carotid plaque in the entire cohort. The adjusted hazard ratio (HR) for the continuous SIRI was 1.093 (95 % CI: 1.021-1.223) in our present study. In the general population, individuals belonging to the highest quartile of SIRI had an elevated risk of carotid plaque, as compared to those within the lowest quartile (HR 1.122, 95 % CI: 1.011-1.391, P for trend = 0.041). Furthermore, this trend was even more pronounced among participants without hypertension, diabetes and hyperlipidemia in the highest SIRI quartile, who demonstrated a markedly increased risk of carotid plaque when contrasted with those in the lowest quartile (HR 1.277, 95 % CI: 1.041-1.568, P for trend = 0.006). CONCLUSIONS Our research findings suggest an association between increased SIRI levels and a higher incidence of carotid atherosclerosis, especially among the people without a history of hypertension, diabetes and hyperlipidemia.
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Affiliation(s)
- Wenqing Nai
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China; Department of Health Management Centre, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Li Lei
- Department of Cardiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
| | - Qiuxia Zhang
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Shaohua Yan
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - JieLing Xu
- Department of Health Management Centre, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Lixia Lin
- Department of Health Management Centre, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Wei Luo
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Siyu Chen
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Xiaocong Liu
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Yanbin Gao
- Department of Burn, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
| | - Shiping Cao
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China; Department of Cardiology, Heyou Hospital, Shunde District, Foshan City, 528306, Guangdong, China.
| | - Jiancheng Xiu
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
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10
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Qing W, Qian Y. Association between systemic immunity-inflammation index and glucose regulation in non-diabetic population: A population-based study from the NHANES (2005-2016). PLoS One 2024; 19:e0313488. [PMID: 39531415 PMCID: PMC11556717 DOI: 10.1371/journal.pone.0313488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Accepted: 10/25/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND To investigated the link between the systemic immunity-inflammation index (SII), a new inflammatory biomarker, and the risk of abnormal glucose regulation in non-diabetic population. METHODS Using data from the 2005-2016 National Health and Nutrition Examination Survey (NHANES), we conducted a cross-sectional study on non-diabetic adults with data on SII and glucose regulation markers. We analyzed the relationship between SII and indicators of glucose regulation, including fasting plasma glucose, fasting insulin, hemoglobin A1c, oral glucose tolerance test (OGTT), and states of abnormal glucose regulation like impaired glucose tolerance (IGT), insulin resistance, and prediabetes. RESULTS Adjusting for confounders, higher SII levels were significantly associated with a higher OGTT and a greater likelihood of IGT (OR = 2.673, 95% CI: 1.845, 3.873). In subgroup analysis, participants without hyperlipidemia in the highest SII quartile had a 240% higher odds of IGT compared to those in the lowest quartile (OR = 3.407, 95%CI: 1.995, 5.820), an association not observed in those with hyperlipidemia (p for interaction < 0.05). CONCLUSIONS SII emerges as a useful biomarker for identifying IGT in non-diabetic individuals, specifically in those without hyperlipidemia.
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Affiliation(s)
- Wenxiang Qing
- Department of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Yujie Qian
- Department of Pediatrics, Xiangya Hospital, Central South University, Changsha, China
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11
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Zhang S, Ma J, Ma Y, Yi J, Wang B, Wang H, Yang Q, Zhang K, Yan X, Sun D, You J. Engineering Probiotics for Diabetes Management: Advances, Challenges, and Future Directions in Translational Microbiology. Int J Nanomedicine 2024; 19:10917-10940. [PMID: 39493275 PMCID: PMC11530765 DOI: 10.2147/ijn.s492651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Accepted: 10/08/2024] [Indexed: 11/05/2024] Open
Abstract
Background Diabetes Mellitus (DM) is a substantial health concern worldwide, and its incidence is progressively escalating. Conventional pharmacological interventions frequently entail undesirable side effects, and while probiotics offer benefits, they are hindered by constraints such as diminished stability and effectiveness within the gastrointestinal milieu. Given these complications, the advent of bioengineered probiotics is a promising alternative for DM management. Aim of Review The objective of this review is to provide an exhaustive synthesis of the most recent studies on the use of engineered probiotics in the management of DM. This study aimed to clarify the mechanisms through which these probiotics function, evaluate their clinical effectiveness, and enhance public awareness of their prospective advantages in the treatment of DM. Key Scientific Concepts of Review Scholarly critiques have explored diverse methodologies of probiotic engineering, including physical alteration, bioenrichment, and genetic manipulation. These techniques augment the therapeutic potency of probiotics by ameliorating gut microbiota, fortifying the intestinal barrier, modulating metabolic pathways, and regulating immune responses. Such advancements have established engineered probiotics as a credible therapeutic strategy for DM, potentially providing enhanced results compared to conventional treatments.
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Affiliation(s)
- Shenghao Zhang
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, 325035, People’s Republic of China
| | - Jiahui Ma
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, 325035, People’s Republic of China
| | - Yilei Ma
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, 325035, People’s Republic of China
| | - Jia Yi
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, 325035, People’s Republic of China
| | - Beier Wang
- Department of Hepatobiliary-Pancreatic Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of China
| | - Hanbing Wang
- Department of Biotechnology, The University of Hong Kong, Hong Kong SAR, 999077, People’s Republic of China
| | - Qinsi Yang
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325000, People’s Republic of China
| | - Kun Zhang
- Chongqing Municipality Clinical Research Center for Endocrinology and Metabolic Diseases, Chongqing University Three Gorges Hospital, Chongqing, 404000, People’s Republic of China
| | - Xiaoqing Yan
- The Chinese-American Research Institute for Diabetic Complications, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, People’s Republic of China
| | - Da Sun
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou, 325035, People’s Republic of China
- Department of Endocrinology, Yiwu Central Hospital, The Affiliated Yiwu hospital of Wenzhou Medical University, Yiwu, 322000, People’s Republic of China
| | - Jinfeng You
- Department of Obstetrics, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, 324000, People’s Republic of China
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12
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Qiu L, Ren Y, Li J, Li M, Li W, Qin L, Ning C, Zhang J, Gao F. Association of systemic immune inflammatory index with obesity and abdominal obesity: A cross-sectional study from NHANES. Nutr Metab Cardiovasc Dis 2024; 34:2409-2419. [PMID: 39069464 DOI: 10.1016/j.numecd.2024.06.003] [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: 03/27/2024] [Revised: 05/31/2024] [Accepted: 06/03/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND AND AIM Our aim was to explore the potential relationship between SII and obesity, as well as abdominal obesity. METHODS AND RESULTS We utilized a weighted multivariable logistic regression model to investigate the relationship between SII and obesity, as well as abdominal obesity. Generalized additive models were employed to test for non-linear associations. Subsequently, we constructed a two-piecewise linear regression model and conducted a recursive algorithm to calculate inflection points. Additionally, subgroup analyses and interaction tests were performed. A total of 7,880 U.S. adult participants from NHANES 2011-2018 were recruited for this study. In the regression model adjusted for all confounding variables, the odds ratios (95% confidence intervals) for the association between SII/100 and obesity, as well as abdominal obesity, were 1.03 (1.01, 1.06) and 1.04 (1.01, 1.08) respectively. There was a non-linear and reverse U-shaped association between SII/100 and obesity, as well as abdominal obesity, with inflection points at 7.32 and 9.98 respectively. Significant positive correlations were observed before the inflection points, while significant negative correlations were found after the inflection points. There was a statistically significant interaction in the analysis of age, hypertension, and diabetes. Moreover, a notable interaction is observed between SII/100 and abdominal obesity within non-Hispanic Asian populations. CONCLUSIONS In adults from the United States, there is a positive correlation between SII and the high risk of obesity, as well as abdominal obesity. Further large-scale prospective studies are needed to analyze the role of SII in obesity and abdominal obesity.
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Affiliation(s)
- Linjie Qiu
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yan Ren
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jixin Li
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Meijie Li
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wenjie Li
- Shanxi University of Chinese Medicine, Shanxi, China
| | - Lingli Qin
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chunhui Ning
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jin Zhang
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Feng Gao
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
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13
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Wu J, Guo J. Is weight-adjusted waist index more strongly associated with diabetes than body mass index and waist circumference?: Results from the database large community sample study. PLoS One 2024; 19:e0309150. [PMID: 39325793 PMCID: PMC11426486 DOI: 10.1371/journal.pone.0309150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 08/06/2024] [Indexed: 09/28/2024] Open
Abstract
BACKGROUND The uncertainty regarding the correlation between the weight-adjusted waist index (WWI) and diabetes within the National Health and Nutrition Examination Survey (NHANES) necessitates further exploration. As indicators of obesity, the differences in the intensity of association between WWI, body mass index (BMI), and waist circumference (WC) with diabetes are worth exploring. This investigation is undertaken to elucidate the association between WWI and diabetes in the NHANES dataset and to compare the extent to which BMI, WC, and WWI were closely associated with diabetes. Then, choose an obesity index that is more strongly associated with diabetes. METHODS A comprehensive cross-sectional stratified survey of 7,973 participants from the 2017-2020 NHANES was conducted. WWI is an anthropometric measure based on WC and weight. The formula is WWI (cm/√kg) = WC/√weight. The association between WWI and diabetes was investigated using weighted multiple logistic regression, smooth curve fitting, stratified analysis, and interaction testing. RESULTS The participants' average age was 50.84±17.34 years, and 50.68% of them were female. The detection rate of diabetes was 15.11%. This positive association was particularly notable among non-diabetic patients. For each unit increase in BMI and WC as continuous variables, the likelihood of developing diabetes in the fully adjusted model increased by 5% (OR = 1.05; 95%CI, 1.03-1.07) and 3% (OR = 1.03; 95%CI, 1.02-1.04), respectively, but for each one-unit increase in WWI, the likelihood of developing diabetes increased by 111% (OR = 2.11; 95% CI, 1.68-2.65). Tests of interactions revealed that in various subgroups, the association between diabetes and WWI remained steady. CONCLUSIONS We analyzed 2017-2020 NHANES data to explore the link between WWI and diabetes, finding a consistent positive correlation. The correlation between WWI and diabetes was stronger than that between WC and BMI. WWI seems to offer better potential aid in disease prevention and diagnosis.
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Affiliation(s)
- Jiabei Wu
- Shanxi Medical University, Taiyuan, China
| | - Jinli Guo
- The Second Hospital of Shanxi Medical University, Taiyuan, China
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14
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Miao SY, Wu WR, Feng L, Chen Q. Body Mass Index Combined With Inflammatory Factors Can Better Predict Varicocele. Cureus 2024; 16:e70072. [PMID: 39385865 PMCID: PMC11462639 DOI: 10.7759/cureus.70072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/24/2024] [Indexed: 10/12/2024] Open
Abstract
Most patients with VC have no symptoms, so they are often discovered due to male infertility. Early identification of them is a matter of concern for clinicians. A retrospective analysis of clinical data from patients between January 1, 2021, and February 1, 2024, was conducted. Patients were divided into VC and non-VC groups. Propensity score matching (PSM) was performed at a ratio of 1:1, and two cohorts with homogeneous baseline status were selected. Multivariate binary logistic regression and receiver operating characteristic (ROC) curve were used to analyze independent risk factors and protective factors and to evaluate their diagnostic value individually and in combination. A p-value <0.05 was considered statistically significant. A total of 256 patients with similar clinical characteristics were further analyzed after PSM in a 1:1 ratio of the 423 patients included in the study. The two groups had statistically significant differences in systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and body mass index (BMI) (p<0.05). Multivariate binary logistic regression analysis showed that SII and NLR were independent risk factors for VC, while high BMI could reduce the prevalence of VC. The PLR differences were not significant. The ROC analysis showed that BMI, SII, and NLR could predict VC, with areas under the curve of 68.3% (cut-off value 22.32), 83.4% (cut-off value 357.57), and 83.2% (cut-off value 1.8), respectively. The combination of BMI and inflammatory factors was more accurate for predicting VC than BMI alone (87.5% vs. 68.3%, p=0.0001), SII (87.5% vs. 83.4%, p=0.0106), and NLR (87.5% vs 83.2%, p=0.0058). Both SII and NLR are independent risk factors for VC while BMI is an independent protective factor. The BMI, SII, and NLR values have the potential to predict VC. The BMI combined with these inflammatory factors can improve the accuracy of prediction.
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Affiliation(s)
- Si Yan Miao
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, CHN
| | - Wen Rui Wu
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, CHN
| | - Liang Feng
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, CHN
| | - Qiang Chen
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, CHN
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15
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Özbeyaz NB, Algül E. A new parameter in predicting contrast-induced nephropathy: Osaka prognostic score. REVISTA DA ASSOCIACAO MEDICA BRASILEIRA (1992) 2024; 70:e20240423. [PMID: 39166668 PMCID: PMC11329261 DOI: 10.1590/1806-9282.20240423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 04/18/2024] [Indexed: 08/23/2024]
Abstract
OBJECTIVE Nowadays, the frequency of complications is also increasing following the increasing frequency of coronary angiography and percutaneous coronary intervention. Contrast-induced nephropathy is one of the most common of these complications. This study aimed to investigate the relationship between the Osaka prognostic score, which has previously been shown to have prognostic importance in gastrointestinal malignancies, and the development of contrast-induced nephropathy. METHODS The study retrospectively examined the data of 1,498 patients who underwent coronary angiography and percutaneous coronary intervention due to acute coronary syndrome between 2018 and 2023. Demographic characteristics and laboratory findings were retrospectively collected from patients' charts and electronic medical records. RESULTS Osaka prognostic score (0.84±0.25 vs. 2.2±0.32, p<0.001) was higher in patients who developed contrast-induced nephropathy. Also, Osaka prognostic score [OR 2.161 95%CI (1.101-4.241), p<0.001] was found to be an independent risk factor along with age, diabetes mellitus, systolic pulmonary artery pressure, hemoglobin, hemoglobin, C-reactive protein, albumin, N-terminal brain natriuretic peptide, and systemic immune-inflammation index. The receiver operating characteristic curve showed that the optimal cutoff value of Osaka prognostic score to predict the development of contrast-induced nephropathy was 1.5, with a sensitivity of 83.4 and a specificity of 65.9% [area under the curve: 0.874 (95%CI: 0.850-0.897, p≤0.001)]. CONCLUSION Osaka prognostic score may be an easily calculable, user-friendly, and useful parameter to predict the development of contrast-induced nephropathy in patients undergoing percutaneous coronary intervention after acute coronary syndromes.
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Affiliation(s)
- Nail Burak Özbeyaz
- Ankara University, Faculty of Medicine, Department of Cardiology – Ankara, Turkey
| | - Engin Algül
- University of Health Sciences, Etlik City Hospital, Department of Cardiology – Ankara, Turkey
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Aljuraiban GS, Alharbi FJ, Aljohi AO, Almeshari AZ, Alsahli AS, Alotaibi BS, Abudawood M, Alfawaz W, Abulmeaty M. Systemic immune-inflammation index and its relation to blood pressure and dyslipidemia in adults: A retrospective study. Medicine (Baltimore) 2024; 103:e38810. [PMID: 38996174 PMCID: PMC11245260 DOI: 10.1097/md.0000000000038810] [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: 02/21/2024] [Accepted: 06/13/2024] [Indexed: 07/14/2024] Open
Abstract
High blood pressure (BP) and dyslipidemia are major risk factors for cardiovascular disease mortality. The systemic immune-inflammation index (SII) has been suggested as a predictive tool to identify those at risk for chronic diseases, however, its use for predicting high BP and dyslipidemia has not been thoroughly investigated. This study aimed to examine the association between SII and high BP as well as lipid markers. Retrospective hospital data from a large cohort (n = 3895) of Saudi adults aged ≥18 years were analyzed. Lipid markers (cholesterol, high-density lipoprotein, low-density lipoprotein [LDL]), systolic BP, and diastolic BP measures were extracted. When the sample was divided into quartiles of SII, cholesterol, triglycerides, and LDL were higher in those with a higher SII than in those with a lower SII (P < .01). After adjusting for potential confounders, higher SII was significantly associated with higher odds of hypertension (odds ratio: 1.12, 95% confidence interval: 1.04-1.21) and elevated LDL (odds ratio: 1.07, 95% CI: 1.02-1.14), but not with elevated cholesterol. Across quartiles of SII, there was a significant trend between higher SII and the odds of hypertension in people with diabetes and those aged ≥65 years. The SII could be an economical predictive measure for identifying individuals at risk of hypertension and some aspects of dyslipidemia. Longitudinal studies are needed to confirm this relationship.
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Affiliation(s)
- Ghadeer S. Aljuraiban
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Fahad J. Alharbi
- Department of Central Military Laboratory & Blood Bank, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Ali O. Aljohi
- Department of Central Military Laboratory & Blood Bank, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Abdullah Z. Almeshari
- Department of Central Military Laboratory & Blood Bank, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Abdulaziz S. Alsahli
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Bader Saad Alotaibi
- Deputyship of Research Chairs, Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia
| | - Manal Abudawood
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
- Central Research Laboratory, King Saud University, Riyadh, Saudi Arabia
| | - Waad Alfawaz
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Mahmoud Abulmeaty
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
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17
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Popov M, Popov Y, Kosterin D, Lepik O. Inflammatory Hematological Ratios in Adolescents with Mental Disorders: A Scoping Review. CONSORTIUM PSYCHIATRICUM 2024; 5:45-61. [PMID: 39071999 PMCID: PMC11272303 DOI: 10.17816/cp15514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 06/11/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGOUND Inflammatory hematological ratios (IHRs), such as neutrophil to lymphocyte, monocyte to lymphocyte, and platelet to lymphocyte ratios, are associated with mental disorders, symptoms severity, and the disease phase. Evidence from the studies in adult patients has been summarized in systematic reviews and meta-analyses. The results of the studies in adolescents remain poorly systematized. AIM To summarize the findings from the studies that investigated the relationship of IHRs with mental disorders in adolescent patients. METHODS This scoping review included studies of IHRs in patients aged 10-19 years with mental disorders (other than anorexia nervosa), published in English by December 31, 2023. The search for relevant papers was performed in MEDLINE. The studies were categorized into two groups: studies with external controls (healthy adolescents) and studies with internal controls (patients in different phases of mental disorder, with or without self-harm/suicidal behaviors). RESULTS A total of 11 studies were included in the review (all cross-sectional ones). The results of these studies demonstrate that 1) adolescents with mental disorders (major depressive disorder, psychotic disorders, obsessive-compulsive disorder, attention deficit hyperactivity disorder, substance use disorders) have higher IHR values than individuals of the same age without corresponding disorders (5 studies); 2) IHR values are positively correlated with the severity of psychopathological symptoms (1 study); 3) higher IHR values are associated with the phase of the mental disorder - manic episode in bipolar disorder (1 study) and exacerbation of psychosis in psychotic disorders (1 study); and 4) higher IHR values are associated with self-harm/suicidal behaviors - suicide attempts (1 study) and non-suicidal self-injury (1 study). CONCLUSION IHRs are associated with mental disorders in adolescents, and higher IHR values are associated with a more severe/acute clinical presentation (severity of symptoms, mania, acute psychosis, self-harm/suicidal behaviors). Further studies of higher methodological quality are needed to evaluate the diagnostic and prognostic value of IHRs as biomarkers of mental disorders in adolescence.
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18
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Aon M, Aoun AH, Alshami A, Alharbi A, Alshammari F, Alnajjar M, Almutawtah A, Bin Naji B, Alsaeed A, Abdelwahab OA. Association of the systemic immune-inflammation index (SII) and severity of diabetic ketoacidosis in patients with type 1 diabetes mellitus: a retrospective cohort study. Ann Med Surg (Lond) 2024; 86:3865-3872. [PMID: 38989212 PMCID: PMC11230746 DOI: 10.1097/ms9.0000000000002185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 05/08/2024] [Indexed: 07/12/2024] Open
Abstract
Background Diabetic ketoacidosis (DKA) is the most serious metabolic complication of type 1 diabetes mellitus (T1DM). Insulin deficiency and inflammation play a role in the pathogenesis of DKA. The authors aimed to assess the systemic immune-inflammation index (SII) as a marker of severity among T1DM patients with DKA and without infection. Methods The authors included T1DM patients older than or equal to 12 years hospitalized because of DKA. The authors excluded patients with infection or any condition that can change SII parameters or cause metabolic acidosis. The authors compared SII, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) between severe and non-severe DKA groups. The authors also assessed the need for an ICU, length of stay, and 90-day readmission rate between the groups. Results The study included 241 patients with a median age of 17 (14, 24) years, and 44.8% were males. More patients with severe DKA (45%) required ICU admission (P<0.001). Median SII increased with DKA severity, and the difference was significant (P=0.033). No significant difference was observed as regards median NLR or PLR (P=0.380 and 0.852, respectively). SII, but not NLR or PLR, had a significant negative correlation with PH (r=-0.197, P=0.002) and HCO3 level (r=-0.144, P=0.026). Also, being in the highest SII quartile was an independent risk factor for DKA severity (OR, 2.522; 95% CI, 1.063-6.08; P=0.037). The authors estimated an SII cut-off value of 2524.24 to predict DKA severity with high specificity. Conclusion Elevated SII is a risk factor for DKA severity in T1DM. It is better than NLR and PLR in prognosticating DKA patients. These findings highlight the role of inflammation in DKA. SII can help as a valuable and simple tool to assess DKA severity.
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Affiliation(s)
| | - Ahmed H Aoun
- Pediatrics, Faculty of Medicine, Cairo University, Giza
- Primary Health Care Corporation, Doha, Qatar
| | - Ahmad Alshami
- Department of Internal Medicine, Jahra Hospital, Jahra, Kuwait
| | | | | | | | | | - Bader Bin Naji
- Department of Internal Medicine, Jahra Hospital, Jahra, Kuwait
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Yan Y, Lu H, Zheng Y, Lin S. Association Between Systemic Immune Inflammation Index and Diabetes Mellitus in the NHANES 2003-2018 Population. J Endocr Soc 2024; 8:bvae124. [PMID: 38974989 PMCID: PMC11226779 DOI: 10.1210/jendso/bvae124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Indexed: 07/09/2024] Open
Abstract
Objects This study aimed to explore the association between the Systemic Immune-Inflammation Index (SII) and diabetes mellitus (DM) and to assess its influence on the prognosis of the DM and no-DM groups. Methods The study used data from the National Health and Nutrition Examination Survey; 9643 participants were included. Logistic regression analysis was employed to evaluate connections between SII and DM. We used the Cox proportional hazards model, restricted cubic spline, and Kaplan-Meier curve to analyze the relationship between SII and mortality. Results The logistic regression analysis indicated that a significant increase in the likelihood of developing DM with higher SII levels (odds ratio, 1.31; 95% CI, 1.09-1.57, P = .003). The Cox model showed that there is a positive association between increased SII and higher all-cause mortality. The hazard ratios for SII were 1.53 (1.31, 1.78), 1.61 (1.31, 1.98), and 1.41 (1.12, 1.78) in the total, DM and non-DM groups, respectively. We observed a linear correlation between SII and all-cause mortality in DM participants, whereas non-DM participants and the total population showed a nonlinear correlation. Conclusion Elevated SII levels are linked to an augmented risk of DM. Those with DM and higher SII levels demonstrated an elevated risk of mortality.
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Affiliation(s)
- Yufeng Yan
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210008, Jiangsu, China
| | - Hongjing Lu
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210008, Jiangsu, China
| | - Yaguo Zheng
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210008, Jiangsu, China
| | - Song Lin
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210008, Jiangsu, China
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Zhang J, Yang Z, Zhao Z, Zhang N. Structural and pharmacological insights into cordycepin for neoplasms and metabolic disorders. Front Pharmacol 2024; 15:1367820. [PMID: 38953102 PMCID: PMC11215060 DOI: 10.3389/fphar.2024.1367820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 05/31/2024] [Indexed: 07/03/2024] Open
Abstract
Cytotoxic adenosine analogues were among the earliest chemotherapeutic agents utilised in cancer treatment. Cordycepin, a natural derivative of adenosine discovered in the fungus Ophiocordyceps sinensis, directly inhibits tumours not only by impeding biosynthesis, inducing apoptosis or autophagy, regulating the cell cycle, and curtailing tumour invasion and metastasis but also modulates the immune response within the tumour microenvironment. Furthermore, extensive research highlights cordycepin's significant therapeutic potential in alleviating hyperlipidaemia and regulating glucose metabolism. This review comprehensively analyses the structure-activity relationship of cordycepin and its analogues, outlines its pharmacokinetic properties, and strategies to enhance its bioavailability. Delving into the molecular biology, it explores the pharmacological mechanisms of cordycepin in tumour suppression and metabolic disorder treatment, thereby underscoring its immense potential in drug development within these domains and laying the groundwork for innovative treatment strategies.
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Affiliation(s)
- Jinming Zhang
- Department of Gastroenterology, First Hospital of Jilin University, Jilin University, Changchun, China
| | - Ziling Yang
- Second Hospital of Jilin University, Jilin University, Changchun, China
| | - Zhuo Zhao
- Department of Gastroenterology, First Hospital of Jilin University, Jilin University, Changchun, China
| | - Nan Zhang
- Department of Gastroenterology, First Hospital of Jilin University, Jilin University, Changchun, China
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21
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Guo H, Wan C, Zhu J, Jiang X, Li S. Association of systemic immune-inflammation index with insulin resistance and prediabetes: a cross-sectional study. Front Endocrinol (Lausanne) 2024; 15:1377792. [PMID: 38904046 PMCID: PMC11188308 DOI: 10.3389/fendo.2024.1377792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 05/20/2024] [Indexed: 06/22/2024] Open
Abstract
Background and Objective Previous research suggested a relationship between the Systemic Immune-Inflammation Index (SII) and multiple adverse health conditions. However, the role of SII in prediabetes and insulin resistance (IR) remains poorly understood. Therefore, this study aims to explore the potential relationship between SII and prediabetes and IR, providing data support for effective diabetes prevention by reducing systemic inflammation. Methods Linear regression models were used to assess the correlation between continuous SII and risk markers for type 2 diabetes (T2D). Subsequently, multivariate logistic regression models and subgroup analyses were employed to evaluate the association between SII tertiles and prediabetes and IR, controlling for various confounding factors. Finally, restricted cubic spline graphs were used to analyze the nonlinear relationship between SII and IR and prediabetes. Results After controlling for multiple potential confounders, SII was positively correlated with fasting blood glucose (FBG) (β: 0.100; 95% CI: 0.040 to 0.160), fasting serum insulin (FSI) (β: 1.042; 95% CI: 0.200 to 1.885), and homeostasis model assessment of insulin resistance (HOMA-IR) (β: 0.273; 95% CI: 0.022 to 0.523). Compared to participants with lower SII, those in the highest tertile had increased odds of prediabetes (OR: 1.17; 95% CI: 1.02-1.34; p for trend < 0.05) and IR (OR: 1.35; 95% CI: 1.18 to 1.51; p for trend<0.001). Conclusions Our study results demonstrate an elevated association between SII levels and both IR and prediabetes, indicating SII as a straightforward and cost-effective method identifying individuals with IR and prediabetes.
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Affiliation(s)
- Han Guo
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Chuan Wan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jingjing Zhu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiuxing Jiang
- Frontier Medical Training Brigade, Third Military Medical University (Army Medical University), Xinjiang, China
| | - Shufa Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
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Alhalwani AY, Jambi S, Borai A, Khan MA, Almarzouki H, Elsayid M, Aseri AF, Taher NO, Alghamdi A, Alshehri A. Assessment of the systemic immune-inflammation index in type 2 diabetic patients with and without dry eye disease: A case-control study. Health Sci Rep 2024; 7:e1954. [PMID: 38698793 PMCID: PMC11063262 DOI: 10.1002/hsr2.1954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 02/12/2024] [Accepted: 02/19/2024] [Indexed: 05/05/2024] Open
Abstract
Background The inflammation plays a role in the pathophysiology of type-2 diabetes progression, and the mechanism remains unclear. The systemic immune-inflammation index (SII) is a novel inflammatory marker for type 2 diabetes patients and integrates multiple indicators in complete blood counts and routine blood tests. Aim Since there is no international diagnostic standard for dry eye disease (DED), this study uses low-cost inflammatory blood biomarkers to investigate the correlation between SII and DM2-DED and determine the diagnosis indices of other biomarkers in DM2-DED. Methodology A case-control retrospective analysis of totel patients n = 293 randomly selected and categorized into four groups: DED, DM2, DM2-DED, and healthy subjects. Demographic and blood biomarker variables were classified as categorical and continuous variables. The platelet-to-lymphocyte ratio (PLR), lymphocytes-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio (NLR), and SII were calculated platelet count multiply by NLR and analyzed for their correlation for all groups. Results Focusing on DM2-DED patients was more common in females, 59.6%, than in males, 40.2%. The mean ages were 60.7 ± 11.85 years, a statistically significant difference with all groups. In the study group DM2-DED, there was an increase in all blood markers compared to all remaining groups except PLR. Only neutrophil, hemoglobin A1c (HbA1c), and fasting blood sugar levels were statistically significant differences in DM2-DED patients (p > 0.001, p < 0.001, and p < 0.001, respectively) compared to all groups. There was a positive correlation between HbA1c and PLR, HbA1c and NLR, and HbA1c and SII (r = 0.037, p = 0.705; r = 0.031, p = 0.754; and r = 0.066, p < 0.501, respectively) in the DM2-DED group. Conclusion This study demonstrated that elevated SII values were linked to elevated HbA1c in DM2-DED patients. The potential of SII and HbA1c as early diagnostic indicators for ocular problems associated with diabetes mellitus is highlighted by their favorable connection in diagnosing DM2-DED.
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Affiliation(s)
- Amani Y. Alhalwani
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
| | - Shatha Jambi
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
| | - Anwar Borai
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
- King Abdulaziz Medical CityJeddahSaudi Arabia
| | - Muhammad Anwar Khan
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
| | - Hashem Almarzouki
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
- King Abdulaziz Medical CityJeddahSaudi Arabia
| | - Mohieldin Elsayid
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
- Department of Biomedical ResearchKing Abdullah International Medical Research CenterJeddahSaudi Arabia
| | | | - Nada O. Taher
- College of Science and Health ProfessionsKing Saud bin Abdulaziz University for Health SciencesJeddahSaudi Arabia
| | - Ali Alghamdi
- Faculty of MedicineKing Abdulaziz UniversityJeddahSaudi Arabia
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Zhang J, Fan X, Xu Y, Wang K, Xu T, Han T, Hu C, Li R, Lin X, Jin L. Association between inflammatory biomarkers and mortality in individuals with type 2 diabetes: NHANES 2005-2018. Diabetes Res Clin Pract 2024; 209:111575. [PMID: 38346591 DOI: 10.1016/j.diabres.2024.111575] [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: 11/26/2023] [Revised: 01/25/2024] [Accepted: 02/06/2024] [Indexed: 02/15/2024]
Abstract
PURPOSE This study aimed to examine independent association between inflammatory biomarkers and all-cause mortality as well as cardio-cerebrovascular disease (CCD) mortality among U.S. adults with diabetes. METHODS A cohort of 6412 U.S. adults aged 20 or older was followed from the start until December 31, 2019. Statistical models such as Cox proportional hazards model (Cox) and Kaplan-Meier (K-M) survival curves were employed to investigate the associations between the inflammatory biomarkers and all-cause mortality and CCD mortality. RESULTS After adjusting for confounding factors, the highest quartile of inflammatory biomarkers (NLR HR = 1.99; 95 % CI:1.54-2.57, MLR HR = 1.93; 95 % CI:1.46-2.54, SII HR = 1.49; 95 % CI:1.18-1.87, SIRI HR = 2.32; 95 % CI:1.81-2.96, nLPR HR = 2.05; 95 % CI:1.61-2.60, dNLR HR = 1.94; 95 % CI:1.51-2.49, AISI HR = 1.73; 95 % CI:1.4 1-2.12)) were positively associated with all-cause mortality compared to those in the lowest quartile. K-M survival curves indicated that participants with an inflammatory biomarker above a certain threshold had a higher risk of both all-cause mortality and CCD mortality (Log rank P < 0.05). CONCLUSION Some biomarkers such as NLR, MLR, SII, AISI, SIRI, and dNLR, are significantly associated with all-cause mortality and CCD mortality among U.S. adults with diabetes. The risk of both outcomes increased when the biomarkers surpassed a specific threshold.
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Affiliation(s)
- Jiaqi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Xiaoting Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Yan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Kaiyuan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Tong Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Tianyang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Chengxiang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Runhong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Xinli Lin
- Department of Child and Adolescent Health, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
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Wu Q, Zhang W, Lu Y, Li H, Yang Y, Geng F, Liu J, Lin L, Pan Y, Li C. Association between periodontitis and inflammatory comorbidities: The common role of innate immune cells, underlying mechanisms and therapeutic targets. Int Immunopharmacol 2024; 128:111558. [PMID: 38266446 DOI: 10.1016/j.intimp.2024.111558] [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: 10/21/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 01/26/2024]
Abstract
Periodontitis, which is related to various systemic diseases, is a chronic inflammatory disease caused by periodontal dysbiosis of the microbiota. Multiple factors can influence the interaction of periodontitis and associated inflammatory disorders, among which host immunity is an important contributor to this interaction. Innate immunity can be activated aberrantly because of the systemic inflammation induced by periodontitis. This aberrant activation not only exacerbates periodontal tissue damage but also impairs systemic health, triggering or aggravating inflammatory comorbidities. Therefore, innate immunity is a potential therapeutic target for periodontitis and associated inflammatory comorbidities. This review delineates analogous aberrations of innate immune cells in periodontitis and comorbid conditions such as atherosclerosis, diabetes, obesity, and rheumatoid arthritis. The mechanisms behind these changes in innate immune cells are discussed, including trained immunity and clonal hematopoiesis of indeterminate potential (CHIP), which can mediate the abnormal activation and myeloid-biased differentiation of hematopoietic stem and progenitor cells. Besides, the expansion of myeloid-derived suppressor cells (MDSCs), which have immunosuppressive and osteolytic effects on peripheral tissues, also contributes to the interaction between periodontitis and its inflammatory comorbidities. The potential treatment targets for relieving the risk of both periodontitis and systemic conditions are also elucidated, such as the modulation of innate immunity cells and mediators, the regulation of trained immunity and CHIP, as well as the inhibition of MDSCs' expansion.
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Affiliation(s)
- Qibing Wu
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Weijia Zhang
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China
| | - Yaqiong Lu
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Hongxia Li
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Yaru Yang
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China
| | - Fengxue Geng
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Jinwen Liu
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China
| | - Li Lin
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China
| | - Yaping Pan
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China
| | - Chen Li
- Department of Periodontology, School and Hospital of Stomatology, China Medical University, Shenyang, China; Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, China.
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Meng C, Liu K. Nonlinear association of the systemic immune-inflammatory index with mortality in diabetic patients. Front Endocrinol (Lausanne) 2024; 15:1334811. [PMID: 38414824 PMCID: PMC10898589 DOI: 10.3389/fendo.2024.1334811] [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: 11/07/2023] [Accepted: 01/18/2024] [Indexed: 02/29/2024] Open
Abstract
Background It has been demonstrated that in diabetic patients, an elevated neutrophil-lymphocyte ratio (NLR) is independently connected with higher cardiovascular and all-cause mortality. It is unclear, however, if the systemic immune-inflammatory index (SII) and the mortality rate among diabetic patients are related. Investigating the linkage between SII and diabetes patients' risk of cardiovascular and all-cause death was the aim of the study. Methods 4972 diabetics who were chosen from six rounds of the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2016 were the study's participants. The optimal SII threshold with the highest correlation with survival outcomes was identified by applying the Maximum Selection Ranking Statistical Method (MSRSM). To assess the relationship between SII and cardiovascular and all-cause mortality in diabetics, subgroup analysis and Cox regression modeling were employed. Furthermore, smoothed curve fitting was utilized to determine the nonlinear relationship of them. Results Over the course of a median follow-up of 69 months (interquartile range [IQR], 54-123 months), 1,172 (23.6%) of the 4,972 diabetic patients passed away. These deaths included 332 (6.7%) cardiovascular deaths and 840 (16.9%) non-cardiovascular deaths. Individuals were categorized into higher (>983.5714) and lower (≤983.5714) SII groups according to MSRSM. In multi-variable adjusted models, subjects with higher SII had a significantly increased chance of dying from cardiovascular disease (HR 2.05; 95% confidence interval (CI):1.42,2.97) and from all causes (HR 1.60; 95% CI:1.22,1.99). Kplan-Meier curves showed similar results. Subgroup studies based on age, sex, BMI, drinking, smoking, and hypertension revealed that the connection maintained intact. The previously stated variables and SII did not significantly interact (p interaction > 0.05). In diabetic patients, smooth curve fitting revealed a nonlinear correlation between SII and mortality. Conclusion In diabetic patients, elevated SII is linked to higher cardiovascular and all-cause mortality.
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Affiliation(s)
| | - Kai Liu
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
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