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Huttelmaier MT, Gabel A, Herting J, Vogel M, Störk S, Frantz S, Morbach C, Fischer TH. Non-invasive prediction of atrial cardiomyopathy characterized by multipolar high-density contact mapping. J Interv Card Electrophysiol 2025:10.1007/s10840-025-02001-2. [PMID: 39899140 DOI: 10.1007/s10840-025-02001-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Accepted: 01/16/2025] [Indexed: 02/04/2025]
Abstract
INTRODUCTION Atrial cardiomyopathy (AC) establishes links between atrial fibrillation (AF), left atrial (LA) mechanical dysfunction, structural remodeling, and thromboembolic events. Early diagnosis of AC may impact AF treatment and stroke risk prevention. Modern endocardial contact-mapping provides high-resolution electro-anatomical (EA) maps of the LA, thus allowing to display the myocardial substrate based on impaired signal amplitude and to characterize AC. Correlation of invasively assessed AC using a novel, multipolar mapping catheter (OCTARAY™, Biosense Webster, limited market release) and LA echocardiographic parameters could form the basis for a set of echo parameters for non-invasive prediction of AC. METHODS We retrospectively identified 50 adult patients who underwent primary pulmonary vein isolation (PVI) for paroxysmal or persistent AF between 08/22 and 05/23 fulfilling the selection criteria: (i) EA mapping with a novel multipolar mapping catheter (Octaray®); (ii) acquisition of voltage maps in sinus rhythm (SR) with ≥ 5000 points/map; and (iii) transthoracic echocardiography acquired in SR ≤ 48 h before PVI. Exclusion criterion was previous LA ablation. We generated EA maps with two sets of upper voltage thresholds (0.2-0.5 mV and 0.2-1.0 mV) and assessed total LA low voltage area (LVA). As LVA thresholds for the classification of AC are not yet established, an unsupervised machine learning cluster analysis was performed using a Gaussian mixture model (GMM), and two groups of patients with mild and severe AC were identified. Based on these two groups, we selected echo parameters for further analysis by applying the Boruta algorithm. The predictive capacity of the selected parameters was evaluated using a support vector machine. RESULTS The mean age of the studied sample (n = 50) was 63 ± 11 years, 62% were men, 64% showed persistent AF, median CHA2DS2-VASc score was 2 (quartiles 1, 3), and NT-proBNP was 190 (71, 391) pg/ml. A median of 5771 (5217, 6988) points/map were acquired. GMM yielded clusters of mild AC (n = 28) and severe AC (n = 22). Median LVA was 0.6 cm2 (< 0.5 mV) resp. 4.1 cm2 (< 1.0 mV) in group mild AC and 6.9 cm2 (< 0.5 mV) resp. 27.2 cm2 (< 1.0 mV) in group severe AC. Several echocardiographic parameters differed between the groups of mild and severe AC: dynamic LA parameters (end diastolic LA reservoir strain: 24.5% (22, 29) vs 15% (12, 19), p < 0.001; LA reservoir strain at atrial contraction: 22% (19, 25) vs 15% (11, 18), p < 0.001, end diastolic LA contraction strain: 13% (8, 15) vs 7.5% (3, 13), p < 0.01) as well as LA end-systolic volume index to a´ ratio (LAVI/a': 297 (231,365) vs 510 (326,781), p < 0.01). Consistent distribution of NT-proBNP (mild AC: 125 (48,189) pg/ml, severe AC: 408 (254,557) pg/ml, p < 0.0001) and CHA2DS2-VASc score (mild AC: 1 (1-2), severe AC: 3 (3-4), p < 0.0001) served as proof of concept. Applying the selected echocardiographic parameters, the machine learning algorithm correctly identified both subgroups with a mean AUC of 0.9 (95% CI 0.83-0.99). At 12 months, AF recurrence rate was 10.7% in mild AC and 40.9% in severe AC (p < 0.05). CONCLUSION Among patients qualifying for PVI, machine learning analysis of high-resolution LA maps allowed to identify subgroups with mild and severe AC avoiding the use of arbitrary LVA thresholds. The subgroups were predicted non-invasively with good accuracy using a machine learning approach that incorporated a set of echocardiographic markers. This data could advance the clinical triage of patients with AF.
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Affiliation(s)
- Moritz T Huttelmaier
- Dept. of Internal Medicine I, University Hospital Würzburg (UKW), University of Wuerzburg-University Clinic, Oberdürrbacherstr. 6, 97080, Würzburg, Germany
| | - Alexander Gabel
- Institute of Medical Virology, Goethe-University Frankfurt, 60596, Frankfurt am Main, Germany
- Infection Control and Antimicrobial Stewardship Unit, UKW, Würzburg, Germany
| | - Jonas Herting
- Dept. of Internal Medicine I, University Hospital Würzburg (UKW), University of Wuerzburg-University Clinic, Oberdürrbacherstr. 6, 97080, Würzburg, Germany
| | - Manuel Vogel
- Dept. of Internal Medicine I, University Hospital Würzburg (UKW), University of Wuerzburg-University Clinic, Oberdürrbacherstr. 6, 97080, Würzburg, Germany
| | - Stefan Störk
- Dept. of Internal Medicine I, University Hospital Würzburg (UKW), University of Wuerzburg-University Clinic, Oberdürrbacherstr. 6, 97080, Würzburg, Germany
- Dept. Clinical Research & Epidemiology, Comprehensive Heart Failure Centre Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Stefan Frantz
- Dept. of Internal Medicine I, University Hospital Würzburg (UKW), University of Wuerzburg-University Clinic, Oberdürrbacherstr. 6, 97080, Würzburg, Germany
- Dept. Clinical Research & Epidemiology, Comprehensive Heart Failure Centre Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Caroline Morbach
- Dept. of Internal Medicine I, University Hospital Würzburg (UKW), University of Wuerzburg-University Clinic, Oberdürrbacherstr. 6, 97080, Würzburg, Germany
- Dept. Clinical Research & Epidemiology, Comprehensive Heart Failure Centre Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Thomas H Fischer
- Dept. of Internal Medicine I, University Hospital Würzburg (UKW), University of Wuerzburg-University Clinic, Oberdürrbacherstr. 6, 97080, Würzburg, Germany.
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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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Kalman JM, Kistler PM, Hindricks G, Sanders P. Atrial fibrillation ablation timing: where is the sweet spot? Eur Heart J 2025:ehae892. [PMID: 39749989 DOI: 10.1093/eurheartj/ehae892] [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: 08/05/2024] [Revised: 10/13/2024] [Accepted: 12/10/2024] [Indexed: 01/04/2025] Open
Abstract
Convincing evidence for the efficacy of ablation as first-line therapy in paroxysmal AF (PAF) and its clear superiority to medical therapy for rhythm control in both PAF and persistent AF (PsAF) has generated considerable interest in the optimal timing of ablation. Based on this data, there is a widespread view that the principle of 'the earlier the better' should be generally applied. However, the natural history of AF is highly variable and non-linear, and for this reason, it is difficult to be emphatic that all patients are best served by ablation early after their initial AF episodes. Sufficient evidence exists to indicate a conservative approach is reasonable in patients with infrequent and non-progressive episodes (i.e. absence of progressive increase in burden culminating in PsAF) in whom symptoms remain mild and well-controlled. A conservative management phase should be marked by assiduous attention to risk factor modification, changes in frequency and duration of AF episodes, and patient preferences. If and when AF does begin to progress, accumulating evidence indicates that early ablation accompanied by ongoing attention to risk factors provides the best outcomes.
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Affiliation(s)
- Jonathan M Kalman
- Department of Cardiology, Royal Melbourne Hospital, Grattan St., Parkville, Melbourne 3050, Australia
- Department of Medicine, University of Melbourne, Parkville, Melbourne 3052, Australia
- Baker IDI Heart and Diabetes Institute, 99 Commercial Rd., Melbourne 3004, Australia
| | - Peter M Kistler
- Department of Medicine, University of Melbourne, Parkville, Melbourne 3052, Australia
- Baker IDI Heart and Diabetes Institute, 99 Commercial Rd., Melbourne 3004, Australia
- Heart Centre, Alfred Hospital, 55 Commercial Rd., Melbourne 3004, Australia
| | - Gerhard Hindricks
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Campus Charité Mitte, Charitéplatz 1, Berlin 10117, Germany
- Department of Electrophysiology, Heart Center Leipzig, Strumpellstr. 39, 04289 Leipzig, Germany
| | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Port Rd., Adelaide 5000, Australia
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Vatsaraj I, Mohsen Y, Grüne L, Steffens L, Loeffler S, Horlitz M, Stöckigt F, Trayanova N. 12 lead surface ECGs as a surrogate of atrial electrical remodeling - a deep learning based approach. J Electrocardiol 2024; 89:153862. [PMID: 39742814 DOI: 10.1016/j.jelectrocard.2024.153862] [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: 05/16/2024] [Revised: 11/02/2024] [Accepted: 12/13/2024] [Indexed: 01/04/2025]
Abstract
BACKGROUND AND PURPOSE Atrial fibrillation (AF), a common arrhythmia, is linked with atrial electrical and structural changes, notably low voltage areas (LVAs) which are associated with poor ablation outcomes and increased thromboembolic risk. This study aims to evaluate the efficacy of a deep learning model applied to 12‑lead ECGs for non-invasively predicting the presence of LVAs, potentially guiding pre-ablation strategies and improving patient outcomes. METHODS A retrospective analysis was conducted on 204 AF patients, who underwent catheter ablation. Pre-procedural sinus rhythm ECGs and electroanatomical maps (EAM) were utilized alongside demographic data to train a deep learning model combining Long Short-Term Memory networks and Convolutional Neural Networks with a cross-attention layer. Model performance was evaluated using a 5-fold cross-validation strategy. RESULTS The model effectively identified the presence of LVA on the examined atrial walls, achieving accuracies of 78 % for both the anterior and posterior walls, and 82 % for the LA roof. Moreover, it accurately predicted the global left atrial (LA) average voltage <0.7 mV, with an accuracy of 88 %. CONCLUSION The study showcases the potential of deep learning applied to 12‑lead ECGs to effectively predict regional LVAs and global LA voltage in AF patients non-invasively. This model offers a promising tool for the pre-ablation assessment of atrial substrate, facilitating personalized therapeutic strategies and potentially enhancing ablation success rates.
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Affiliation(s)
- Ishan Vatsaraj
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.
| | - Yazan Mohsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA; Department of Cardiology, Faculty of Health, School of Medicine, University Witten/Herdecke, Witten, Germany; Krankenhaus Porz am Rhein, Department of Cardiology, Electrophysiology and Rhythmology, Cologne, Germany
| | - Lukas Grüne
- Krankenhaus Porz am Rhein, Department of Cardiology, Electrophysiology and Rhythmology, Cologne, Germany
| | - Lucas Steffens
- Krankenhaus Porz am Rhein, Department of Cardiology, Electrophysiology and Rhythmology, Cologne, Germany
| | - Shane Loeffler
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA
| | - Marc Horlitz
- Department of Cardiology, Faculty of Health, School of Medicine, University Witten/Herdecke, Witten, Germany; Krankenhaus Porz am Rhein, Department of Cardiology, Electrophysiology and Rhythmology, Cologne, Germany
| | - Florian Stöckigt
- Krankenhaus Porz am Rhein, Department of Cardiology, Electrophysiology and Rhythmology, Cologne, Germany; Department of Cardiology, University Hospital Bonn, Bonn, Germany
| | - Natalia Trayanova
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA
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Tao Y, Zhang D, Tan C, Wang Y, Shi L, Chi H, Geng S, Ma Z, Hong S, Liu XP. An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation. J Cardiovasc Electrophysiol 2024; 35:1849-1858. [PMID: 39054663 DOI: 10.1111/jce.16373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 06/19/2024] [Accepted: 07/07/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVES We aimed to construct an artificial intelligence-enabled electrocardiogram (ECG) algorithm that can accurately predict the presence of left atrial low-voltage areas (LVAs) in patients with persistent atrial fibrillation. METHODS The study included 587 patients with persistent atrial fibrillation who underwent catheter ablation procedures between March 2012 and December 2023 and 942 scanned images of 12-lead ECGs obtained before the ablation procedures were performed. Artificial intelligence-based algorithms were used to construct models for predicting the presence of LVAs. The DR-FLASH and APPLE clinical scores for LVA prediction were calculated. We used a receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis to evaluate model performance. RESULTS The data obtained from the participants were split into training (n = 469), validation (n = 58), and test sets (n = 60). LVAs were detected in 53.7% of all participants. Using ECG alone, the deep learning algorithm achieved an area under the ROC curve (AUROC) of 0.752, outperforming both the DR-FLASH score (AUROC = 0.610) and the APPLE score (AUROC = 0.510). The random forest classification model, which integrated a probabilistic deep learning model and clinical features, showed a maximum AUROC of 0.759. Moreover, the ECG-based deep learning algorithm for predicting extensive LVAs achieved an AUROC of 0.775, with a sensitivity of 0.816 and a specificity of 0.896. The random forest classification model for predicting extensive LVAs achieved an AUROC of 0.897, with a sensitivity of 0.862, and a specificity of 0.935. CONCLUSION The deep learning model based exclusively on ECG data and the machine learning model that combined a probabilistic deep learning model and clinical features both predicted the presence of LVAs with a higher degree of accuracy than the DR-FLASH and the APPLE risk scores.
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Affiliation(s)
- Yirao Tao
- Department of Cardiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Deyun Zhang
- HeartVoice Medical Technology, Hefei, China
- HeartRhythm-HeartVoice Joint Laboratory, Beijing, China
| | - Chen Tan
- Department of Cardiology, Hebei Yanda Hospital, Hebei, Hebei Province, China
| | - Yanjiang Wang
- Department of Cardiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Liang Shi
- Department of Cardiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Hongjie Chi
- Department of Cardiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Shijia Geng
- HeartVoice Medical Technology, Hefei, China
- HeartRhythm-HeartVoice Joint Laboratory, Beijing, China
| | - Zhimin Ma
- Department of Cardiology, Heart Rhythm Cardiovascular Hospital, Shandong, China
| | - Shenda Hong
- National Institute of Health Data Science, Peking University, Beijing, China
- Health Science Center of Peking University, Institute of Medical Technology, Beijing, China
| | - Xing Peng Liu
- Department of Cardiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
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Matsunaga-Lee Y, Inoue K, Tanaka N, Masuda M, Watanabe T, Makino N, Egami Y, Oka T, Minamiguchi H, Miyoshi M, Okada M, Kanda T, Matsuda Y, Kawasaki M, Kawanami S, Ukita K, Kawamura A, Yasumoto K, Tsuda M, Okamoto N, Yano M, Nishino M, Sunaga A, Sotomi Y, Dohi T, Nakatani D, Hikoso S, Sakata Y. Duration of atrial fibrillation persistence: Implications for recurrence risk after catheter ablation and efficacy of additional substrate ablation. Heart Rhythm 2024; 21:733-740. [PMID: 38307310 DOI: 10.1016/j.hrthm.2024.01.053] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 02/04/2024]
Abstract
BACKGROUND The optimal duration of atrial fibrillation (AF) persistence for predicting poor outcomes after catheter ablation of long-standing AF (LsAF) and the best ablation strategy for these patients remain unclear. OBJECTIVE We aimed to assess the impact of the duration of AF persistence on outcomes after catheter ablation of AF. METHODS We analyzed the Efficacy of Pulmonary Vein Isolation Alone in Patients with Persistent Atrial Fibrillation (EARNEST-PVI) trial data comparing pulmonary vein isolation (PVI) alone (PVI-alone) with additional linear ablation or defragmentation (PVI-plus) in persistent AF (PerAF). Patients who received catheter ablation by contact force-sensing catheter were enrolled in the study. In patients with LsAF, the optimal cutoff duration of AF persistence was evaluated. With use of the threshold, patients with LsAF were divided into 2 groups and compared with PerAF <1 year for arrhythmia-free survival after a 3-month blanking period. RESULTS The optimal cutoff duration was 2.4 years. Of 458 patients, arrhythmia-free survival rates for LsAF 1-2.4 years were comparable to those of PerAF (hazard ratio [HR], 1.01; 95% CI, 0.67-1.52). However, LsAF >2.4 years had a higher recurrence risk than PerAF (HR, 2.22; 95% CI, 1.42-3.47). In LsAF >2.4 years, the PVI-plus strategy showed advantages over the PVI-alone strategy (HR, 0.36; 95% CI, 0.14-0.89). However, the interaction effect between LsAF 1-2.4 years and LsAF >2.4 years did not reach statistical significance (P = .116). CONCLUSION Whereas LsAF 1-2.4 years has similar outcomes to those of PerAF, LsAF >2.4 years was linked to higher arrhythmia recurrence risks. For LsAF >2.4 years, the PVI-plus strategy showed a potential to be superior to the PVI-alone strategy.
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Affiliation(s)
| | - Koichi Inoue
- National Hospital Organization Osaka National Hospital, Osaka, Japan
| | | | | | | | | | - Yasuyuki Egami
- Division of Cardiology, Osaka Rosai Hospital, Sakai, Japan
| | - Takafumi Oka
- Osaka University Graduate School of Medicine, Suita, Japan
| | | | - Miwa Miyoshi
- Osaka Hospital, Japan Community Healthcare Organization, Osaka, Japan
| | | | | | | | | | | | - Kohei Ukita
- Division of Cardiology, Osaka Rosai Hospital, Sakai, Japan
| | - Akito Kawamura
- Division of Cardiology, Osaka Rosai Hospital, Sakai, Japan
| | - Koji Yasumoto
- Division of Cardiology, Osaka Rosai Hospital, Sakai, Japan
| | - Masaki Tsuda
- Division of Cardiology, Osaka Rosai Hospital, Sakai, Japan
| | | | - Masamichi Yano
- Division of Cardiology, Osaka Rosai Hospital, Sakai, Japan
| | - Masami Nishino
- Division of Cardiology, Osaka Rosai Hospital, Sakai, Japan.
| | - Akihiro Sunaga
- Osaka University Graduate School of Medicine, Suita, Japan
| | - Yohei Sotomi
- Osaka University Graduate School of Medicine, Suita, Japan
| | - Tomoharu Dohi
- Osaka University Graduate School of Medicine, Suita, Japan
| | | | - Shungo Hikoso
- Osaka University Graduate School of Medicine, Suita, Japan
| | - Yasushi Sakata
- Osaka University Graduate School of Medicine, Suita, Japan
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Löbe S, Stellmach P, Darma A, Hilbert S, Paetsch I, Jahnke C, Bollmann A, Hindricks G, Kircher S. Left atrial total emptying fraction measured by cardiovascular magnetic resonance imaging predicts low-voltage areas detected during electroanatomical mapping. Europace 2023; 25:euad307. [PMID: 37960936 PMCID: PMC10643989 DOI: 10.1093/europace/euad307] [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: 06/07/2023] [Accepted: 10/09/2023] [Indexed: 11/15/2023] Open
Abstract
AIMS Low-voltage areas (LVAs) found during left atrial (LA) electroanatomical mapping are increasingly targeted by radiofrequency catheter ablation (RFCA) on top of pulmonary vein isolation to improve arrhythmia-free survival in patients with atrial fibrillation (AF). However, pre-procedural prediction of LVAs remains challenging. The purpose of the present study was to describe the association between parameters of LA function and dimensions, respectively, derived from pre-procedural cardiovascular magnetic resonance (CMR) imaging, and the presence of LVAs on LA voltage mapping. METHODS AND RESULTS Patients who underwent first-time RFCA for paroxysmal or persistent AF and who were in stable sinus rhythm during pre-procedural CMR imaging were included in this study. Cardiovascular magnetic resonance-derived parameters of LA function and dimensions were calculated. Low-voltage areas were defined as areas with bipolar voltage amplitudes of ≤0.5 mV on electroanatomical mapping. In total, 259 consecutive patients were included in this analysis. Low-voltage areas were found in 25 of 259 patients (9.7%). Compared with those without LVAs, patients with LVAs were significantly older, were more likely to be female, had a higher CHA2DS2-VASc score, had larger LA volumes, and had a lower LA total emptying fraction (TEF). In multivariate analysis, only LA TEF [odds ratio (OR) 0.885, 95% confidence interval (CI) 0.846-0.926, P < 0.001] and the CHA2DS2-VASc score (OR 1.507, 95% CI 1.115-2.038, P = 0.008) remained independently associated with the presence of LVAs. CONCLUSION Left atrial TEF and the CHA2DS2-VASc score were independently associated with the presence of LVAs found during LA electroanatomical mapping. These findings may help to improve pre-procedural prediction of pro-arrhythmogenic LVAs and to improve peri-procedural patient management.
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Affiliation(s)
- Susanne Löbe
- Department of Electrophysiology, HELIOS Heart Center Leipzig—University of Leipzig, Struempellstr. 39, Leipzig 04289, Germany
| | - Pierre Stellmach
- Department of Electrophysiology, HELIOS Heart Center Leipzig—University of Leipzig, Struempellstr. 39, Leipzig 04289, Germany
| | - Angeliki Darma
- Department of Electrophysiology, HELIOS Heart Center Leipzig—University of Leipzig, Struempellstr. 39, Leipzig 04289, Germany
| | - Sebastian Hilbert
- Department of Electrophysiology, HELIOS Heart Center Leipzig—University of Leipzig, Struempellstr. 39, Leipzig 04289, Germany
| | - Ingo Paetsch
- Department of Electrophysiology, HELIOS Heart Center Leipzig—University of Leipzig, Struempellstr. 39, Leipzig 04289, Germany
| | - Cosima Jahnke
- Department of Electrophysiology, HELIOS Heart Center Leipzig—University of Leipzig, Struempellstr. 39, Leipzig 04289, Germany
| | - Andreas Bollmann
- Department of Electrophysiology, HELIOS Heart Center Leipzig—University of Leipzig, Struempellstr. 39, Leipzig 04289, Germany
- Helios Health Institute, Leipzig, Germany
| | - Gerhard Hindricks
- Department of Electrophysiology, HELIOS Heart Center Leipzig—University of Leipzig, Struempellstr. 39, Leipzig 04289, Germany
- Helios Health Institute, Leipzig, Germany
| | - Simon Kircher
- Department of Electrophysiology, HELIOS Heart Center Leipzig—University of Leipzig, Struempellstr. 39, Leipzig 04289, Germany
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Zhang ZR, Ragot D, Massin SZ, Suszko A, Ha ACT, Singh SM, Chauhan VS. P-Wave Duration/Amplitude Ratio Quantifies Atrial Low-Voltage Area and Predicts Atrial Arrhythmia Recurrence After Pulmonary Vein Isolation. Can J Cardiol 2023; 39:1421-1431. [PMID: 37100282 DOI: 10.1016/j.cjca.2023.04.014] [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: 01/23/2023] [Revised: 03/31/2023] [Accepted: 04/19/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Atrial low-voltage areas (LVAs) in patients with atrial fibrillation increase the risk of atrial arrhythmia (AA) recurrence after pulmonary vein isolation (PVI). Contemporary LVA prediction scores (DR-FLASH, APPLE) do not include P-wave metrics. We aimed to evaluate the utility of P-wave duration/amplitude ratio (PWR) in quantifying LVA and predicting AA recurrence after PVI. METHODS In 65 patients undergoing first-time PVI, 12-lead ECGs were recorded during sinus rhythm. PWR was calculated as the ratio between the longest P-wave duration and P-wave amplitude in lead I. High-resolution biatrial voltage maps were collected and LVAs included bipolar electrogram amplitudes < 0.5 mV or < 1.0 mV. An LVA quantification model was created with the use of clinical variables and PWR, and then validated in a separate cohort of 24 patients. Seventy-eight patients were followed for 12 months to evaluate AA recurrence. RESULTS PWR strongly correlated with left atrial (LA) (< 0.5 mV: r = 0.60; < 1.0 mV: r = 0.68; P < 0.001) and biatrial LVA (< 0.5 mV: r = 0.63; < 1.0 mV: r = 0.70; P < 0.001). Addition of PWR to clinical variables improved model quantification of LA LVA at the < 0.5 mV (adjusted R2 = 0.59 to 0.68) and < 1.0 mV (adjusted R2 = 0.59 to 0.74) cutoffs. In the validation cohort, PWR model-predicted LVA correlated strongly with measured LVA (< 0.5 mV: r = 0.78; < 1.0 mV: r = 0.81; P < 0.001). PWR model was superior to DR-FLASH (area under the receiver operating characteristic curve [AUC] 0.90 vs 0.78; P = 0.030) and APPLE (AUC 0.90 vs 0.67; P = 0.003) at detecting LA LVA and similar at predicting AA recurrence after PVI (AUC 0.67 vs 0.65 and 0.60). CONCLUSION Our novel PWR model accurately quantifies LVA and predicts AA recurrence after PVI. PWR model-predicted LVA may help guide patient selection for PVI.
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Affiliation(s)
- Zhi Rui Zhang
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Don Ragot
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Sophia Z Massin
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Adrian Suszko
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Andrew C T Ha
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Sheldon M Singh
- Division of Cardiology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Vijay S Chauhan
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
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9
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Van Leuven O, Bergonti M, Spera FR, Ferrero TG, Nsahlai M, Bilotta G, Tijskens M, Boris W, Saenen J, Huybrechts W, Miljoen H, González-Juanatey JR, Martínez-Sande JL, Vandaele L, Wittock A, Heidbuchel H, Valderrábano M, Rodríguez-Mañero M, Sarkozy A. Gender-Related Differences in Atrial Substrate in Patients with Atrial Fibrillation. Am J Cardiol 2023; 203:451-458. [PMID: 37540903 DOI: 10.1016/j.amjcard.2023.06.095] [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: 04/10/2023] [Revised: 06/23/2023] [Accepted: 06/29/2023] [Indexed: 08/06/2023]
Abstract
Gender-related differences have been reported in patients who underwent pulmonary vein isolation (PVI). Atrial substrate plays a role in the outcomes after ablation but gender-related differences in atrial substrate have never been described in detail. We sought to analyze gender-related differences in atrial remodeling (spontaneous low-voltage zones [LVZs]) and their clinical relevance after PVI. We conducted a prospective multicenter study, including consecutive patients who underwent first PVI-only atrial fibrillation (AF) ablation. LVZs were analyzed on high-density electroanatomical maps collected with multipolar catheter, before PVI. In total, 262 patients (61 ± 11 years, 31% female, 50% persistent AF) were followed for 28 months. In women, LVZs were larger (10% vs 4% of left atrial surface [p <0.001]) and female gender was independently associated with fourfold higher risk of having advanced (LVZ > 15%) atrial remodeling (odds ratio 4.56, p <0.001). AF recurrence-free survival was not different between men and women (log-rank p = 0.2). Although LVZs were independently associated higher AF recurrences at multivariate analysis (hazard ratio [HR] 1.2, p = 0.038), female gender was not (HR 1.4, p = 0.211). Specifically, the LVZ cutoff to predict outcomes was different in men and women: >5% in men (HR 3.0, p <0.001), >15% in women (HR 2.7, p = 0.02). In conclusion, women have more widespread LVZ in all left atrial regions. Despite more extensive atrial remodeling, the AF recurrence rate is similar in men and women, and LVZs become prognostic in women only at high burden (>15%). LVZs seem to have a different prognostic role in men and women.
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Affiliation(s)
- Olivier Van Leuven
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium
| | - Marco Bergonti
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium; Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland.
| | | | - Teba Gonzalez Ferrero
- Complexo Hospitalario Universitario de Santiago de Compostela (CHUS) SERGAS, Santiago de Compostela, Spain
| | - Michelle Nsahlai
- Department of Cardiology, DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston, Texas
| | - Giada Bilotta
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium
| | - Maxime Tijskens
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium
| | - Wim Boris
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium
| | - Johan Saenen
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium
| | - Wim Huybrechts
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium
| | - Hielko Miljoen
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium
| | - Jose Ramón González-Juanatey
- Complexo Hospitalario Universitario de Santiago de Compostela (CHUS) SERGAS, Santiago de Compostela, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)
| | - Jose Luis Martínez-Sande
- Complexo Hospitalario Universitario de Santiago de Compostela (CHUS) SERGAS, Santiago de Compostela, Spain
| | - Lien Vandaele
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium
| | - Anouk Wittock
- Departments of Anesthesiology, University Hospital Antwerp, Antwerp, Belgium
| | - Hein Heidbuchel
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium; Departments of Anesthesiology, University Hospital Antwerp, Antwerp, Belgium
| | - Miguel Valderrábano
- Department of Cardiology, DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston, Texas
| | - Moises Rodríguez-Mañero
- Complexo Hospitalario Universitario de Santiago de Compostela (CHUS) SERGAS, Santiago de Compostela, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)
| | - Andrea Sarkozy
- Departments of Cardiology, University Hospital Antwerp, Antwerp, Belgium; Cardiovascular Research, GENCOR, University of Antwerp, Antwerp, Belgium
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10
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Kamioka M, Makimoto H, Watanabe T, Watanabe H, Okuyama T, Kaneshiro T, Hijioka N, Yokota A, Komori T, Kabutoya T, Imai Y, Kario K. Unipolar-voltage-based evaluation of left atrial tissue properties and ablation outcome in patients with atrial fibrillation. Europace 2023; 25:euad240. [PMID: 37539865 PMCID: PMC10422692 DOI: 10.1093/europace/euad240] [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: 03/09/2023] [Revised: 04/12/2023] [Accepted: 08/01/2023] [Indexed: 08/05/2023] Open
Abstract
AIMS The relationship between local unipolar voltage (UV) in the pulmonary vein (PV)-ostia and left atrial wall thickness (LAWT) and the utility of these parameters as indices of outcome after atrial fibrillation (AF) ablation remain unclear. METHODS AND RESULTS Two-hundred seventy-two AF patients who underwent AF ablation were enrolled. Unipolar voltage of PV-ostia was measured using a CARTO system, and LAWT was measured using computed tomography. The primary endpoint was atrial tachyarrhythmia (ATA) recurrence including AF. The ATA recurrence was documented in 74 patients (ATA-Rec group). The UV and LAWT of the bilateral superior PV roof to posterior and around the right-inferior PV in the ATA-Rec group were significantly greater than in patients without ATA recurrence (ATA-Free group) (P < 0.001). The UV had a strong positive correlation with LAWT (R2 = 0.446, P < 0.001). The UV 2.7 mV and the corresponding LAWT 1.6 mm were determined as the cut-off values for ATA recurrence (P < 0.001, respectively). Multisite LA high UV (HUV, ≥4 areas of >2.7 mV) or multisite LA wall thickening (≥5 areas of >1.6 mm), defined as LA hypertrophy (LAH), was related to higher ATA recurrence. Among 92 LAH patients, 66 had HUV (LAH-HUV) and the remaining 26 had low UV (LAH-LUV), characterized by history of non-paroxysmal AF and heart failure, reduced LV ejection fraction, or enlarged LA. In addition, LAH-LUV showed the worst ablation outcome, followed by LAH-HUV and No LAH (log-rank P < 0.001). CONCLUSION Combining UV and LAWT enables us to stratify recurrence risk and suggest a tailored ablation strategy according to LA tissue properties.
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Affiliation(s)
- Masashi Kamioka
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Hisaki Makimoto
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Tomonori Watanabe
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Hiroaki Watanabe
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Takafumi Okuyama
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Takashi Kaneshiro
- Department of Arrhythmia and Cardiac Pacing, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan
| | - Naoko Hijioka
- Cardiovascular Center, Ohta Nishinouchi Hospital, 2-5-20 Nishinouchi, Koriyama 963-8558, Japan
| | - Ayako Yokota
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Takahiro Komori
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Tomoyuki Kabutoya
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Yasushi Imai
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
| | - Kazuomi Kario
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan
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11
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Starek Z, Di Cori A, Betts TR, Clerici G, Gras D, Lyan E, Della Bella P, Li J, Hack B, Zitella Verbick L, Sommer P. Baseline left atrial low-voltage area predicts recurrence after pulmonary vein isolation: WAVE-MAP AF results. Europace 2023; 25:euad194. [PMID: 37470443 PMCID: PMC10410193 DOI: 10.1093/europace/euad194] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/04/2023] [Accepted: 05/11/2023] [Indexed: 07/21/2023] Open
Abstract
AIMS Electro-anatomical mapping may be critical to identify atrial fibrillation (AF) subjects who require substrate modification beyond pulmonary vein isolation (PVI). The objective was to determine correlations between pre-ablation mapping characteristics and 12-month outcomes after a single PVI-only catheter ablation of AF. METHODS AND RESULTS This study enrolled paroxysmal AF (PAF), early persistent AF (PsAF; 7 days-3 months), and non-early PsAF (>3-12 months) subjects undergoing de novo PVI-only radiofrequency catheter ablation. Sinus rhythm (SR) and AF voltage maps were created with the Advisor HD Grid™ Mapping Catheter, Sensor Enabled™ for each subject, and the presence of low-voltage area (LVA) (low-voltage cutoffs: 0.1-1.5 mV) was investigated. Follow-up visits were at 3, 6, and 12 months, with a 24-h Holter monitor at 12 months. A Cox proportional hazards model identified associations between mapping data and 12-month recurrence after a single PVI procedure. The study enrolled 300 subjects (113 PAF, 86 early PsAF, and 101 non-early PsAF) at 18 centres. At 12 months, 75.5% of subjects were free from AF/atrial flutter (AFL)/atrial tachycardia (AT) recurrence. Univariate analysis found that arrhythmia recurrence did not correlate with AF diagnosis, but LVA was significantly correlated. Low-voltage area (<0.5 mV) >28% of the left atrium in SR [hazard ratio (HR): 4.82, 95% confidence interval (CI): 2.08-11.18; P = 0.0003] and >72% in AF (HR: 5.66, 95% CI: 2.34-13.69; P = 0.0001) was associated with a higher risk of AF/AFL/AT recurrence at 12 months. CONCLUSION Larger extension of LVA was associated with an increased risk of arrhythmia recurrence. These subjects may benefit from substrate modification beyond PVI.
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Affiliation(s)
- Zdenek Starek
- International Clinical Research Center, St. Anne’s University Hospital Brno, Pekarska 664/53, Brno 60200, Czech Republic
- First Department of Internal Medicine/Cardioangiology, St. Anne’s Hospital, Masaryk University, Pekarska 664/53, Brno 60200, Czech Republic
| | - Andrea Di Cori
- Second Division of Cardiovascular Diseases, Cardiac-Thoracic and Vascular Department, New Santa Chiara Hospital, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - Timothy R Betts
- Department of Cardiology, John Radcliffe Hospital, Oxford, UK
| | - Gael Clerici
- Cardiology Department, Rhythmology Unit, Centre Hospitalier Universitaire de La Reunion, La Reunion, France
| | - Daniel Gras
- Department of Cardiology, Hopital Prive du Confluent, Nantes, France
| | - Evgeny Lyan
- Department of Cardiology, Section of Electrophysiology, Herz-und Gefäßzentrum Bad Bevensen, Bad Bevensen, Germany
| | - Paolo Della Bella
- Arrhythmia Unit and Electrophysiology Laboratories, Ospedale San Raffaele, Milano, Italy
| | | | | | | | - Philipp Sommer
- Department for Electrophysiology, Herz-und Diabetes Zentrum NRW, Bad Oeynhausen, Germany
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12
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López-Canoa JN, Couselo-Seijas M, González-Ferrero T, Almengló C, Álvarez E, González-Maestro A, González-Melchor L, Martínez-Sande JL, García-Seara J, Fernández-López J, Kreidieh B, González-Babarro E, González-Juanatey JR, Eiras S, Rodríguez-Mañero M. The Role of Fatty Acid-Binding Protein 4 in the Characterization of Atrial Fibrillation and the Prediction of Outcomes after Catheter Ablation. Int J Mol Sci 2022; 23:ijms231911107. [PMID: 36232410 PMCID: PMC9570077 DOI: 10.3390/ijms231911107] [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: 08/18/2022] [Revised: 09/18/2022] [Accepted: 09/19/2022] [Indexed: 11/16/2022] Open
Abstract
Aims: The utility of biomarkers in characterizing atrial cardiomyopathy is unclear. We aim to test the ability of biomarkers of fibrosis (galectin-3 (Gal-3)) and adiposity (fatty acid-binding protein 4 (FABP4) and leptin) to predict: (1) the presence of low-voltage areas (LVA) in the electroanatomic voltage mapping; and (2) the recurrence of atrial fibrillation (AF) after pulmonary vein isolation (PVI). Methods: Patients referred for PVI were enrolled. Areas of bipolar voltage < 0.5 mV were considered as LVA. An aggregate score incorporating AF pattern (paroxysmal, persistent and long-standing persistent) and peripheral levels of FABP4 (>20 ng/mL) was developed. Results: 299 patients were included. AF was paroxysmal in 100 (33%), persistent in 130 (43%) and long-standing persistent in 69 (23%). Multivariable analysis revealed age, left atrium area, and the proposed score as independent predictors of LVA. During a mean follow-up period of 972 ± 451 days, freedom from AF recurrence was 63%. The score incorporating AF pattern and FABP4 levels accurately predicted freedom from AF recurrence, stratifying risk into ranges from 28% (score of 1) to 68% (score of 3). Cox regression models identified the score including AF pattern + FABP4 as the best model for AF recurrence (hazard ratio 2.32; 95% CI, 1.19 to 4.5; p = 0.014). Conclusions: Traditional clinical classification of atrial cardiomyopathy may be improved by markers of adiposity (FABP4). The combination allows better prediction of the presence of LVA and AF recurrence post-PVI. Gal-3 provided no added predictive value.
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Affiliation(s)
- José Nicolás López-Canoa
- Cardiovascular Department, Hospital Complex of Pontevedra, 36071 Pontevedra, Spain
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Department of Medicine, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Marinela Couselo-Seijas
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Teba González-Ferrero
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Cardiovascular Department, Hospital Complex of Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Cristina Almengló
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Ezequiel Álvarez
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Department of Medicine, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- CIBERCV, Institute of Health Carlos III, 28220 Madrid, Spain
| | - Adrián González-Maestro
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Laila González-Melchor
- Cardiovascular Department, Hospital Complex of Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - José Luis Martínez-Sande
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Department of Medicine, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Cardiovascular Department, Hospital Complex of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- CIBERCV, Institute of Health Carlos III, 28220 Madrid, Spain
| | - Javier García-Seara
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Cardiovascular Department, Hospital Complex of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- CIBERCV, Institute of Health Carlos III, 28220 Madrid, Spain
| | - Jesús Fernández-López
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Cardiovascular Department, Hospital Complex of Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Bahij Kreidieh
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Eva González-Babarro
- Cardiovascular Department, Hospital Complex of Pontevedra, 36071 Pontevedra, Spain
| | - José Ramón González-Juanatey
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Department of Medicine, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Cardiovascular Department, Hospital Complex of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- CIBERCV, Institute of Health Carlos III, 28220 Madrid, Spain
| | - Sonia Eiras
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- CIBERCV, Institute of Health Carlos III, 28220 Madrid, Spain
| | - Moisés Rodríguez-Mañero
- Cardiology Translational Group, Health Research Institute of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Department of Medicine, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Cardiovascular Department, Hospital Complex of Santiago de Compostela, 15706 Santiago de Compostela, Spain
- CIBERCV, Institute of Health Carlos III, 28220 Madrid, Spain
- Correspondence:
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13
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Shao Y, Chen L, Chen W, Sang C, Xu C, Zhang C. Left atrial epicardial adipose tissue is associated with low voltage zones in the left atrium in patients with non-valvular atrial fibrillation. Front Cardiovasc Med 2022; 9:924646. [PMID: 35911525 PMCID: PMC9333900 DOI: 10.3389/fcvm.2022.924646] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/28/2022] [Indexed: 12/22/2022] Open
Abstract
Objective Epicardial adipose tissue (EAT) is related to atrial fibrillation (AF), but the specific mechanism is still unclear. Left atrial (LA) low voltage zones (LVZ) can well reflect atrial fibrosis. This study investigated the relationship between EAT and LVZ in non-valvular AF (NVAF) patients. Methods This observational study including patients with NVAF (n = 214) undergoing radiofrequency ablation (RFCA) for the first time in our hospital and 62 matched controls. The EAT volume and attenuation were measured by contrast-enhanced computed tomography. A three-dimensional mapping system was used to map the left atrial endocardium and evaluate LA-LVZ. Patients were divided into LVZ and non-LVZ groups according to the presence or absence of LVZ. Results Patients with AF showed higher LA-EAT volume and lower attenuation value than controls (29.7 ± 11.2 cm3 vs. 20.9 ± 8.6 cm3, P = 0.021; −91.2 ± 5.6 HU vs. −88.7 ± 5.9 HU, P < 0.001). Compared with the group without LVZ, there were significant differences in age [65 (59–71) vs. 60 (52–69), P = 0.006], LAVI [75.1 ± 20.7 ml/m2 vs. 67.2 ± 20.9 ml/m2, P = 0.018], LA-EAT volume (34.8 ± 11.5 cm3 vs. 28.1 ± 10.6 cm3, P < 0.001) and LA-EAT attenuation (−93.9 ± 5.3 HU vs. −90.4 ± 5.5 HU, P < 0.001). Multivariate regression analysis showed that age (OR = 1.040; 95%CI: 1.001–1.078, P = 0.042), LAVI (OR = 1.019; 95%CI: 1.002–1.037, P = 0.032), LA-EAT volume (OR = 1.193; 95%CI: 1.015–1.402, P = 0.034) and attenuation value (OR = 0.801; 95%CI: 0.701–0.916 P = 0.001) were independent predictors of LVZ. After LA-EAT attenuation was incorporated into the clinical model, the comprehensive discrimination and net reclassification tended to improve (IDI and NRI > 0, P < 0.05). Conclusion LA-EAT volume and attenuation values can independently predict the presence of LVZ, and LA-EAT attenuation has a better predictive value than LA-EAT volume.
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Affiliation(s)
- Yameng Shao
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Lei Chen
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Wensu Chen
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Chuanyi Sang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Changjiang Xu
- Department of Cardiology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Chaoqun Zhang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
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14
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Schnabel RB, Marinelli EA, Arbelo E, Boriani G, Boveda S, Buckley CM, Camm AJ, Casadei B, Chua W, Dagres N, de Melis M, Desteghe L, Diederichsen SZ, Duncker D, Eckardt L, Eisert C, Engler D, Fabritz L, Freedman B, Gillet L, Goette A, Guasch E, Svendsen JH, Hatem SN, Haeusler KG, Healey JS, Heidbuchel H, Hindricks G, Hobbs FDR, Hübner T, Kotecha D, Krekler M, Leclercq C, Lewalter T, Lin H, Linz D, Lip GYH, Løchen ML, Lucassen W, Malaczynska-Rajpold K, Massberg S, Merino JL, Meyer R, Mont L, Myers MC, Neubeck L, Niiranen T, Oeff M, Oldgren J, Potpara TS, Psaroudakis G, Pürerfellner H, Ravens U, Rienstra M, Rivard L, Scherr D, Schotten U, Shah D, Sinner MF, Smolnik R, Steinbeck G, Steven D, Svennberg E, Thomas D, True Hills M, van Gelder IC, Vardar B, Palà E, Wakili R, Wegscheider K, Wieloch M, Willems S, Witt H, Ziegler A, Daniel Zink M, Kirchhof P. Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference. Europace 2022; 25:6-27. [PMID: 35894842 PMCID: PMC9907557 DOI: 10.1093/europace/euac062] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
Despite marked progress in the management of atrial fibrillation (AF), detecting AF remains difficult and AF-related complications cause unacceptable morbidity and mortality even on optimal current therapy. This document summarizes the key outcomes of the 8th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Eighty-three international experts met in Hamburg for 2 days in October 2021. Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and research strategies. The main outcomes are (i) new evidence supports a simple, scalable, and pragmatic population-based AF screening pathway; (ii) rhythm management is evolving from therapy aimed at improving symptoms to an integrated domain in the prevention of AF-related outcomes, especially in patients with recently diagnosed AF; (iii) improved characterization of atrial cardiomyopathy may help to identify patients in need for therapy; (iv) standardized assessment of cognitive function in patients with AF could lead to improvement in patient outcomes; and (v) artificial intelligence (AI) can support all of the above aims, but requires advanced interdisciplinary knowledge and collaboration as well as a better medico-legal framework. Implementation of new evidence-based approaches to AF screening and rhythm management can improve outcomes in patients with AF. Additional benefits are possible with further efforts to identify and target atrial cardiomyopathy and cognitive impairment, which can be facilitated by AI.
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Affiliation(s)
- Renate B Schnabel
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany,German Centre for Cardiovascular Research (DZHK) partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | | | - Elena Arbelo
- Arrhythmia Section, Cardiology Department, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain,IDIBAPS, Institut d'Investigació August Pi i Sunyer, Barcelona, Spain,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Polyclinic of Modena, Modena, Italy
| | - Serge Boveda
- Cardiology—Heart Rhythm Management Department, Clinique Pasteur, 45 Avenue de Lombez, 31076 Toulouse, France,Universiteit Ziekenhuis, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | | | - A John Camm
- Cardiology Clinical Academic Group, Molecular and Clinical Sciences Institute, St. George's University of London, London, UK
| | - Barbara Casadei
- RDM, Division of Cardiovascular Medicine, British Heart Foundation Centre of Research Excellence, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Winnie Chua
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Nikolaos Dagres
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | - Mirko de Melis
- Medtronic Bakken Research Center, Maastricht, The Netherlands
| | - Lien Desteghe
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium,Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium,Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium,Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
| | - Søren Zöga Diederichsen
- Department of Cardiology, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Lars Eckardt
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Division of Electrophysiology, Department of Cardiology and Angiology, Münster, Germany
| | | | - Daniel Engler
- Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany,German Centre for Cardiovascular Research (DZHK) partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Larissa Fabritz
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany,German Centre for Cardiovascular Research (DZHK) partner site Hamburg/Kiel/Lübeck, Hamburg, Germany,Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK,University Center of Cardiovascular Science Hamburg, Hamburg, Germany
| | - Ben Freedman
- Heart Research Institute, The University of Sydney, Sydney, Australia
| | | | - Andreas Goette
- Atrial Fibrillation Network (AFNET), Muenster, Germany,St Vincenz Hospital, Paderborn, Germany
| | - Eduard Guasch
- Arrhythmia Section, Cardiology Department, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain,IDIBAPS, Institut d'Investigació August Pi i Sunyer, Barcelona, Spain,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Jesper Hastrup Svendsen
- Department of Cardiology, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Karl Georg Haeusler
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Department of Neurology, Universitätsklinikum Würzburg, Würzburg, Germany
| | - Jeff S Healey
- Population Health Research Institute, McMaster University Hamilton, ON, Canada
| | - Hein Heidbuchel
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium,Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
| | - Gerhard Hindricks
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | | | | | - Dipak Kotecha
- University of Birmingham & University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | | | | | - Thorsten Lewalter
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Hospital Munich South, Department of Cardiology, Munich, Germany,Department of Cardiology, University of Bonn, Bonn, Germany
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Maja Lisa Løchen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Wim Lucassen
- Amsterdam UMC (location AMC), Department General Practice, Amsterdam, The Netherlands
| | | | - Steffen Massberg
- Department of Cardiology, University Hospital, LMU Munich, Munich, Germany,German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, Germany
| | - Jose L Merino
- Arrhythmia & Robotic EP Unit, La Paz University Hospital, IDIPAZ, Madrid, Spain
| | | | - Lluıs Mont
- Arrhythmia Section, Cardiology Department, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain,IDIBAPS, Institut d'Investigació August Pi i Sunyer, Barcelona, Spain,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | | | - Lis Neubeck
- Arrhythmia & Robotic EP Unit, La Paz University Hospital, IDIPAZ, Madrid, Spain
| | - Teemu Niiranen
- Medtronic, Dublin, Ireland,Centre for Cardiovascular Health Edinburgh Napier University, Edinburgh, UK
| | - Michael Oeff
- Atrial Fibrillation Network (AFNET), Muenster, Germany
| | - Jonas Oldgren
- University of Turku and Turku University Hospital, Turku, Finland
| | | | - George Psaroudakis
- Uppsala Clinical Research Center and Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Helmut Pürerfellner
- School of Medicine, Belgrade University, Cardiology Clinic, University Clinical Centre of Serbia, Belgrade, Serbia
| | - Ursula Ravens
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Bayer AG, Leverkusen, Germany
| | - Michiel Rienstra
- Ordensklinikum Linz, Elisabethinen, Cardiological Department, Linz, Austria
| | - Lena Rivard
- Institute of Experimental Cardiovascular Medicine, University Hospital Freiburg, Freiburg, Germany
| | - Daniel Scherr
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ulrich Schotten
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Montreal Heart Institute, University of Montreal, Montreal, Canada
| | - Dipen Shah
- Division of Cardiology, Medical University of Graz, Graz, Austria
| | - Moritz F Sinner
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Amsterdam UMC (location AMC), Department General Practice, Amsterdam, The Netherlands,Royal Brompton Hospital, London, UK
| | | | - Gerhard Steinbeck
- Atrial Fibrillation Network (AFNET), Muenster, Germany,MUMC+, Maastricht, The Netherlands
| | - Daniel Steven
- Atrial Fibrillation Network (AFNET), Muenster, Germany,University Hospital of Geneva, Cardiac Electrophysiology Unit, Geneva, Switzerland
| | - Emma Svennberg
- Center for Cardiology at Clinic Starnberg, Starnberg, Germany
| | - Dierk Thomas
- Atrial Fibrillation Network (AFNET), Muenster, Germany,University Hospital Cologne, Heart Center, Department of Electrophysiology, Cologne, Germany,Karolinska Institutet, Department of Medicine Huddinge, Karolinska University Hospital, Stockholm, Sweden,Department of Cardiology, Medical University Hospital, Heidelberg, Germany
| | - Mellanie True Hills
- HCR (Heidelberg Center for Heart Rhythm Disorders), Medical University Hospital Heidelberg, Heidelberg, Germany
| | - Isabelle C van Gelder
- DZHK (German Center for Cardiovascular Research), partner site Heidelberg/Mannheim, Heidelberg, Germany
| | - Burcu Vardar
- Uppsala Clinical Research Center and Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Elena Palà
- StopAfib.org, American Foundation for Women’s Health, Decatur, TX, USA
| | - Reza Wakili
- Atrial Fibrillation Network (AFNET), Muenster, Germany,Department of Cardiology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Karl Wegscheider
- Atrial Fibrillation Network (AFNET), Muenster, Germany,German Centre for Cardiovascular Research (DZHK) partner site Hamburg/Kiel/Lübeck, Hamburg, Germany,Neurovascular Research Laboratory, Vall d’Hebron Institute of Research (VHIR), Autonomous University of Barcelona, Barcelona, Spain
| | - Mattias Wieloch
- Department of Cardiology and Vascular Medicine, Westgerman Heart and Vascular Center, University of Duisburg-Essen, Essen, Germany,Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Germany
| | - Stephan Willems
- Atrial Fibrillation Network (AFNET), Muenster, Germany,German Centre for Cardiovascular Research (DZHK) partner site Hamburg/Kiel/Lübeck, Hamburg, Germany,Department of Coagulation Disorders, Skane University Hospital, Lund University, Malmö, Sweden
| | | | | | - Matthias Daniel Zink
- Asklepios Hospital St Georg, Department of Cardiology and Internal Intensive Care Medicine, Faculty of Medicine, Semmelweis University Campus Hamburg, Hamburg, Germany
| | - Paulus Kirchhof
- Corresponding author. Tel: +49 40 7410 52438; Fax: +49 40 7410 55862. E-mail address:
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15
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Kreimer F, Gotzmann M. Left Atrial Cardiomyopathy - A Challenging Diagnosis. Front Cardiovasc Med 2022; 9:942385. [PMID: 35845077 PMCID: PMC9280085 DOI: 10.3389/fcvm.2022.942385] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/14/2022] [Indexed: 01/08/2023] Open
Abstract
Left atrial cardiomyopathy (LACM) has been an ongoing focus of research for several years. There is evidence that LACM is responsible for atrial fibrillation and embolic strokes of undetermined sources. Therefore, the correct diagnosis of LACM is of clinical importance. Various techniques, including electrocardiography, echocardiography, cardiac magnetic resonance imaging, computed tomography, electroanatomic mapping, genetic testing, and biomarkers, can both identify and quantify structural, mechanical as well as electrical dysfunction in the atria. However, the question arises whether these techniques can reliably diagnose LACM. Because of its heterogeneity, clinical diagnosis is challenging. To date, there are no recommendations for standardized diagnosis of suspected LACM. However, standardization could help to classify LACM more precisely and derive therapeutic directions to improve individual patient management. In addition, uniform diagnostic criteria for LACM could be important for future studies. Combining several parameters and relating them seems beneficial to approach the diagnosis of LACM. This review provides an overview of the current evidence regarding the diagnosis of LACM, in which several potential parameters are discussed and, consequently, a proposal for a diagnostic algorithm is presented.
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Affiliation(s)
- Fabienne Kreimer
- University Hospital St. Josef-Hospital Bochum, Cardiology and Rhythmology, Ruhr University Bochum, Bochum, Germany
| | - Michael Gotzmann
- University Hospital St. Josef-Hospital Bochum, Cardiology and Rhythmology, Ruhr University Bochum, Bochum, Germany
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16
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Sciacca V, Fink T, Eitel C, Heeger CH, Sano M, Reil JC, Eitel I, Kuck KH, Vogler J, Tilz RR. Repeat catheter ablation in patients with atrial arrhythmia recurrence despite durable pulmonary vein isolation. J Cardiovasc Electrophysiol 2022; 33:2003-2012. [PMID: 35761754 DOI: 10.1111/jce.15610] [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: 01/22/2022] [Revised: 04/18/2022] [Accepted: 05/11/2022] [Indexed: 12/01/2022]
Abstract
INTRODUCTION Arrhythmia recurrence after pulmonary vein isolation (PVI) in patients with atrial fibrillation (AF) is common and often linked to pulmonary vein reconnection. In patients with arrhythmia recurrences despite durable PVI the optimal ablation approach is unclear. The purpose of the present study was to analyze efficacy of extended ablation maneuvers in these patients and predictors of procedural success. METHODS Consecutive patients with durable PVI undergoing repeat ablation procedures were prospectively enrolled. Patients underwent substrate modification with creation of linear lesions and/or mechanism-specific atrial tachycardia (AT) ablation. 3D-mapping images were analyzed for the presence of left atrial (LA) low-voltage areas according to published scoring systems. RESULTS Seventy-four patients were analyzed. Mode of recurrence after durable PVI was AF in 27 patients (36.5%) and AT in 47 patients (63.5%). Linear lesion ablation was performed in 60 patients (81.1%). Twenty-four patients (32.4%) were treated for focal AT mechanisms. Mean follow-up was 565±342 days. Estimated arrhythmia-free survival after 24 months was significantly higher in patients with AT than in patients with AF as mode of recurrence after durable PVI (42.9±8.2% vs. 24.7±8.5%, p=0.023) and in patients without compared to patients with marked LA low-voltage areas (40.5±9.2% vs. 22.8±8.5%, p=0.041). The mode of recurrence after durable PVI was the only independent predictor of further arrhythmia recurrence after repeat ablation. CONCLUSION Arrhythmia-free survival following repeat ablation procedures in patients with durable PVI highly depends on mode of arrhythmia recurrence and the presence of LA low-voltage areas. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Vanessa Sciacca
- University Heart Center Lübeck, Division of Electrophysiology, Lübeck, Germany.,Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Bad Oeynhausen, Germany
| | - Thomas Fink
- University Heart Center Lübeck, Division of Electrophysiology, Lübeck, Germany.,Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Bad Oeynhausen, Germany
| | - Charlotte Eitel
- University Heart Center Lübeck, Division of Electrophysiology, Lübeck, Germany
| | - Christian-Hendrik Heeger
- University Heart Center Lübeck, Division of Electrophysiology, Lübeck, Germany.,German Centre for Cardiovascular Research, Germany
| | - Makoto Sano
- University Heart Center Lübeck, Division of Electrophysiology, Lübeck, Germany
| | - Jan-Christian Reil
- German Centre for Cardiovascular Research, Germany.,University Heart Center Lübeck, Department of Cardiology, Lübeck, Germany
| | - Ingo Eitel
- German Centre for Cardiovascular Research, Germany.,University Heart Center Lübeck, Department of Cardiology, Lübeck, Germany
| | - Karl-Heinz Kuck
- University Heart Center Lübeck, Division of Electrophysiology, Lübeck, Germany.,German Centre for Cardiovascular Research, Germany.,LANS Cardio, Hamburg, Germany
| | - Julia Vogler
- University Heart Center Lübeck, Division of Electrophysiology, Lübeck, Germany
| | - Roland Richard Tilz
- University Heart Center Lübeck, Division of Electrophysiology, Lübeck, Germany.,German Centre for Cardiovascular Research, Germany
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17
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Liu W, Li S, Han B. It Is Necessary to Re-understand the Low-Voltage Area in Atrial Fibrillation Patients. Front Cardiovasc Med 2022; 9:919873. [PMID: 35783829 PMCID: PMC9247271 DOI: 10.3389/fcvm.2022.919873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/27/2022] [Indexed: 11/20/2022] Open
Abstract
The presence of a low-voltage areas (LVAs) is a major feature of the progression of atrial fibrillation. Typically, the LVA is determined by invasive left atrial voltage mapping. In addition to pulmonary vein electrical isolation, Voltage-guided substrate modification by targeting LVAs in addition to PVI has been shown to be superior to conventional PVI “only” approaches regarding freedom from AF recurrences after ablation. Recent studies have found Atrial wall thickness correlates with low voltage areas, and the degree of atrial myocardial fibrosis can be better assessed by CT or MRI in combination with voltage mapping, which might help reduce the recurrence of AF after catheter ablation.
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Affiliation(s)
- Wei Liu
- Bengbu Medical College, Bengbu, China
| | - Shijie Li
- Bengbu Medical College, Bengbu, China
- Department of Cardiology, Xuzhou Central Hospital, Xuzhou, China
- *Correspondence: Shijie Li
| | - Bing Han
- Department of Cardiology, Xuzhou Central Hospital, Xuzhou, China
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18
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Tang Q, Guo XG, Sun Q, Ma J. The pre-ablation triglyceride-glucose index predicts late recurrence of atrial fibrillation after radiofrequency ablation in non-diabetic adults. BMC Cardiovasc Disord 2022; 22:219. [PMID: 35568806 PMCID: PMC9107168 DOI: 10.1186/s12872-022-02657-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 05/03/2022] [Indexed: 11/26/2022] Open
Abstract
Background Current prognostic risk scoring systems and biomarkers are routinely used as non-invasive methods for assessing late recurrence of atrial fibrillation (AF) in patients who have undergone radiofrequency catheter ablation (RFCA). This study aimed to investigate the predictive value of the triglyceride-glucose (TyG) index for late AF recurrence after RFCA in non-diabetic patients. Methods In total, 275 patients with AF who underwent RFCA at the Fuwai hospital (Beijing, China) between January 2016 and December 2018 were enrolled in this study. During follow up, patients were divided into late and non-late AF recurrence groups, based on whether they had experienced late AF recurrence determined by electrocardiography (ECG) examine or 48 h Holter monitoring. The TyG index was calculated using the following equation: ln [fasting triglycerides [mg/dL] × fasting glucose [mg/dL]/2]. Results During a median follow-up of 26.1 months, late AF recurrence event rates significantly increased in the highest TyG index tertile group (tertile 3) compared to the lowest group (tertile 1) (54% versus 12%, respectively; p < 0.001). The mean TyG index was higher in the late AF recurrence group compared to the non- late AF recurrence group (9.42 ± 0.6 versus 8.68 ± 0.70, respectively; p < 0.001). On multivariate Cox regression analysis, the pre-ablation TyG index was an independent risk factor for late recurrence of AF after RFCA (hazard ratio [HR] 2.015 [95% confidence interval (CI): 1.408–4.117]; p = 0.009). Receiver operating characteristic (ROC) curve analysis revealed that TyG index was a significant predictor of late AF recurrence after RFCA, with an area under the ROC curve (AUC) of 0.737 (95% CI: 0.657–0.816; p < 0.001). In addition, the AUC of left atrial diameter (LAD) was 0.780 (95%CI: 0.703–0.857, p < 0.001). Finally, the TyG index positively correlated with LAD (r = 0.133, p = 0.027), high sensitivity C-reactive protein (r = 0.132, p = 0.028) and N-terminal pro B-type natriuretic peptide (r = 0.291, p < 0.001) levels. Conclusions An elevated pre-ablation TyG index was associated with an increased risk of late AF recurrence after RFCA in non-diabetic patients. The TyG index may be potentially useful as a novel biomarker for the risk stratification of late AF recurrence in non-diabetic patients.
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Affiliation(s)
- Qinghui Tang
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Bei Li Shi Road, Xicheng District, Beijing, 100037, China
| | - Xiao-Gang Guo
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Bei Li Shi Road, Xicheng District, Beijing, 100037, China
| | - Qi Sun
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Bei Li Shi Road, Xicheng District, Beijing, 100037, China
| | - Jian Ma
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Bei Li Shi Road, Xicheng District, Beijing, 100037, China.
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19
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Wu Y, Gao P, Fang Q, Liu Y, Cheng K, Cheng Z, Deng H, Chen T, Yang D. Mitral valve regurgitation is associated with left atrial fibrosis in patients with atrial fibrillation. J Electrocardiol 2021; 70:24-29. [PMID: 34844143 DOI: 10.1016/j.jelectrocard.2021.11.031] [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: 08/09/2021] [Revised: 09/29/2021] [Accepted: 11/16/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Low voltage zones (LVZ) are associated with poor outcomes in patients with atrial fibrillation (AF). The APPLE and DR-FLASH scores predict LVZ in patients undergoing catheter ablation. This study aimed to assess the relationship of mitral valve regurgitation (MR) and LVZ after adjusting for APPLE or DR-FLASH scores. METHODS This was a retrospective study on patients with AF who underwent their first catheter ablation. All patients underwent a transthoracic echocardiographic examination before ablation. The APPLE and DR-FLASH scores were calculated at baseline. LVZ determined by high-density mapping was defined as bipolar voltage amplitude <0.5 mV. LVZ presence was defined as LVZ covering >5% of the left atrial surface area. RESULTS Altogether, 152 patients (mean age 62.0 ± 10.8 years, 65.8% men, and 36.2% with persistent AF) were included. Of the 152 patients, 47 (30.9%) had LVZ. The patients with LVZ had more moderate-to-severe MR (17.0% vs. 3.8%, P = 0.014) and higher APPLE scores (1.7 ± 1.1 vs. 1.2 ± 1.1, P = 0.009) and DR-FLASH scores (3.0 ± 1.5 vs. 2.4 ± 1.4, P = 0.010). Using multivariate logistic regression analysis, we found moderate-to-severe MR was related to LVZ presence after adjusting for the APPLE (OR 4.040, P = 0.034) or DR-FLASH (OR 4.487, P = 0.020) scores. Furthermore, moderate-to-severe MR had an incremental predictive value for LVZ presence in addition to the APPLE (P = 0.03) or DR-FLASH (P = 0.02) scores. CONCLUSION In patients with AF, MR severity was related to LVZ after adjusting the APPLE score or DR-FLASH score.
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Affiliation(s)
- Yanfang Wu
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peng Gao
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Quan Fang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Yongtai Liu
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kangan Cheng
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhongwei Cheng
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hua Deng
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Taibo Chen
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Deyan Yang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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20
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Seewöster T, Kornej J. Response to the Letter: The NT-proANP puzzle - a small piece that makes the big picture. Clin Cardiol 2020; 44:11-12. [PMID: 33188582 PMCID: PMC7803368 DOI: 10.1002/clc.23498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 10/15/2020] [Indexed: 11/20/2022] Open
Affiliation(s)
- Timm Seewöster
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | - Jelena Kornej
- Boston University, School of Medicine-Cardiovascular Medicine, Boston University, Boston, Massachusetts, USA
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