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Kim H, Kim D, Kim K, Choi SH, Kim M, Park J, Yu HT, Kim T, Uhm J, Joung B, Lee M, Pak H. Effects of antiarrhythmic drug responsiveness and diagnosis-to-ablation time on outcomes after catheter ablation for persistent atrial fibrillation. J Arrhythm 2024; 40:867-878. [PMID: 39139899 PMCID: PMC11317675 DOI: 10.1002/joa3.13104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 05/30/2024] [Accepted: 06/18/2024] [Indexed: 08/15/2024] Open
Abstract
Background The impact of delaying atrial fibrillation catheter ablation (AFCA) for antiarrhythmic drug (AAD) management on the disease course remains unclear. This study investigated AFCA rhythm outcomes based on the diagnosis-to-ablation time (DAT) and AAD responsiveness in participants with persistent AF (PeAF). Methods We included data from 1038 AAD-resistant PeAF participants, all of whom had a clear time point for AF diagnosis, especially PeAF at diagnosis time, and had undergone an AFCA for the first time. Participants who experienced recurrences of paroxysmal type on AAD therapy were analyzed as a cohort of AAD-partial responders; those maintaining PeAF on AAD were AAD-non-responders. We determined the DAT cutoff for best discriminating long-term rhythm outcomes using a maximum log-likelihood estimation method based on the Cox proportional hazard regression model. Results Of the participants (79.8% male; median age 61), 806 (77.6%) were AAD-non-responders. AAD-non-responders had a higher body mass index and a larger left atrial diameter than AAD-partial-responders. They also had a higher incidence of AF recurrence after AFCA (adjusted hazard ratio 1.75, 95% confidence interval 1.33-2.30; log-rank p < .001) compared to AAD-partial-responders. The maximum log-likelihood estimation showed bimodal cutoffs at 22 and 40 months. The optimal DAT cutoff rhythm outcome was 22 months, which discriminated better in the AAD-partial-responders than in the AAD-non-responders. Conclusions Both DAT and AAD responsiveness influenced AFCA rhythm outcomes. Delaying AFCA to a DAT of longer than 22 months was inadvisable, particularly in the participants in whom PeAF was changed to paroxysmal AF during AAD therapy.
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Affiliation(s)
- Hong‐Ju Kim
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular HospitalYonsei University College of MedicineSeoulRepublic of Korea
- Division of Cardiology, Department of Internal MedicineYeungnam University College of MedicineDaeguRepublic of Korea
| | - Daehoon Kim
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular HospitalYonsei University College of MedicineSeoulRepublic of Korea
| | - Kipoong Kim
- Yonsei University Health SystemSeoulRepublic of Korea
| | - Sung Hwa Choi
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular HospitalYonsei University College of MedicineSeoulRepublic of Korea
- Cardiology DivisionGachon University Gil Medical CenterIncheonRepublic of Korea
| | - Moon‐Hyun Kim
- Yonsei University Health SystemSeoulRepublic of Korea
| | - Je‐Wook Park
- Yonsei University Health SystemSeoulRepublic of Korea
| | - Hee Tae Yu
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular HospitalYonsei University College of MedicineSeoulRepublic of Korea
| | - Tae‐Hoon Kim
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular HospitalYonsei University College of MedicineSeoulRepublic of Korea
| | - Jae‐Sun Uhm
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular HospitalYonsei University College of MedicineSeoulRepublic of Korea
| | - Boyoung Joung
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular HospitalYonsei University College of MedicineSeoulRepublic of Korea
| | - Moon‐Hyoung Lee
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular HospitalYonsei University College of MedicineSeoulRepublic of Korea
| | - Hui‐Nam Pak
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular HospitalYonsei University College of MedicineSeoulRepublic of Korea
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Ma GJ, Guo FQ, Hu J, Liu XW, Chen C, Gao B, Li CY. Association of pericoronary adipose tissue with atrial fibrillation recurrence after ablation based on computed tomographic angiography. Jpn J Radiol 2023; 41:955-964. [PMID: 37040024 DOI: 10.1007/s11604-023-01426-x] [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: 02/06/2023] [Accepted: 04/02/2023] [Indexed: 04/12/2023]
Abstract
PURPOSE Quantitative measurement of pericoronary adipose tissue volume (PCATV) and fat attenuation index (FAI) has mostly been used in the study of coronary artery related diseases but rarely in the relationship with atrial fibrillation (AF). This study was conducted to investigate the correlation of PCATV and FAI with the AF recurrence after ablation and the clinical significance. MATERIALS AND METHODS Patients with continuous AF who underwent radiofrequency ablation and computed tomographic angiography (CTA) were retrospectively enrolled. The PCATV, FAI, epicardial adipose tissue volume (EATV) and EAT density (EATD) arround the three main branches of the coronary arteries (LAD, LCX, and RCA) were measured quantitatively with cardiac function software and analyzed. RESULTS 189 patients with continuous AF who underwent radiofrequency ablation for the first time were enrolled. After 12-month follow-up with a mean follow-up time of 10.93 ± 0.16 months, 47 (24.9%) patients were confirmed to have AF recurrence. The 3 V-FAI (- 81.17 ± 4.27 vs. - 83.31 ± 4.59 HU, P = 0.005), LCX-FAI (median - 77 vs. median - 81HU, P < 0.001), EATV (median 141.14vs. median 125.39 ml, P = 0.010), and EATVI (median 70.77 vs. 66.73 ml/m2, P = 0.008) were significantly increased in the recurrence group. EATVI (OR 1.043, 95% CI 1.020-1.066) and LCX-FAI (OR 1.254, 95% CI 1.145-1.374) were two significant independent risk factors for AF recurrence. In the comparison of ROC, the predictive value of LCX-FAI (cut-off value of >- 81.5 HU, area under the curve (AUC) of 0.722) was higher than that of EATVI (cut-off value > 81.07 ml/m2, AUC of 0.630). CONCLUSION EATVI and LCX-FAI were related to recurrence of AF after ablation and have important clinical value in predicting the AF recurrence.
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Affiliation(s)
- Guo-Jing Ma
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang, 050011, Hebei Province, China
- Hebei General Hospital, Shijiazhuang, China
| | - Fu-Qian Guo
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang, 050011, Hebei Province, China
| | - Jie Hu
- The Third Hospital of Shijiazhuang City, Shijiazhuang, China
| | - Xiao-Wei Liu
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang, 050011, Hebei Province, China
| | - Chen Chen
- Hebei General Hospital, Shijiazhuang, China
| | - Bulang Gao
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang, 050011, Hebei Province, China
| | - Cai-Ying Li
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang, 050011, Hebei Province, China.
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Verhaert DVM, Linz D, Chaldoupi SM, Westra SW, den Uijl DW, Philippens S, Kerperien M, Habibi Z, Vorstermans B, ter Bekke RMA, Beukema RJ, Evertz R, Hemels MEW, Luermans JGLM, Manusama R, Lankveld TAR, van der Heijden CAJ, Bidar E, Hermans BJM, Zeemering S, Bijvoet GP, Habets J, Holtackers RJ, Mihl C, Nijveldt R, van Empel VPM, Knackstedt C, Simons SO, Buhre WFFA, Tijssen JGP, Isaacs A, Crijns HJGM, Maesen B, Vernooy K, Schotten U. Rationale and Design of the ISOLATION Study: A Multicenter Prospective Cohort Study Identifying Predictors for Successful Atrial Fibrillation Ablation in an Integrated Clinical Care and Research Pathway. Front Cardiovasc Med 2022; 9:879139. [PMID: 35879962 PMCID: PMC9307503 DOI: 10.3389/fcvm.2022.879139] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 06/08/2022] [Indexed: 11/28/2022] Open
Abstract
Introduction Continuous progress in atrial fibrillation (AF) ablation techniques has led to an increasing number of procedures with improved outcome. However, about 30-50% of patients still experience recurrences within 1 year after their ablation. Comprehensive translational research approaches integrated in clinical care pathways may improve our understanding of the complex pathophysiology of AF and improve patient selection for AF ablation. Objectives Within the "IntenSive mOlecular and eLectropathological chAracterization of patienTs undergoIng atrial fibrillatiOn ablatioN" (ISOLATION) study, we aim to identify predictors of successful AF ablation in the following domains: (1) clinical factors, (2) AF patterns, (3) anatomical characteristics, (4) electrophysiological characteristics, (5) circulating biomarkers, and (6) genetic background. Herein, the design of the ISOLATION study and the integration of all study procedures into a standardized pathway for patients undergoing AF ablation are described. Methods ISOLATION (NCT04342312) is a two-center prospective cohort study including 650 patients undergoing AF ablation. Clinical characteristics and routine clinical test results will be collected, as well as results from the following additional diagnostics: determination of body composition, pre-procedural rhythm monitoring, extended surface electrocardiogram, biomarker testing, genetic analysis, and questionnaires. A multimodality model including a combination of established predictors and novel techniques will be developed to predict ablation success. Discussion In this study, several domains will be examined to identify predictors of successful AF ablation. The results may be used to improve patient selection for invasive AF management and to tailor treatment decisions to individual patients.
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Affiliation(s)
- Dominique V. M. Verhaert
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Dominik Linz
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
- Centre for Heart Rhythm Disorders, Royal Adelaide Hospital, The University of Adelaide, Adelaide, SA, Australia
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sevasti Maria Chaldoupi
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Sjoerd W. Westra
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Dennis W. den Uijl
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Suzanne Philippens
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Mijke Kerperien
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Zarina Habibi
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Bianca Vorstermans
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Rachel M. A. ter Bekke
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Rypko J. Beukema
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Reinder Evertz
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Martin E. W. Hemels
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Justin G. L. M. Luermans
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Randolph Manusama
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Theo A. R. Lankveld
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Claudia A. J. van der Heijden
- Department of Cardiothoracic Surgery, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Elham Bidar
- Department of Cardiothoracic Surgery, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Ben J. M. Hermans
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
| | - Stef Zeemering
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
| | - Geertruida P. Bijvoet
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Jesse Habets
- Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Robert J. Holtackers
- Department of Radiology and Nuclear Medicine, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Casper Mihl
- Department of Radiology and Nuclear Medicine, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Robin Nijveldt
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Vanessa P. M. van Empel
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Christian Knackstedt
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Sami O. Simons
- Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | | | - Jan G. P. Tijssen
- Department of Cardiology, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Aaron Isaacs
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
| | - Harry J. G. M. Crijns
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Bart Maesen
- Department of Cardiothoracic Surgery, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Ulrich Schotten
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
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Mulder MJ, Kemme MJB, Hopman LHGA, Kuşgözoğlu E, Gülçiçek H, van de Ven PM, Hauer HA, Tahapary GJM, Götte MJW, van Rossum AC, Allaart CP. Comparison of the predictive value of ten risk scores for outcomes of atrial fibrillation patients undergoing radiofrequency pulmonary vein isolation. Int J Cardiol 2021; 344:103-110. [PMID: 34555444 DOI: 10.1016/j.ijcard.2021.09.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 09/13/2021] [Accepted: 09/15/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND A significant number of patients experience recurrent atrial fibrillation (AF) after ablation. Various risk scores have been described that may predict outcomes after AF ablation. In this study, we aimed to compare ten previously described risk scores with regard to their predictive value for post-ablation AF recurrence and procedural complications. METHODS A total of 482 AF patients (63% paroxysmal AF, 66% male, mean age 62 ± 9 years) undergoing initial radiofrequency pulmonary vein isolation (PVI) were included in the present analysis. Prior to ablation, all patients underwent both transthoracic echocardiography (TTE) and either cardiac CT imaging or CMR imaging. The following risk scores were calculated for each patient: APPLE, ATLAS, BASE-AF2, CAAP-AF, CHADS2, CHA2DS2-VASc, DR-FLASH, HATCH, LAGO and MB-LATER. RESULTS Median follow-up was 16 (12-31) months. AF recurrence after a 90-day blanking period was observed in 199 patients (41%), occurring after a median of 183 (124-360) days. AF recurrence was less frequent in paroxysmal AF patients compared to non-paroxysmal AF patients (34% vs. 54%, p < 0.001). Overall periprocedural complication rate was 6%. All scores, except the HATCH score, demonstrated statistically significant but poor predictive value for recurrent AF after ablation (area under curve [AUC] 0.553-0.669). CHA2DS2-VASc and CAAP-AF were the only risk scores with predictive value for procedural complications (AUC 0.616, p = 0.043; AUC 0.615, p = 0.044; respectively). CONCLUSIONS Currently available risk scores perform poorly in predicting outcomes after AF ablation. These data suggest that the utility of these scores for clinical decision-making is limited.
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Affiliation(s)
- Mark J Mulder
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Michiel J B Kemme
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Luuk H G A Hopman
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Elif Kuşgözoğlu
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Hatice Gülçiçek
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Peter M van de Ven
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Herbert A Hauer
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands; Cardiology Centers of the Netherlands, Amsterdam, the Netherlands
| | - Giovanni J M Tahapary
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands; Department of Cardiology, North West Clinics, Alkmaar, the Netherlands
| | - Marco J W Götte
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Cornelis P Allaart
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands.
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Classification of Left Atrial Diseased Tissue Burden Determined by Automated Voltage Analysis Predicts Outcomes after Ablation for Atrial Fibrillation. DISEASE MARKERS 2021; 2021:5511267. [PMID: 34257744 PMCID: PMC8245248 DOI: 10.1155/2021/5511267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 04/30/2021] [Accepted: 05/25/2021] [Indexed: 11/17/2022]
Abstract
Background The burden and persistence of atrial fibrillation (AF) have been associated with the presence and extent of left atrial (LA) fibrosis. Recent reports have implicated an association between the extent of LA fibrosis and the outcome of pulmonary vein isolation (PVI). We aimed to analyse the value of an automated scar quantification method in the prediction of success following PVI. Methods One hundred and nine consecutive patients undergoing PVI for paroxysmal or persistent AF were included in our observational study with a 2-year follow-up. Prior to PVI, patients underwent high-definition LA electroanatomical mapping, and scar burden was quantified by automated software (Voltage Histogram Analysis, CARTO 3, Biosense Webster), then classified into 4 subgroups (Dublin Classes I-IV). Recurrence rates were analysed on and off antiarrhythmic drug therapy (AAD), respectively. Results The overall success rate was 74% and 67% off AAD at 1- and 2-year follow-up, respectively. Patients with Dublin Class IV had significantly lower success rates (p = 0.008, off AAD). Dublin Class IV (OR = 2.27, p = 0.022, off AAD) and the presence of arrhythmia in the blanking period (OR = 3.28, p = 0.001, off AAD) were the only significant predictors of recurrence. The use of AAD did not affect these results. Conclusions We propose a classification of low voltage areas based on automated quantification by software during 3D mapping prior to PVI. Patients with high burden of low voltage areas (>31% of <0.5 mV, Dublin Class IV) have a higher risk of recurrence following PVI. Information gathered during electroanatomical mapping may have important prognostic value.
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O'Neill L, Floyd CN, Sim I, Whitaker J, Mukherjee R, O'Hare D, Gatzoulis M, Frigiola A, O'Neill MD, Williams SE. Percutaneous secundum atrial septal defect closure for the treatment of atrial arrhythmia in the adult: A meta-analysis. Int J Cardiol 2020; 321:104-112. [PMID: 32679141 DOI: 10.1016/j.ijcard.2020.07.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 04/24/2020] [Accepted: 07/08/2020] [Indexed: 11/20/2022]
Abstract
BACKGROUND Atrial arrhythmias are common in patients with atrial septal defects (ASD) but the effects of percutaneous closure on atrial arrhythmia prevalence is unclear. We investigated the effects of ASD device closure and the impact of age at time of closure on prevalent atrial arrythmia. METHODS Meta-analysis of studies reporting atrial arrhythmia prevalence in adult patients before and after percutaneous closure was performed. Primary outcomes were prevalence of 'all atrial arrhythmia' and atrial fibrillation alone post closure. Sub-group analysis examined the effects of closure according to age in patients; <40 years, ≥40 and ≥ 60 years. 25 studies were included. RESULTS Meta-analysis of all studies demonstrated no reduction in all atrial arrhythmia or atrial fibrillation prevalence post-closure (OR 0.855, 95% CI 0.672 to 1.087, P = .201 and OR 0.818, 95% CI 0.645 to 1.038, P = .099, respectively). A weak reduction in all atrial arrhythmia and atrial fibrillation was seen in patients ≥40 years (OR 0.77, 95% CI 0.616 to 0.979, P = .032 and OR 0.760, 95% CI 0.6 to 0.964, P = .024, respectively) but not ≥60 years (OR 0.822, 95% CI 0.593 to 1.141, P = .242 and OR 0.83, 95% CI 0.598 to 1.152, P = .266, respectively). No data were available in patients <40 years. This, and other limitations, prevents conclusive assessment of the effect of age on arrhythmia prevalence. CONCLUSIONS Overall, percutaneous ASD closure is not associated with a reduction in atrial arrhythmia prevalence in this meta-analysis. A weak benefit is seen in patients ≥40 years of age, not present in patients ≥60 years.
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Affiliation(s)
| | - Christopher N Floyd
- King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Iain Sim
- King's College London, London, United Kingdom
| | | | | | | | - Michael Gatzoulis
- Royal Brompton Hospital, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom
| | | | | | - Steven E Williams
- King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
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7
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Mehra N, Kowlgi GN, Deshmukh AJ. Predictors of Outcomes in Patients with Atrial Fibrillation: What Can Be Used Now and What Hope Is in the Future. CURRENT CARDIOVASCULAR RISK REPORTS 2020. [DOI: 10.1007/s12170-020-00645-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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8
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Bisbal F, Alarcón F, Ferrero-de-Loma-Osorio A, González-Ferrer JJ, Alonso C, Pachón M, Tizón H, Cabanas-Grandío P, Sanchez M, Benito E, Teis A, Ruiz-Granell R, Pérez-Villacastín J, Viñolas X, Arias MA, Vallés E, García-Campo E, Fernández-Lozano I, Villuendas R, Mont L. Left atrial geometry and outcome of atrial fibrillation ablation: results from the multicentre LAGO-AF study. Eur Heart J Cardiovasc Imaging 2018; 19:1002-1009. [DOI: 10.1093/ehjci/jey060] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 04/03/2018] [Indexed: 11/14/2022] Open
Affiliation(s)
- Felipe Bisbal
- Heart Institute (iCor), University Hospital Germans Trias i Pujol, Ctra Canyet s/n, Badalona, Barcelona, Spain
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco Alarcón
- Atrial Fibrillation Unit (UFA), Hospital Clinic, Universitat de Barcelona, IDIBAPS, Villarroel 170, Barcelona, Spain
| | | | - Juan Jose González-Ferrer
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
- Hospital Clinico San Carlos, Calle del Prof Martín Lagos, s/n, Madrid, Spain
| | - Concepción Alonso
- Hospital de la Santa Creu i Sant Pau, Carrer de Sant Quintí, 89, Barcelona, Spain
| | - Marta Pachón
- Hospital Virgen de la Salud, Av. de Barber, 30, Toledo, Spain
| | - Helena Tizón
- Hospital del Mar, Passeig Marîtim, 25-29, Barcelona, Spain
| | | | - Manuel Sanchez
- Hospital Puerta de Hierro, Calle Manuel de Falla, 1, Majadahonda, Madrid, Spain
| | - Eva Benito
- Atrial Fibrillation Unit (UFA), Hospital Clinic, Universitat de Barcelona, IDIBAPS, Villarroel 170, Barcelona, Spain
| | - Albert Teis
- Heart Institute (iCor), University Hospital Germans Trias i Pujol, Ctra Canyet s/n, Badalona, Barcelona, Spain
| | | | - Julián Pérez-Villacastín
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
- Hospital Clinico San Carlos, Calle del Prof Martín Lagos, s/n, Madrid, Spain
| | - Xavier Viñolas
- Hospital de la Santa Creu i Sant Pau, Carrer de Sant Quintí, 89, Barcelona, Spain
| | | | | | | | | | - Roger Villuendas
- Heart Institute (iCor), University Hospital Germans Trias i Pujol, Ctra Canyet s/n, Badalona, Barcelona, Spain
| | - Lluís Mont
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
- Atrial Fibrillation Unit (UFA), Hospital Clinic, Universitat de Barcelona, IDIBAPS, Villarroel 170, Barcelona, Spain
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O’Neill L, Harrison J, O’Neill M, Williams SE. Response to letter: ‘Bear tracks hypothesis: from atrial fibrillation to atrial fibrosis syndrome in stroke risk assessment’. Expert Rev Cardiovasc Ther 2017; 15:563. [DOI: 10.1080/14779072.2017.1355240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Louisa O’Neill
- Division of Imaging Sciences and Biomedical Imaging, King’s College London, London, United Kingdom
| | - James Harrison
- Division of Imaging Sciences and Biomedical Imaging, King’s College London, London, United Kingdom
| | - Mark O’Neill
- Division of Imaging Sciences and Biomedical Imaging, King’s College London, London, United Kingdom
| | - Steven E Williams
- Division of Imaging Sciences and Biomedical Imaging, King’s College London, London, United Kingdom
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Ozeke O, Cay S, Ozcan F, Hacili A, Topaloglu S, Aras D. Bear tracks hypothesis: from atrial fibrillation to atrial fibrosis syndrome in stroke risk assessment. Expert Rev Cardiovasc Ther 2017; 15:559-561. [DOI: 10.1080/14779072.2017.1355239] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Ozcan Ozeke
- Department of Cardiology, Health Sciences University, Turkiye Yuksek Ihtisas Training and Research Hospital, Ankara, Turkey
| | - Serkan Cay
- Department of Cardiology, Health Sciences University, Turkiye Yuksek Ihtisas Training and Research Hospital, Ankara, Turkey
| | - Firat Ozcan
- Department of Cardiology, Health Sciences University, Turkiye Yuksek Ihtisas Training and Research Hospital, Ankara, Turkey
| | - Ayten Hacili
- Department of Cardiology, Health Sciences University, Turkiye Yuksek Ihtisas Training and Research Hospital, Ankara, Turkey
| | - Serkan Topaloglu
- Department of Cardiology, Health Sciences University, Turkiye Yuksek Ihtisas Training and Research Hospital, Ankara, Turkey
| | - Dursun Aras
- Department of Cardiology, Health Sciences University, Turkiye Yuksek Ihtisas Training and Research Hospital, Ankara, Turkey
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