Antoun Ibrahim, Layton Georgia R, Abdelrazik Ahmed, Eldesouky Mahmoud, Altoukhy Sherif, Zakkar Mustafa, Somani Riyaz, Ng G André
Department of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester LE5 4PW, UK.
Department of Cardiovascular Sciences, Clinical Science Wing, University of Leicester, Glenfield Hospital, Leicester LE1 7RH, UK.
J Cardiovasc Dev Dis. 2025 Apr 25;12(5):168. doi: 10.3390/jcdd12050168.
Atrial fibrillation (AF) is the most common sustained arrhythmia associated with significant morbidity and mortality. External direct current cardioversion (DCCV) is a cornerstone intervention for rhythm control in AF; however, its success is influenced by various patient-specific and procedural factors. This review examines the predictors of DCCV success and AF recurrence with specific focus upon demographics, biochemical, cardiovascular imaging, and P-wave parameters and their likely ability to predict procedural outcomes. Demographic factors such as age, sex, and comorbidities influence DCCV outcomes, with prolonged AF duration, obesity, and heart failure being associated with higher failure rates. Elevated biochemical markers of inflammation and fibrosis, including C-reactive protein, galectin-3, and Type III procollagen-N-peptide, were predictive of poor outcomes. Imaging parameters, particularly left atrial (LA) volume and strain, emerged as critical indicators of atrial remodelling and DCCV failure. Increased P-wave duration and dispersion on electrocardiography were associated with an increased risk of recurrence. Biphasic waveforms and antiarrhythmic drugs, such as amiodarone and flecainide, improved cardioversion success. The predictors of DCCV success and recurrence reflect the interplay of structural, biochemical, and electrical remodelling in AF. Integrating these parameters into clinical practice can guide individualised patient management and improve outcomes. Further research is needed to validate these predictors and enhance precision medicine approaches in DCCV.
心房颤动(AF)是最常见的持续性心律失常,与显著的发病率和死亡率相关。体外直流电复律(DCCV)是房颤节律控制的一项关键干预措施;然而,其成功率受多种患者特异性和操作因素的影响。本综述探讨了DCCV成功及房颤复发的预测因素,特别关注人口统计学、生化、心血管成像和P波参数及其预测操作结果的可能能力。年龄、性别和合并症等人口统计学因素会影响DCCV结果,房颤持续时间延长、肥胖和心力衰竭与更高的失败率相关。炎症和纤维化的生化标志物升高,包括C反应蛋白、半乳糖凝集素-3和III型前胶原N端肽,可预测不良结果。成像参数,特别是左心房(LA)容积和应变,成为心房重塑和DCCV失败的关键指标。心电图上P波持续时间和离散度增加与复发风险增加相关。双相波形和抗心律失常药物,如胺碘酮和氟卡尼,可提高复律成功率。DCCV成功和复发的预测因素反映了房颤中结构、生化和电重塑的相互作用。将这些参数整合到临床实践中可指导个体化患者管理并改善结果。需要进一步研究来验证这些预测因素并加强DCCV中的精准医学方法。