A Bayesian Interpretation of CABANA and Other Randomized Controlled Trials for Catheter Ablation in Patients With Atrial Fibrillation.

IF 2.3 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Alleh Nogueira, Nicole Felix, Felipe Kalil, Lucas Tramujas, Amanda Godoi, Isabele A Miyawaki, Andrea Bellavia, Filipe A Moura, Rhanderson Cardoso, André d'Avila, Gilson C Fernandes
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Abstract

Background: Catheter ablation improves symptoms and quality of life in atrial fibrillation patients, but its effect on adverse cardiovascular outcomes and mortality remains uncertain. Bayesian analysis of randomized controlled trials offers a deeper understanding of treatment effects beyond conventional p-value thresholds.

Methods: We conducted a post hoc Bayesian reanalysis of CABANA and four similar trials to estimate catheter ablation's effect on cardiovascular and survival outcomes. Using publicly available, trial-level data, we fitted ordinal Bayesian regression models to assess the impact of catheter ablation on the primary composite outcome-comprising all-cause mortality, stroke with disability, serious bleeding, and cardiac arrest-as well as mortality alone. We considered two sets of prior distributions: (1) a noninformative prior, where all effect sizes are equally probable and inference is primarily based on trial data, and (2) a treatment effect distribution derived from four trials using a random effects model.

Results: In this analysis, refined probability distributions for treatment effects were obtained by integrating data from CABANA with diverse priors through Bayes' theorem, offering a novel, nuanced probabilistic understanding of the potential impact of ablation compared with medical therapy on cardiovascular outcomes and all-cause mortality. In contrast to CABANA's original frequentist estimates, which were inconclusive, Bayesian analyses indicated probabilities of 82.6% and 81.1% that ablation is superior in reducing adverse cardiovascular outcomes and mortality, respectively. Incorporating results from four other similar trials increased the probability of improved effects on mortality to 86.0%.

Conclusions: Bayesian analysis augmented the interpretation of previously inconclusive findings, suggesting a clinically relevant probability of benefit from catheter ablation compared to medical therapy in a broad population with atrial fibrillation.

房颤患者导管消融CABANA和其他随机对照试验的贝叶斯解释。
背景:导管消融可改善房颤患者的症状和生活质量,但其对不良心血管结局和死亡率的影响仍不确定。随机对照试验的贝叶斯分析提供了超越常规p值阈值的治疗效果的更深层次的理解。方法:我们对CABANA和四个类似的试验进行了事后贝叶斯再分析,以评估导管消融对心血管和生存结果的影响。使用公开可用的试验级数据,我们拟合了有序贝叶斯回归模型,以评估导管消融对主要复合结局(包括全因死亡率、卒中伴残疾、严重出血和心脏骤停)以及单独死亡率的影响。我们考虑了两组先验分布:(1)非信息性先验,其中所有效应大小都是等概率的,推断主要基于试验数据;(2)使用随机效应模型从四个试验中得出的治疗效应分布。结果:在本分析中,通过贝叶斯定理整合CABANA与不同先验的数据,获得治疗效果的精细概率分布,为消融与药物治疗相比对心血管结局和全因死亡率的潜在影响提供了一种新颖、细致的概率理解。与CABANA最初的不确定的频率估计相反,贝叶斯分析表明,消融在减少心血管不良结局和死亡率方面分别具有82.6%和81.1%的优势。结合其他四个类似试验的结果,将改善死亡率的可能性提高到86.0%。结论:贝叶斯分析增强了对先前不确定结果的解释,提示在广泛的房颤人群中,与药物治疗相比,导管消融有临床相关的获益概率。
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来源期刊
CiteScore
5.20
自引率
14.80%
发文量
433
审稿时长
3-6 weeks
期刊介绍: Journal of Cardiovascular Electrophysiology (JCE) keeps its readership well informed of the latest developments in the study and management of arrhythmic disorders. Edited by Bradley P. Knight, M.D., and a distinguished international editorial board, JCE is the leading journal devoted to the study of the electrophysiology of the heart.
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