Prevalence of arrhythmia-induced cardiomyopathy: A systematic review and meta-analysis
Teodor Serban1, Tatjana Müller1, Sven Knecht1
1Department of Cardiology and Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.
Insights
Arrhythmia-induced cardiomyopathy (AiCM) is a common cause of left ventricular systolic dysfunction (LVSD) in patients with arrhythmias, affecting 8% overall and 59% of those with LVSD. Standardized diagnostic criteria are needed for proper management.
Area of Science:
- Cardiology
- Internal Medicine
Background:
- Arrhythmia-induced cardiomyopathy (AiCM) is a reversible cause of left ventricular systolic dysfunction (LVSD) linked to sustained cardiac arrhythmias.
- Historically, AiCM has been underestimated, with its true prevalence remaining largely unknown.
Purpose of the Study:
- To determine the prevalence of AiCM across diverse patient groups.
- To analyze how baseline patient characteristics influence AiCM development.
- To evaluate the diagnostic criteria employed in existing clinical research.
Main Methods:
- A systematic review and meta-analysis adhering to PRISMA guidelines.
- Searches conducted across PubMed, MEDLINE, and Embase databases.
- Quality assessment using the Newcastle-Ottawa scale and RoBINS-I tool; meta-regression for prevalence factors.
Main Results:
- 26 studies with 7331 patients were analyzed; overall AiCM prevalence was 8%, rising to 59% in LVSD cohorts.
- Prevalence varied with arrhythmia type and diagnostic criteria.
- Higher baseline heart rates and specific patient demographics (age, LVEF) were associated with AiCM.
Conclusions:
- AiCM is the leading cause of LVSD in patients experiencing arrhythmias.
- The findings underscore the critical need for uniform diagnostic standards to guide effective patient management.
Background:
Arrhythmia-induced cardiomyopathy (AiCM) is a reversible cause of left ventricular systolic dysfunction (LVSD) that arises from sustained cardiac arrhythmias. Despite its clinical significance, AiCM has traditionally been considered a rare entity, and its prevalence remains unknown.
Objective:
This study aimed to estimate the prevalence of AiCM across various patient populations, assess the impact of baseline characteristics on AiCM development, and critically evaluate the diagnostic criteria used in clinical studies.
Methods:
A systematic review and meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, with searches performed in PubMed, MEDLINE, and Embase. Studies were selected based on predefined criteria, and quality was evaluated using the Newcastle-Ottawa scale and the Risk of Bias in Non-randomized Studies of Interventions version 2. Meta-regression was used to analyze the factors influencing AiCM prevalence.
Results:
From 1149 abstracts, 26 studies involving 7331 patients (mean age 58 years; 26% women; mean left ventricular ejection fraction 46%) were included. The overall prevalence of AiCM was 8%, with a significantly higher prevalence (59%) observed in cohorts of patients with LVSD. AiCM prevalence varied across studies depending on the type of arrhythmia and the diagnostic criteria applied. Multivariable meta-regression identified significant associations between AiCM prevalence and mean left ventricular ejection fraction (odds ratio 0.94; 95% confidence interval 0.90-0.98; P = .002) and patient age (odds ratio 1.15; 95% confidence interval 1.02-1.30; P = .03). Patients with AiCM had consistently higher baseline heart rates than control groups (standardized mean difference random effects model 0.35 [0.09-0.61]; P = .01).
Conclusion:
AiCM is the most frequent etiology of LVSD in patients with arrhythmias. These findings highlight the need for standardized diagnostic criteria to ensure appropriate management.
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