Does atrial fibrillation predict mortality in a high-risk hypertrophic cardiomyopathy population?
Large high-risk referral hypertrophic cardiomyopathy (HCM) population
Atrial fibrillation (evaluated as an exposure/risk factor)
Absence of atrial fibrillation
Mortalityhard clinical
Atrial fibrillation is highly prevalent (approximately 20%) in high-risk HCM patients and serves as a strong, independent predictor of mortality.
Background: Atrial fibrillation ( AF ) is a common sequela of hypertrophic cardiomyopathy ( HCM ), but evidence on its prevalence, risk factors, and effect on mortality is sparse. We sought to evaluate the prevalence of AF , identify clinical and echocardiographic correlates, and assess its effect on mortality in a large high‐risk HCM population. Methods and Results: We identified HCM patients who underwent evaluation at our institution from 1975 to 2012. AF was defined by known history (either chronic or paroxysmal), electrocardiogram, or Holter monitoring at index visit. We examined clinical and echocardiographic variables in association with AF . The effect of AF on overall and cause‐specific mortality was evaluated with multivariate Cox proportional hazards models. Of 3673 patients with HCM , 650 (18%) had AF. Patients with AF were older and more symptomatic ( P <0.001). AF was less common among patients with obstructive HCM phenotype and was associated with larger left atria, higher E/e’ ratios, and worse cardiopulmonary exercise tolerance (all P values<0.001). During median (interquartile range) follow‐up of 4.1 (0.2 to 10) years, 1069 (29%) patients died. Patients with AF had worse survival compared to those without AF ( P <0.001). In multivariate analysis adjusted for established risk factors of mortality in HCM , the hazard ratio (95% confidence interval) for the effect of AF on overall mortality was 1.48 (1.27 to 1.71). AF did not have an effect on sudden or nonsudden cardiac death. Conclusions: In this large referral HCM population, approximately 1 in 5 patients had AF . AF was a strong predictor of mortality, even after adjustment for established risk factors.
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Siontis et al. (Thu,) studied this question.
synapsesocial.com/papers/69a49ddb2c251382ac68c8db — DOI: https://doi.org/10.1161/jaha.114.001002
Konstantinos C. Siontis
Electrophysiology
Jeffrey B. Geske
Structural Heart Disease
Kevin Ong
General Cardiology
Journal of the American Heart Association
Mayo Clinic in Arizona
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