Age-Stratified Mortality Impact of Atrial Fibrillation in Elderly NSTEMI Patients

TL;DR

Atrial fibrillation increases one-year mortality in elderly NSTEMI patients but not short-term mortality.

Contribution

Identifies atrial fibrillation as an independent predictor of one-year mortality in elderly NSTEMI patients.

Findings

AF was not predictive of one-month mortality in elderly NSTEMI patients.

AF was an independent predictor of one-year mortality in elderly NSTEMI patients.

Reduced creatinine clearance and left ventricular ejection fraction <50% also predicted one-year mortality.

Abstract

Objectives: Non-ST-segment elevation myocardial infarction (NSTEMI) in the elderly is frequently complicated by multiple comorbidities, which influence clinical outcomes. However, the prognostic significance of atrial fibrillation (AF) in this context remains uncertain. This study aimed to evaluate the impact of AF on short- and long-term mortality in elderly patients (≥65 years) with NSTEMI. Methods: This cross-sectional observational study included 474 NSTEMI patients aged 65 years and older. Participants were stratified into four groups based on age (65–74 vs. ≥75 years) and the presence or absence of AF. One-month and one-year all-cause mortality were assessed as the primary and secondary endpoints, respectively. Results: AF was detected in 23 (11.6%) of 199 patients aged 65–74 and in 80 (29.1%) of 275 patients aged ≥75. While one-month mortality did not differ significantly among the four groups (p = 0.514), one-year mortality showed a statistically significant difference (p < 0.001). Univariate analysis revealed that AF was not predictive of one-month mortality. In multivariate Cox regression analysis, AF, reduced creatinine clearance, and left ventricular ejection fraction <50% were identified as independent predictors of one-year mortality. Conclusion: AF is not associated with short-term mortality in elderly NSTEMI patients; however, it serves as an independent predictor of one-year mortality. These findings highlight the importance of long-term rhythm monitoring and management in this high-risk population.

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