Predicting atrial fibrillation after an acute coronary syndrome: insights from the BACS & BAMI study

Jaime Francisco Larre-Guerra1, Álvaro Castrillo-Capilla1, Macarena Garbayo-Bugeda1

  • 1Department of Cardiology, IIS-Fundación Jiménez Díaz, 28040, Madrid, Spain.

Insights

Fibroblast growth factor 23 (FGF23) predicts atrial fibrillation (AF) after acute coronary syndrome (ACS) in younger patients. In older patients, beta-blocker therapy may prevent AF, suggesting age-specific risk stratification.

Area of Science:

  • Cardiology
  • Endocrinology
  • Clinical Research

Background:

  • Atrial fibrillation (AF) is a common arrhythmia, particularly following acute coronary syndrome (ACS).
  • Mineral metabolism, including fibroblast growth factor 23 (FGF23), is implicated in cardiovascular health.
  • Understanding predictors of AF post-ACS is crucial for patient management.

Purpose of the Study:

  • To investigate the predictive value of FGF23 and other factors for AF development after ACS.
  • To analyze age-specific differences in AF prediction in post-ACS patients.

Main Methods:

  • The study included 1189 patients from the BACS & BAMI study.
  • Baseline data and annual monitoring were utilized.
  • Univariate and multivariate Cox analyses were performed, stratified by age (≤65 and >65 years).

Main Results:

  • AF developed in 5.5% of patients over a median follow-up of 5.44 years.
  • In patients ≤65 years, FGF23 was an independent predictor of AF (HR 1.37).
  • In patients >65 years, prior stroke increased risk (HR 2.75), and beta-blockers showed a protective effect (HR 0.42). Previous AF predicted recurrence in both age groups.

Conclusions:

  • FGF23 may predict AF post-ACS in younger patients (≤65 years).
  • Beta-blocker therapy appears protective against AF in older patients (>65 years) post-ACS.
  • Age-specific adjustments to risk models and tailored clinical strategies are warranted for post-ACS patients.
Abstract

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