Stroke risk scores to predict hospitalization for acute decompensated heart failure in atrial fibrillation patients

Andreea Cristina Ivănescu1, Gheorghe-Andrei Dan1,2

  • 1"Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania.

Insights

The CHADS₂ and R₂CHADS₂ scores showed modest ability to predict heart failure hospitalizations in atrial fibrillation patients. While associated with risk, the clinical utility of these stroke risk scores for predicting heart failure decompensation needs further evaluation.

Area of Science:

  • Cardiology
  • Clinical Research
  • Arrhythmia Management

Background:

  • Atrial fibrillation (AF) is a common hospitalized arrhythmia associated with increased risks of mortality, stroke, and heart failure (HF).
  • Existing stroke risk scores, such as CHA₂DS₂-VASc, are widely used but their ability to predict HF decompensation in AF patients is not well-established.
  • Limited data exists on the predictive performance of stroke risk scores for acute decompensated heart failure hospitalizations in atrial fibrillation populations.

Purpose of the Study:

  • To evaluate the predictive capability of established stroke risk scores for hospitalizations due to acute decompensated heart failure (HF) in patients with atrial fibrillation (AF).
  • To determine if commonly used risk stratification tools for stroke can identify AF patients at higher risk for HF decompensation.

Main Methods:

  • A retrospective observational study was conducted on a cohort of 204 patients admitted for cardiovascular conditions.
  • The study analyzed the predictive accuracy of CHADS₂, R₂CHADS₂, and CHA₂DS₂-VASc scores for hospitalizations with acute decompensated HF in AF patients.
  • Statistical analyses included C-statistics (AUC), relative risk (RR), and correlation coefficients (r) to assess predictive performance.

Main Results:

  • CHADS₂ (AUC 0.631) and R₂CHADS₂ (AUC 0.619) demonstrated modest predictive ability for HF decompensation hospitalizations.
  • CHA₂DS₂-VASc showed a marginal correlation (AUC 0.572, p=0.09) and weaker predictive performance compared to CHADS₂ and R₂CHADS₂.
  • Higher scores (≥2) for CHADS₂ and R₂CHADS₂ were significantly associated with an increased risk of decompensated HF hospitalization (RR 2.96 and 2.41, respectively).

Conclusions:

  • The CHADS₂, R₂CHADS₂, and CHA₂DS₂-VASc scores are associated with the risk of hospitalization for decompensated HF in AF patients.
  • While showing some association, the predictive accuracy of these scores for HF decompensation was modest.
  • Further research is needed to determine the clinical utility of these stroke risk scores for predicting heart failure decompensation in AF patients.

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