Biomarker predictors of cardiac hospitalization in chronic heart failure: a recurrent event analysis

Esther Vorovich1, Benjamin French2, Bonnie Ky2

  • 1Penn Cardiovascular Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.

Insights

Identifying heart failure patients at risk for hospitalization is key. B-type natriuretic peptide (BNP) and troponin I (TnI) best predicted cardiac hospitalizations in chronic heart failure (HF) patients.

Area of Science:

  • Cardiology
  • Biomarker Research
  • Heart Failure Management

Background:

  • Heart failure (HF) hospitalization poses significant clinical and economic burdens.
  • Predicting HF hospitalizations is crucial for proactive patient management and cost reduction.
  • Evaluating novel biomarkers for risk stratification in chronic HF is an ongoing area of research.

Purpose of the Study:

  • To assess the predictive value of nine biomarkers for cardiac hospitalization in patients with chronic heart failure.
  • To identify which biomarkers are most strongly associated with the risk of recurrent hospitalizations.
  • To explore potential differences in biomarker associations based on the etiology of heart failure.

Main Methods:

  • A multicenter cohort study included 1,512 outpatients with chronic HF.
  • A recurrent events approach was used to analyze the association between biomarkers and cardiac hospitalization.
  • Median follow-up was 4 years, during which 843 participants experienced at least one hospitalization.

Main Results:

  • B-type natriuretic peptide (BNP) and troponin I (TnI) showed the strongest association with hospitalization risk.
  • Soluble Fms-like tyrosine kinase receptor 1 (sFlt-1) also demonstrated a significant association with hospitalization.
  • Associations varied between ischemic and non-ischemic HF subgroups, suggesting etiology-specific mechanisms.

Conclusions:

  • BNP and TnI are potent predictors of cardiac hospitalization in chronic HF.
  • Etiology-dependent associations of other biomarkers suggest distinct HF exacerbation pathways.
  • sFlt-1 shows promise as a biomarker for assessing HF morbidity and risk stratification.
Abstract

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