Biomarkers for predicting rehospitalization in acute decompensated heart failure

Acute decompensated heart failure (ADHF) remains a leading cause of hospital admission and is associated with poor clinical outcomes, despite the implementation of guideline-directed medical therapy. This retrospective cohort study aimed to identify laboratory biomarkers predictive of rehospitalization in patients admitted with ADHF to a tertiary cardiac intensive care unit. A total of 100 patients were included and followed for 24 months after discharge in a euvolemic state on optimized heart failure therapy. Laboratory parameters assessed prior to discharge included NT-proBNP, high-sensitivity troponin I (hs-Tn I), hemoglobin, serum sodium, FIB-4 index, and C-reactive protein/albumin ratio. Cox proportional hazards modeling identifi ed several independent predictors of rehospitalization, with NT-proBNP demonstrating the strongest association (HR = 2.000; p = 0.045). Additional signifi cant predictors included elevated hs-TnI, reduced hemoglobin, hyponatremia, and increased FIB-4 index (all p < 0.05). Kaplan-Meier survival analysis revealed the poorest event-free survival among patients with HFrEF. These fi ndings highlight the clinical value of a multiparametric risk assessment approach at discharge, to guide individualized monitoring and therapeutic strategies in patients with ADHF.

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Publication Details

Journal
Bulgarian Cardiology
Published
2025-12-04
DOI
https://doi.org/10.3897/bgcardio.31.e173479
Primary Topic
Heart Failure Treatment and Management
Type
article
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article

Biomarkers for predicting rehospitalization in acute decompensated heart failure

Bulgarian Cardiology
Heart Failure Treatment and Management
article

Biomarkers for predicting rehospitalization in acute decompensated heart failure

article en

Abstract

Acute decompensated heart failure (ADHF) remains a leading cause of hospital admission and is associated with poor clinical outcomes, despite the implementation of guideline-directed medical therapy. This retrospective cohort study aimed to identify laboratory biomarkers predictive of rehospitalization in patients admitted with ADHF to a tertiary cardiac intensive care unit. A total of 100 patients were included and followed for 24 months after discharge in a euvolemic state on optimized heart failure therapy. Laboratory parameters assessed prior to discharge included NT-proBNP, high-sensitivity troponin I (hs-Tn I), hemoglobin, serum sodium, FIB-4 index, and C-reactive protein/albumin ratio. Cox proportional hazards modeling identifi ed several independent predictors of rehospitalization, with NT-proBNP demonstrating the strongest association (HR = 2.000; p = 0.045). Additional signifi cant predictors included elevated hs-TnI, reduced hemoglobin, hyponatremia, and increased FIB-4 index (all p < 0.05). Kaplan-Meier survival analysis revealed the poorest event-free survival among patients with HFrEF. These fi ndings highlight the clinical value of a multiparametric risk assessment approach at discharge, to guide individualized monitoring and therapeutic strategies in patients with ADHF.

Bulgarian CardiologyVol. 31(3)
Tokuda Hospital (BG), Medical University of Sofia (BG)
No poverty
Openalex Percentile: Top 34%
Heart Failure Treatment and Management
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Biomarkers for predicting rehospitalization in acute decompensated heart failure · Bulgarian Cardiology (2025) | TGRS Research Map | TGRS