Journal Article Review Epublish
PubMed: 40428774 DOI: 10.3390/medicina61050816
Assessment of Decongestion Status Before Discharge in Acute Decompensated Heart Failure: A Review of Clinical, Biochemical, and Imaging Tools and Their Impact on Management Decisions.
Medicina (Kaunas) 61(5)
Authors: Diana-Ligia Pena, Adriana-Mihaela Ilieșiu, Justin Aurelian, Mihai Grigore, Andreea-Simona Hodorogea, Ana Ciobanu, Emma Weiss, Elisabeta Badilă, Ana-Maria Balahura
Affiliations
- Department of Cardiology, "Prof. Dr. Theodor Burghele" Clinical Hospital, 061344 Bucharest, Romania.
- Department of Cardiology, "Prof. Dr. Theodor Burghele" Clinical Hospital, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.
- Department of Urology, "Prof. Dr. Theodor Burghele" Clinical Hospital, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.
- Department of Cardiology, "Prof. Dr. Agrippa Ionescu" Emergency Clinical Hospital, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.
- Department of Cardiology, Colentina Hospital, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Abstract
Acute decompensated heart failure (ADHF) represents a major healthcare burden, with residual congestion at discharge being a critical determinant of poor outcomes. Despite its prognostic significance, the assessment of decongestion status before discharge remains suboptimal, highlighting the need for a more comprehensive evaluation approach. This descriptive review synthesizes current evidence on congestion assessment methods in ADHF, focusing on their role in discharge decision-making and prognostic value. We describe various evaluation tools, including clinical examination, biomarkers, imaging techniques, and congestion scores, presenting their integration into a practical assessment algorithm. A comprehensive algorithm for congestion assessment before discharge is presented, incorporating multimodal evaluation techniques, with the aim of highlighting the practical utility of various assessment methods in guiding treatment decisions and determining optimal discharge timing. Integration of multiple parameters provides superior accuracy in evaluating decongestion status compared to single-method approaches. A standardized, multimodal approach to congestion assessment before discharge is essential for optimal ADHF management. The proposed assessment algorithm, combining clinical, biochemical, and imaging parameters, offers a practical framework for more reliable discharge decision-making, potentially improving patient outcomes.
MeSH
Heart Failure, Heart, Algorithms