Risk Stratification Tools in Acute Heart Failure and Their Roles in Personalized Follow-Up

Heart failure (HF) is a condition with a high clinical and healthcare burden. In Europe, the current incidence is approximately 5 per 1000 persons per year in the adult population, with a prevalence of 1-2%. Prognosis remains poor, with persistently high rates of mortality and hospitalization. The period immediately following hospital discharge is known as the "vulnerable phase," marked by a heightened incidence of clinical events, including a 30% chance of rehospitalization and a 10% mortality risk. Effective patient management during this time is crucial and should incorporate a risk stratification process, which is vital for designing a personalized follow-up plan and ensuring optimal resource utilization. This review aims to outline the available tools for prognostic risk stratification and propose a structured follow-up model applicable at discharge from an HF hospitalization in patients with HF with reduced ejection fraction and in patients with mildly reduced/preserved ejection fraction.

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Publication Details

Journal
Journal of Clinical Medicine
Published
2025-12-18
DOI
https://doi.org/10.3390/jcm14248937
Primary Topic
Heart Failure Treatment and Management
Type
article
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article

Risk Stratification Tools in Acute Heart Failure and Their Roles in Personalized Follow-Up

Journal of Clinical Medicine
Heart Failure Treatment and Management
article

Risk Stratification Tools in Acute Heart Failure and Their Roles in Personalized Follow-Up

article en

Abstract

Heart failure (HF) is a condition with a high clinical and healthcare burden. In Europe, the current incidence is approximately 5 per 1000 persons per year in the adult population, with a prevalence of 1-2%. Prognosis remains poor, with persistently high rates of mortality and hospitalization. The period immediately following hospital discharge is known as the "vulnerable phase," marked by a heightened incidence of clinical events, including a 30% chance of rehospitalization and a 10% mortality risk. Effective patient management during this time is crucial and should incorporate a risk stratification process, which is vital for designing a personalized follow-up plan and ensuring optimal resource utilization. This review aims to outline the available tools for prognostic risk stratification and propose a structured follow-up model applicable at discharge from an HF hospitalization in patients with HF with reduced ejection fraction and in patients with mildly reduced/preserved ejection fraction.

Journal of Clinical MedicineVol. 14(24)
Marche Polytechnic University (IT), Azienda Ospedaliera San Giovanni Addolorata (IT), Ospedale San Paolo (IT), Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda (IT), Azienda Ospedaliera San Camillo-Forlanini (IT), Associazione Nazionale Medici Cardiologi Ospedalieri (IT), AULSS 2 Marca Trevigiana (IT), Ospedale San Filippo Neri (IT), Santa Maria Nuova Hospital (IT), Ospedale Sant Antonio (IT), Ospedale di Santo Spirito (IT), Ospedale Santa Maria (IT), Azienda Ospedaliera S.Maria (IT), Ospedale Santa Maria della Misericordia di Udine (IT), Ospedale Infermi di Rimini (IT), IRCCS San Camillo Hospital (IT), Nini Hospital (LB), Ospedale Generale Regionale Francesco Miulli (IT), Carlo Forlanini Hospital (IT), Ospedale San Luigi Gonzaga (IT), Azienda Sanitaria Universitaria Integrata di Trieste (IT), Istituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione (IT), University of Milano-Bicocca (IT)
Openalex Percentile: Top 32%
Heart Failure Treatment and Management
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