<?xml version="1.0" encoding="UTF-8"?>
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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.medcli.2025.107327</dc:identifier><dc:language>eng</dc:language><dc:creator>Campos-Saenz de Santamaría, Amelia</dc:creator><dc:creator>Godos-Gómez, Marc</dc:creator><dc:creator>Crespo-Aznarez, Silvia</dc:creator><dc:creator>Esterellas-Sánchez, Laura Karla</dc:creator><dc:creator>Sánchez-Marteles, Marta</dc:creator><dc:creator>Garcés-Horna, Vanesa</dc:creator><dc:creator>Giménez-López, Ignacio</dc:creator><dc:creator>Rubio-Gracia, Jorge</dc:creator><dc:title>Outcome prediction in acute decompensated heart failure using the BAN-ADHF score across LVEF: Analysis in an internal medicine cohort</dc:title><dc:identifier>ART-2026-147967</dc:identifier><dc:description>Background. The BAN-ADHF score integrates clinical, biomarker, and diuretic data to predict low diuretic efficiency and adverse events, offering a tool for individualized risk stratification. However, its performance in real-world settings remains understudied. No previous studies analyzed its usefulness across left ventricular ejection fraction (LVEF) phenotypes.
Methods. Observational and retrospective study carried out at the Internal Medicine Ward of a tertiary hospital between 2018 and 2024. Patients were classified into low (&lt;12) and high-risk (≥12) groups. The primary endpoint was all-cause mortality and/or rehospitalization for heart failure (HF) at 180 days.
Results. A total of 472 patients were eligible. The mean age was 79.6 ± 9.4 years with 47.8% female and 64.6% of HF with preserved LVEF. Based on the BAN-ADHF score, 77.1% were categorized as “low-risk”, while 22.9% were classified as “high-risk”. High-risk patients were older (p = 0.019), more frequently male (p &lt; 0.001), and had a higher comorbidity burden. At 180 days, the composite endpoint occurred in 30% of low-risk versus 64% of high-risk patients (p &lt; 0.001). Mortality was 13.5% versus 41% (p &lt; 0.001), and HF rehospitalization 42% versus 76% (p &lt; 0.001). At one year, the combined outcome was 45% versus 76% (p &lt; 0.001). High-risk status remained an independent predictor of adverse events (HR 2.8, 95% CI 2.1–3.8, p &lt; 0.001). The BAN-ADHF score demonstrated acceptable predictive capacity (C-index 0.65).
Conclusions. The BAN-ADHF score reliably identifies high-risk patients with a significantly greater incidence of adverse events, independently including readmission, mortality, and their composite at 180 days in a real-world cohort regardless LVEF. Its integration into routine care may help guide early therapeutic strategies and resource allocation.</dc:description><dc:date>2026</dc:date><dc:source>http://zaguan.unizar.es/record/168533</dc:source><dc:doi>10.1016/j.medcli.2025.107327</dc:doi><dc:identifier>http://zaguan.unizar.es/record/168533</dc:identifier><dc:identifier>oai:zaguan.unizar.es:168533</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA/B07-23R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/DGA/T71-23D</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MCIU/PID2022-139143OA-I00</dc:relation><dc:identifier.citation>Medicina clinica 166, 2 (2026), 107327</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/embargoedAccess</dc:rights></dc:dc>

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