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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.

Sec. Cardiovascular Epidemiology and Prevention

Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1447994

Comparative Analysis of Prognostic Assessment in Hospitalized Heart Failure Patients: A Comprehensive Evaluation of KDIGO and WRF Classifications

Provisionally accepted
  • 1 Chiayi Chang Gung Memorial Hospital, Chiayi City, Taiwan
  • 2 Linkou Chang Gung Memorial Hospital, Linkou, Taiwan
  • 3 Kaohsiung Medical University, Kaohsiung, Taiwan

The final, formatted version of the article will be published soon.

    Introduction: The definition of acute kidney dysfunction in patients with acute decompensated heart failure (ADHF) remains unclear. This study aimed to compare two sets of criteria for acute kidney injury (AKI), namely, the kidney disease: improving global outcomes (KDIGO) and worsening renal function (WRF) classification, in hospitalized patients with ADHF.Methods: We utilized a multi-institutional database with 17,684 cases of hospitalizations for HF. AKI was defined using KDIGO, WRF-serum creatinine (Scr), and WRF-estimated glomerular filtration rate (eGFR) criteria. The study compared the performance of these criteria in predicting in-hospital mortality and employed logistic regression to assess associations with mortality, HF hospitalization, and major adverse kidney effects (MAKE). A sensitivity analysis was conducted to compare the modified KDIGO (mKDIGO) with the traditional AKI criteria.Results: The incidences of ADHF according to the KDIGO, WRF-Scr, and WRF-eGFR criteria were 28.6%, 29.9%, and 29.9%, respectively. KDIGO exhibited higher discriminatory power compared with WRF-Scr and WRF-eGFR for in-hospital mortality(area under the curve [AUC]:73.6% vs. 71.6% vs. 71.2%). On all definitions, ADHF was predicted to have an increase in mortality and MAKE, with mortality increasing stepwise with AKI severity. A sensitivity analysis revealed mKDIGO to be more accurate than WRF criteria for identifying in-hospital mortality and recognizing AKI early.Conclusions: In hospitalized patients with ADHF, KDIGO is a more effective predictive tool for in-hospital mortality compared with WRF classification.Integrating a newer severity-staging classification into WRF criteria may enhance their predictive association with poor prognosis and enable early intervention.

    Keywords: Acute decompensated heart failure, Acute Kidney Injury, worsening renal function, Mortality, major adverse kidney effects

    Received: 12 Jun 2024; Accepted: 18 Mar 2025.

    Copyright: © 2025 Su, Fan, Cheng, Wu, Chen, Lee, Chen, Wu, Chu and Chang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Chih-Hsiang Chang, Linkou Chang Gung Memorial Hospital, Linkou, Taiwan

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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