A validation study comparing existing prediction models of acute kidney injury in patients with acute heart failure
Autor: | Ya-Chung Tian, Cheng-Chia Lee, Pei-Chun Fan, Victor Chien-Chia Wu, Tao Han Lee, Jia-Jin Chen, Hsiang-Hao Hsu, Chieh-Li Yen, Chih-Hsiang Chang, George Kuo |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Male
medicine.medical_specialty Time Factors medicine.medical_treatment Science 030232 urology & nephrology 030204 cardiovascular system & hematology urologic and male genital diseases Risk Assessment Article 03 medical and health sciences 0302 clinical medicine Renal Dialysis Internal medicine Medicine Humans Stage (cooking) Dialysis Aged Retrospective Studies Aged 80 and over Heart Failure Multidisciplinary Framingham Risk Score Receiver operating characteristic business.industry Acute kidney injury Acute Kidney Injury Middle Aged Models Theoretical medicine.disease female genital diseases and pregnancy complications Risk factors Heart failure Cardiology Female Complication business Predictive modelling |
Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
ISSN: | 2045-2322 |
Popis: | Acute kidney injury (AKI) is a common complication in acute heart failure (AHF) and is associated with prolonged hospitalization and increased mortality. The aim of this study was to externally validate existing prediction models of AKI in patients with AHF. Data for 10,364 patients hospitalized for acute heart failure between 2008 and 2018 were extracted from the Chang Gung Research Database and analysed. The primary outcome of interest was AKI, defined according to the KDIGO definition. The area under the receiver operating characteristic (AUC) curve was used to assess the discrimination performance of each prediction model. Five existing prediction models were externally validated, and the Forman risk score and the prediction model reported by Wang et al. showed the most favourable discrimination and calibration performance. The Forman risk score had AUCs for discriminating AKI, AKI stage 3, and dialysis within 7 days of 0.696, 0.829, and 0.817, respectively. The Wang et al. model had AUCs for discriminating AKI, AKI stage 3, and dialysis within 7 days of 0.73, 0.858, and 0.845, respectively. The Forman risk score and the Wang et al. prediction model are simple and accurate tools for predicting AKI in patients with AHF. |
Databáze: | OpenAIRE |
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