Development and validation of a machine learning model to predict the need for renal replacement therapy in alcoholic cirrhosis complicated by severe acute kidney injury

Abstract Background Acute kidney injury (AKI) is a severe complication in patients with alcoholic cirrhosis, often necessitating renal replacement therapy (RRT). Early risk identification for RRT is critical for timely intervention and improved outcomes. Methods This retrospective study used the Med...

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Autori principali:	Xu Sun, Jianhong Lu, Minmin Fu, Lei Zhong, Yuan Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2026-04-01
Serie:	European Journal of Medical Research
Soggetti:	Machine learning Renal replacement therapy Alcoholic cirrhosis Acute kidney injury Predictive model
Accesso online:	https://doi.org/10.1186/s40001-026-04397-7
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