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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主要な著者:	Xu Sun, Jianhong Lu, Minmin Fu, Lei Zhong, Yuan Li
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2026-04-01
シリーズ:	European Journal of Medical Research
主題:	Machine learning Renal replacement therapy Alcoholic cirrhosis Acute kidney injury Predictive model
オンライン･アクセス:	https://doi.org/10.1186/s40001-026-04397-7
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