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Novel machine learning-based point-score model as a non-invasive decision-making tool for infected ascites in patients with hydropic decompensated liver cirrhosis: A retrospective multicentre study.

2022-08-10

Abstract excerpt

<h4>Purpose: </h4> This study aimed to assess the distinctive features of patients with infected ascites and liver cirrhosis and develop a scoring system allowing to accurately identify patients who do not require abdominocentesis to rule out infected ascites. Methods A total of 700 episodes of patients with decompensated liver cirrhosis undergoing abdominocentesis between 2006 and 2020 were included. 532 spontan...

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Literature Corpus work
33976c3a-3e7f-5df0-bacf-4bc748560d14
DOI
10.21203/rs.3.rs-1930434/v1
Open publication

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Novel machine learning-based point-score model as a non-invasive decision-making tool for infected ascites in patients with hydropic decompensated liver cirrhosis: A retrospective multicentre study.DOI 10.21203/rs.3.rs-1930434/v1
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