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Unsupervised Clustering Identifies Sub-Phenotypes and Reveals Pre-Dialysis Hyperlactatemia as a Novel Outcome Predictor in Dialysis-Requiring Sepsis-Associated Acute Kidney Injury

2021-11-18

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold>Heterogeneity exists in sepsis-associated acute kidney injury (SA-AKI). This prospective observational cohort study aimed to perform consensus cluster analysis and investigate the clinical relevance of identified sub-phenotypes of critically ill patients with dialysis-requiring SA-AKI.<bold>Methods</bold>All septic patients with dialysis-requiring SA-AKI, defined...

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Literature Corpus work
74610cde-1e0a-57e9-92a2-40c64f1f71f1
DOI
10.21203/rs.3.rs-1058768/v1
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Unsupervised Clustering Identifies Sub-Phenotypes and Reveals Pre-Dialysis Hyperlactatemia as a Novel Outcome Predictor in Dialysis-Requiring Sepsis-Associated Acute Kidney InjuryDOI 10.21203/rs.3.rs-1058768/v1
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