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Article

Unsupervised clustering identifies sub-phenotypes and reveals novel outcome predictors in patients with dialysis-requiring sepsis-associated acute kidney injury.

Annals of medicine - 1 Dec 2023

Lai Chun-Fu, Liu Jung-Hua, Tseng Li-Jung, Tsao Chun-Hao, Chou Nai-Kuan, Lin Shuei-Liong, Chen Yung-Ming, Wu Vin-Cent

Abstract excerpt

INTRODUCTION: Heterogeneity exists in sepsis-associated acute kidney injury (SA-AKI). This study aimed to perform unsupervised consensus clustering in critically ill patients with dialysis-requiring SA-AKI. PATIENTS AND METHODS: This prospective observational cohort study included all septic patients, defined by the Sepsis-3 criteria, with dialysis-requiring SA-AKI in surgical intensive care units in Taiwan...

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Identifiers

PMID: 37043222
DOI: 10.1080/07853890.2023.2197290
PMCID: PMC10101673

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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