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

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 patient...

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Detalles Bibliográficos
Autores principales: Lai, Chun-Fu, Liu, Jung-Hua, Tseng, Li-Jung, Tsao, Chun-Hao, Chou, Nai-Kuan, Lin, Shuei-Liong, Chen, Yung-Ming, Wu, Vin-Cent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101673/
https://www.ncbi.nlm.nih.gov/pubmed/37043222
http://dx.doi.org/10.1080/07853890.2023.2197290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101673/
https://www.ncbi.nlm.nih.gov/pubmed/37043222
http://dx.doi.org/10.1080/07853890.2023.2197290

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