Development and validation of an early acute kidney injury risk prediction model for patients with sepsis in emergency departments

Development and validation of an early acute kidney injury risk prediction model for patients with sepsis in emergency departments

In this study, we aimed to develop and validate a nomogram to predicting the risk of sepsis-associated acute kidney injury (SA-AKI) in patients admitted to emergency departments (EDs). We randomly divided a retrospective dataset of 391 patients with sepsis into a 294-person training cohort and a 97-...

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Bibliographic Details
Main Authors: Chen Lin, Siming Lin, Meng Zheng, Kexin Cai, Jing Wang, Yuqing Luo, Zhihong Lin, Shaodan Feng
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Renal Failure
Subjects:
Sepsis
acute kidney injury
prediction
nomogram
emergency department
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2024.2419523

Internet

https://www.tandfonline.com/doi/10.1080/0886022X.2024.2419523

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