Construction and validation of a risk prediction model for acute kidney injury in patients after cardiac arrest

Construction and validation of a risk prediction model for acute kidney injury in patients after cardiac arrest

Objective Identifying patients at high risk for cardiac arrest-associated acute kidney injury (CA-AKI) helps in early preventive interventions. This study aimed to establish and validate a high-risk nomogram for CA-AKI.Methods In this retrospective dataset, 339 patients after cardiac arrest (CA) wer...

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Bibliographic Details
Main Authors: Liangen Lin, Linglong Chen, Yingying Jiang, Renxian Gao, Zhang Wu, Wang Lv, Yuequn Xie
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Renal Failure
Subjects:
Cardiac arrest
acute kidney injury
independent risk factors
predictive model
nomogram
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2023.2285865

Internet

https://www.tandfonline.com/doi/10.1080/0886022X.2023.2285865

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