Development and evaluation of the model for acute kidney injury in patients with cardiac arrest after successful resuscitation.

ABSTRACT:

Background

This study aims to construct a clinical prediction model and create a visual line chart depicting the risk of acute kidney injury (AKI) following resuscitation in cardiac arrest (CA) patients. Additionally, the study aims to validate the clinical predictive accuracy of the developed model.

Methods

Data were retrieved from the Dryad database, and publicly shared data were downloaded. This retrospective cohort study included 347 successfully resuscitated patients post-cardiac arrest from the Dryad database. Demographic and clinical data of patients in the database, along with their renal function during hospitalization, were included. Through data analysis, the study aimed to explore the relevant influencing factors of acute kidney injury (AKI) in patients after car

SUBMITTER: Hou S 

PROVIDER: S-EPMC11342716 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature