Prediction of acute kidney injury after cardiac surgery: model development using a Chinese electronic health record dataset.

ABSTRACT:

Background

Acute kidney injury (AKI) is a major complication following cardiac surgery that substantially increases morbidity and mortality. Current diagnostic guidelines based on elevated serum creatinine and/or the presence of oliguria potentially delay its diagnosis. We presented a series of models for predicting AKI after cardiac surgery based on electronic health record data.

Methods

We enrolled 1457 adult patients who underwent cardiac surgery at Nanjing First Hospital from January 2017 to June 2019. 193 clinical features, including demographic characteristics, comorbidities and hospital evaluation, laboratory test, medication, and surgical information, were available for each patient. The number of important variables was determined using the sliding windows sequentia

SUBMITTER: Zhang H 

PROVIDER: S-EPMC8994277 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature