Construction and evaluation of a risk prediction model for pulmonary infection-associated acute kidney injury in intensive care units.

ABSTRACT: Acute kidney injury (AKI) is one of the common complications of pulmonary infections. However, nomograms predicting the risk of early-onset AKI in patients with pulmonary infections have not been comprehensively researched. In this study, 3278 patients with pulmonary infection were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. These patients were randomly divided into training and validation cohorts, with the training cohort used for model building and the validation cohort used for validation. Independent risk factors for patients with pulmonary infection were determined using the least absolute shrinkage and selection operator (LASSO) method and forward stepwise logistic regression, which revealed that 11 independent risk factors for AKI in pati

SUBMITTER: Cao X 

PROVIDER: S-EPMC10582653 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature