Development and Validation of a Model to Predict Severe Hospital-Acquired Acute Kidney Injury in Non-Critically Ill Patients.

ABSTRACT: The current models developed to predict hospital-acquired AKI (HA-AKI) in non-critically ill fail to identify the patients at risk of severe HA-AKI stage 3. To develop and externally validate a model to predict the individual probability of developing HA-AKI stage 3 through the integration of electronic health databases. Study set: 165,893 non-critically ill hospitalized patients. Using stepwise logistic regression analyses, including demography, chronic comorbidities, and exposure to risk factors prior to AKI detection, we developed a multivariate model to predict HA-AKI stage 3. This model was then externally validated in 43,569 non-critical patients admitted to the validation center. The incidence of HA-AKI stage 3 in the study set was 0.6%. Among chronic comorbidities, the highest odds

SUBMITTER: Carpio JD 

PROVIDER: S-EPMC8432169 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature