Study Status: NOT_YET_RECRUITING
Recruit Status: NOT_YET_RECRUITING
Study Type: OBSERVATIONAL
Official Title: Combining Biomarkers and Electronic Risk Scores to Predict AKI in Hospitalized Patients
Brief Summary: The study's objective is to evaluate the additive value of renal biomarkers (from blood and urine) for identifying individuals at high risk for severe acute kidney injury (AKI) above that of a novel natural language processing(NLP)-based AKI risk algorithm.
The risk algorithm is based on electronic health records (EHR) data (labs, vitals, clinical notes, and test reports).
Patients will be enrolled at the University of Chicago Medical Center and the University of Wisconsin Hospital, where the risk score will be run in real time.
The risk score will identify those patients with the highest risk for the future development of Stage 2 AKI and collect blood and urine for biomarker measurement over the subsequent 3 days.