Apply to trial NCT05988658

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RecruitingDevice study

Combining Biomarkers and Electronic Risk Scores to Predict AKI in Hospitalized Patients

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 enroll at the University of Chicago Medical Center and the University of Wisconsin Hospital, where the risk score will 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.

How this works

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  2. We forward your profile to the study team

    They see only the answers needed to decide if you can be screened.

  3. The team reaches out to schedule screening

    Usually within a few business days, via the contact you give.

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