Combining Biomarkers and Electronic Risk Scores to Predict AKI in Hospitalized Patients
Recruiting now
Conditions studied: Acute Kidney Injury, Biomarkers
In brief
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.
Key facts
- Study ID
- NCT05988658
- Run by
- University of Chicago
- People needed
- 800
- Starts
- 2024-01-05
- Expected to finish
- 2028-03-01
- Last updated by the study team
- 2025-09-12
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Age ≥ 18 years
- E-STOP AKI 2.0 score in the top 10% of risk (historically from all hospitalized patients) within the last 12 hours. (First time across this 10% risk threshold during this hospital stay).
- Admitted to an inpatient ward, intermediate, or ICU care at the University of Chicago Medical Center (UCMC) or University of Wisconsin Health (UWHealth). (No Emergency Department patients)
- Patient or their legally authorized representative must be able to read, speak, and understand English, for the purposes of consenting. Otherwise, inclusion in this protocol will be done without regard to race, ethnic origin or gender
You may not qualify if…
- Voluntary refusal or missing written consent of the patient / legal representative.
- Patients with a known history of end-stage renal disease on dialysis (including renal transplantation).
- Patients without a measured serum creatinine value during their inpatient stay.
- Patients with a creatinine >4.0 mg/dl at the time of admission or available in the EHR from the last 6 months
- Patients with prior episode of KDIGO defined AKI during this same hospitalization- regardless of E-STOP AKI 2.0 score
- Patients with prior renal consultation during their admission.
- Patient with an E-STOP AKI 2.0 above the top 10% risk threshold more than 12 hours ago during this same hospital stay.
- Incarcerated patients
- Pregnant patients
Where it is running
- University of Chicago Medical Center — Chicago, Illinois, United States (enrolling)
- University of Wisconsin Hospital — Madison, Wisconsin, United States (enrolling)
Full record on ClinicalTrials.gov
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