Combining Biomarkers and Electronic Risk Scores to Predict AKI in Hospitalized Patients
Launched by UNIVERSITY OF CHICAGO · Aug 4, 2023
Trial Information
Current as of July 21, 2025
Recruiting
Keywords
ClinConnect Summary
This clinical trial is studying how to better predict acute kidney injury (AKI) in hospitalized patients by using both new blood and urine tests, known as renal biomarkers, and an advanced computer program that analyzes patient health records. The goal is to find out if combining these two methods can help identify patients who are at a higher risk of developing severe AKI, which can be a serious complication. The trial is taking place at the University of Chicago Medical Center and the University of Wisconsin Hospital, where patients will be monitored closely for three days after their enrollment.
To be eligible for this trial, participants must be at least 18 years old and have been admitted to the hospital with a high risk score for AKI within the last 12 hours. They should also be able to understand English to give their consent. However, patients with certain conditions, like those on dialysis or with a known history of severe kidney problems, cannot participate. Those who join will have their blood and urine tested over the next few days, and the study aims to improve early detection of AKI, potentially leading to better treatment options.
Gender
ALL
Eligibility criteria
- Inclusion Criteria:
- • 1. Age ≥ 18 years
- • 2. 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).
- • 3. 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)
- • 4. 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
- Exclusion Criteria:
- • 1. Voluntary refusal or missing written consent of the patient / legal representative.
- • 2. Patients with a known history of end-stage renal disease on dialysis (including renal transplantation).
- • 3. Patients without a measured serum creatinine value during their inpatient stay.
- • 4. Patients with a creatinine \>4.0 mg/dl at the time of admission or available in the EHR from the last 6 months
- • 5. Patients with prior episode of KDIGO defined AKI during this same hospitalization- regardless of E-STOP AKI 2.0 score
- • 6. Patients with prior renal consultation during their admission.
- • 7. Patient with an E-STOP AKI 2.0 above the top 10% risk threshold more than 12 hours ago during this same hospital stay.
- • 8. Incarcerated patients
- • 9. Pregnant patients
About University Of Chicago
The University of Chicago is a prestigious research institution renowned for its commitment to advancing medical science through innovative clinical trials. With a robust infrastructure that supports multidisciplinary collaboration, the University actively engages in cutting-edge research across various therapeutic areas. Its dedicated team of experienced investigators and state-of-the-art facilities enable the University of Chicago to conduct rigorous clinical studies aimed at improving patient outcomes and translating scientific discoveries into tangible healthcare solutions. The institution prioritizes ethical standards and patient safety, ensuring that all trials adhere to the highest regulatory guidelines and best practices in clinical research.
Contacts
Jennifer Cobb
Immunology at National Institute of Allergy and Infectious Diseases (NIAID)
Locations
Chicago, Illinois, United States
Madison, Wisconsin, United States
Patients applied
Trial Officials
Jay Koyner, MD
Principal Investigator
University of Chicago
Matthew Churpek, MD,MPH,PhD
Principal Investigator
University of Wisconsin, Madison
Timeline
First submit
Trial launched
Trial updated
Estimated completion
Not reported