Using biomarkers and electronic scores to predict kidney injury in hospitalized patients
Official title: Combining Biomarkers and Electronic Risk Scores to Predict AKI in Hospitalized Patients
Run by University of Chicago · NCT05988658 · Data updated 2026-11-12
This study is testing if combining blood and urine tests with a new computer risk score can better predict which hospitalized patients are at high risk for serious kidney injury.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 800 (estimated) |
| Sponsor | University of Chicago Academic / other |
| Locations | 2 sites (Chicago, Illinois and 1 other locations) |
| Status | Recruiting |
| Started | January 5, 2024 |
| Main results expected | March 1, 2027 |
| Study ends | March 1, 2028 |
| Registry record updated | September 12, 2025 |
| Trial ID | NCT05988658 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are hospitalized patients aged 18 and older who are in the top 10% risk for AKI based on the E-STOP AKI 2.0 score.
✕Probably not a fit
Patients with a known history of end-stage renal disease on dialysis or those with a creatinine level greater than 4.0 mg/dl will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to evaluate the effectiveness of combining renal biomarkers from blood and urine with a novel electronic health record-based risk algorithm to identify hospitalized patients at high risk for severe acute kidney injury (AKI). Patients will be enrolled at the University of Chicago Medical Center and the University of Wisconsin Hospital, where their risk scores will be calculated in real time. The study will involve collecting blood and urine samples over three days from patients identified as being in the top 10% risk for developing Stage 2 AKI. The goal is to determine if adding these biomarkers improves the predictive accuracy of the existing risk score.
Why it matters
Potential benefit: If successful, this approach could lead to earlier identification and intervention for patients at high risk of acute kidney injury, potentially improving patient outcomes.
How similar studies have gone: Other studies have shown promise in using electronic health records and biomarkers for risk assessment in AKI, making this approach both relevant and potentially impactful.
Who can join: the full rules
Show full inclusion / exclusion 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
Where it's running
-
University of Chicago Medical Center
Chicago, Illinois, United States Recruiting -
University of Wisconsin Hospital
Madison, Wisconsin, United States Recruiting
Study contacts
- Principal investigator: Jay Koyner, MD — University of Chicago
- Study coordinator: Jay Koyner, MD
- Email: jkoyner@uchicago.edu
- Phone: 773-702-4842
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Remote Ischemic Preconditioning at Different Times After Heart Valve Surgery
This study tests whether applying brief, controlled blood-flow restrictions to a limb at different times after heart valve surgery can help protect organs and reduce complications like kidney injury.
-
Clinical decision support to help consider SGLT2 inhibitors after AKI in type 2 diabetes
This pilot test checks if a CDS message given to clinicians can help decide whether to consider SGLT2 inhibitors for adults with type 2 diabetes who recently had acute kidney injury.
-
Biomarkers to predict CSA-AKI risk before heart surgery
This study tests new biomarkers to see if they can predict CSA-AKI risk in adults undergoing cardiovascular surgery.
-
Reducing Endotoxin Burden in Septic Shock Patients on CRRT with the oXiris Filter
This trial tests whether using the oXiris hemofilter during continuous kidney replacement helps lower endotoxin levels in adults with septic shock who need CRRT.
-
Perioperative GFR Monitoring to Predict CSA-AKI and CA-AKI
This study tests whether perioperative transcutaneous fluorescence GFR measurements can predict CSA-AKI or CA-AKI in adults undergoing cardiovascular procedures or iodine contrast exposure.
-
Restarting RAS inhibitors after AKI: a quick test in hospitalized adults
This pilot study tests whether restarting renin-angiotensin system inhibitors early after acute kidney injury is feasible and safe in hospitalized adults already using these medicines.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.