Actively Recruiting
Development and Validation of a Real-time Prediction Model for Acute Kidney Injury in Hospitalized Patients
Led by Peking University First Hospital · Updated on 2024-09-19
161876
Participants Needed
1
Research Sites
95 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Early prediction of acute kidney injury (AKI) may provide a crucial opportunity for AKI prevention. To date, no prediction model targeting AKI among general hospitalized patients in developing countries has been published. We developed a simple, real-time, interpretable AKI prediction model for general hospitalized patients from a large tertiary hospital in China, and validated it across five independent, geographically distinct, different tiered hospitals.
CONDITIONS
Official Title
Development and Validation of a Real-time Prediction Model for Acute Kidney Injury in Hospitalized Patients
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adult patients (18 years and older) admitted to five hospitals during the study period
You will not qualify if you...
- Less than 2 documented serum creatinine measurements during hospitalization
- Diagnosed with end-stage renal disease (ESRD)
- Maintained on dialysis or initial serum creatinine ≥ 4.0 mg/dL at admission
- Developed acute kidney injury prior to admission or within 24 hours after admission
- Length of hospital stay shorter than 24 hours
- Underwent kidney transplantation or nephrectomy during hospitalization
- All serum creatinine measurements ≤ 0.6 mg/dL from 90 days prior to admission until discharge
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Peking University First Hospital
Beijing, Beijing Municipality, China, 100034
Actively Recruiting
Research Team
Y
Yuhui Zhang
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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