Development and Validation of a Real-time Prediction Model for Acute Kidney Injury in Hospitalized Patients
NCT06597838 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 161876
Last updated 2024-09-19
Summary
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
- Prediction Model
Sponsors & Collaborators
-
Peking University First Hospital
lead OTHER
Principal Investigators
-
Li Yang · Peking University First Hospital
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-02-28
- Primary Completion
- 2024-10-30
- Completion
- 2024-12-30
Countries
- China
Study Locations
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