NCT06597838 Development and Validation of a Real-time Prediction Model for Acute Kidney Injury in Hospitalized Patients
| NCT ID | NCT06597838 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Peking University First Hospital |
| Condition | Prediction Model |
| Study Type | OBSERVATIONAL |
| Enrollment | 161,876 participants |
| Start Date | 2023-02-28 |
| Primary Completion | 2024-10-30 |
Trial Parameters
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Brief 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.
Eligibility Criteria
Inclusion Criteria: * Adult patients (18 years and older) admitted to five hospitals during the study period Exclusion Criteria: * Have less than 2 documented serum creatinine (Scr) measurements during hospitalization * Being diagnosed with end-stage renal disease (ESRD) * Maintained on dialysis or had an initial Scr greater than or equal to 4.0 mg/dL at admission * Developed AKI prior to admission or within 24 hours after admission * Length of stay shorter than 24 hours * Underwent kidney transplantation or nephrectomy during hospitalization * With all Scr measurements lower than or equal to 0.6 mg/dL from 90 days prior to admission until discharge.