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Development and Validation of a Real-time Prediction Model for Acute Kidney Injury in Hospitalized Patients

StatusUnknown
PhaseNot specified
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated September 19, 2024 (before its estimated October 30, 2024 completion). Its status may not reflect the trial's current state.

Record History

  1. Changed Registry marked status Unknown (sponsor has not verified the record since Sep 2024); last known: Recruiting
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT06597838
Lead Sponsor Peking University First Hospital
Conditions
(from sponsor)		 Prediction Model
Enrollment 161,876 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov