NCT06597838

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

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 161,876 (estimated)
• Sponsor: Peking University First Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 100 Years
• Healthy volunteers: —

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.

Detailed description

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 using the machine learning technique, and then validated the performance of the prediction model across five independent, geographically distinct, different tiered hospitals in China.

Conditions

• Prediction Model

Timeline

• Start date: 2023-02-28
• Primary completion: 2024-10-30
• Completion: 2024-12-30
• First posted: 2024-09-19
• Last updated: 2024-09-19

Locations

1 site across 1 country: China