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

Peking University

Status: Enrolling

Conditions: Prediction Model

Study type: Observational

Funder types: Other

Identifiers

NCT06597838

2023[069-001]

Details and patient eligibility

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.

Full 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.

Enrollment: 161,876 estimated patients

Sex: All

Ages: 18 to 100 years old

Volunteers: No Healthy Volunteers

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.