RecruitingNCT06597838

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

Sponsor

Peking University First Hospital

Enrollment

161,876 participants

Start Date

Feb 28, 2023

Study Type

OBSERVATIONAL

Conditions

Prediction Model

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

Min Age: 18 YearsMax Age: 100 Years

Inclusion Criteria1

Adult patients (18 years and older) admitted to five hospitals during the study period

Exclusion Criteria7

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.

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