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
Sex
ALL
Min age
18 Years
Max age
100 Years
Healthy volunteers
No
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.
Primary outcome measure(s)
Predictive performance of the prediction model for Acute Kidney Injury — through study completion, varied from one to three years in different validation cohorts. Evaluated using AUC
Trial sites (1)
Facility
City
Region
Status
Peking University First Hospital
Beijing
Beijing Municipality
Recruiting
More Peking University First Hospital trials in China
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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