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

Recruiting now

Conditions studied: Prediction Model

In brief

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.

Key facts

Study ID

NCT06597838

Run by

Peking University First Hospital

People needed

161876

Starts

2023-02-28

Expected to finish

2024-12-30

Last updated by the study team

2024-09-19

Who can join

Age: 18 and older, up to 100. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

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

You may not qualify if…

• 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.

Where it is running

• Peking University First Hospital — Beijing, Beijing Municipality, China (enrolling)

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.