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

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorPeking University First Hospital

About this trial

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 criteria

This trial does not accept healthy volunteers

Qualifiers

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

Disqualifiers

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

Trial population

Adult patients admitted to five hospitals during the study period.

Trial design

Design model

Other

Time perspective

Retrospective

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Trial outcomes

Primary outcomes

1

Predictive performance of the prediction model for Acute Kidney Injury

Evaluated using AUC

Time frame
through study completion, varied from one to three years in different validation cohorts.

Secondary outcomes

Other outcomes

Sponsors and contacts

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