Development and Validation of a Real-time Prediction Model for Acute Kidney Injury in Hospitalized Patients
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Prediction Model. Basic parameters: 18 years — 100 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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.
Detailed 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.
Primary outcome measures
- Predictive performance of the prediction model for Acute Kidney Injury [Time frame: through study completion, varied from one to three years in different validation cohorts.]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Study design
- Observational model
- Other
Study locations
China · 1 center
- Peking University First Hospital — Beijing
Identifiers
NCT: NCT06597838 · 2023[069-001]