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

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06597838

Enrollment

161876

Registered

2024-09-19

Start date

2023-02-28

Completion date

2024-12-30

Last updated

2024-09-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prediction Model

Brief 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.

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.

Interventions

None listed

Study design

Observational model

OTHER

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to 100 Years

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.

Design outcomes

Primary

Measure	Time frame	Description
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

Countries

China

Contacts

Primary ContactYuhui Zhang

451076336@qq.com+86 18813037026

Outcome results