RecruitingNCT06804200

Prospective Validation of AKI Prediction

Prospective Validation of AKI Prediction Algorithm


Sponsor

Adam C Dziorny

Enrollment

800 participants

Start Date

Jun 25, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

The purpose of this prospective observational study is to implement, deploy, and quantify accuracy of an existing Pediatric Early AKI Risk Score algorithm. The implementation will be facilitated using a Health Level 7 (HL7) Fast Healthcare Interoperability Resource (FHIR)-based architecture. Investigators will deploy this model and store results in a manner not viewable to the clinical team caring for the patient. To determine the accuracy of the implemented prediction model, Investigators will prospectively identify patients with AKI at 72 hours following ICU admission. Investigators hypothesize that this model will prospectively detect AKI with a sensitivity \>70% and a positive predictive value \>20%, both chosen a priori as 10% improvement over the initial Pediatric AKI Risk Score tool.


Eligibility

Min Age: 30 DaysMax Age: 18 Years

Inclusion Criteria2

  • Patients admitted to the Pediatric Intensive Care Unit or Pediatric Cardiac Intensive Care Unit
  • Age \> 30 days and \< 18 years

Exclusion Criteria2

  • Discharged less than 12 hours after admission
  • AKI at 12 hours of admission by KDIGO Serum Criteria

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Locations(1)

Golisano Children's Hospital at Strong

Rochester, New York, United States

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NCT06804200


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