Condition: Acute Kidney Injury · Sponsor: Adam C Dziorny
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.
This description comes directly from the study's public registry record.
Adam C Dziorny, MD, PhD · 585-276-3014 · adam_dziorny@urmc.rochester.edu
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| Golisano Children's Hospital at Strong | Rochester, New York, United States | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06804200