Toward the standardization of big datasets of urine output for AKI analysis: a multicenter validation study.

ABSTRACT: Acute kidney injury (AKI) is a prevalent condition in ICU patients. However, inconsistencies in urine charting and guideline interpretations hinder accurate diagnosis and research. This study aimed to derive and validate a standardization for the processing of big urine output datasets to improve consistency in AKI diagnosis and staging. Using a derivation cohort from 14 ICUs at Beth Israel Deaconess Medical Center (2008-2019) and a validation cohort from an academic center in Amsterdam (2003-2016), we developed and validated an algorithm for computing hourly urine output rates and identifying oliguric AKI across its definitions. Peak AKI stages computed using the method were significantly associated with all clinical outcomes, including severity scores, serum creatinine levels, ICU and ho

SUBMITTER: Hasidim AA 

PROVIDER: S-EPMC12144275 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature