Design and validation of an automated healthcare-integrated biobanking algorithm for identification of advanced chronic kidney disease.

ABSTRACT: Healthcare-integrated biobanking (HIB) describes the collection of surplus samples from clinical routine and requires tailored algorithms for identification of adequate samples. However, identifying patients with specific conditions like chronic kidney disease (CKD) from heterogeneous real-world data remains challenging. This study develops and validates two HIB-specific algorithms for automated CKD identification based on electronic health records (EHR), enabling targeted sample collection and retrospective cohort assembly. Two logistic regression-based CKD algorithms were developed in an existing training cohort (n = 785) with high prevalence of CKD (48 %): the admissionHIB algorithm (based on laboratory values at admission) and the historyHIB algorithm (including additional previous hos

SUBMITTER: Fischer C 

PROVIDER: S-EPMC12657308 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature