Identifying Pediatric Long COVID: Comparing an EHR Algorithm to Manual Review.

ABSTRACT: Long COVID, characterized by persistent or recurring symptoms post-COVID-19 infection, poses challenges for pediatric care and research due to the lack of a standardized clinical definition. Adult-focused phenotypes do not translate well to children, given developmental and physiological differences, and pediatric-specific phenotypes have not been compared with chart review.This study introduces and evaluates a pediatric-specific rule-based computable phenotype (CP) to identify long COVID using electronic health record data. We compare its performance to manual chart review.We applied the CP, composed of diagnostic codes empirically associated with long COVID, to 339,467 pediatric patients with SARS-CoV-2 infection in the RECOVER PCORnet EHR database. The CP identified 31,781 patients with

SUBMITTER: Botdorf M 

PROVIDER: S-EPMC12552067 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature