Healthcare professional classification of "poor glucose control" and perinatal outcomes in pregnancies with diabetes: a retrospective cohort study.

ABSTRACT: Early birth is often recommended for "poorly controlled" diabetes; however, no guidelines define the glycemic threshold that necessitates delivery. We use natural language processing (NLP) of electronic health records to identify individuals described by healthcare professionals as having "poor glucose control" and to examine the factors and outcomes associated with this categorization RESEARCH DESIGN AND METHODS: We completed a retrospective cohort study of pregnant individuals with pre-existing and gestational diabetes mellitus from 2018 to 2019. NLP identified prespecified terms indicating "poor glucose control" in clinical notes, and a cohort analysis compared those with and without "poor glucose control" language. Clinical characteristics, objective glucose measures, and neonatal and

SUBMITTER: Gwan A 

PROVIDER: S-EPMC12382525 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature