Diabetes Screening in the Emergency Department: Development of a Predictive Model for Elevated Hemoglobin A1c.

ABSTRACT: Aims: We developed a prediction model for elevated hemoglobin A1c (HbA1c) among patients presenting to the emergency department (ED) at risk for diabetes to identify important factors that may influence follow-up patient care. Methods: Retrospective electronic health records data among patients screened for diabetes at the ED in May 2021 was used. The primary outcome was elevated HbA1c (≥ 5.7%). The data was divided into a derivation set (80%) and a test set (20%) stratified by elevated HbA1c. In the derivation set, we estimated the optimal significance level for backward elimination using a 10-fold cross-validation method. A final model was derived using the entire derivation set and validated on the test set. Performance statistics included C-statistic, sensitivity, specifi

SUBMITTER: Smart MH 

PROVIDER: S-EPMC11922610 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature