Automatic identification of unreported meals from continuous glucose monitoring data in individuals after bariatric surgery using a template matching algorithm.

ABSTRACT: Post-bariatric hypoglycemia (PBH) is a metabolic complication of individuals with obesity who have undergone bariatric surgery, characterized by rapid glycemic excursions followed by hypoglycemic events usually occurring 1-3 h post-meal. Without an approved pharmacotherapy, dietary modifications are essential for managing PBH, with continuous glucose monitoring (CGM) devices emerging as crucial tools for capturing postprandial glucose responses that can guide intervention strategies to prevent PBH. The effectiveness of such interventions is based on the availability of rich datasets, containing both CGM and meal data. However, meal information is often incomplete, being its manual recording burdensome and prone to user-related errors. In response, we proposed a template match algorithm (TM

SUBMITTER: Pellizzari E 

PROVIDER: S-EPMC11885432 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature