Identification of clinically relevant dysglycemia phenotypes based on continuous glucose monitoring data from youth with type 1 diabetes and elevated hemoglobin A1c.

ABSTRACT: BACKGROUND/OBJECTIVE:To identify and characterize subgroups of adolescents with type 1 diabetes (T1D) and elevated hemoglobin A1c (HbA1c) who share patterns in their continuous glucose monitoring (CGM) data as "dysglycemia phenotypes." METHODS:Data were analyzed from the Flexible Lifestyles Empowering Change randomized trial. Adolescents with T1D (13-16 years, duration >1?year) and HbA1c 8% to 13% (64-119?mmol/mol) wore blinded CGM at baseline for 7?days. Participants were clustered based on eight CGM metrics measuring hypoglycemia, hyperglycemia, and glycemic variability. Clusters were characterized by their baseline features and 18?months changes in HbA1c using adjusted mixed effects models. For comparison, participants were stratified by baseline HbA1c (?/>9.0% [75?mmol/mol]). RESULTS:The study sample included 234 adolescents (49.8% female, baseline age 14.8?±?1.1 years, baseline T1D duration 6.4?±?3.7?years, baseline HbA1c 9.6%?±?1.2%, [81?±?13?mmol/mol]). Three Dysglycemia Clusters were identified with significant differences across all CGM metrics (P?

SUBMITTER: Kahkoska AR 

PROVIDER: S-EPMC6625874 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature