Identification of Clinically Relevant Dysglycemia Phenotypes Based on Continuous Glucose Monitoring Data from Youth with Type 1 Diabetes and Elevated Hemoglobin A1c

Citation

Kahkoska, Anna R.; Adair, Linda S.; Aiello, Allison E.; Burger, Kyle S.; Buse, John B.; Crandell, Jamie L.; Maahs, David M.; Nguyen, Crystal T.; Kosorok, Michael R.; & Mayer-Davis, Elizabeth J. (2019). Identification of Clinically Relevant Dysglycemia Phenotypes Based on Continuous Glucose Monitoring Data from Youth with Type 1 Diabetes and Elevated Hemoglobin A1c. Pediatric Diabetes, 20(5), 556-566. PMCID: PMC6625874

Abstract

BACKGROUND AND 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, HbA1c 8-13% (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-month 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, age 14.8+/-1.1, duration 6.4+/-3.7 years, HbA1c 9.6+/-1.2% (81+/-13 mmol/mol). Three Dysglycemia Clusters were identified with significant differences across all CGM metrics (p<0.001). Dysglycemia Cluster 3 (n=40, 17.1%) showed severe hypoglycemia and glycemic variability with moderate hyperglycemia and had a lower baseline HbA1c than Clusters 1 and 2 (p<0.001). This cluster showed increases in HbA1c over 18-mo (p-for-interaction=0.006). No other baseline characteristics were associated with Dysglycemia Clusters. High HbA1c was associated with lower pump use, greater insulin doses, more frequent blood glucose monitoring, lower motivation, and lower adherence to diabetes self-management (all p<0.05).
CONCLUSIONS: There are subgroups of adolescents with T1D for which glycemic control is challenged by different aspects of dysglycemia. Enhanced understanding of demographic, behavioral, and clinical characteristics that contribute to CGM-derived dysglycemia phenotypes may reveal strategies to improve treatment.

URL

http://dx.doi.org/10.1111/pedi.12856

Reference Type

Journal Article

Year Published

2019

Journal Title

Pediatric Diabetes

Author(s)

Kahkoska, Anna R.
Adair, Linda S.
Aiello, Allison E.
Burger, Kyle S.
Buse, John B.
Crandell, Jamie L.
Maahs, David M.
Nguyen, Crystal T.
Kosorok, Michael R.
Mayer-Davis, Elizabeth J.

PMCID

PMC6625874

ORCiD

Adair - 0000-0002-3670-8073