An Examination of the Glucose Management Indicator in Young Children with Type 1 Diabetes.
Document Type
Article
Publication Date
11-2022
Identifier
DOI: 10.1177/19322968211023171; PMCID: PMC9631514
Abstract
BACKGROUND: Previous studies utilizing glucose data from continuous glucose monitors (CGM) to estimate the Glucose Management Indicator (GMI) have not included young children or determined appropriate GMI formulas for young children with type 1 diabetes (T1D).
METHODS: We extracted CGM data for 215 children with T1D (0-6 years) from a repository. We defined sampling periods ranging from the 3-27 days prior to an HbA1c measurement and compared a previously established GMI formula to a young child-specific GMI equation based on the sample's CGM data. We examined associations between HbA1c, GMI values, and other CGM metrics for each sampling period.
RESULTS: The young child-specific GMI formula and the published GMI formula did not evidence significant differences when using 21-27 days of CGM data. The young child-specific GMI formula demonstrated higher correlations to laboratory HbA1c when using 18 or fewer days of CGM data. Overall, the GMI estimate and HbA1c values demonstrate a strong relationship in young children with T1D.
CONCLUSIONS: Future research studies may consider utilizing the young child-specific GMI formula if the data collection period for CGM values is under 18 days. Further, researchers and clinicians may consider changing the default number of days of data used to calculate glycemic metrics in order to maximize validity of CGM-derived metrics.
Journal Title
J Diabetes Sci Technol
Volume
16
Issue
6
First Page
1505
Last Page
1512
MeSH Keywords
Humans; Child, Preschool; Diabetes Mellitus, Type 1; Blood Glucose Self-Monitoring; Glycated Hemoglobin A; Glucose; Blood Glucose
Keywords
HbA1c; Type 1; diabetes mellitus; glucose management indicator; young child
Recommended Citation
Monzon AD, Patton SR, Clements M. An Examination of the Glucose Management Indicator in Young Children with Type 1 Diabetes. J Diabetes Sci Technol. 2022;16(6):1505-1512. doi:10.1177/19322968211023171