Proof-of-concept Application of Continuous Glucose Monitoring Data Analytics to Identify Diabetes Glucotypes
Open Access
- 6 March 2023
- journal article
- research article
- Published by The Endocrine Society in Journal of the Endocrine Society
- Vol. 7 (5), bvad038
- https://doi.org/10.1210/jendso/bvad038
Abstract
Background In this proof-of-concept study we evaluated if monogenic diabetes due to mutations of the HNF-1α gene (HNF1A-MODY) has a distinctive continuous glucose monitoring (CGM) glucotype, in comparison to type 1 diabetes (T1D). Methods Using CGM data from 5 HNF1A-MODY and 115 T1D subjects we calculated multiple glucose metrics, including measures of within- and between-day variability (such as coefficient variation for each hour (CVb_1h). Results The MODY and T1D cohorts had minimum CVb_1h of 11.3 ± 4.4 and 18.0 ± 4.9, respectively (p = 0.02), and maximum CVb_1h of 33.9 ± 5.0 and 50.3 ± 10, respectively (p < 0.001). All HNF1A-MODY subjects had minimum %CVb_1h ≤ 17.3% and maximum %CVb_1h ≤ 37.1%. In contrast, only 12 of 115 T1D subjects had both a minimum and maximum %CVb_1h below these thresholds (p < 0.001). Conclusion HNF1A- MODY is characterized by a low-hourly between-day glucose variability. CGM-derived glucose metrics may have potential applicability for screening for atypical diabetes phenotypes in the T1D population.This publication has 19 references indexed in Scilit:
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