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- Title
A novel classification of glucose profile in pregnancy based on continuous glucose monitoring data.
- Authors
Inayama, Yoshihide; Yamanoi, Koji; Shitanaka, Shimpei; Ogura, Jumpei; Ohara, Tsutomu; Sakai, Mie; Suzuki, Haruka; Kishimoto, Ichiro; Tsunenari, Toru; Suginami, Koh
- Abstract
Aim: To investigate the glucose profile of women with and without gestational diabetes mellitus (GDM) by simultaneously analyzing several factors of continuous glucose monitoring (CGM) data. Methods: CGM was conducted for 2 weeks in the second trimester of pregnant women whose random blood glucose level was ≥100 mg/dl. A 75‐g oral glucose tolerance test was performed around day 7, and the index of hyperglycemia, relative hypoglycemia, and indices of glucose variability were extracted from CGM data. Unsupervised hierarchical clustering was performed to categorize glucose profiles of the participants. Results: CGM data were obtained from 29 women. Glucose profiles were categorized into three clusters: low glucose levels with less glucose variability group (L group, n = 7); moderate glucose levels with moderate‐to‐high glucose variability group (M group, n = 18); and high glucose levels with high glucose variability group (H group, n = 4). The waveforms of the glucose profiles were very different among the three groups. Women with GDM tended to be more frequent in the H group than in the M and L groups (75.0%, 16.7%, and 14.3%, respectively; p = 0.053). Maternal age was significantly higher and the proportion of multiparous women was significantly larger in the H group compared to L group (p = 0.002 and 0.015, respectively). Conclusions: A comprehensive analysis of CGM data could help us extract a subgroup of women with characteristics of GDM.
- Subjects
BLOOD sugar analysis; BLOOD sugar monitoring; WOMEN; BLOOD sugar; WAVE analysis; DESCRIPTIVE statistics; MATERNAL age; GESTATIONAL diabetes; SECOND trimester of pregnancy; GLUCOSE tolerance tests; CLUSTER analysis (Statistics); PREGNANCY
- Publication
Journal of Obstetrics & Gynaecology Research, 2021, Vol 47, Issue 4, p1281
- ISSN
1341-8076
- Publication type
Article
- DOI
10.1111/jog.14677