A novel classification of glucose profile in pregnancy based on continuous glucose monitoring data

Autor: Yoshihide Inayama, Shimpei Shitanaka, Ichiro Kishimoto, Koji Yamanoi, Koh Suginami, Tsutomu Ohara, Toru Tsunenari, Mie Sakai, Jumpei Ogura, Haruka Suzuki
Rok vydání: 2021
Předmět:
Zdroj: Journal of Obstetrics and Gynaecology Research. 47:1281-1291
ISSN: 1447-0756
1341-8076
DOI: 10.1111/jog.14677
Popis: 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.
Databáze: OpenAIRE