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

被引:1
|
作者
Inayama, Yoshihide [1 ]
Yamanoi, Koji [1 ]
Shitanaka, Shimpei [1 ]
Ogura, Jumpei [1 ]
Ohara, Tsutomu [1 ]
Sakai, Mie [1 ]
Suzuki, Haruka [1 ]
Kishimoto, Ichiro [2 ]
Tsunenari, Toru [2 ]
Suginami, Koh [1 ]
机构
[1] Toyooka Publ Hosp, Dept Obstet & Gynecol, Toyooka, Hyogo, Japan
[2] Toyooka Publ Hosp, Dept Endocrinol & Diabet, Toyooka, Hyogo, Japan
关键词
blood glucose; cluster analysis; gestational diabetes; hyperglycemia; hypoglycemia;
D O I
10.1111/jog.14677
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
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.
引用
收藏
页码:1281 / 1291
页数:11
相关论文
共 50 条
  • [31] Glucose Data Classification for Diabetic Patient Monitoring
    Rghioui, Amine
    Lloret, Jaime
    Parra, Lorena
    Sendra, Sandra
    Oumnad, Abdelmajid
    APPLIED SCIENCES-BASEL, 2019, 9 (20):
  • [32] Utilizing the Ambulatory Glucose Profile to Standardize and Implement Continuous Glucose Monitoring in Clinical Practice
    Johnson, Mary L.
    Martens, Thomas W.
    Criego, Amy B.
    Carlson, Anders L.
    Simonson, Gregg D.
    Bergenstal, Richard M.
    DIABETES TECHNOLOGY & THERAPEUTICS, 2019, 21 : S17 - S25
  • [33] Continuous Glucose Monitoring in Patients with Abnormal Glucose Tolerance during Pregnancy: A Case Series
    Tonoike, Mie
    Kishimoto, Miyako
    Yamamoto, Mayumi
    Yano, Tetsu
    Noda, Mitsuhiko
    JAPANESE CLINICAL MEDICINE, 2016, 7
  • [34] Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data
    Longato, Enrico
    Acciaroli, Giada
    Facchinetti, Andrea
    Hakaste, Liisa
    Tuomi, Tiinamaija
    Maran, Alberto
    Sparacino, Giovanni
    COMPUTERS IN BIOLOGY AND MEDICINE, 2018, 96 : 141 - 146
  • [35] Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data
    Mohebbi, Ali
    Tarp, Jens M.
    Jensen, Morten L.
    Puthusserypady, Sadasivan
    Hachmann-Nielsen, Elise
    Bengtsson, Henrik
    Morup, Morten
    2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 7185 - 7188
  • [36] A classification-based fault detection method for Continuous glucose monitoring (CGM)
    Song, Guangjian
    Zhao, Chunhui
    Sun, Youxian
    PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 956 - 961
  • [37] Concept and Implementation of a Novel Continuous Glucose Monitoring Solution With Glucose Predictions on Board
    Glatzer, Timor
    Ringemann, Christian
    Militz, Daniel
    Mueller-Hoffmann, Wiebke
    JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY, 2024, 18 (05): : 1004 - 1008
  • [38] Safety and performance evaluation of a novel continuous glucose monitoring system: Lumee Glucose
    Nguyen, C.
    Tran, N. Q.
    Ma, P. T.
    Nguyen, H. T.
    Gamsey, S.
    Lepak, C.
    Cereceres, S.
    Rebrin, K.
    DIABETOLOGIA, 2021, 64 (SUPPL 1) : 285 - 285
  • [39] Beyond Mean Glucose: Development of Novel, Reproducible Continuous Glucose Monitoring Metrics
    Sartini, Joseph
    Fang, Michael
    Rooney, Mary R.
    Aurora, Rashmi
    Punjabi, Naresh
    Selvin, Elizabeth
    Coresh, Josef
    Zeger, Scott
    CIRCULATION, 2023, 147
  • [40] SOFTWARE TOOL FOR GLUCOSE VARIABILITY ANALYSIS FROM CONTINUOUS GLUCOSE MONITORING DATA
    Garcia, M.
    Fabian, L. V.
    Gomez, A. M.
    Munoz, O. M.
    DIABETES TECHNOLOGY & THERAPEUTICS, 2018, 20 : A112 - A113