Beth S Y Lim, Qian Yang, Mahesh Choolani, Daphne S L Gardner, Yap Seng Chong, Cuilin Zhang, Shiao-Yng Chan, Ling-Jun Li
{"title":"Utilizing Continuous Glucose Monitoring for Early Detection of Gestational Diabetes Mellitus and Pregnancy Outcomes in an Asian Population.","authors":"Beth S Y Lim, Qian Yang, Mahesh Choolani, Daphne S L Gardner, Yap Seng Chong, Cuilin Zhang, Shiao-Yng Chan, Ling-Jun Li","doi":"10.2337/dc24-0944","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>We explored the potential value of continuous glucose monitoring (CGM) in early pregnancy in predicting gestational diabetes mellitus (GDM) and pregnancy outcomes.</p><p><strong>Research design and methods: </strong>The study recruited 103 multiethnic Asian pregnant women with overweight or obesity from a hospital-based, prospective cohort. All of them had worn blinded CGM devices in early pregnancy and underwent the universal GDM screening at 24-28 gestation weeks. Models were selected based on early pregnancy risk factors and CGM-derived parameters to compare their respective predictive values for GDM and pregnancy outcomes.</p><p><strong>Results: </strong>Eighteen GDM cases were ascertained. CGM-derived novel parameters demonstrated greater performance (e.g., area under the curve: 0.953 vs. 0.722) for predicting incident GDM compared with the model using traditional risks. Such novel CGM-derived parameters significantly differentiated primary cesarean and large-for-gestational age babies.</p><p><strong>Conclusions: </strong>Our data suggest CGM's potential clinical utility in the first trimester for predicting GDM and adverse pregnancy outcomes, particularly in individuals with overweight or obesity.</p>","PeriodicalId":93979,"journal":{"name":"Diabetes care","volume":" ","pages":"1916-1921"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2337/dc24-0944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: We explored the potential value of continuous glucose monitoring (CGM) in early pregnancy in predicting gestational diabetes mellitus (GDM) and pregnancy outcomes.
Research design and methods: The study recruited 103 multiethnic Asian pregnant women with overweight or obesity from a hospital-based, prospective cohort. All of them had worn blinded CGM devices in early pregnancy and underwent the universal GDM screening at 24-28 gestation weeks. Models were selected based on early pregnancy risk factors and CGM-derived parameters to compare their respective predictive values for GDM and pregnancy outcomes.
Results: Eighteen GDM cases were ascertained. CGM-derived novel parameters demonstrated greater performance (e.g., area under the curve: 0.953 vs. 0.722) for predicting incident GDM compared with the model using traditional risks. Such novel CGM-derived parameters significantly differentiated primary cesarean and large-for-gestational age babies.
Conclusions: Our data suggest CGM's potential clinical utility in the first trimester for predicting GDM and adverse pregnancy outcomes, particularly in individuals with overweight or obesity.