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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/45426
Title: Correlation Between Third Trimester Glycemic Variability in Non-Insulin-Dependent Gestational Diabetes Mellitus and Adverse Pregnancy and Fetal Outcomes
Authors: Wanwadee Sapmee Panyakat
Chayawat Phatihattakorn
Apiradee Sriwijitkamol
Prasert Sunsaneevithayakul
Amprapha Phaophan
Aporn Phichitkanka
Faculty of Medicine, Siriraj Hospital, Mahidol University
Keywords: Chemical Engineering;Engineering;Medicine
Issue Date: 1-May-2018
Citation: Journal of Diabetes Science and Technology. Vol.12, No.3 (2018), 622-629
Abstract: © 2018, © 2018 Diabetes Technology Society. Background: Gestational diabetes mellitus (GDM) is a pregnancy-related metabolic complication. Despite optimal glycemic control from self-monitoring blood glucose (SMBG) in non-insulin-dependent GDM, variations in pregnancy outcomes persist. Glycemic variability is believed to be a factor that causes adverse pregnancy outcomes. Continuous glucose monitoring system (CGMS) detects interstitial glucose values every 5 minutes, and glycemic variability data from CGMS during the third trimester may be a predictor of fetal birth weight and pregnancy outcomes. The aim of this study was to investigate correlation between third trimester glycemic variability in non-insulin-dependent GDM and fetal birth weight. Method: This prospective study was conducted in 55 pregnant volunteers with non-insulin-dependent GDM that were recruited at 28 to 32 weeks’ gestation from the outpatient clinic of the Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital during the study period of August 1 to December 31, 2016. Patients had CGMS installed for at least 72 hours and glycemic variability data were analyzed. Results: Of 55 enrolled volunteers, the data from 47 women were included in the analysis. Mean CGMS duration was 85.5 ± 12.83 hours. No statistically significant correlation was identified between glycemic variability in third trimester and birth weight percentiles, or between third trimester CGMS parameters and pregnancy outcomes in the study. Conclusion: Based on these findings, third trimester glycemic variability data from CGMS are not a predictor of fetal birth weight percentile, and no significant association was found between CGMS parameters and adverse pregnancy outcomes; thus, CGMS is not necessary in non-insulin-dependent GDM.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042184986&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/45426
ISSN: 19322968
Appears in Collections:Scopus 2018

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