Publication:
Correlation Between Third Trimester Glycemic Variability in Non-Insulin-Dependent Gestational Diabetes Mellitus and Adverse Pregnancy and Fetal Outcomes

dc.contributor.authorWanwadee Sapmee Panyakaten_US
dc.contributor.authorChayawat Phatihattakornen_US
dc.contributor.authorApiradee Sriwijitkamolen_US
dc.contributor.authorPrasert Sunsaneevithayakulen_US
dc.contributor.authorAmprapha Phaophanen_US
dc.contributor.authorAporn Phichitkankaen_US
dc.contributor.otherFaculty of Medicine, Siriraj Hospital, Mahidol Universityen_US
dc.date.accessioned2019-08-23T10:45:25Z
dc.date.available2019-08-23T10:45:25Z
dc.date.issued2018-05-01en_US
dc.description.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.en_US
dc.identifier.citationJournal of Diabetes Science and Technology. Vol.12, No.3 (2018), 622-629en_US
dc.identifier.doi10.1177/1932296817752374en_US
dc.identifier.issn19322968en_US
dc.identifier.other2-s2.0-85042184986en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/45426
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042184986&origin=inwarden_US
dc.subjectChemical Engineeringen_US
dc.subjectEngineeringen_US
dc.subjectMedicineen_US
dc.titleCorrelation Between Third Trimester Glycemic Variability in Non-Insulin-Dependent Gestational Diabetes Mellitus and Adverse Pregnancy and Fetal Outcomesen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042184986&origin=inwarden_US

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