Guillaume Ducarme1, François Desroys du Roure2, Joséphine Grange1, Mathilde Vital1, Aurélie Le Thuaut3, Ingrid Crespin-Delcourt4. 1. Department of Obstetrics and Gynecology, Centre Hospitalier Departemental, La Roche sur Yon, France. 2. Department of Biology, Centre Hospitalier Departemental, La Roche sur Yon, France. 3. Clinical Research Center, Centre Hospitalier Departemental, La Roche sur Yon, France. 4. Department of Endocrinology, Centre Hospitalier Departemental, La Roche sur Yon, France.
Abstract
OBJECTIVE: To determine maternal and biological parameters at diagnosis of gestational diabetes mellitus (GDM) as predictors of antenatal insulin therapy (AIT) for glycemic control. METHODS: In this planned secondary analysis of a prospective observational study, we recruited women diagnosed with GDM between July 1, 2014, and October 31, 2015. Maternal and biological parameters were analyzed as predictors of AIT using multivariable logistic regression analyses. Predictive accuracy of a cut-off value for a biological predictor was determined using the area under the receiver operating characteristic curve (AUC) and the Youden index (J). RESULTS: Of 200 women included (mean gestational age 22 ± 6 weeks), 72 (36%) required AIT. No maternal characteristic was associated with AIT. Glycated hemoglobin (HbA1c; adjusted odds ratio [aOR] 3.15, 95% CI 1.03-9.69) and elevated 1-hour oral glucose tolerance test (OGTT; aOR 1.23, 95% CI 1.13-1.46) were predictors of AIT. Analyses suggested inaccurate prediction of AIT, with an optimal cut-off HbA1c value of 5.4% (J=0.14; AUC 0.58, 95% CI 0.48-0.67), and an optimal 1-hour plasma glucose OGTT value of 1.77 mg/dL (J=0.24; AUC 0.62, 95% CI 0.50-0.74). CONCLUSION: HbA1c at diagnosis of GDM and elevated 1-hour OGTT were independent predictors of AIT for glycemic control. Clinicaltrials.gov: NCT02159378.
OBJECTIVE: To determine maternal and biological parameters at diagnosis of gestational diabetes mellitus (GDM) as predictors of antenatal insulin therapy (AIT) for glycemic control. METHODS: In this planned secondary analysis of a prospective observational study, we recruited women diagnosed with GDM between July 1, 2014, and October 31, 2015. Maternal and biological parameters were analyzed as predictors of AIT using multivariable logistic regression analyses. Predictive accuracy of a cut-off value for a biological predictor was determined using the area under the receiver operating characteristic curve (AUC) and the Youden index (J). RESULTS: Of 200 women included (mean gestational age 22 ± 6 weeks), 72 (36%) required AIT. No maternal characteristic was associated with AIT. Glycated hemoglobin (HbA1c; adjusted odds ratio [aOR] 3.15, 95% CI 1.03-9.69) and elevated 1-hour oral glucose tolerance test (OGTT; aOR 1.23, 95% CI 1.13-1.46) were predictors of AIT. Analyses suggested inaccurate prediction of AIT, with an optimal cut-off HbA1c value of 5.4% (J=0.14; AUC 0.58, 95% CI 0.48-0.67), and an optimal 1-hour plasma glucose OGTT value of 1.77 mg/dL (J=0.24; AUC 0.62, 95% CI 0.50-0.74). CONCLUSION: HbA1c at diagnosis of GDM and elevated 1-hour OGTT were independent predictors of AIT for glycemic control. Clinicaltrials.gov: NCT02159378.
Authors: Carmelo Velardo; David Clifton; Steven Hamblin; Rabia Khan; Lionel Tarassenko; Lucy Mackillop Journal: J Med Internet Res Date: 2021-03-10 Impact factor: 5.428
Authors: Aida Kalok; Ming Yean Ong; Aqilah Hasrori; Ker Shing Chiang; Fatin Yazim; Salahuddin Baharuddin; Rahana Abdul Rahman; Shamsul Azhar Shah; Nor Haslinda Abd Aziz; Shuhaila Ahmad; Nor Azlin Mohamed Ismail Journal: Int J Environ Res Public Health Date: 2020-09-24 Impact factor: 3.390