Jennifer M Yamamoto1, Melissa M Kallas-Koeman1, Sonia Butalia1, Abhay K Lodha2,3, Lois E Donovan1. 1. Department of Medicine, Division of Endocrinology and Metabolism, University of Calgary, Calgary, AB, Canada. 2. Section of Neonatology, Department of Pediatrics & Community Health Sciences, University of Calgary, Calgary, AB, Canada. 3. Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.
Abstract
OBJECTIVE: The objective of the study is to assess the impact of maternal glycaemic control and large-for-gestational-age (LGA) infant size on the risk of developing neonatal hypoglycaemia in offspring of women with type 1 diabetes and to determine possible predictors of neonatal hypoglycaemia and LGA. RESEARCH METHODS AND DESIGN: This retrospective cohort study evaluated pregnancies in 161 women with type 1 diabetes mellitus at a large urban centre between 2006 and 2010. Mean trimester A1c values were categorized into five groups. Multiple logistic regression analyses were used to examine predictors of neonatal hypoglycaemia and large-for-gestational-age (LGA). RESULTS: Hypoglycaemia occurred in 36.6% of neonates. There was not a linear association between trimester specific A1c and LGA. After adjusting for maternal age, body mass index (BMI), smoking and premature delivery, neonatal hypoglycaemia was not linearly associated with A1c in the first, second or third trimesters. LGA was the only significant predictor for neonatal hypoglycaemia (OR, 95% CI 2.51 [1.10, 5.70]) in logistic regression analysis that adjusted for glycaemic control, maternal age, smoking, prematurity and BMI. An elevated third trimester A1c increased the odds of LGA (1.81 [1.03, 3.18]) after adjustment for smoking, parity and maternal BMI. CONCLUSIONS: Large-for-gestational-age imparts a 2.5-fold increased odds of hypoglycaemia in neonates of women with type 1 diabetes and may be a better predictor of neonatal hypoglycaemia than maternal glycaemic control. Our data suggest that LGA neonates of women with type 1 diabetes should prompt increased surveillance for neonatal hypoglycaemia and that the presence of optimum maternal glycaemic control should not reduce this surveillance.
OBJECTIVE: The objective of the study is to assess the impact of maternal glycaemic control and large-for-gestational-age (LGA) infant size on the risk of developing neonatal hypoglycaemia in offspring of women with type 1 diabetes and to determine possible predictors of neonatal hypoglycaemia and LGA. RESEARCH METHODS AND DESIGN: This retrospective cohort study evaluated pregnancies in 161 women with type 1 diabetes mellitus at a large urban centre between 2006 and 2010. Mean trimester A1c values were categorized into five groups. Multiple logistic regression analyses were used to examine predictors of neonatal hypoglycaemia and large-for-gestational-age (LGA). RESULTS: Hypoglycaemia occurred in 36.6% of neonates. There was not a linear association between trimester specific A1c and LGA. After adjusting for maternal age, body mass index (BMI), smoking and premature delivery, neonatal hypoglycaemia was not linearly associated with A1c in the first, second or third trimesters. LGA was the only significant predictor for neonatal hypoglycaemia (OR, 95% CI 2.51 [1.10, 5.70]) in logistic regression analysis that adjusted for glycaemic control, maternal age, smoking, prematurity and BMI. An elevated third trimester A1c increased the odds of LGA (1.81 [1.03, 3.18]) after adjustment for smoking, parity and maternal BMI. CONCLUSIONS: Large-for-gestational-age imparts a 2.5-fold increased odds of hypoglycaemia in neonates of women with type 1 diabetes and may be a better predictor of neonatal hypoglycaemia than maternal glycaemic control. Our data suggest that LGA neonates of women with type 1 diabetes should prompt increased surveillance for neonatal hypoglycaemia and that the presence of optimum maternal glycaemic control should not reduce this surveillance.
Authors: Keyaria D Gray; Kathryn Dudash; Carla Escobar; Colman Freel; Tylah Harrison; Chandler McMillan; Mihai Puia-Dumitrescu; C Michael Cotten; Robert Benjamin; Reese H Clark; Daniel K Benjamin; Rachel G Greenberg Journal: J Perinatol Date: 2018-09-11 Impact factor: 3.225