Article ; Online: Large-for-gestational-age (LGA) neonate predicts a 2.5-fold increased odds of neonatal hypoglycaemia in women with type 1 diabetes.
Diabetes/metabolism research and reviews
2017 Volume 33, Issue 1
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 ... ...
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 A Results: Hypoglycaemia occurred in 36.6% of neonates. There was not a linear association between trimester specific A 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. Copyright © 2016 John Wiley & Sons, Ltd. |
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MeSH term(s) | Adult ; Body Size ; Diabetes Mellitus, Type 1/physiopathology ; Diabetes, Gestational/physiopathology ; Female ; Fetal Macrosomia/complications ; Follow-Up Studies ; Gestational Age ; Humans ; Hypoglycemia/etiology ; Infant, Newborn ; Male ; Pregnancy ; Pregnancy Outcome ; Pregnancy Trimester, Second ; Retrospective Studies ; Risk Factors |
Language | English |
Publishing date | 2017-01 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 1470192-3 |
ISSN | 1520-7560 ; 1520-7552 |
ISSN (online) | 1520-7560 |
ISSN | 1520-7552 |
DOI | 10.1002/dmrr.2824 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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