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The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births

BACKGROUND: The risk of gestational diabetes mellitus (GDM) increases substantially with increasing maternal body mass index (BMI). The aim of the present study was to evaluate the relative importance of maternal BMI and glucose levels in prediction of large-for-gestational-age (LGA) births. METHOD:...

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Autores principales: Berntorp, Kerstin, Anderberg, Eva, Claesson, Rickard, Ignell, Claes, Källén, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627395/
https://www.ncbi.nlm.nih.gov/pubmed/26514116
http://dx.doi.org/10.1186/s12884-015-0722-x
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author Berntorp, Kerstin
Anderberg, Eva
Claesson, Rickard
Ignell, Claes
Källén, Karin
author_facet Berntorp, Kerstin
Anderberg, Eva
Claesson, Rickard
Ignell, Claes
Källén, Karin
author_sort Berntorp, Kerstin
collection PubMed
description BACKGROUND: The risk of gestational diabetes mellitus (GDM) increases substantially with increasing maternal body mass index (BMI). The aim of the present study was to evaluate the relative importance of maternal BMI and glucose levels in prediction of large-for-gestational-age (LGA) births. METHOD: This observational cohort study was based on women giving birth in southern Sweden during the years 2003–2005. Information on 10 974 pregnancies was retrieved from a population-based perinatal register. A 75-g oral glucose tolerance test (OGTT) was performed in the 28 week of pregnancy for determination of the 2-h plasma glucose concentration. BMI was obtained during the first trimester. The dataset was divided into a development set and a validation set. Using the development set, multiple logistic regression analysis was used to identify maternal characteristics associated with LGA. The prediction of LGA was assessed by receiver-operating characteristic (ROC) curves, with LGA defined as birth weight > +2 standard deviations of the mean. RESULTS: In the final multivariable model including BMI, 2-h glucose level and maternal demographics, the factor most strongly associated with LGA was BMI (odds ratio 1.1, 95 % confidence interval [CI] 1.08–1.30). Based on the total dataset, the area under the ROC curve (AUC) of 2-h glucose level to predict LGA was 0.54 (95 % CI 0.48–0.60), indicating poor performance. Using the validation database, the AUC for the final multiple model was 0.69 (95 % CI 0.66–0.72), which was identical to the AUC retrieved from a model not including 2-h glucose (0.69, 95 % CI 0.66–0.72), and larger than from a model including 2-h glucose but not BMI (0.63, 95 % CI 0.60–0.67). CONCLUSIONS: Both the 2-h glucose level of the OGTT and maternal BMI had a significant effect on the risk of LGA births, but the relative contribution was higher for BMI. The findings highlight the importance of concentrating on healthy body weight in pregnant women and closer monitoring of weight during pregnancy as a strategy for reducing the risk of excessive fetal growth.
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spelling pubmed-46273952015-10-31 The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births Berntorp, Kerstin Anderberg, Eva Claesson, Rickard Ignell, Claes Källén, Karin BMC Pregnancy Childbirth Research Article BACKGROUND: The risk of gestational diabetes mellitus (GDM) increases substantially with increasing maternal body mass index (BMI). The aim of the present study was to evaluate the relative importance of maternal BMI and glucose levels in prediction of large-for-gestational-age (LGA) births. METHOD: This observational cohort study was based on women giving birth in southern Sweden during the years 2003–2005. Information on 10 974 pregnancies was retrieved from a population-based perinatal register. A 75-g oral glucose tolerance test (OGTT) was performed in the 28 week of pregnancy for determination of the 2-h plasma glucose concentration. BMI was obtained during the first trimester. The dataset was divided into a development set and a validation set. Using the development set, multiple logistic regression analysis was used to identify maternal characteristics associated with LGA. The prediction of LGA was assessed by receiver-operating characteristic (ROC) curves, with LGA defined as birth weight > +2 standard deviations of the mean. RESULTS: In the final multivariable model including BMI, 2-h glucose level and maternal demographics, the factor most strongly associated with LGA was BMI (odds ratio 1.1, 95 % confidence interval [CI] 1.08–1.30). Based on the total dataset, the area under the ROC curve (AUC) of 2-h glucose level to predict LGA was 0.54 (95 % CI 0.48–0.60), indicating poor performance. Using the validation database, the AUC for the final multiple model was 0.69 (95 % CI 0.66–0.72), which was identical to the AUC retrieved from a model not including 2-h glucose (0.69, 95 % CI 0.66–0.72), and larger than from a model including 2-h glucose but not BMI (0.63, 95 % CI 0.60–0.67). CONCLUSIONS: Both the 2-h glucose level of the OGTT and maternal BMI had a significant effect on the risk of LGA births, but the relative contribution was higher for BMI. The findings highlight the importance of concentrating on healthy body weight in pregnant women and closer monitoring of weight during pregnancy as a strategy for reducing the risk of excessive fetal growth. BioMed Central 2015-10-29 /pmc/articles/PMC4627395/ /pubmed/26514116 http://dx.doi.org/10.1186/s12884-015-0722-x Text en © Berntorp et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Berntorp, Kerstin
Anderberg, Eva
Claesson, Rickard
Ignell, Claes
Källén, Karin
The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births
title The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births
title_full The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births
title_fullStr The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births
title_full_unstemmed The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births
title_short The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births
title_sort relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627395/
https://www.ncbi.nlm.nih.gov/pubmed/26514116
http://dx.doi.org/10.1186/s12884-015-0722-x
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