Prediction of uncomplicated pregnancies in obese women: a prospective multicentre study

Abstract Background All obese pregnant women are considered at equal high risk with respect to complications in pregnancy and birth, and are commonly managed through resource-intensive care pathways. However, the identification of maternal characteristics associated with normal pregnancy outcomes co...

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Main Authors: Matias C. Vieira, Sara L. White, Nashita Patel, Paul T. Seed, Annette L. Briley, Jane Sandall, Paul Welsh, Naveed Sattar, Scott M. Nelson, Debbie A. Lawlor, Lucilla Poston, Dharmintra Pasupathy, on behalf of the UPBEAT Consortium
Format: Article
Language:English
Published: BMC 2017-11-01
Series:BMC Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12916-017-0956-8
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author Matias C. Vieira
Sara L. White
Nashita Patel
Paul T. Seed
Annette L. Briley
Jane Sandall
Paul Welsh
Naveed Sattar
Scott M. Nelson
Debbie A. Lawlor
Lucilla Poston
Dharmintra Pasupathy
on behalf of the UPBEAT Consortium
spellingShingle Matias C. Vieira
Sara L. White
Nashita Patel
Paul T. Seed
Annette L. Briley
Jane Sandall
Paul Welsh
Naveed Sattar
Scott M. Nelson
Debbie A. Lawlor
Lucilla Poston
Dharmintra Pasupathy
on behalf of the UPBEAT Consortium
Prediction of uncomplicated pregnancies in obese women: a prospective multicentre study
BMC Medicine
Obesity
Prediction
Uncomplicated pregnancy
Birth
Pregnancy outcome
Risk stratification
author_facet Matias C. Vieira
Sara L. White
Nashita Patel
Paul T. Seed
Annette L. Briley
Jane Sandall
Paul Welsh
Naveed Sattar
Scott M. Nelson
Debbie A. Lawlor
Lucilla Poston
Dharmintra Pasupathy
on behalf of the UPBEAT Consortium
author_sort Matias C. Vieira
title Prediction of uncomplicated pregnancies in obese women: a prospective multicentre study
title_short Prediction of uncomplicated pregnancies in obese women: a prospective multicentre study
title_full Prediction of uncomplicated pregnancies in obese women: a prospective multicentre study
title_fullStr Prediction of uncomplicated pregnancies in obese women: a prospective multicentre study
title_full_unstemmed Prediction of uncomplicated pregnancies in obese women: a prospective multicentre study
title_sort prediction of uncomplicated pregnancies in obese women: a prospective multicentre study
publisher BMC
series BMC Medicine
issn 1741-7015
publishDate 2017-11-01
description Abstract Background All obese pregnant women are considered at equal high risk with respect to complications in pregnancy and birth, and are commonly managed through resource-intensive care pathways. However, the identification of maternal characteristics associated with normal pregnancy outcomes could assist in the management of these pregnancies. The present study aims to identify the factors associated with uncomplicated pregnancy and birth in obese women, and to assess their predictive performance. Methods Data form obese women (BMI ≥ 30 kg/m2) with singleton pregnancies included in the UPBEAT trial were used in this analysis. Multivariable logistic regression was used to identify sociodemographic, clinical and biochemical factors at 15+0 to 18+6 weeks’ gestation associated with uncomplicated pregnancy and birth, defined as delivery of a term live-born infant without antenatal or labour complications. Predictive performance was assessed using area under the receiver operating characteristic curve (AUROC). Internal validation and calibration were also performed. Women were divided into fifths of risk and pregnancy outcomes were compared between groups. Sensitivity, specificity, and positive and negative predictive values were calculated using the upper fifth as the positive screening group. Results Amongst 1409 participants (BMI 36.4, SD 4.8 kg/m2), the prevalence of uncomplicated pregnancy and birth was 36% (505/1409). Multiparity and increased plasma adiponectin, maternal age, systolic blood pressure and HbA1c were independently associated with uncomplicated pregnancy and birth. These factors achieved an AUROC of 0.72 (0.68–0.76) and the model was well calibrated. Prevalence of gestational diabetes, preeclampsia and other hypertensive disorders, preterm birth, and postpartum haemorrhage decreased whereas spontaneous vaginal delivery increased across the fifths of increasing predicted risk of uncomplicated pregnancy and birth. Sensitivity, specificity, and positive and negative predictive values were 38%, 89%, 63% and 74%, respectively. A simpler model including clinical factors only (no biomarkers) achieved an AUROC of 0.68 (0.65–0.71), with sensitivity, specificity, and positive and negative predictive values of 31%, 86%, 56% and 69%, respectively. Conclusion Clinical factors and biomarkers can be used to help stratify pregnancy and delivery risk amongst obese pregnant women. Further studies are needed to explore alternative pathways of care for obese women demonstrating different risk profiles for uncomplicated pregnancy and birth.
topic Obesity
Prediction
Uncomplicated pregnancy
Birth
Pregnancy outcome
Risk stratification
url http://link.springer.com/article/10.1186/s12916-017-0956-8
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spelling doaj-8f843cabb81c4992a7ac39540b80028e2020-11-24T23:06:48ZengBMCBMC Medicine1741-70152017-11-0115111010.1186/s12916-017-0956-8Prediction of uncomplicated pregnancies in obese women: a prospective multicentre studyMatias C. Vieira0Sara L. White1Nashita Patel2Paul T. Seed3Annette L. Briley4Jane Sandall5Paul Welsh6Naveed Sattar7Scott M. Nelson8Debbie A. Lawlor9Lucilla Poston10Dharmintra Pasupathy11on behalf of the UPBEAT ConsortiumDepartment of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College LondonDepartment of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College LondonDepartment of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College LondonDepartment of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College LondonDepartment of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College LondonDepartment of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College LondonInstitute of Cardiovascular and Medical Sciences, University of GlasgowInstitute of Cardiovascular and Medical Sciences, University of GlasgowSchool of Medicine, University of GlasgowMRC Integrative Epidemiology Unit and School of Social and Community Medicine, University of BristolDepartment of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College LondonDepartment of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College LondonAbstract Background All obese pregnant women are considered at equal high risk with respect to complications in pregnancy and birth, and are commonly managed through resource-intensive care pathways. However, the identification of maternal characteristics associated with normal pregnancy outcomes could assist in the management of these pregnancies. The present study aims to identify the factors associated with uncomplicated pregnancy and birth in obese women, and to assess their predictive performance. Methods Data form obese women (BMI ≥ 30 kg/m2) with singleton pregnancies included in the UPBEAT trial were used in this analysis. Multivariable logistic regression was used to identify sociodemographic, clinical and biochemical factors at 15+0 to 18+6 weeks’ gestation associated with uncomplicated pregnancy and birth, defined as delivery of a term live-born infant without antenatal or labour complications. Predictive performance was assessed using area under the receiver operating characteristic curve (AUROC). Internal validation and calibration were also performed. Women were divided into fifths of risk and pregnancy outcomes were compared between groups. Sensitivity, specificity, and positive and negative predictive values were calculated using the upper fifth as the positive screening group. Results Amongst 1409 participants (BMI 36.4, SD 4.8 kg/m2), the prevalence of uncomplicated pregnancy and birth was 36% (505/1409). Multiparity and increased plasma adiponectin, maternal age, systolic blood pressure and HbA1c were independently associated with uncomplicated pregnancy and birth. These factors achieved an AUROC of 0.72 (0.68–0.76) and the model was well calibrated. Prevalence of gestational diabetes, preeclampsia and other hypertensive disorders, preterm birth, and postpartum haemorrhage decreased whereas spontaneous vaginal delivery increased across the fifths of increasing predicted risk of uncomplicated pregnancy and birth. Sensitivity, specificity, and positive and negative predictive values were 38%, 89%, 63% and 74%, respectively. A simpler model including clinical factors only (no biomarkers) achieved an AUROC of 0.68 (0.65–0.71), with sensitivity, specificity, and positive and negative predictive values of 31%, 86%, 56% and 69%, respectively. Conclusion Clinical factors and biomarkers can be used to help stratify pregnancy and delivery risk amongst obese pregnant women. Further studies are needed to explore alternative pathways of care for obese women demonstrating different risk profiles for uncomplicated pregnancy and birth.http://link.springer.com/article/10.1186/s12916-017-0956-8ObesityPredictionUncomplicated pregnancyBirthPregnancy outcomeRisk stratification