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Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study

INTRODUCTION: Maternal obesity increases the risk of multiple maternal and infant pregnancy complications, such as gestational diabetes and pre-eclampsia. Current UK guidelines use body mass index (BMI) to identify which women require additional care due to increased risk of complications. However,...

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Autores principales: Heslehurst, Nicola, Vinogradov, Raya, Nguyen, Giang T, Bigirumurame, Theophile, Teare, Dawn, Hayes, Louise, Lennie, Susan C, Murtha, Victoria, Tothill, Rebecca, Smith, Janine, Allotey, John, Vale, Luke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503385/
https://www.ncbi.nlm.nih.gov/pubmed/37699635
http://dx.doi.org/10.1136/bmjopen-2023-073545
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author Heslehurst, Nicola
Vinogradov, Raya
Nguyen, Giang T
Bigirumurame, Theophile
Teare, Dawn
Hayes, Louise
Lennie, Susan C
Murtha, Victoria
Tothill, Rebecca
Smith, Janine
Allotey, John
Vale, Luke
author_facet Heslehurst, Nicola
Vinogradov, Raya
Nguyen, Giang T
Bigirumurame, Theophile
Teare, Dawn
Hayes, Louise
Lennie, Susan C
Murtha, Victoria
Tothill, Rebecca
Smith, Janine
Allotey, John
Vale, Luke
author_sort Heslehurst, Nicola
collection PubMed
description INTRODUCTION: Maternal obesity increases the risk of multiple maternal and infant pregnancy complications, such as gestational diabetes and pre-eclampsia. Current UK guidelines use body mass index (BMI) to identify which women require additional care due to increased risk of complications. However, BMI may not accurately predict which women will develop complications during pregnancy as it does not determine amount and distribution of adipose tissue. Some adiposity measures (eg, waist circumference, ultrasound measures of abdominal visceral fat) can better identify where body fat is stored, which may be useful in predicting those women who need additional care. METHODS AND ANALYSIS: This prospective cohort study (SHAPES, Study of How Adiposity in Pregnancy has an Effect on outcomeS) aims to evaluate the prognostic performance of adiposity measures (either alone or in combination with other adiposity, sociodemographic or clinical measures) to estimate risk of adverse pregnancy outcomes. Pregnant women (n=1400) will be recruited at their first trimester ultrasound scan (11(+2)–14(+1) weeks’) at Newcastle upon Tyne National Health Service Foundation Trust, UK. Early pregnancy adiposity measures and clinical and sociodemographic data will be collected. Routine data on maternal and infant pregnancy outcomes will be collected from routine hospital records. Regression methods will be used to compare the different adiposity measures with BMI in terms of their ability to predict pregnancy complications. If no individual measure performs better than BMI, multivariable models will be developed and evaluated to identify the most parsimonious model. The apparent performance of the developed model will be summarised using calibration, discrimination and internal validation analyses. ETHICS AND DISSEMINATION: Ethical favourable opinion has been obtained from the North East: Newcastle & North Tyneside 1 Research Ethics Committee (REC reference: 22/NE/0035). All participants provide informed consent to take part in SHAPES. Planned dissemination includes peer-reviewed publications and additional dissemination appropriate to target audiences, including policy briefs for policymakers, media/social-media coverage for public and conferences for research TRIAL REGISTRATION NUMBER: ISRCTN82185177.
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spelling pubmed-105033852023-09-16 Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study Heslehurst, Nicola Vinogradov, Raya Nguyen, Giang T Bigirumurame, Theophile Teare, Dawn Hayes, Louise Lennie, Susan C Murtha, Victoria Tothill, Rebecca Smith, Janine Allotey, John Vale, Luke BMJ Open Public Health INTRODUCTION: Maternal obesity increases the risk of multiple maternal and infant pregnancy complications, such as gestational diabetes and pre-eclampsia. Current UK guidelines use body mass index (BMI) to identify which women require additional care due to increased risk of complications. However, BMI may not accurately predict which women will develop complications during pregnancy as it does not determine amount and distribution of adipose tissue. Some adiposity measures (eg, waist circumference, ultrasound measures of abdominal visceral fat) can better identify where body fat is stored, which may be useful in predicting those women who need additional care. METHODS AND ANALYSIS: This prospective cohort study (SHAPES, Study of How Adiposity in Pregnancy has an Effect on outcomeS) aims to evaluate the prognostic performance of adiposity measures (either alone or in combination with other adiposity, sociodemographic or clinical measures) to estimate risk of adverse pregnancy outcomes. Pregnant women (n=1400) will be recruited at their first trimester ultrasound scan (11(+2)–14(+1) weeks’) at Newcastle upon Tyne National Health Service Foundation Trust, UK. Early pregnancy adiposity measures and clinical and sociodemographic data will be collected. Routine data on maternal and infant pregnancy outcomes will be collected from routine hospital records. Regression methods will be used to compare the different adiposity measures with BMI in terms of their ability to predict pregnancy complications. If no individual measure performs better than BMI, multivariable models will be developed and evaluated to identify the most parsimonious model. The apparent performance of the developed model will be summarised using calibration, discrimination and internal validation analyses. ETHICS AND DISSEMINATION: Ethical favourable opinion has been obtained from the North East: Newcastle & North Tyneside 1 Research Ethics Committee (REC reference: 22/NE/0035). All participants provide informed consent to take part in SHAPES. Planned dissemination includes peer-reviewed publications and additional dissemination appropriate to target audiences, including policy briefs for policymakers, media/social-media coverage for public and conferences for research TRIAL REGISTRATION NUMBER: ISRCTN82185177. BMJ Publishing Group 2023-09-12 /pmc/articles/PMC10503385/ /pubmed/37699635 http://dx.doi.org/10.1136/bmjopen-2023-073545 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Heslehurst, Nicola
Vinogradov, Raya
Nguyen, Giang T
Bigirumurame, Theophile
Teare, Dawn
Hayes, Louise
Lennie, Susan C
Murtha, Victoria
Tothill, Rebecca
Smith, Janine
Allotey, John
Vale, Luke
Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study
title Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study
title_full Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study
title_fullStr Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study
title_full_unstemmed Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study
title_short Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study
title_sort study of how adiposity in pregnancy has an effect on outcomes (shapes): protocol for a prospective cohort study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503385/
https://www.ncbi.nlm.nih.gov/pubmed/37699635
http://dx.doi.org/10.1136/bmjopen-2023-073545
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