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

被引:1
作者
Heslehurst, Nicola [1 ]
Vinogradov, Raya [1 ,2 ]
Nguyen, Giang T. [1 ]
Bigirumurame, Theophile [1 ]
Teare, Dawn [1 ]
Hayes, Louise [1 ]
Lennie, Susan C. [1 ]
Murtha, Victoria [2 ]
Tothill, Rebecca [2 ]
Smith, Janine [3 ]
Allotey, John [4 ,5 ]
Vale, Luke [1 ]
机构
[1] Newcastle Univ, Populat Hlth Sci Inst, Fac Med Sci, Newcastle Upon Tyne, Tyne & Wear, England
[2] Newcastle Tyne Hosp NHS Fdn Trust, Matern Serv, Newcastle Upon Tyne, Northumberland, England
[3] Janine Smith Practice, Newcastle Upon Tyne, Tyneside, England
[4] Univ Birmingham, Inst Metab & Syst Res, Birmingham, England
[5] Univ Birmingham, WHO Collaborating Ctr Global Womens Hlth, Birmingham, W Midlands, England
来源
BMJ OPEN | 2023年 / 13卷 / 09期
关键词
obstetrics; public health; obesity; health economics; BODY-MASS INDEX; MULTIVARIABLE PREDICTION MODEL; INDIVIDUAL PROGNOSIS; INTERNAL VALIDATION; VISCERAL ADIPOSITY; MATERNAL OBESITY; DIAGNOSIS TRIPOD; RISK; HEALTH; ASSOCIATION;
D O I
10.1136/bmjopen-2023-073545
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IntroductionMaternal 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 analysisThis 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 disseminationEthical 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 researchTrial registration numberISRCTN82185177.
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页数:9
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