Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK

被引：2

作者：

Lee, Siang Ing ^{[1
]}

Hope, Holly ^{[2
]}

O'Reilly, Dermot ^{[3
]}

Kent, Lisa ^{[3
]}

Santorelli, Gillian ^{[4
]}

Subramanian, Anuradhaa ^{[1
]}

Moss, Ngawai ^{[5
]}

Azcoaga-Lorenzo, Amaya ^{[6
,7
]}

Fagbamigbe, Adeniyi Francis ^{[6
,8
]}

Nelson-Piercy, Catherine ^{[9
]}

Yau, Christopher ^{[10
,11
]}

McCowan, Colin ^{[6
]}

Kennedy, Jonathan Ian ^{[12
]}

Phillips, Katherine ^{[1
]}

Singh, Megha ^{[1
]}

Mhereeg, Mohamed ^{[12
]}

Cockburn, Neil ^{[1
]}

Brocklehurst, Peter ^{[1
]}

Plachcinski, Rachel ^{[5
]}

Riley, Richard D. ^{[1
]}

Thangaratinam, Shakila ^{[13
,14
]}

Brophy, Sinead ^{[12
]}

Sudasinghe, Sudasing Pathirannehelage Buddhika Hemali ^{[1
]}

Agrawal, Utkarsh ^{[6
]}

Vowles, Zoe ^{[9
]}

Abel, Kathryn Mary ^{[2
,15
]}

Nirantharakumar, Krishnarajah ^{[1
]}

Black, Mairead ^{[16
]}

Eastwood, Kelly-Ann ^{[3
,17
]}

MuM PreDiCT

机构：

[1] Univ Birmingham, Inst Appl Hlth Res, Birmingham, England

[2] Univ Manchester, Fac Biol Med & Hlth, Ctr Womens Mental Hlth, Manchester, England

[3] Queens Univ Belfast, Ctr Publ Hlth, Belfast, North Ireland

[4] Bradford Teaching Hosp NHS Trust, Bradford Inst Hlth Res, Bradford, England

[5] Patient & Publ Representat, London, England

[6] Univ St Andrews, Sch Med, Div Populat & Behav Sci, St Andrews, Scotland

[7] Hosp Rey Juan Carlos, Inst Invest Sanit Fdn Jimenez Diaz, Mostoles, Spain

[8] Univ Ibadan, Coll Med, Dept Epidemiol & Med Stat, Ibadan, Nigeria

[9] Guys & St ThomasNHS Fdn Trust, London, England

[10] Univ Oxford, Nuffield Dept Womens & Reprod Hlth, Oxford, England

[11] Hlth Data Res UK, London, England

[12] Swansea Univ, Med Sch, Data Sci, Swansea, Wales

[13] Univ Birmingham, WHO, Collaborating Ctr Global Womens Hlth, Inst Metab & Syst Res, Birmingham, England

[14] Birmingham Womens & Childrens NHS Fdn Trust, Dept Obstet & Gynaecol, Birmingham, England

[15] Greater Manchester Mental Hlth NHS Fdn Trust, Manchester, England

[16] Univ Aberdeen, Aberdeen Ctr Womens Hlth Res, Sch Med Med Sci & Nutr, Aberdeen, Scotland

[17] Univ Hosp Bristol & Weston NHS Fdn Trust, Bristol, England

来源：

BMJ OPEN | 2023年 / 13卷 / 02期

基金：

英国工程与自然科学研究理事会; 英国经济与社会研究理事会;

关键词：

Maternal medicine; OBSTETRICS; EPIDEMIOLOGY; OBESITY;

D O I：

10.1136/bmjopen-2022-068718

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

IntroductionOne in five pregnant women has multiple pre-existing long-term conditions in the UK. Studies have shown that maternal multiple long-term conditions are associated with adverse outcomes. This observational study aims to compare maternal and child outcomes for pregnant women with multiple long-term conditions to those without multiple long-term conditions (0 or 1 long-term conditions).Methods and analysisPregnant women aged 15-49 years old with a conception date between 2000 and 2019 in the UK will be included with follow-up till 2019. The data source will be routine health records from all four UK nations (Clinical Practice Research Datalink (England), Secure Anonymised Information Linkage (Wales), Scotland routine health records and Northern Ireland Maternity System) and the Born in Bradford birth cohort. The exposure of two or more pre-existing, long-term physical or mental health conditions will be defined from a list of health conditions predetermined by women and clinicians. The association of maternal multiple long-term conditions with (a) antenatal, (b) peripartum, (c) postnatal and long-term and (d) mental health outcomes, for both women and their children will be examined. Outcomes of interest will be guided by a core outcome set. Comparisons will be made between pregnant women with and without multiple long-term conditions using modified Poisson and Cox regression. Generalised estimating equation will account for the clustering effect of women who had more than one pregnancy episode. Where appropriate, multiple imputation with chained equation will be used for missing data. Federated analysis will be conducted for each dataset and results will be pooled using random-effects meta-analyses.Ethics and disseminationApproval has been obtained from the respective data sources in each UK nation. Study findings will be submitted for publications in peer-reviewed journals and presented at key conferences.

引用

页数：10