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Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK.
Lee, Siang Ing; Hope, Holly; O'Reilly, Dermot; Kent, Lisa; Santorelli, Gillian; Subramanian, Anuradhaa; Moss, Ngawai; Azcoaga-Lorenzo, Amaya; Fagbamigbe, Adeniyi Francis; Nelson-Piercy, Catherine; Yau, Christopher; McCowan, Colin; Kennedy, Jonathan Ian; Phillips, Katherine; Singh, Megha; Mhereeg, Mohamed; Cockburn, Neil; Brocklehurst, Peter; Plachcinski, Rachel; Riley, Richard D; Thangaratinam, Shakila; Brophy, Sinead; Hemali Sudasinghe, Sudasing Pathirannehelage Buddhika; Agrawal, Utkarsh; Vowles, Zoe; Abel, Kathryn Mary; Nirantharakumar, Krishnarajah; Black, Mairead; Eastwood, Kelly-Ann.
Affiliation
  • Lee SI; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Hope H; Centre for Women's Mental Health, Faculty of Biology Medicine & Health, The University of Manchester, Manchester, UK.
  • O'Reilly D; Centre for Public Health, Queen's University Belfast, Belfast, UK.
  • Kent L; Centre for Public Health, Queen's University Belfast, Belfast, UK.
  • Santorelli G; Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK.
  • Subramanian A; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Moss N; Patient and Public Representative, London, UK.
  • Azcoaga-Lorenzo A; Division of Population and Behavioural Sciences, University of St Andrews School of Medicine, St Andrews, UK.
  • Fagbamigbe AF; Instituto de Investigación Sanitaria Fundación Jimenez Diaz, Hospital Rey Juan Carlos, Mostoles, Spain.
  • Nelson-Piercy C; Division of Population and Behavioural Sciences, University of St Andrews School of Medicine, St Andrews, UK.
  • Yau C; Department of Epidemiology and Medical Statistics, University of Ibadan College of Medicine, Ibadan, Nigeria.
  • McCowan C; Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Kennedy JI; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
  • Phillips K; Health Data Research UK, London, UK.
  • Singh M; Division of Population and Behavioural Sciences, University of St Andrews School of Medicine, St Andrews, UK.
  • Mhereeg M; Data Science, Medical School, Swansea University, Swansea, UK.
  • Cockburn N; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Brocklehurst P; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Plachcinski R; Data Science, Medical School, Swansea University, Swansea, UK.
  • Riley RD; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Thangaratinam S; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Brophy S; Patient and Public Representative, London, UK.
  • Hemali Sudasinghe SPB; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Agrawal U; WHO Collaborating Centre for Global Women's Health, University of Birmingham Institute of Metabolism and Systems Research, Birmingham, UK.
  • Vowles Z; Department of Obstetrics and Gynaecology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK.
  • Abel KM; Data Science, Medical School, Swansea University, Swansea, UK.
  • Nirantharakumar K; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Black M; Division of Population and Behavioural Sciences, University of St Andrews School of Medicine, St Andrews, UK.
  • Eastwood KA; Guy's and St Thomas' NHS Foundation Trust, London, UK.
BMJ Open ; 13(2): e068718, 2023 02 24.
Article in En | MEDLINE | ID: mdl-36828655
ABSTRACT

INTRODUCTION:

One 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

ANALYSIS:

Pregnant 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 DISSEMINATION Approval 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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pregnant Women / Mental Disorders Type of study: Diagnostic_studies / Observational_studies Aspects: Ethics Limits: Adolescent / Adult / Child / Female / Humans / Middle aged / Pregnancy Country/Region as subject: Europa Language: En Journal: BMJ Open Year: 2023 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pregnant Women / Mental Disorders Type of study: Diagnostic_studies / Observational_studies Aspects: Ethics Limits: Adolescent / Adult / Child / Female / Humans / Middle aged / Pregnancy Country/Region as subject: Europa Language: En Journal: BMJ Open Year: 2023 Document type: Article Affiliation country: United kingdom