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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
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 multipl...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972454/ https://www.ncbi.nlm.nih.gov/pubmed/36828655 http://dx.doi.org/10.1136/bmjopen-2022-068718 |
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author | 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 |
author_facet | 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 |
author_sort | Lee, Siang Ing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9972454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-99724542023-03-01 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 BMJ Open Obstetrics and Gynaecology 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. BMJ Publishing Group 2023-02-24 /pmc/articles/PMC9972454/ /pubmed/36828655 http://dx.doi.org/10.1136/bmjopen-2022-068718 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Obstetrics and Gynaecology 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 Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK |
title | Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK |
title_full | Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK |
title_fullStr | Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK |
title_full_unstemmed | Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK |
title_short | Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK |
title_sort | maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the uk |
topic | Obstetrics and Gynaecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972454/ https://www.ncbi.nlm.nih.gov/pubmed/36828655 http://dx.doi.org/10.1136/bmjopen-2022-068718 |
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