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COVID-19 in Pregnancy in Scotland (COPS): protocol for an observational study using linked Scottish national data
INTRODUCTION: The effects of SARS-CoV-2 in pregnancy are not fully delineated. We will describe the incidence of COVID-19 in pregnancy at population level in Scotland, in a prospective cohort study using linked data. We will determine associations between COVID-19 and adverse pregnancy, neonatal and...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691999/ https://www.ncbi.nlm.nih.gov/pubmed/33243817 http://dx.doi.org/10.1136/bmjopen-2020-042813 |
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author | Stock, Sarah Jane McAllister, David Vasileiou, Eleftheria Simpson, Colin R Stagg, Helen R Agrawal, Utkarsh McCowan, Colin Hopkins, Leanne Donaghy, Jack Ritchie, Lewis Robertson, Chris Sheikh, Aziz Wood, Rachael |
author_facet | Stock, Sarah Jane McAllister, David Vasileiou, Eleftheria Simpson, Colin R Stagg, Helen R Agrawal, Utkarsh McCowan, Colin Hopkins, Leanne Donaghy, Jack Ritchie, Lewis Robertson, Chris Sheikh, Aziz Wood, Rachael |
author_sort | Stock, Sarah Jane |
collection | PubMed |
description | INTRODUCTION: The effects of SARS-CoV-2 in pregnancy are not fully delineated. We will describe the incidence of COVID-19 in pregnancy at population level in Scotland, in a prospective cohort study using linked data. We will determine associations between COVID-19 and adverse pregnancy, neonatal and maternal outcomes and the proportion of confirmed cases of SARS-CoV-2 infection in neonates associated with maternal COVID-19. METHODS AND ANALYSIS: Prospective cohort study using national linked data sets. We will include all women in Scotland, UK, who were pregnant on or became pregnant after, 1 March 2020 (the date of the first confirmed case of SARS-CoV-2 infection in Scotland) and all births in Scotland from 1 March 2020 onwards. Individual-level data will be extracted from data sets containing details of all livebirths, stillbirth, terminations of pregnancy and miscarriages and ectopic pregnancies treated in hospital or attending general practice. Records will be linked within the Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) platform, which includes primary care records, virology and serology results and details of COVID-19 Community Hubs and Assessment Centre contacts and deaths. We will perform analyses using definitions for confirmed, probable and possible COVID-19 and report serology results (where available). Outcomes will include congenital anomaly, miscarriage, stillbirth, termination of pregnancy, preterm birth, neonatal infection, severe maternal disease and maternal deaths. We will perform descriptive analyses and appropriate modelling, adjusting for demographic and pregnancy characteristics and the presence of comorbidities. The cohort will provide a platform for future studies of the effectiveness and safety of therapeutic interventions and immunisations for COVID-19 and their effects on childhood and developmental outcomes. ETHICS AND DISSEMINATION: COVID-19 in Pregnancy in Scotland is a substudy of EAVE II(, which has approval from the National Research Ethics Service Committee. Findings will be reported to Scottish Government, Public Health Scotland and published in peer-reviewed journals. |
format | Online Article Text |
id | pubmed-7691999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-76919992020-11-30 COVID-19 in Pregnancy in Scotland (COPS): protocol for an observational study using linked Scottish national data Stock, Sarah Jane McAllister, David Vasileiou, Eleftheria Simpson, Colin R Stagg, Helen R Agrawal, Utkarsh McCowan, Colin Hopkins, Leanne Donaghy, Jack Ritchie, Lewis Robertson, Chris Sheikh, Aziz Wood, Rachael BMJ Open Epidemiology INTRODUCTION: The effects of SARS-CoV-2 in pregnancy are not fully delineated. We will describe the incidence of COVID-19 in pregnancy at population level in Scotland, in a prospective cohort study using linked data. We will determine associations between COVID-19 and adverse pregnancy, neonatal and maternal outcomes and the proportion of confirmed cases of SARS-CoV-2 infection in neonates associated with maternal COVID-19. METHODS AND ANALYSIS: Prospective cohort study using national linked data sets. We will include all women in Scotland, UK, who were pregnant on or became pregnant after, 1 March 2020 (the date of the first confirmed case of SARS-CoV-2 infection in Scotland) and all births in Scotland from 1 March 2020 onwards. Individual-level data will be extracted from data sets containing details of all livebirths, stillbirth, terminations of pregnancy and miscarriages and ectopic pregnancies treated in hospital or attending general practice. Records will be linked within the Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) platform, which includes primary care records, virology and serology results and details of COVID-19 Community Hubs and Assessment Centre contacts and deaths. We will perform analyses using definitions for confirmed, probable and possible COVID-19 and report serology results (where available). Outcomes will include congenital anomaly, miscarriage, stillbirth, termination of pregnancy, preterm birth, neonatal infection, severe maternal disease and maternal deaths. We will perform descriptive analyses and appropriate modelling, adjusting for demographic and pregnancy characteristics and the presence of comorbidities. The cohort will provide a platform for future studies of the effectiveness and safety of therapeutic interventions and immunisations for COVID-19 and their effects on childhood and developmental outcomes. ETHICS AND DISSEMINATION: COVID-19 in Pregnancy in Scotland is a substudy of EAVE II(, which has approval from the National Research Ethics Service Committee. Findings will be reported to Scottish Government, Public Health Scotland and published in peer-reviewed journals. BMJ Publishing Group 2020-11-26 /pmc/articles/PMC7691999/ /pubmed/33243817 http://dx.doi.org/10.1136/bmjopen-2020-042813 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ 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 | Epidemiology Stock, Sarah Jane McAllister, David Vasileiou, Eleftheria Simpson, Colin R Stagg, Helen R Agrawal, Utkarsh McCowan, Colin Hopkins, Leanne Donaghy, Jack Ritchie, Lewis Robertson, Chris Sheikh, Aziz Wood, Rachael COVID-19 in Pregnancy in Scotland (COPS): protocol for an observational study using linked Scottish national data |
title | COVID-19 in Pregnancy in Scotland (COPS): protocol for an observational study using linked Scottish national data |
title_full | COVID-19 in Pregnancy in Scotland (COPS): protocol for an observational study using linked Scottish national data |
title_fullStr | COVID-19 in Pregnancy in Scotland (COPS): protocol for an observational study using linked Scottish national data |
title_full_unstemmed | COVID-19 in Pregnancy in Scotland (COPS): protocol for an observational study using linked Scottish national data |
title_short | COVID-19 in Pregnancy in Scotland (COPS): protocol for an observational study using linked Scottish national data |
title_sort | covid-19 in pregnancy in scotland (cops): protocol for an observational study using linked scottish national data |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691999/ https://www.ncbi.nlm.nih.gov/pubmed/33243817 http://dx.doi.org/10.1136/bmjopen-2020-042813 |
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