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SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology.
OBJECTIVE: To test whether pregnant and non-pregnant women differ in COVID-19 symptom profile and severity. To extend previous investigations on hospitalized pregnant women to those who did not require hospitalization. DESIGN: Observational study prospectively collecting longitudinal (smartphone app...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444306/ https://www.ncbi.nlm.nih.gov/pubmed/32839787 http://dx.doi.org/10.1101/2020.08.17.20161760 |
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author | Molteni, Erika Astley, Christina M. Ma, Wenjie Sudre, Carole H Magee, Laura A. Murray, Benjamin Fall, Tove Gomez, Maria F. Tsereteli, Neli Franks, Paul W. Brownstein, John S. Davies, Richard Wolf, Jonathan Spector, Tim D Ourselin, Sebastien Steves, Claire J Chan, Andrew T Modat, Marc |
author_facet | Molteni, Erika Astley, Christina M. Ma, Wenjie Sudre, Carole H Magee, Laura A. Murray, Benjamin Fall, Tove Gomez, Maria F. Tsereteli, Neli Franks, Paul W. Brownstein, John S. Davies, Richard Wolf, Jonathan Spector, Tim D Ourselin, Sebastien Steves, Claire J Chan, Andrew T Modat, Marc |
author_sort | Molteni, Erika |
collection | PubMed |
description | OBJECTIVE: To test whether pregnant and non-pregnant women differ in COVID-19 symptom profile and severity. To extend previous investigations on hospitalized pregnant women to those who did not require hospitalization. DESIGN: Observational study prospectively collecting longitudinal (smartphone application interface) and cross-sectional (web-based survey) data. SETTING: Community-based self-participatory citizen surveillance in the United Kingdom, Sweden and the United States of America. POPULATION: Two female community-based cohorts aged 18–44 years. The discovery cohort was drawn from 1,170,315 UK, Sweden and USA women (79 pregnant tested positive) who self-reported status and symptoms longitudinally via smartphone. The replication cohort included 1,344,966 USA women (134 pregnant tested positive) who provided cross-sectional self-reports. METHODS: Pregnant and non-pregnant were compared for frequencies of symptoms and events, including SARS-CoV-2 testing and hospitalization rates. Multivariable regression was used to investigate symptoms severity and comorbidity effects. RESULTS: Pregnant and non-pregnant women positive for SARS-CoV-2 infection were not different in syndromic severity. Pregnant were more likely to have received testing than non-pregnant, despite reporting fewer symptoms. Pre-existing lung disease was most closely associated with the syndromic severity in pregnant hospitalized women. Heart and kidney diseases and diabetes increased risk. The most frequent symptoms among all non-hospitalized women were anosmia [63% pregnant, 92% non-pregnant] and headache [72%, 62%]. Cardiopulmonary symptoms, including persistent cough [80%] and chest pain [73%], were more frequent among pregnant women who were hospitalized. CONCLUSIONS: Symptom characteristics and severity were comparable among pregnant and non-pregnant women, except for gastrointestinal symptoms. Consistent with observations in non-pregnant populations, lung disease and diabetes were associated with increased risk of more severe SARS-CoV-2 infection during pregnancy. |
format | Online Article Text |
id | pubmed-7444306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-74443062020-08-25 SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. Molteni, Erika Astley, Christina M. Ma, Wenjie Sudre, Carole H Magee, Laura A. Murray, Benjamin Fall, Tove Gomez, Maria F. Tsereteli, Neli Franks, Paul W. Brownstein, John S. Davies, Richard Wolf, Jonathan Spector, Tim D Ourselin, Sebastien Steves, Claire J Chan, Andrew T Modat, Marc medRxiv Article OBJECTIVE: To test whether pregnant and non-pregnant women differ in COVID-19 symptom profile and severity. To extend previous investigations on hospitalized pregnant women to those who did not require hospitalization. DESIGN: Observational study prospectively collecting longitudinal (smartphone application interface) and cross-sectional (web-based survey) data. SETTING: Community-based self-participatory citizen surveillance in the United Kingdom, Sweden and the United States of America. POPULATION: Two female community-based cohorts aged 18–44 years. The discovery cohort was drawn from 1,170,315 UK, Sweden and USA women (79 pregnant tested positive) who self-reported status and symptoms longitudinally via smartphone. The replication cohort included 1,344,966 USA women (134 pregnant tested positive) who provided cross-sectional self-reports. METHODS: Pregnant and non-pregnant were compared for frequencies of symptoms and events, including SARS-CoV-2 testing and hospitalization rates. Multivariable regression was used to investigate symptoms severity and comorbidity effects. RESULTS: Pregnant and non-pregnant women positive for SARS-CoV-2 infection were not different in syndromic severity. Pregnant were more likely to have received testing than non-pregnant, despite reporting fewer symptoms. Pre-existing lung disease was most closely associated with the syndromic severity in pregnant hospitalized women. Heart and kidney diseases and diabetes increased risk. The most frequent symptoms among all non-hospitalized women were anosmia [63% pregnant, 92% non-pregnant] and headache [72%, 62%]. Cardiopulmonary symptoms, including persistent cough [80%] and chest pain [73%], were more frequent among pregnant women who were hospitalized. CONCLUSIONS: Symptom characteristics and severity were comparable among pregnant and non-pregnant women, except for gastrointestinal symptoms. Consistent with observations in non-pregnant populations, lung disease and diabetes were associated with increased risk of more severe SARS-CoV-2 infection during pregnancy. Cold Spring Harbor Laboratory 2020-10-14 /pmc/articles/PMC7444306/ /pubmed/32839787 http://dx.doi.org/10.1101/2020.08.17.20161760 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/It is made available under a CC-BY-NC-ND 4.0 International license (http://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Article Molteni, Erika Astley, Christina M. Ma, Wenjie Sudre, Carole H Magee, Laura A. Murray, Benjamin Fall, Tove Gomez, Maria F. Tsereteli, Neli Franks, Paul W. Brownstein, John S. Davies, Richard Wolf, Jonathan Spector, Tim D Ourselin, Sebastien Steves, Claire J Chan, Andrew T Modat, Marc SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. |
title | SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. |
title_full | SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. |
title_fullStr | SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. |
title_full_unstemmed | SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. |
title_short | SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. |
title_sort | sars-cov-2 (covid-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444306/ https://www.ncbi.nlm.nih.gov/pubmed/32839787 http://dx.doi.org/10.1101/2020.08.17.20161760 |
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