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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
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.
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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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