Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts

Author:

Molteni ErikaORCID,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

Abstract

AbstractWe tested whether pregnant and non-pregnant women differ in COVID-19 symptom profile and severity, and we extended previous investigations on hospitalized pregnant women to those who did not require hospitalization. Two female community-based cohorts (18–44 years) provided longitudinal (smartphone application, N = 1,170,315, n = 79 pregnant tested positive) and cross-sectional (web-based survey, N = 1,344,966, n = 134 pregnant tested positive) data, prospectively collected through self-participatory citizen surveillance in UK, Sweden and USA. Pregnant and non-pregnant were compared for frequencies of events, including SARS-CoV-2 testing, symptoms and hospitalization rates. Multivariable regression was used to investigate symptoms severity and comorbidity effects. Pregnant and non-pregnant women positive for SARS-CoV-2 infection were not different in syndromic severity, except for gastrointestinal symptoms. Pregnant were more likely to have received testing, despite reporting fewer symptoms. Pre-existing lung disease was most closely associated with syndromic severity in pregnant hospitalized. Heart and kidney diseases and diabetes increased risk. The most frequent symptoms among 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 who were hospitalized. 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.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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