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      SARS-CoV-2 infection in the first trimester and the risk of early miscarriage: a UK population-based prospective cohort study of 3041 pregnancies conceived during the pandemic

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          Abstract

          STUDY QUESTION

          Does maternal infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the first trimester affect the risk of miscarriage before 13 week’s gestation?

          SUMMARY ANSWER

          Pregnant women with self-reported diagnosis of SARS-CoV-2 in the first trimester had a higher risk of early miscarriage.

          WHAT IS KNOWN ALREADY

          Viral infections during pregnancy have a broad spectrum of placental and neonatal pathology. Data on the effects of the SARS-CoV-2 infection in pregnancy are still emerging. Two systematic reviews and meta-analyses reported an increased risk of preterm birth, caesarean delivery, maternal morbidity and stillbirth. Data on the impact of first trimester infection on early pregnancy outcomes are scarce. This is the first study, to our knowledge, to investigate the rates of early pregnancy loss during the SARS-CoV-2 outbreak among women with self-reported infection.

          STUDY DESIGN, SIZE, DURATION

          This was a nationwide prospective cohort study of pregnant women in the community recruited using social media between 21 May and 31 December 2020. We recruited 3545 women who conceived during the SARS-CoV-2 pandemic who were <13 week’s gestation at the time of recruitment.

          PARTICIPANTS/MATERIALS, SETTING, METHODS

          The COVID-19 Contraception and Pregnancy Study (CAP-COVID) was an on-line survey study collecting longitudinal data from pregnant women in the UK aged 18 years or older. Women who were pregnant during the pandemic were asked to complete on-line surveys at the end of each trimester. We collected data on current and past pregnancy complications, their medical history and whether they or anyone in their household had symptoms or been diagnosed with SARS-CoV-2 infection during each trimester of their pregnancy. RT-PCR-based SARS-CoV-2 RNA detection from respiratory samples (e.g. nasopharynx) is the standard practice for diagnosis of SARS-CoV-2 in the UK. We compared rate of self-reported miscarriage in three groups: ‘presumed infected’, i.e. those who reported a diagnosis with SARS-CoV-2 infection in the first trimester; ‘uncertain’, i.e. those who did not report a diagnosis but had symptoms/household contacts with symptoms/diagnosis; and ‘presumed uninfected’, i.e. those who did not report any symptoms/diagnosis and had no household contacts with symptoms/diagnosis of SARS-CoV-2.

          MAIN RESULTS AND THE ROLE OF CHANCE

          A total of 3545 women registered for the CAP-COVID study at <13 weeks gestation and were eligible for this analysis. Data for the primary outcome were available from 3041 women (86%). In the overall sample, the rate of self-reported miscarriage was 7.8% (238/3041 [95% CI, 7–9]). The median gestational age (GA) at miscarriage was 9 weeks (interquartile range 8–11). Seventy-seven women were in the ‘presumed infected’ group (77/3041, 2.5% [95% CI 2–3]), 295/3041 were in the uncertain group (9.7% [95% CI 9–11]) and the rest in the ‘presumed uninfected’ (87.8%, 2669/3041 [95% CI 87–89]). The rate of early miscarriage was 14% in the ‘presumed infected’ group, 5% in the ‘uncertain’ and 8% in the ‘presumed uninfected’ (11/77 [95% CI 6–22] versus 15/295 [95% CI 3–8] versus 212/2669 [95% CI 7–9], P = 0.02). After adjusting for age, BMI, ethnicity, smoking status, GA at registration and the number of previous miscarriages, the risk of early miscarriage appears to be higher in the ‘presumed infected’ group (relative rate 1.7, 95% CI 1.0–3.0, P = 0.06).

          LIMITATIONS, REASONS FOR CAUTION

          We relied on self-reported data on early pregnancy loss and SARS-CoV-2 infection without any means of checking validity. Some women in the ‘presumed uninfected’ and ‘uncertain’ groups may have had asymptomatic infections. The number of ‘presumed infected’ in our study was low and therefore the study was relatively underpowered.

          WIDER IMPLICATIONS OF THE FINDINGS

          This was a national study from the UK, where infection rates were one of the highest in the world. Based on the evidence presented here, women who are infected with SARS-CoV-2 in their first trimester may be at an increased risk of a miscarriage. However, the overall rate of miscarriage in our study population was 8%. This is reassuring and suggests that if there is an effect of SARS-CoV-2 on the risk of miscarriage, this may be limited to those with symptoms substantial enough to lead to a diagnostic test. Further studies are warranted to evaluate a causal association between SARS-CoV-2 infection in early pregnancy and miscarriage risk. Although we did not see an overall increase in the risk of miscarriage, the observed comparative increase in the presumed infected group reinforces the message that pregnant women should continue to exercise social distancing measures and good hygiene throughout their pregnancy to limit their risk of infection

          STUDY FUNDING/COMPETING INTEREST(S)

          This study was supported by a grant from the Elizabeth Garrett Anderson Hospital Charity (G13-559194). The funders of the study had no role in study design, data collection, data analysis, data interpretation or writing of the report. J.A.H. is supported by an NIHR Advanced Fellowship. A.L.D. is supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre. All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: support to J.A.H. and A.L.D. as above; no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities that could appear to have influenced the submitted work.

          TRIAL REGISTRATION NUMBER

          N/A.

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          Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this paper, the author proposes a modified Poisson regression approach (i.e., Poisson regression with a robust error variance) to estimate this effect measure directly. A simple 2-by-2 table is used to justify the validity of this approach. Results from a limited simulation study indicate that this approach is very reliable even with total sample sizes as small as 100. The method is illustrated with two data sets.
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            The ASA's Statement onp-Values: Context, Process, and Purpose

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              Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis

              Abstract Objective To determine the clinical manifestations, risk factors, and maternal and perinatal outcomes in pregnant and recently pregnant women with suspected or confirmed coronavirus disease 2019 (covid-19). Design Living systematic review and meta-analysis. Data sources Medline, Embase, Cochrane database, WHO COVID-19 database, China National Knowledge Infrastructure (CNKI), and Wanfang databases from 1 December 2019 to 26 June 2020, along with preprint servers, social media, and reference lists. Study selection Cohort studies reporting the rates, clinical manifestations (symptoms, laboratory and radiological findings), risk factors, and maternal and perinatal outcomes in pregnant and recently pregnant women with suspected or confirmed covid-19. Data extraction At least two researchers independently extracted the data and assessed study quality. Random effects meta-analysis was performed, with estimates pooled as odds ratios and proportions with 95% confidence intervals. All analyses will be updated regularly. Results 77 studies were included. Overall, 10% (95% confidence interval 7% to14%; 28 studies, 11 432 women) of pregnant and recently pregnant women attending or admitted to hospital for any reason were diagnosed as having suspected or confirmed covid-19. The most common clinical manifestations of covid-19 in pregnancy were fever (40%) and cough (39%). Compared with non-pregnant women of reproductive age, pregnant and recently pregnant women with covid-19 were less likely to report symptoms of fever (odds ratio 0.43, 95% confidence interval 0.22 to 0.85; I2=74%; 5 studies; 80 521 women) and myalgia (0.48, 0.45 to 0.51; I2=0%; 3 studies; 80 409 women) and were more likely to need admission to an intensive care unit (1.62, 1.33 to 1.96; I2=0%) and invasive ventilation (1.88, 1.36 to 2.60; I2=0%; 4 studies, 91 606 women). 73 pregnant women (0.1%, 26 studies, 11 580 women) with confirmed covid-19 died from any cause. Increased maternal age (1.78, 1.25 to 2.55; I2=9%; 4 studies; 1058 women), high body mass index (2.38, 1.67 to 3.39; I2=0%; 3 studies; 877 women), chronic hypertension (2.0, 1.14 to 3.48; I2=0%; 2 studies; 858 women), and pre-existing diabetes (2.51, 1.31 to 4.80; I2=12%; 2 studies; 858 women) were associated with severe covid-19 in pregnancy. Pre-existing maternal comorbidity was a risk factor for admission to an intensive care unit (4.21, 1.06 to 16.72; I2=0%; 2 studies; 320 women) and invasive ventilation (4.48, 1.40 to 14.37; I2=0%; 2 studies; 313 women). Spontaneous preterm birth rate was 6% (95% confidence interval 3% to 9%; I2=55%; 10 studies; 870 women) in women with covid-19. The odds of any preterm birth (3.01, 95% confidence interval 1.16 to 7.85; I2=1%; 2 studies; 339 women) was high in pregnant women with covid-19 compared with those without the disease. A quarter of all neonates born to mothers with covid-19 were admitted to the neonatal unit (25%) and were at increased risk of admission (odds ratio 3.13, 95% confidence interval 2.05 to 4.78, I2=not estimable; 1 study, 1121 neonates) than those born to mothers without covid-19. Conclusion Pregnant and recently pregnant women are less likely to manifest covid-19 related symptoms of fever and myalgia than non-pregnant women of reproductive age and are potentially more likely to need intensive care treatment for covid-19. Pre-existing comorbidities, high maternal age, and high body mass index seem to be risk factors for severe covid-19. Preterm birth rates are high in pregnant women with covid-19 than in pregnant women without the disease. Systematic review registration PROSPERO CRD42020178076. Readers’ note This article is a living systematic review that will be updated to reflect emerging evidence. Updates may occur for up to two years from the date of original publication.
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                Author and article information

                Contributors
                Journal
                Hum Reprod
                Hum Reprod
                humrep
                Human Reproduction (Oxford, England)
                Oxford University Press
                0268-1161
                1460-2350
                07 April 2022
                07 April 2022
                : deac062
                Affiliations
                Reproductive Medicine Unit, University College London Hospital , London, UK
                Reproductive Medicine Unit, University College London Hospital , London, UK
                Elizabeth Garrett Anderson Institute for Women’s Health, University College London , London, UK
                Elizabeth Garrett Anderson Institute for Women’s Health, University College London , London, UK
                Elizabeth Garrett Anderson Institute for Women’s Health, University College London , London, UK
                Elizabeth Garrett Anderson Institute for Women’s Health, University College London , London, UK
                Elizabeth Garrett Anderson Institute for Women’s Health, University College London , London, UK
                Centre for Longitudinal Studies, Social Research Institute, University College London, London, UK  
                Reproductive Medicine Unit, University College London Hospital , London, UK
                Reproductive Medicine Unit, University College London Hospital , London, UK
                Author notes

                Ephia Yasmin and Dimitrios Mavrelos are joint last authors.

                Correspondence address. Reproductive Medicine Unit, University College London Hospital, London NW1 2BU, UK. E-mail: ephia.yasmin@ 123456nhs.net
                Author information
                https://orcid.org/0000-0003-3086-5235
                https://orcid.org/0000-0001-6907-5527
                https://orcid.org/0000-0002-2084-9568
                https://orcid.org/0000-0002-8852-0881
                https://orcid.org/0000-0002-0199-6140
                https://orcid.org/0000-0002-9738-1051
                https://orcid.org/0000-0003-3481-3459
                https://orcid.org/0000-0002-8198-5790
                https://orcid.org/0000-0001-6050-222X
                https://orcid.org/0000-0003-4106-8514
                Article
                deac062
                10.1093/humrep/deac062
                9047154
                35389480
                0a8616fe-8372-4dc7-9d3b-0f6578f261a5
                © The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 29 September 2021
                : 14 February 2022
                : 09 March 2022
                : 23 April 2022
                Page count
                Pages: 8
                Funding
                Funded by: Elizabeth Garrett Anderson Hospital Charity;
                Award ID: G13-559194
                Funded by: National Institute for Health Research University College London Hospitals Biomedical Research Centre;
                Categories
                Original Article
                AcademicSubjects/MED00905
                Custom metadata
                corrected-proof
                PAP

                Human biology
                early miscarriage,pregnancy loss,severe acute respiratory syndrome coronavirus 2,sars-cov-2,coronavirus disease 2019,covid-19

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