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Logistic regressions were used to study the effect of COVID\u201019 on the risk of prematurity or macrosomia (birthweight \u22654500\u00a0g).<\/jats:p><\/jats:sec><jats:sec><jats:title>Main outcome measures<\/jats:title><jats:p>Prematurity less than 37, less than 28, 28\u201331, or 32\u201336\u00a0weeks of gestation; birthweight; obstetric complications.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In singleton pregnancies, COVID\u201019 was associated with obstetric complications such as hypertension (2.8% versus 2.0%, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.01), pre\u2010eclampsia (3.6% versus 2.0%, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.01), diabetes (18.8% versus 14.4%, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.01) and caesarean delivery (26.8% versus 19.7%, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.01). Among pregnant women with COVID\u201019, there was more prematurity between 28 and 31\u00a0weeks of gestation (1.3% versus 0.6%, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.01) and between 32 and 36\u00a0weeks of gestation (7.7% versus 4.3%, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.01), and more macrosomia (1.0% versus 0.7%, p\u00a0=\u00a00.04), but there was no difference in small\u2010for\u2010gestational\u2010age newborns (6.3% versus 8.7%, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.15). Logistic regression analysis for prematurity showed an adjusted odds ratio (aOR) of 1.77 (95% CI 1.55\u20132.01) for COVID\u201019. For macrosomia, COVID\u201019 resulted in non\u2010significant aOR of 1.38 (95% CI 0.95\u20132.00).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>COVID\u201019 is a risk factor for prematurity, even after adjustment for other risk factors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Tweetable Abstract<\/jats:title><jats:p>The risk of prematurity is twice as high in women with COVID\u201019 after adjustment for factors usually associated with prematurity.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1471-0528.17135","type":"journal-article","created":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T09:19:05Z","timestamp":1646644745000},"page":"1084-1094","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Impact of <scp>SARS\u2010CoV\u2010<\/scp>2 infection on risk of prematurity, birthweight and obstetric complications: A multivariate analysis from a nationwide, population\u2010based retrospective cohort study"],"prefix":"10.1111","volume":"129","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6442-1013","authenticated-orcid":false,"given":"Emmanuel","family":"Simon","sequence":"first","affiliation":[{"name":"Gynaecology, Obstetrics, and Fetal Medicine University Hospital  Dijon France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean\u2010Bernard","family":"Gouyon","sequence":"additional","affiliation":[{"name":"Centre d'Etudes P\u00e9rinatales Oc\u00e9an Indien (EA 7388) Centre Hospitalier Universitaire Sud R\u00e9union La R\u00e9union  Saint Pierre France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Cottenet","sequence":"additional","affiliation":[{"name":"Biostatistics and Bioinformatics (DIM) University Hospital  Dijon France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sonia","family":"Bechraoui\u2010Quantin","sequence":"additional","affiliation":[{"name":"Biostatistics and Bioinformatics (DIM) University Hospital  Dijon France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Rozenberg","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology, H\u00f4pital Intercommunal de Poissy Universit\u00e9 Versailles Saint\u2010Quentin  Poissy France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne\u2010Sophie","family":"Mariet","sequence":"additional","affiliation":[{"name":"Biostatistics and Bioinformatics (DIM) University Hospital  Dijon France"},{"name":"Inserm, CIC 1432  Dijon France"},{"name":"Clinical Investigation Centre, Clinical Epidemiology\/Clinical Trials Unit Dijon University Hospital  Dijon France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5134-9411","authenticated-orcid":false,"given":"Catherine","family":"Quantin","sequence":"additional","affiliation":[{"name":"Biostatistics and Bioinformatics (DIM) University Hospital  Dijon France"},{"name":"Inserm, CIC 1432  Dijon France"},{"name":"Clinical Investigation Centre, Clinical Epidemiology\/Clinical Trials Unit Dijon University Hospital  Dijon France"},{"name":"High\u2010Dimensional Biostatistics for Drug Safety and Genomics Universit\u00e9 Paris\u2010Saclay, UVSQ, Univ. 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