First- or second-trimester SARS-CoV-2 infection and subsequent pregnancy outcomes.


Journal

American journal of obstetrics and gynecology
ISSN: 1097-6868
Titre abrégé: Am J Obstet Gynecol
Pays: United States
ID NLM: 0370476

Informations de publication

Date de publication:
02 2023
Historique:
received: 21 05 2022
revised: 08 08 2022
accepted: 08 08 2022
pubmed: 16 8 2022
medline: 28 1 2023
entrez: 15 8 2022
Statut: ppublish

Résumé

SARS-CoV-2 infection during pregnancy is associated with adverse pregnancy outcomes, including fetal death and preterm birth. It is not known whether that risk occurs only during the time of acute infection or whether the risk persists later in pregnancy. This study aimed to evaluate whether the risk of SARS-CoV-2 infection during pregnancy persists after an acute maternal illness. A retrospective cohort study of pregnant patients with and without SARS-CoV-2 infection delivering at 17 hospitals in the United States between March 2020 and December 2020. Patients experiencing a SARS-CoV-2-positive test at or before 28 weeks of gestation with a subsequent delivery hospitalization were compared with those without a positive SAR-CoV-2 test at the same hospitals with randomly selected delivery days during the same period. Deliveries occurring at <20 weeks of gestation in both groups were excluded. The study outcomes included fetal or neonatal death, preterm birth at <37 weeks of gestation and <34 weeks of gestation, hypertensive disorders of pregnancy (HDP), any major congenital malformation, and size for gestational age of <5th or <10th percentiles at birth based on published standards. HDP that were collected included HDP and preeclampsia with severe features, both overall and with delivery at <37 weeks of gestation. Of 2326 patients who tested positive for SARS-CoV-2 during pregnancy and were at least 20 weeks of gestation at delivery from March 2020 to December 2020, 402 patients (delivering 414 fetuses or neonates) were SARS-CoV-2 positive before 28 weeks of gestation and before their admission for delivery; they were compared with 11,705 patients without a positive SARS-CoV-2 test. In adjusted analyses, those with SARS-CoV-2 before 28 weeks of gestation had a subsequent increased risk of fetal or neonatal death (2.9% vs 1.5%; adjusted relative risk, 1.97; 95% confidence interval, 1.01-3.85), preterm birth at <37 weeks of gestation (19.6% vs 13.8%; adjusted relative risk, 1.29; 95% confidence interval, 1.02-1.63), and HDP with delivery at <37 weeks of gestation (7.2% vs 4.1%; adjusted relative risk, 1.74; 95% confidence interval, 1.19-2.55). There was no difference in the rates of preterm birth at <34 weeks of gestation, any major congenital malformation, and size for gestational age of <5th or <10th percentiles. In addition, there was no significant difference in the rate of gestational hypertension overall or preeclampsia with severe features. There was a modest increase in the risk of adverse pregnancy outcomes after SARS-CoV-2 infection.

Sections du résumé

BACKGROUND
SARS-CoV-2 infection during pregnancy is associated with adverse pregnancy outcomes, including fetal death and preterm birth. It is not known whether that risk occurs only during the time of acute infection or whether the risk persists later in pregnancy.
OBJECTIVE
This study aimed to evaluate whether the risk of SARS-CoV-2 infection during pregnancy persists after an acute maternal illness.
STUDY DESIGN
A retrospective cohort study of pregnant patients with and without SARS-CoV-2 infection delivering at 17 hospitals in the United States between March 2020 and December 2020. Patients experiencing a SARS-CoV-2-positive test at or before 28 weeks of gestation with a subsequent delivery hospitalization were compared with those without a positive SAR-CoV-2 test at the same hospitals with randomly selected delivery days during the same period. Deliveries occurring at <20 weeks of gestation in both groups were excluded. The study outcomes included fetal or neonatal death, preterm birth at <37 weeks of gestation and <34 weeks of gestation, hypertensive disorders of pregnancy (HDP), any major congenital malformation, and size for gestational age of <5th or <10th percentiles at birth based on published standards. HDP that were collected included HDP and preeclampsia with severe features, both overall and with delivery at <37 weeks of gestation.
RESULTS
Of 2326 patients who tested positive for SARS-CoV-2 during pregnancy and were at least 20 weeks of gestation at delivery from March 2020 to December 2020, 402 patients (delivering 414 fetuses or neonates) were SARS-CoV-2 positive before 28 weeks of gestation and before their admission for delivery; they were compared with 11,705 patients without a positive SARS-CoV-2 test. In adjusted analyses, those with SARS-CoV-2 before 28 weeks of gestation had a subsequent increased risk of fetal or neonatal death (2.9% vs 1.5%; adjusted relative risk, 1.97; 95% confidence interval, 1.01-3.85), preterm birth at <37 weeks of gestation (19.6% vs 13.8%; adjusted relative risk, 1.29; 95% confidence interval, 1.02-1.63), and HDP with delivery at <37 weeks of gestation (7.2% vs 4.1%; adjusted relative risk, 1.74; 95% confidence interval, 1.19-2.55). There was no difference in the rates of preterm birth at <34 weeks of gestation, any major congenital malformation, and size for gestational age of <5th or <10th percentiles. In addition, there was no significant difference in the rate of gestational hypertension overall or preeclampsia with severe features.
CONCLUSION
There was a modest increase in the risk of adverse pregnancy outcomes after SARS-CoV-2 infection.

Identifiants

pubmed: 35970201
pii: S0002-9378(22)00641-X
doi: 10.1016/j.ajog.2022.08.009
pmc: PMC9374493
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

226.e1-226.e9

Subventions

Organisme : NICHD NIH HHS
ID : UG1 HD087230
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD040485
Pays : United States
Organisme : NICHD NIH HHS
ID : U24 HD036801
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD027915
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD087192
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD040544
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD034208
Pays : United States

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Références

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pubmed: 33151917
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pubmed: 24901276

Auteurs

Brenna L Hughes (BL)

Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC. Electronic address: Brenna.hughes@duke.edu.

Grecio J Sandoval (GJ)

the George Washington University Biostatistics Center, Washington, DC.

Torri D Metz (TD)

University of Utah Health, Salt Lake City, UT.

Rebecca G Clifton (RG)

the George Washington University Biostatistics Center, Washington, DC.

William A Grobman (WA)

Northwestern University, Chicago, IL.

George R Saade (GR)

University of Texas Medical Branch, Galveston, TX.

Tracy A Manuck (TA)

Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Monica Longo (M)

Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.

Amber Sowles (A)

University of Utah Health, Salt Lake City, UT.

Kelly Clark (K)

Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Hyagriv N Simhan (HN)

University of Pittsburgh, Pittsburgh, PA.

Dwight J Rouse (DJ)

Brown University, Providence, RI.

Hector Mendez-Figueroa (H)

University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston, TX.

Cynthia Gyamfi-Bannerman (C)

Columbia University, New York, NY.

Jennifer Bailit (J)

MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH.

Maged M Costantine (MM)

Ohio State University, Columbus, OH.

Harish M Sehdev (HM)

University of Pennsylvania, Philadelphia, PA.

Alan T N Tita (ATN)

University of Alabama at Birmingham, Birmingham, AL.

George A Macones (GA)

University of Texas at Austin, Austin, TX.

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Classifications MeSH