Coronavirus Disease 2019 (COVID-19) Pandemic and Pregnancy Outcomes in a U.S. Population.
Adult
COVID-19
/ complications
COVID-19 Testing
/ statistics & numerical data
Female
Humans
Infant, Newborn
Pregnancy
Pregnancy Complications, Infectious
/ epidemiology
Pregnancy Outcome
/ epidemiology
Prenatal Care
/ statistics & numerical data
Retrospective Studies
SARS-CoV-2
United States
/ epidemiology
Journal
Obstetrics and gynecology
ISSN: 1873-233X
Titre abrégé: Obstet Gynecol
Pays: United States
ID NLM: 0401101
Informations de publication
Date de publication:
01 10 2021
01 10 2021
Historique:
received:
01
06
2021
accepted:
22
07
2021
pubmed:
26
8
2021
medline:
21
10
2021
entrez:
25
8
2021
Statut:
ppublish
Résumé
To examine whether the coronavirus disease 2019 (COVID-19) pandemic altered risk of adverse pregnancy-related outcomes and whether there were differences by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection status among pregnant women. In this retrospective cohort study using Epic's Cosmos research platform, women who delivered during the pandemic (March-December 2020) were compared with those who delivered prepandemic (matched months 2017-2019). Within the pandemic epoch, those who tested positive for SARS-CoV-2 infection were compared with those with negative test results or no SARS-CoV-2 diagnosis. Comparisons were performed using standardized differences, with a value greater than 0.1 indicating meaningful differences between groups. Among 838,489 women (225,225 who delivered during the pandemic), baseline characteristics were similar between epochs. There were no significant differences in adverse pregnancy outcomes between epochs (standardized difference<0.10). In the pandemic epoch, 108,067 (48.0%) women had SARS-CoV-2 testing available; of those, 7,432 (6.9%) had positive test results. Compared with women classified as negative for SARS-CoV-2 infection, those who tested positive for SARS-CoV-2 infection were less likely to be non-Hispanic White or Asian or to reside in the Midwest and more likely to be Hispanic, have public insurance, be obese, and reside in the South or in high social vulnerability ZIP codes. There were no significant differences in the frequency of preterm birth (8.5% vs 7.6%, standardized difference=0.032), stillbirth (0.4% vs 0.4%, standardized difference=-0.002), small for gestational age (6.4% vs 6.5%, standardized difference=-0.002), large for gestational age (7.7% vs 7.7%, standardized difference=-0.001), hypertensive disorders of pregnancy (16.3% vs 15.8%, standardized difference=0.014), placental abruption (0.5% vs 0.4%, standardized difference=0.007), cesarean birth (31.2% vs 29.4%, standardized difference=0.039), or postpartum hemorrhage (3.4% vs 3.1%, standardized difference=0.019) between those who tested positive for SARS-CoV-2 infection and those classified as testing negative. In a geographically diverse U.S. cohort, the frequency of adverse pregnancy-related outcomes did not differ between those delivering before compared with during the pandemic, nor between those classified as positive compared with negative for SARS-CoV-2 infection during pregnancy.
Identifiants
pubmed: 34433180
doi: 10.1097/AOG.0000000000004547
pii: 00006250-990000000-00274
pmc: PMC8454282
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
542-551Subventions
Organisme : NIEHS NIH HHS
ID : P30 ES013508
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2021 by the American College of Obstetricians and Gynecologists. Published by Wolters Kluwer Health, Inc. All rights reserved.
Déclaration de conflit d'intérêts
Financial Disclosure Eric Lindgren, Kieran Gallagher, and Justin Y. Lo disclosed that they are employees of Epic Systems Corporation, a health IT software company that provides Cosmos, a research platform containing data from Epic's health care provider customer organizations. Epic licenses electronic health record software and provides related services to health care organizations that pay Epic for such software and services. The authors and Epic and have no conflicts of interest with respect to the subject matter of this study but would like to clarify that insights gleaned from this research may inform Epic's software design and development activities. Heather H. Burris disclosed that money was paid to her institution from Highmark Blue Cross Blue Shield Delaware's donor-advised fund (foundation grant), BluePrints for the Community, and Independence Blue Cross. The other authors did not report any potential conflicts of interest.
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