Outcome of coronavirus spectrum infections (SARS, MERS, COVID-19) during pregnancy: a systematic review and meta-analysis.


Journal

American journal of obstetrics & gynecology MFM
ISSN: 2589-9333
Titre abrégé: Am J Obstet Gynecol MFM
Pays: United States
ID NLM: 101746609

Informations de publication

Date de publication:
05 2020
Historique:
pubmed: 16 4 2020
medline: 16 4 2020
entrez: 16 4 2020
Statut: ppublish

Résumé

The aim of this systematic review was to report pregnancy and perinatal outcomes of coronavirus spectrum infections, and particularly coronavirus 2019 (COVID-19) disease because of severe acute respiratory syndrome-coronavirus-2 infection during pregnancy. Medline, Embase, Cinahl, and Clinicaltrials.gov databases were searched electronically utilizing combinations of word variants for coronavirus or severe acute respiratory syndrome or SARS or Middle East respiratory syndrome or MERS or COVID-19 and pregnancy. The search and selection criteria were restricted to English language. Inclusion criteria were hospitalized pregnant women with a confirmed coronavirus related-illness, defined as severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), or COVID-19. We used meta-analyses of proportions to combine data and reported pooled proportions, so that a pooled proportion may not coincide with the actual raw proportion in the results. The pregnancy outcomes observed included miscarriage, preterm birth, preeclampsia, preterm prelabor rupture of membranes, fetal growth restriction, and mode of delivery. The perinatal outcomes observed were fetal distress, Apgar score <7 at 5 minutes, neonatal asphyxia, admission to a neonatal intensive care unit, perinatal death, and evidence of vertical transmission. Nineteen studies including 79 hospitalized women were eligible for this systematic review: 41 pregnancies (51.9%) affected by COVID-19, 12 (15.2%) by MERS, and 26 (32.9%) by SARS. An overt diagnosis of pneumonia was made in 91.8%, and the most common symptoms were fever (82.6%), cough (57.1%), and dyspnea (27.0%). For all coronavirus infections, the pooled proportion of miscarriage was 64.7% (8/12; 95% confidence interval, 37.9-87.3), although reported only for women affected by SARS in two studies with no control group; the pooled proportion of preterm birth <37 weeks was 24.3% (14/56; 95% confidence interval, 12.5-38.6); premature prelabor rupture of membranes occurred in 20.7% (6/34; 95% confidence interval, 9.5-34.9), preeclampsia in 16.2% (2/19; 95% confidence interval, 4.2-34.1), and fetal growth restriction in 11.7% (2/29; 95% confidence interval, 3.2-24.4), although reported only for women affected by SARS; 84% (50/58) were delivered by cesarean; the pooled proportion of perinatal death was 11.1% (5/60; 95% confidence interval, 84.8-19.6), and 57.2% of newborns (3/12; 95% confidence interval, 3.6-99.8) were admitted to the neonatal intensive care unit. When focusing on COVID-19, the most common adverse pregnancy outcome was preterm birth <37 weeks, occurring in 41.1% of cases (14/32; 95% confidence interval, 25.6-57.6), while the pooled proportion of perinatal death was 7.0% (2/41; 95% confidence interval, 1.4-16.3). None of the 41 newborns assessed showed clinical signs of vertical transmission. In hospitalized mothers infected with coronavirus infections, including COVID-19, >90% of whom also had pneumonia, preterm birth is the most common adverse pregnancy outcome. COVID-19 infection was associated with higher rate (and pooled proportions) of preterm birth, preeclampsia, cesarean, and perinatal death. There have been no published cases of clinical evidence of vertical transmission. Evidence is accumulating rapidly, so these data may need to be updated soon. The findings from this study can guide and enhance prenatal counseling of women with COVID-19 infection occurring during pregnancy, although they should be interpreted with caution in view of the very small number of included cases.

Identifiants

pubmed: 32292902
doi: 10.1016/j.ajogmf.2020.100107
pii: S2589-9333(20)30037-9
pii: 100107
pmc: PMC7104131
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Pagination

100107

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2020 Elsevier Inc. All rights reserved.

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Auteurs

Daniele Di Mascio (D)

Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Italy.

Asma Khalil (A)

Fetal Medicine Unit, Saint George's Hospital, London, United Kingdom.
Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom.

Gabriele Saccone (G)

Department of Neuroscience, Reproductive Sciences, and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy.

Giuseppe Rizzo (G)

Division of Maternal and Fetal Medicine, Ospedale Cristo Re, University of Rome Tor Vergata, Rome, Italy.
Department of Obstetrics and Gynecology, The First I. M. Sechenov Moscow State Medical University, Moscow Russia.

Danilo Buca (D)

Centre for High Risk Pregnancy and Fetal Care, Department of Obstetrics and Gynecology, University of Chieti, Chieti, Italy.

Marco Liberati (M)

Centre for High Risk Pregnancy and Fetal Care, Department of Obstetrics and Gynecology, University of Chieti, Chieti, Italy.

Jacopo Vecchiet (J)

Clinic of Infectious Diseases, Department of Medicine and Science of Aging, University 'G. d'Annunzio' Chieti-Pescara, Chieti, Italy.

Luigi Nappi (L)

Departments of Obstetrics and Gynecology and Medical and Surgical Sciences, University of Foggia, Foggia, Italy.

Giovanni Scambia (G)

Department of Obstetrics and Gynecology, Catholic University of the Sacred Heart, Fondazione Policlinico A. Gemelli, Rome, Italy.

Vincenzo Berghella (V)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, PA.

Francesco D'Antonio (F)

Departments of Obstetrics and Gynecology and Medical and Surgical Sciences, University of Foggia, Foggia, Italy.

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Classifications MeSH