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Maternal and Neonatal Morbidity and Mortality Among Pregnant Women With and Without COVID-19 Infection: The INTERCOVID Multinational Cohort Study

Open access
Villar, José, Ariff, Shabina, Gunier, Robert B., Thiruvengadam, Ramachandran, Rauch, Stephen, Kholin, Alexey, Roggero, Paola, Prefumo, Federico, do Vale, Marynéa Silva, Cardona-Perez, Jorge Arturo, Maiz, Nerea, Cetin, Irene, Savasi, Valeria, Deruelle, Philippe, Easter, Sarah Rae, Sichitiu, Joanna, Soto Conti, Constanza P., Ernawati, Ernawati, Mhatre, Mohak, Teji, Jagjit Singh, Liu, Becky, Capelli, Carola, Oberto, Manuela, Salazar, Laura, Gravett, Michael G., Cavoretto, Paolo Ivo, Nachinab, Vincent Bizor, Galadanci, Hadiza, Oros, Daniel, Ayede, Adejumoke Idowu, Sentilhes, Loïc, Bako, Babagana, Savorani, Mónica, Cena, Hellas, García-May, Perla K., Etuk, Saturday, Casale, Roberto, Abd-Elsalam, Sherief, Ikenoue, Satoru, Aminu, Muhammad Baffah, Vecciarelli, Carmen, Duro, Eduardo A., Usman, Mustapha Ado, John-Akinola, Yetunde, Nieto, Ricardo, Ferrazzi, Enrico, Bhutta, Zulfiqar A., Langer, Ana, Kennedy, Stephen H., Papageorghiou, Aris T.·2021·JAMA Pediatrics

Abstract

Importance: Detailed information about the association of COVID-19 with outcomes in pregnant individuals compared with not-infected pregnant individuals is much needed. Objective: To evaluate the risks associated with COVID-19 in pregnancy on maternal and neonatal outcomes compared with not-infected, concomitant pregnant individuals. Design, Setting, and Participants: In this cohort study that took place from March to October 2020, involving 43 institutions in 18 countries, 2 unmatched, consecutive, not-infected women were concomitantly enrolled immediately after each infected woman was identified, at any stage of pregnancy or delivery, and at the same level of care to minimize bias. Women and neonates were followed up until hospital discharge. Exposures: COVID-19 in pregnancy determined by laboratory confirmation of COVID-19 and/or radiological pulmonary findings or 2 or more predefined COVID-19 symptoms. Main Outcomes and Measures: The primary outcome measures were indices of (maternal and severe neonatal/perinatal) morbidity and mortality; the individual components of these indices were secondary outcomes. Models for these outcomes were adjusted for country, month entering study, maternal age, and history of morbidity. Results: A total of 706 pregnant women with COVID-19 diagnosis and 1424 pregnant women without COVID-19 diagnosis were enrolled, all with broadly similar demographic characteristics (mean [SD] age, 30.2 [6.1] years). Overweight early in pregnancy occurred in 323 women (48.6%) with COVID-19 diagnosis and 554 women (40.2%) without. Women with COVID-19 diagnosis were at higher risk for preeclampsia/eclampsia (relative risk [RR], 1.76; 95% CI, 1.27-2.43), severe infections (RR, 3.38; 95% CI, 1.63-7.01), intensive care unit admission (RR, 5.04; 95% CI, 3.13-8.10), maternal mortality (RR, 22.3; 95% CI, 2.88-172), preterm birth (RR, 1.59; 95% CI, 1.30-1.94), medically indicated preterm birth (RR, 1.97; 95% CI, 1.56-2.51), severe neonatal morbidity index (RR, 2.66; 95% CI, 1.69-4.18), and severe perinatal morbidity and mortality index (RR, 2.14; 95% CI, 1.66-2.75). Fever and shortness of breath for any duration was associated with increased risk of severe maternal complications (RR, 2.56; 95% CI, 1.92-3.40) and neonatal complications (RR, 4.97; 95% CI, 2.11-11.69). Asymptomatic women with COVID-19 diagnosis remained at higher risk only for maternal morbidity (RR, 1.24; 95% CI, 1.00-1.54) and preeclampsia (RR, 1.63; 95% CI, 1.01-2.63). Among women who tested positive (98.1% by real-time polymerase chain reaction), 54 (13%) of their neonates tested positive. Cesarean delivery (RR, 2.15; 95% CI, 1.18-3.91) but not breastfeeding (RR, 1.10; 95% CI, 0.66-1.85) was associated with increased risk for neonatal test positivity. Conclusions and Relevance: In this multinational cohort study, COVID-19 in pregnancy was associated with consistent and substantial increases in severe maternal morbidity and mortality and neonatal complications when pregnant women with and without COVID-19 diagnosis were compared. The findings should alert pregnant individuals and clinicians to implement strictly all the recommended COVID-19 preventive measures.

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Metadata

Authors
Villar, J., Ariff, S., Gunier, R. B., Thiruvengadam, R., Rauch, S., Kholin, A., Roggero, P., Prefumo, F., do Vale, M. S., Cardona-Perez, J. A., Maiz, N., Cetin, I., Savasi, V., Deruelle, P., Easter, S. R., Sichitiu, J., Soto Conti, C. P., Ernawati, E., Mhatre, M., Teji, J. S., Liu, B., Capelli, C., Oberto, M., Salazar, L., Gravett, M. G., Cavoretto, P. I., Nachinab, V. B., Galadanci, H., Oros, D., Ayede, A. I., Sentilhes, L., Bako, B., Savorani, M., Cena, H., García-May, P. K., Etuk, S., Casale, R., Abd-Elsalam, S., Ikenoue, S., Aminu, M. B., Vecciarelli, C., Duro, E. A., Usman, M. A., John-Akinola, Y., Nieto, R., Ferrazzi, E., Bhutta, Z. A., Langer, A., Kennedy, S. H., & Papageorghiou, A. T.
Venue
JAMA Pediatrics
Published
2021-08-01
Volume
175
Issue
8
Pages
817
ISSN
  • 1072-4710 (ISSN-L)
  • 2168-6203
OpenAlex
W3153280783
Cited by
1,338
References
3
FWCI
227.07
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Maternal and Neonatal Morbidity and Mortality Among Pregnant Women With and Without COVID-19 Infection: The INTERCOVID Multinational Cohort Study. https://app.cochat.ai/papers/10.1001/jamapediatrics.2021.1050
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Villar, J., Ariff, S., Gunier, R. B., Thiruvengadam, R., Rauch, S., Kholin, A., Roggero, P., Prefumo, F., do Vale, M. S., Cardona-Perez, J. A., Maiz, N., Cetin, I., Savasi, V., Deruelle, P., Easter, S. R., Sichitiu, J., Soto Conti, C. P., Ernawati, E., Mhatre, M., . . . Papageorghiou, A. T. (2021). Maternal and Neonatal Morbidity and Mortality Among Pregnant Women With and Without COVID-19 Infection: The INTERCOVID Multinational Cohort Study. JAMA Pediatrics. https://doi.org/10.1001/jamapediatrics.2021.1050

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.