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. 2021 Apr 20;41(2):306–311. doi: 10.1007/s11596-021-2347-9

Retrospective Analysis of Clinical Characteristics and Neonatal Outcomes of Pregnant Women with SARS-COV-2 Infection

Yu Chen 1,#, Xiang-li Pang 2,#, Wen-ping Ding 3,#, Xiang-chi Peng 1, Jing Yang 2,✉, Yan Zhou 4,✉
PMCID: PMC8056188  PMID: 33877546

Summary

This retrospective study aimed to investigate the clinical characteristics and neonatal outcomes of pregnant women with SARS-COV-2 in Wuhan Children’s Hospital and further suggested a possible management strategy for infected pregnant women under epidemic situation. In this study, 8 pregnant women with SARS-COV-2 who were admitted into Wuhan Children’s Hospital, China from February 1, 2020 to March 30, 2020 and the clinical features, laboratory data, maternal and neonatal outcomes were analyzed. The mean age of the women at the time of admission was 30.6 years. The mean gestational age of the women was 37 weeks+4 days, and one woman presented with dichorionic diamniotic (DCDA) twin pregnancy. Except for one woman who was febrile, others had no typical clinical symptoms. For all pregnant women, the count of white blood cells and lymphocytes appeared normal, but 6 had a lower percentage of lymphocytes. C-reactive protein (CRP) levels were normal for all the women. One neonate was tested positive for the coronavirus IgG and IgM antibodies. The clinical symptoms of the pregnant women with SARS-COV-2 were mild, and the laboratory data showed similar characteristics to those of non-infected pregnant women. Since one neonate was tested positive for coronavirus, there is a possibility of vertical transmission of SARS-CoV-2. Prompt and efficient screening, triage, and isolation of pregnant women are effective management strategies to reduce nosocomial infection during the SARS-COV-2 epidemic.

Key words: SARS-COV-2, vertical transmission, pregnant women, neonates, clinical features, maternal and child outcomes

Footnotes

This project was supported by Wuhan Health Commission Fund, China (No. WX14A08).

Conflict of Interest Statement

We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted.

These authors contributed equally to this work.

Contributor Information

Yu Chen, Email: 64812727@qq.com.

Xiang-li Pang, Email: 489626237@qq.com.

Wen-ping Ding, Email: dwpkitty@163.com.

Jing Yang, Email: dryangqing@hotmail.com.

Yan Zhou, Email: zhouyan030118@126.com.

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