Clinical features and the maternal and neonatal outcomes of pregnant women with coronavirus disease 2019
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Abstract
BACKGROUND
There is little information about the coronavirus disease 2019 (Covid-19) during pregnancy. This study aimed to determine the clinical features and the maternal and neonatal outcomes of pregnant women with Covid-19.
METHODS
In this retrospective analysis from five hospitals, we included pregnant women with Covid-19 from January 1 to February 20, 2020. The primary composite endpoints were admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Secondary endpoints included the clinical severity of Covid-19, neonatal mortality, admission to neonatal intensive care unit (NICU), and the incidence of acute respiratory distress syndrome (ARDS) of pregnant women and newborns.
RESULTS
Thirty-three pregnant women with Covid-19 and 28 newborns were identified. One (3%) pregnant woman needed the use of mechanical ventilation. No pregnant women admitted to the ICU. There were no moralities among pregnant women or newborns. The percentages of pregnant women with mild, moderate, and severe symptoms were 13 (39.4%),19(57.6%), and 1(3%). One (3.6%) newborn developed ARDS and was admitted to the NICU. The rate of perinatal transmission of SARS-CoV-2 was 3.6%.
CONCLUSIONS
This report suggests that pregnant women are not at increased risk for severe illness or mortality with Covid-19 compared with the general population. The SARS-CoV-2 infection during pregnancy might not be associated with as adverse obstetrical and neonatal outcomes that are seen with the severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) infection during pregnancy. (Funded by the National Key Research and Development Program.)
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SciScore for 10.1101/2020.03.22.20041061: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: The Institutional Review Board of Huazhong University of Science and Technology approved this study (#TJ-IRB20200222).
Consent: All pregnant women gave informed consent to participate in this study.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable From January 1 to February 20, 2020, all consecutive pregnant women with Covid-19 in five hospitals were enrolled. Table 2: Resources
Software and Algorithms Sentences Resources All statistical analyses were performed using SAS 9.4 (SAS Institute, Cary, NC). SAS Institutesuggested: (Statistical Analysis System, RRID:SCR_008567)Results from OddPub: We did not detect …
SciScore for 10.1101/2020.03.22.20041061: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: The Institutional Review Board of Huazhong University of Science and Technology approved this study (#TJ-IRB20200222).
Consent: All pregnant women gave informed consent to participate in this study.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable From January 1 to February 20, 2020, all consecutive pregnant women with Covid-19 in five hospitals were enrolled. Table 2: Resources
Software and Algorithms Sentences Resources All statistical analyses were performed using SAS 9.4 (SAS Institute, Cary, NC). SAS Institutesuggested: (Statistical Analysis System, RRID:SCR_008567)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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