Association of Infection with Different SARS-CoV-2 Variants during Pregnancy with Maternal and Perinatal Outcomes: A Systematic Review and Meta-Analysis

Jie Deng, Yirui Ma, Qiao Liu, Min Du, Min Liu () and Jue Liu ()
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Jie Deng: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Address No. 38, Xueyuan Road, Haidian District, Beijing 100191, China
Yirui Ma: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Address No. 38, Xueyuan Road, Haidian District, Beijing 100191, China
Qiao Liu: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Address No. 38, Xueyuan Road, Haidian District, Beijing 100191, China
Min Du: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Address No. 38, Xueyuan Road, Haidian District, Beijing 100191, China
Min Liu: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Address No. 38, Xueyuan Road, Haidian District, Beijing 100191, China
Jue Liu: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Address No. 38, Xueyuan Road, Haidian District, Beijing 100191, China

IJERPH, 2022, vol. 19, issue 23, 1-16

Abstract: The aim of this study is to review the currently available data, and to explore the association of infection with different severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants during pregnancy with maternal and perinatal outcomes in the real world. Observational cohort studies were analyzed that described the maternal and perinatal outcomes of infection with different SARS-CoV-2 variants during pregnancy. Random-effects inverse-variance models were used to evaluate the pooled prevalence (PP) and its 95% confidence interval (CI) for maternal and perinatal outcomes. Random effects were used to estimate the pooled odds ratios (OR) and their 95% CI for different outcomes between Delta and pre-Delta periods, and between Omicron and Delta periods. Eighteen studies, involving a total of 133,058 cases of SARS-CoV-2 infection during pregnancy (99,567 cases of SARS-CoV-2 wild type or pre-variant infection and 33,494 cases of SARS-CoV-2 variant infections), were included in this meta-analysis. Among pregnant women with SARS-CoV-2 infections, the PPs for required respiratory support, severe or critical illness, intensive care unit (ICU) admission, maternal death, and preterm birth <37 weeks were, respectively, 27.24% (95%CI, 20.51–33.97%), 24.96% (95%CI, 15.96–33.96%), 11.31% (95%CI, 4.00–18.61%), 4.20% (95%CI, 1.43–6.97%), and 33.85% (95%CI, 21.54–46.17%) in the Delta period, which were higher than those in the pre-Delta period, while the corresponding PPs were, respectively, 10.74% (95%CI, 6.05–15.46%), 11.99% (95%CI, 6.23–17.74%), 4.17% (95%CI, 1.53–6.80%), 0.63% (95%CI, 0.05–1.20%), and 18.58% (95%CI, 9.52–27.65%). The PPs for required respiratory support, severe or critical illness, and ICU admission were, respectively, 2.63% (95%CI, 0.98–4.28%), 1.11% (95%CI, 0.29–1.94%), and 1.83% (95%CI, 0.85–2.81%) in the Omicron period, which were lower than those in the pre-Delta and Delta periods. These results suggest that Omicron infections are associated with less severe maternal and neonatal adverse outcomes, though maternal ICU admission, the need for respiratory support, and preterm birth did also occur with Omicron infections. Since Omicron is currently the predominant strain globally, and has the highest rates of transmission, it is still important to remain vigilant in protecting the vulnerable populations of mothers and infants. In particular, obstetricians and gynecologists should not ignore the adverse risks of maternal ICU admission, respiratory support, and preterm births in pregnant patients with SARS-CoV-2 infections, in order to protect the health of mothers and infants.

Keywords: COVID-19; SARS-CoV-2; pregnancy; variant; maternal outcome; perinatal outcome; systematic review; meta-analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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