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Abstract 


Background

Descriptions of coronavirus disease 2019 (COVID-19) have focused on the nonpregnant adult population. This study aims to describe the clinical characteristics and perinatal outcomes of COVID-19 in pregnancy.

Methods

We searched databases from December 2019 to 30 April 2020. Eligible studies reported clinical characteristics, radiological findings, and/or laboratory testing of pregnant women during infection. Data were pooled across studies using a random-effects model.

Results

Twenty-four studies (136 women) were included. The most common symptoms were fever (62.9%) and cough (36.8%). Laboratory findings included elevated C-reactive protein (57%) and lymphocytopenia (50%). Ground-glass opacity was the most common radiological finding (81.7%). Preterm birth rate was 37.7% and cesarean delivery rate was 76%. There was 1 maternal death. There were 2 fetal COVID-19 cases.

Conclusions

The clinical picture in pregnant women with COVID-19 did not differ from the nonpregnant population; however, the rate of preterm birth and cesarean delivery are considerably higher than international averages.

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Clin Infect Dis. 2020 Jun 23 : ciaa828.
Published online 2020 Jun 23. https://doi.org/10.1093/cid/ciaa828
PMCID: PMC7337697
PMID: 32575114

Clinical Presentation and Outcomes of Pregnant Women With Coronavirus Disease 2019: A Systematic Review and Meta-analysis

Associated Data

Supplementary Materials

Abstract

Background

Descriptions of coronavirus disease 2019 (COVID-19) have focused on the nonpregnant adult population. This study aims to describe the clinical characteristics and perinatal outcomes of COVID-19 in pregnancy.

Methods

We searched databases from December 2019 to 30 April 2020. Eligible studies reported clinical characteristics, radiological findings, and/or laboratory testing of pregnant women during infection. Data were pooled across studies using a random-effects model.

Results

Twenty-four studies (136 women) were included. The most common symptoms were fever (62.9%) and cough (36.8%). Laboratory findings included elevated C-reactive protein (57%) and lymphocytopenia (50%). Ground-glass opacity was the most common radiological finding (81.7%). Preterm birth rate was 37.7% and cesarean delivery rate was 76%. There was 1 maternal death. There were 2 fetal COVID-19 cases.

Conclusions

The clinical picture in pregnant women with COVID-19 did not differ from the nonpregnant population; however, the rate of preterm birth and cesarean delivery are considerably higher than international averages.

Keywords: coronavirus, pregnant, neonates, transmission

In December 2019, a virus of unknown origin was detected in Wuhan, China, and causing a cluster of pneumonia cases [1]. Shortly thereafter, the virus was classified as part of the novel enveloped RNA betacoronavirus family [2] and named the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); its associated disease is called coronavirus disease 2019 (COVID-19). The World Health Organization has recently declared COVID-19 as a pandemic [3]. As of 22 June 2020, >8 million confirmed cases had been documented globally with >400 000 deaths [4].

Many studies have reported the clinical characteristics, laboratory findings, and radiological imaging associated with COVID-19 in both the nonpregnant adult and pediatric populations. Clinical characteristics are quite similar in adults and children; the most common symptoms include fever and cough, usually dry [5–9]. Laboratory findings also appear to be similar, with lymphopenia and elevated C-reactive protein being the most common findings [5–9]. In addition, more than half of adults and children demonstrate ground-glass opacity on computed tomography (CT) of the chest [5–9].

Pregnancy poses a unique situation where the management of an affected patient is influenced by 2 patients: the mother and her fetus. Additionally, the normal pregnancy adaptations of the immune system pregnancy may theoretically cause clinical dilemmas and remains poorly understood. There is an urgent need for certain questions to be addressed: Do pregnant patients have similar clinical presentations, and are they more likely to experience adverse maternofetal or obstetrical outcomes? Understanding the clinical course of COVID-19 in the pregnant population is imperative for health providers to be able to care for the mother and her unborn fetus in a standardized way. This study aims to describe the clinical characteristics, laboratory abnormalities, radiological findings, and outcomes of pregnancy during COVID-19 to aid practitioners in managing these unique patients. To our knowledge, this is the largest systematic review and meta-analysis of its kind in pregnancy.

METHODS

Search Strategy and Data Sources

A comprehensive search of several databases from 1 December 2019 to 30 April 2020 was conducted and limited to English-language publications. The databases included Ovid Medline and Epub Ahead of Print, In-Process and Other Non-Indexed Citations; Ovid Embase; Ovid Cochrane Central Register of Controlled Trials; and Scopus. The search strategy was conducted by a medical reference librarian. Controlled vocabulary supplemented with keywords was used to search for SARS-CoV-2 infection and pregnancy. The search strategy and terms used are available in Supplementary Item 1.

Eligibility Criteria and Quality Assessment

Eligible studies had to meet all of the following inclusion criteria: (1) participants must be women who were pregnant; (2) reverse-transcription polymerase chain reaction (RT-PCR)–confirmed COVID-19 infection through throat or nasal swabs; and (3) report of neonatal outcomes. The quality of each study was independently evaluated by 2 authors (R. M. and N. M.) using the methodological quality and synthesis of case series and case reports described by Murad et al [10]. This article followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

Statistical Analysis

Means of continuous variables and rates of binary variables were pooled using the random-effects model, and the generic inverse variance method of DerSimonian and Laird [11]. Proportions underwent logit transformation prior to meta-analysis. The heterogeneity of effect size estimates across the studies was quantified using the Q statistic and the I2 index (P < .10 was considered significant). A value of I2 of 0–25% indicates minimal heterogeneity, 26%–50% moderate heterogeneity, and 51%–100% substantial heterogeneity [12]. Data analysis was performed using Open Meta analyst software (CEBM, Brown University, Providence, Rhode Island).

RESULTS

Study Selection and Characteristics

The initial search yielded 1082 potentially relevant articles from which 24 unique studies involving 136 pregnant women met eligibility criteria [13–36]. Details of the study selection process are depicted in Supplementary Item 2. The baseline characteristics of the included studies are described in Table 1. The maternal age ranged from 25 to 34 years, and the gestational age at admission ranged from 30 to 40 weeks.

Table 1.

Baseline Characteristics of Included Studies

Author, YearCountryStudy DesignNo. of SubjectsMean Age, yMean Gestational Age on Admission, wk
Chen et al, 2020 [13]ChinaRC929.8937.11
Chen et al, 2020 [14]ChinaRC1729.1NA
Liu et al, 2020 [15]ChinaRC1029.6933.85
Wang et al, 2020 [16]ChinaCase report13440
Wang et al, 2020 [17]ChinaCase report12830
Zhu et al, 2020 [18]ChinaRC930.89NA
Liu et al, 2020 [19]ChinaCase series332.67NA
Iqbal et al, 2020 [20]United StatesCase report13439
Chen et al, 2020 [21]ChinaRC528.8NA
Chen et al, 2020 [22]ChinaCase series429NA
Dong et al, 2020 [23]ChinaCase report12934
Fan et al, 2020 [24]ChinaCase series231.536.5
Karami et al, 2020a [25]IranCase report12730
Khan et al, 2020 [26]ChinaCase series329.3337
Lee et al, 2020 [27]Republic of KoreaCase report12836
Li et al, 2020 [28]ChinaCase-control study1630.935.5
Liu et al, 2020 [29]ChinaRC113237
Yu et al, 2020 [30]ChinaRC732.1439
Peng et al, 2020 [31]ChinaCase report125NA
Wu et al, 2020 [32]ChinaRC232933
Xiong et al, 2020 [33]ChinaCase report12533
Yang et al, 2020 [34]ChinaPC7NA NA
Zambrano et al, 2020 [35]HondurasCase report14131
Li et al, 2020 [36]ChinaCase report13035

Abbreviations: NA, not available; PC, prospective cohort study; RC, retrospective cohort study.

aStudy retracted.

Risk of Bias

Results of the quality assessment of all included studies are shown in Table 2. All of the case series were judged to have good quality. The patients appeared to represent the whole experience of the investigator, the exposure and outcome were adequately ascertained, and the length of follow-up was adequate.

Table 2.

Methodological Quality Assessment Tool Results

Author, YearQuestion 1Question 2Question 3Question 4Question 5
Chen et al, 2020YesYesYesYesYes
Chen et al, 2020YesYesYesYesYes
Liu et al, 2020YesYesYesYesYes
Wang et al, 2020YesYesYesNoNo
Wang et al, 2020YesYesYesYesYes
Zhu et al, 2020YesYesYesYesYes
Liu et al, 2020YesYesYesYesYes
Iqbal et al, 2020YesYesYesYesNo
Chen et al, 2020YesYesYesYesYes
Chen et al, 2020YesYesYesYesYes
Dong et al, 2020YesYesYesYesYes
Fan et al, 2020YesYesYesYesYes
Karami et al, 2020aYesYesYesYesYes
Khan et al, 2020YesYesYesYesYes
Lee et al, 2020YesYesYesYesYes
Li et al, 2020YesYesYesYesYes
Liu et al, 2020YesYesYesNoNo
Yu et al, 2020YesYesYesYesYes
Peng et al, 2020YesYesYesYesYes
Wu et al, 2020YesYesYesYesYes
Xiong et al, 2020YesYesYesYesYes
Yang et al, 2020YesYesYesYesYes
Zambrano et al, 2020YesYesYesYesYes
Li et al, 2020YesYesYesYesYes

Question 1: Does the patient(s) represent(s) the whole experience of the investigator (center)?

Question 2: Was the exposure adequately ascertained?

Question 3: Was the outcome adequately ascertained?

Question 4: Was follow-up long enough for outcomes to occur?

Question 5: Is the case(s) described with sufficient detail to allow other investigators to replicate the research or to allow practitioners make inferences related to their own practice?

aStudy retracted.

Clinical Characteristics

The demographic and clinical characteristics of the patients are described in Table 3. All patients were hospitalized during the course of delivery and treatment. Sixty-two patients were residents of Wuhan, China. Among the patients who lived in Wuhan, all had a community exposure, defined as being located within a setting with a known outbreak, and only 1 woman had direct contact with a known infected person. Fever was the most common presenting symptom, seen in 62.9% (95% confidence interval [CI], .477–.759; I2 = 47.24%) on admission, followed by cough in 36.8% of patients (95% CI, .253–.500; I2 = 29.31%), and sore throat in 22.6% (95% CI, .078–.502; I2 = 27.92%). Less frequently reported symptoms included dyspnea (15.7% [95% CI, .067–.328]; I2 = 23.46%) and diarrhea (15.6% [95% CI, .075–.295]; I2 = 0%]) (Figure 1). Overall, 19.7% had at least 1 coexisting illness; frequently reported illnesses included hypothyroidism, hepatitis B virus infection, hypertension, gestational diabetes, autoimmune disease, and chronic obstructive pulmonary disease.

Table 3.

Demographics and Clinical Characteristics of Included Patients

Author, YearExposure to the Environment (Unknown Contact)Direct Contact With Infected PeopleFeverDry CoughSore ThroatDyspneaMyalgiaDiarrhea
Chen et al, 2020 [13]Yes (4)Yes (5)742131
Chen et al, 2020 [14]NA344NA1NA1
Liu et al, 2020 [15]Yes (10)6101NA1NANA
Wang et al, 2020 [16]Yes (1)No1NANANANANA
Wang et al, 2020 [17]Yes (1)Yes1NANANANANA
Zhu et al, 2020 [18]NANA81NANANANA
Liu et al, 2020 [19]Yes (3) No22NANANANA
Iqbal et al, 2020 [20]NoNo11NANA1NA
Chen et al, 2020 [21]NANA02NANANANA
Chen et al, 2020 [22]NANA32NA12NA
Dong et al, 2020 [23]YesNo1NA1NANANA
Fan et al, 2020 [24]NoYes (2)2NANANANANA
Karami et al, 2020a [24]NANA11NANA1NA
Khan et al, 2020 [26]NANA231NANANA
Lee et al, 2020 [27]NANA110NANANA
Li et al, 2020 [28]NANA4010NANA
Liu et al, 2020 [29]NANA96NANA33
Yu et al, 2020 [30]Yes (7)No61NA1NA1
Peng et al, 2020 [31]NANA1NANA1NANA
Wu et al, 2020 [32]NoYes (3)46NANANANA
Xiong et al, 2020 [33]Yes (1)No11NANANANA
Yang et al, 2020 [34]Yes (7)No51NANANA1
Zambrano et al, 2020 [35]NoYes (1)11NANA1NA
Li et al, 2020 [36]YesYes (1)01NA1NANA

Abbreviation: NA, not available.

aStudy retracted.

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Forest plot of the clinical characteristics present at time of admission. Abbreviations: CI, confidence interval; Ev, xxx; Trt, xxx.

Laboratory and Radiological Findings

Table 4 describes the laboratory and radiologic findings on admission. The mean lymphocyte count was 1.233 × 109 cells/L (95% CI, .991–1.475; I2 = 76.09%). The pooled mean leukocyte count was 10.438 × 109 cells/L (95% CI, 8.744–12.132; I2 = 0%). Lymphocytopenia was present in 36 patients, with a pooled proportion of 50% (95% CI, .331–.669; I2 = 39.44%), and no cases of leukopenia were identified. However, elevated neutrophil levels were reported in 67.8% of the patients (95% CI, .478–.829; I2 = 0%). More than half of the patients had elevated levels of C-reactive protein, with a pooled proportion of 57% (95% CI, .454–.678; I2 = 0%), which ranged from 2.975 to 32.28 mg/L; less commonly encountered were elevations in the levels of alanine aminotransferase (ALT) (22.3% [95% CI, .123–.369]; I2 = 0%), aspartate aminotransferase (AST) (23.3% [95% CI, .128–.386]; I2 = 0%), and a D-dimer ratio that ranged between 840 and 1710 μg/L. The mean level of ALT was 48.345 U/L (95% CI, –3.293 to 99.984; I2 = 99.94%), while the mean AST level was 34.114 U/L (95% CI, 22.972–45.256; I2 = 95.53%) (Figure 2).

Table 4.

Radiologic and Laboratory Findings on Admission

Author, YearGGO, No.Infiltrated Shadows, No.Subpleural, No.Lymphocytes, ×109/LNeutrophils, ×109/LLeukocytosis, ×109/LCRP, mg/LALT, U/LAST, U/L
Chen et al, 2020 [13]6111.18NANA18.61253.78171
Chen et al, 2020 [14]NANANA1.22NA10.927.220.623.4
Liu et al, 2020 [15]NANANANANANANANANA
Wang et al, 2020 [16]1NANA0.979.97NA11.5NANA
Wang et al, 2020 [17]1NANA0.869.1410.619.6NANA
Zhu et al, 2020 [18]NANANANANANANANANA
Liu et al, 2020 [19]3NANA4.877.929.9213.19.8320.6
Iqbal et al, 2020 [20]1NANA1.18.8NA25.62324
Chen et al, 2020 [21]5NANA1.249.54NA32.2810.2620.22
Chen et al, 2020 [22]4NANA0.94.68NA26.7521.7526.5
Dong et al, 2020 [23]1NANA1.086.57NA574038
Fan et al, 2020 [24]11NANANANANANANA
Karami et al, 2020a [25]1NANA0.72NA3316852
Khan et al, 2020 [26]3NANA1.64NANA17.310.6723.33
Lee et al, 2020 [27]1NANANANANA1.5NANA
Li et al, 2020 [28]16NANA1.56.6NA4.811.616.3
Liu et al, 2020 [29]NANANANANANANANANA
Yu et al, 2020 [30]7NANANANANA31.79NANA
Peng et al, 2020 [31]1NANANANANANANANA
Wu et al, 2020 [32]23NANANANANA2.975NANA
Xiong et al, 2020 [33]01NA1.91NANA21.81521
Yang et al, 2020 [34]7NANANANANANANANA
Zambrano et al, 2020 [35]NANANANANANANANANA
Li et al, 2020 [36]NA1NA1.17.18.718.591519

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; CRP, C-reactive protein; GGO, ground glass opacity; NA, not available.

aStudy retracted.

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Forest plot of the laboratory findings present at time of admission. Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; CI, confidence interval.

Of 136 chest CT scans performed at the time of admission, 98% revealed abnormal results. The most common pattern seen on chest CT scan was ground-glass opacity (GGO) and was present in 81.7% of patients (95% CI, .701–.895; I2 = 0%). Of the 82 patients who presented with GGO, 52 patients presented with bilateral GGO and 10 patients presented with unilateral GGO. There were no specific data regarding the classification of the location of the GGO in the 20 remaining patients. The second most common pattern on chest CT was infiltrated shadows, seen in 42.5% (95% CI, .126–.791; I2 = 29.55%) (Figure 3).

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Forest plot of the radiological findings present at time of admission. Abbreviations: CI, confidence interval; Ev, xxx; Trt, xxx.

Treatments Provided and Maternal Outcomes

Most patients were delivered via a cesarean delivery with a rate of 76.3% (95% CI, .658–.842; I2 = 10.24%). Fifty-nine patients received antibiotic therapy (87.7% [95% CI, .755–.943]; I2 = 0%) and 45 patients received antiviral therapy (67.5% [95% CI, .484–.821]; I2 = 33.44%). Details of antiviral therapy are provided in Table 5. Oxygen therapy, either through nasal cannula or face mask, was administered in 36 patients (73.1% [95% CI, .391–.920]; I2 = 57.64%) (Table 5). Fifteen patients received corticosteroids (50.5% [95% CI, .285–.723]; I2 = 30.81%), of which 5 patients received betamethasone. Specific indication for use of corticosteroid administration included fetal lung maturation, acute flare of autoimmune disease, prophylaxis for pneumonia, pneumonia, and to relieve inflammation. Two patients required intubation and mechanical ventilation due to multiorgan failure. One woman died due to multiorgan failure and acute respiratory distress syndrome (ARDS) (mortality, 11.1% [95% CI, .063–.187]; I2 = 0%). As shown in Table 5, premature rupture of membrane, fetal distress, and stillbirth were the most common complications during pregnancy.

Table 5.

Treatments and Pregnancy-related Complications

Author, YearCesarean Delivery, No.Antiviral Therapy, No.Specific Antiviral MedicationsAntibiotic Therapy, No.Oxygen Therapy, No.Mechanical Ventilation, No.Premature Membrane Rupture, No.Fetal Distress, No.Stillbirth, No.
Chen et al, 2020 [13]96NA990220
Chen et al, 2020 [14]17NANANANA0NANANA
Liu et al, 2020 [15]10NANANANA1131
Wang et al, 2020 [16]11Recombinant human IFNNANA0000
Wang et al, 2020 [17]11Lopinavir and ritonavirNANA0001
Zhu et al, 2020 [18]75Oral oseltamivirNANA0300
Liu et al, 2020 [19]23Arbidol (n = 2) Atomized inhalation of IFN (n = 1)230000
Iqbal et al, 2020 [20]0NANANANA0000
Chen et al, 2020 [21]20NA500000
Chen et al, 2020 [22]3NANANANA0NANANA
Dong et al, 2020 [23]11NA110000
Fan et al, 2020 [24]22Oral oseltamivir2NA0000
Karami et al, 2020a [25]01Oseltamivir, lopinavir/ritonavir, hydroxychloroquine111000
Khan et al, 2020 [26]03NA330000
Lee et al, 2020 [27]1NANANANA0000
Li et al, 2020 [28]141NA1600100
Liu et al, 2020 [29]1011NA11110NANANA
Yu et al, 2020 [30]77NA770000
Peng et al, 2020 [31]11IFN nebulization, oral lopinavir110NANANA
Wu et al, 2020 [32]18NANANANA0NANANA
Xiong et al, 2020 [33]01NA1NA0100
Yang et al, 2020 [34]7NANANANA0NANANA
Zambrano et al, 2020 [35]0NANANANA0NANANA
Li et al, 2020 [36]11Lopinavir, ritonavirNANA0NANANA

Abbreviations: IFN, interferon; NA, not available.

aStudy retracted.

Neonatal Outcomes

All neonates were all delivered in a negative-pressure isolation room, and all studies reported separation and lack of contact between the mothers and the neonates. Thirty-one of 94 neonates were delivered preterm (<37 weeks) (37.7% of neonates [95% CI, .269–.500]; I2 = 10.77%). Five newborns were delivered early preterm (<34 weeks). The birthweight of the neonates averaged 3127.639 g (95% CI, 2941.238–3314.041; I2 = 84.44%). The neonatal clinical characteristics and laboratory findings, as well as the perinatal complications, are shown in Table 6. The white blood cell count averaged 15.303 (95% CI, 12.852–17.755; I2 = 38.02%). In addition, the procalcitonin averaged 0.289 (95% CI, .211–.366; I2 = 0%). The hemoglobin concentration averaged 174.109 g/L (95% CI, 163.535–184.683; I2 = 33.82%), and the mean platelet count was 224.297 × 109 cells/L (95% CI, 191.729–256.866; I2 = 68.91%). In addition, the ALT and AST averaged 11.627 U/L (95% CI, 7.322–15.933; I2 = 67.95%) and 52.232 U/L (95% CI, 39.202–65.263; I2 = 20.05%), respectively. Elevated levels of AST were identified in 56.1% (95% CI, .321–.776; I2 = 0%) of patients. The lymphocyte and neutrophil counts averaged 3.278 × 109 cells/L (95% CI, 2.627–3.928; I2 = 0%) and 10.416 × 109 cells/L (95% CI, 7.495–13.338; I2 = 51.79%), respectively (Figure 4). Two newborns tested positive for COVID-19 (11.5% [95% CI, .067–.192]; I2 = 0). Both neonates were delivered via cesarean delivery. The amniotic fluid, placenta fluid, umbilical cord, and gastric juice were all tested for COVID-19 and tested negative in all the studies. The Apgar score at 1 minute was 8.811 (95% CI, 8.382–9.240; I2 = 88.87%) and at 5 minutes was 9.516 (95% CI, 9.136–9.895; I2 = 82.91%). In addition, no severe neonatal asphyxia occurred in any of the neonates across the studies. Three fetal deaths were reported; their respective gestational ages were 34 weeks, 31 weeks, and 30 weeks. Neonatal intensive care unit admission occurred in 63.7% (95% CI, .378–.835; I2 = 29.38%) of patients. The fetal death rate was 11.7% (95% CI, .068–.192; I2 = 0%) (Figure 5). Two neonatal deaths were due to multiple organ failure and disseminated intravascular coagulation. The third neonatal death occurred immediately after delivery. The neonate was cyanotic and had an Apgar score of 0 at 1 and 5 minutes, respectively.

Table 6.

Clinical Characteristics and Laboratory Findings of Neonates Born to Clinically Symptomatic Mothers

Author, YearMean Gestational Age at Birth, wkMean Weight at Birth, gHb, g/LPlatelets, ×109/LALT, U/LAST, U/LApgar Score at 1 MinApgar Score at 5 MinPreterm labor (<37 wk), No.COVID-19 Testing of Respiratory TractNICU Care, No.
Chen et al, 2020 [13]37.113011NANANANA9104NegativeNA
Chen et al, 2020 [14]NA3030NANANANA9103Negative17
Liu et al, 2020 [15]NANANANANANA9NA6NegativeNA
Wang et al, 2020 [16]40NANANANA14389NAPositiveNA
Wang et al, 2020 [17]301830NANANANA9101NegativeNA
Zhu et al, 2020 [18]352423166.3218.57.9845.05996NegativeNA
Liu et al, 2020 [19]383390171187.6717.6710789NANegativeNA
Iqbal et al, 2020 [20]NANANANANANA890Negative1
Chen et al, 2020 [21]393691NANANANA1010NANegativeNA
Chen et al, 2020 [22]37.753400181.7253.3314.676089NANegative2
Dong et al, 2020 [23]NA3120NANA1165910NANegative1
Fan et al, 2020 [24]NA3145NANANANA910NANegativeNA
Karami et al, 2020a [25]NANANANANANA00NANegativeNA
Khan et al, 2020 [26]NA3373NANANANA8.679.671NegativeNA
Lee et al, 2020 [27]NA3130NANANANA9101Negative1
Li et al, 2020 [28]383078NANANANA9.6104NegativeNA
Liu et al, 2020 [29]NANANANANANANA9NANegativeNA
Yu et al, 2020 [30]NA3264NANANANA8–99–100Positive0
Peng et al, 2020 [31]352600NANANANA9101Negative1
Wu et al, 2020 [32]NANANANANANANA9–10NANegativeNA
Xiong et al, 2020 [33]383070NANA9539100Negative0
Yang et al, 2020 [34]36.712096NANA11.2598.299.292Negative5
Zambrano et al, 2020 [35]321500NANANANANANA1NegativeNA
Li et al, 2020 [36]35NANANANANANANA1NegativeNA

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; COVID-19, coronavirus disease 2019; Hb, hemoglobin; NA, not available; NICU, neonatal intensive care unit.

aStudy retracted.

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Forest plot of neonatal laboratory findings present after birth. Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; CI, confidence interval.

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Forest plot of neonatal outcomes after birth. Abbreviations: CI, confidence interval; COVID-19, coronavirus disease 2019; NICU, neonatal intensive care unit.

DISCUSSION

SARS-CoV-2 is a highly infective virus causing the greatest pandemic of the century. As of now, we are in the midst of it, seeking to determine treatments and novel ways to manage this deadly disease. In this contemporary meta-analysis, we have concluded the following: (1) Pregnant patients with COVID-19 most commonly present with fever, dry cough, and sore throat; (2) the most common radiological finding in this group of patients was the presence of GGO on CT; and (3) the perinatal risk is great, as the risk of prematurity and cesarean delivery are high. To our knowledge, this is the largest meta-analysis of its kind to describe the effects of COVID-19 on pregnancy. We believe that this study provides insight for developing the backbone for counseling and management of pregnant patients at risk for acquiring the disease.

The immunosuppressed state of pregnancy confers high risk for the development of severe complications of infectious diseases, such as influenza and severe acute respiratory syndrome (SARS) [37]. During the SARS pandemic of 2003, 40% of affected pregnant women required mechanical ventilation and had a case-fatality rate of 30%, compared to 13% and 11%, respectively, of a nonpregnant cohort [38]. Interestingly, our study did not demonstrate significantly worsened outcomes in COVID-19–affected pregnant patients when compared to nonpregnant patients reported in the literature. Our population has similar clinical presentations, laboratory abnormalities, and radiological findings compared with infected nonpregnant cohorts in the current literature [39]. Additionally, the maternal complication rate seems to be comparable to nonpregnant adults [39]. One theory is that the immunologic adaptations of pregnancy that help mothers from rejecting the fetus, a foreign entity containing paternal antigens, may also aid in mounting a less robust immune response to the virus, consequently leading to less destructive effects on the body [40]. Another is that pregnancy-related organ adaptive changes may result in protection against the virus and its effects [40].

Within our subset of 136 SARS-CoV-2–infected pregnant women, a single case of maternal death secondary to ARDS and multiorgan failure was reported, resulting in a considerably lower mortality rate in comparison to previous pandemics. Moreover, with 2 patients requiring intubation and mechanical ventilation, morbidity appeared to be lower than anticipated. Although a proportion of women had comorbidities present, some of which were obstetrical in etiology, they still did not experience life-threatening manifestations of COVID-19. A recently published case series described 2 cases of COVID-19–related cardiomyopathy in pregnant women [41]. However, both of these patients possessed multiple risk factors for cardiac disease, and it remained unclear as to whether cardiomyopathy occurred as a direct complication of COVID-19, or secondary to multiorgan dysfunction. Another interesting observation was the high rate of preterm birth in this group of patients, much higher than the general pregnant population (12% in the United States and lower in other developed countries). A direct causal link between infection and premature labor has been well established in the literature [42], and it is estimated that at least 40% of premature births are associated with intrauterine infection or inflammation [43]. Additionally, the high rate of cesarean delivery should not go unnoticed. Three-quarters of infected patients underwent a cesarean delivery, more than double that of the general pregnant population. Cesarean delivery, while a commonly procedure worldwide, is still a major surgery with significantly higher morbidity than a vaginal delivery, both in the short term, such as infections and bleeding, and in the long term, such as the risk of development of placenta accreta spectrum disorder in future pregnancy.

It is difficult to make conclusions on the risk of having a pregnancy affected by COVID-19 or pregnancy that is not, owing to the heterogeneity of the studies included in this meta-analysis. Although in the reported cases most neonates fared well, with the exception of 3 of them, the most worrying aspect of our finding is the high rate of preterm birth. Prematurity in and of itself is the most common cause of morbidity and mortality in neonates worldwide, both short-term and long-term. Since the immunological immaturity of neonates renders them susceptible to infections, vertical transmission is a particularly concerning complication of viral infections that occur during pregnancy [44]. In all cases, the amniotic fluid, placenta, and umbilical cord samples all tested negative for SARS-CoV-2, while 2 neonates had RT-PCR–confirmed SARS-CoV-2 infection. Based on these findings, it is impossible to conclude that these neonates acquired the infection during fetal life. Three neonatal deaths with gestational ages of 34 weeks, 31 weeks, and 30 weeks were reported in our analysis. Two fetal deaths occurred due to multiple organ failure and disseminated intravascular coagulation, and the third was a perinatal death occurring within 24 hours of birth. This is an alarming finding as neonates born at this gestational age typically have low death rates; however, due to insufficient information in the respective reports, we could not conclusively contribute these deaths to COVID-19–related complications. Previous studies on other coronavirus infections, such as Middle East respiratory syndrome and SARS coronaviruses, have demonstrated a lack of vertical transmission in pregnant women [45, 46]. Although the occurrence of vertical transmission at present seems rather unlikely, the significant implication in potentially leading to preterm birth and neonatal infection warrants continued investigation. Additionally, given the uncertainty of long-term neonatal outcomes in COVID-19, neonates should be monitored for any possible congenital defects.

Vaginal delivery and the interventions that may occur during the process, such as rupture of membranes, episiotomy, and placement of internal fetal monitors, play an important role in vertical transmission via the transplacental route of certain maternal infections to the fetus, namely blood-borne infections such as human immunodeficiency virus and hepatitis B and C [47]. In our study, both fetal COVID-19–confirmed cases were delivered via cesarean delivery. However, due to the small sample size for patients who delivered vaginally (n = 18), it is difficult to make any conclusions in that regard. Further studies should attempt to delineate these 2 groups for clarification. This is an important issue that obstetricians should take into account when considering the course of treatment for any patient with a confirmed viral infection.

Recently published reviews on this topic have reported similar findings [48–50]. However, unlike the present review, no categorization was made regarding the specific CT findings. The strengths of our study are as follows: (1) This is the largest study of its kind to date to explore pregnancy and perinatal outcomes of SARS-CoV-2 infections; (2) the patients and their neonates who were included had confirmed positive or negative RT-PCR SARS-CoV-2, preventing any uncertainty regarding the group of patients who had a clinical presentation but were not representative of the entire cohort; (3) to our knowledge, this is the first meta-analysis to look at the pooled effect of COVID-19 across all eligible studies; and (4) our study reports medication use for treatment of COVID-19 that includes antiviral therapy and corticosteroid use in more depth than existing studies.

Our systematic review and meta-analysis has some limitations. The main limitation is primarily the lack of high-quality data in the included studies. Due to the urgent timeline for data extraction and the complications requiring preterm labor, some cases had incomplete documentation of the epidemiological history, laboratory testing, and outcomes. In addition, our meta-analysis had a limited number of studies, most of which were either case series or case reports. This makes it difficult to draw any conclusions regarding clinical presentation and outcomes of patients. Additionally, patients who were asymptomatic or had mild cases and who did not require hospitalization were not accounted for due to publication bias. Last, due to the nature of the virus and the urgent need for more studies, our meta-analysis might have missed studies that were recently published in the literature, particularly in languages other than English.

As this global pandemic continues to spread, there will be a need for additional information on the effects of COVID-19 on pregnant women and their infants. Sufficiently understanding the clinical presentations and outcomes of SARS-CoV-2 infection among pregnant women and their neonates, along with pathological and molecular characterization of the virus, is valuable in determining the disease trajectory within this subset of patients. Currently, the American College of Obstetricians and Gynecologists has developed an algorithm to aid practitioners in evaluating and treating pregnant women with known exposure or symptoms consistent with COVID-19 infection [51]. The algorithm includes assessing patients’ symptoms such as fever and cough; conducting an illness severity assessment; and, based on degree of severity, assessing clinical and social risks [51]. With the disease burden increasing every day, the probability of a second wave of COVID-19 infection this upcoming winter, and the ongoing debate regarding whether pregnant front-line healthcare workers should continue working, are important matters that will hopefully be answered as more studies emerge. This review aims to provide physicians with an understanding of the clinical presentation and outcomes of pregnant women with confirmed COVID-19 and their neonates, to help them make better decisions when devising a counseling and treatment plan for their patients.

In summary, this meta-analysis demonstrates that pregnant women with COVID-19 have similar clinical characteristics and outcomes as the nonpregnant population and there appears to be little evidence of vertical transmission. However, when compared to the general pregnant population, infected women are at significantly higher risk for cesarean delivery and preterm birth. We urge obstetricians to continue reporting their data, especially that of asymptomatic patients or those with mild disease, so we are better able to understand this novel virus and hopefully improve outcomes.

Supplementary Data

Supplementary materials are available at Clinical Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

ciaa828_suppl_Supplementary_Item_1

Notes

Author contributions. R. M. and N. M. conceived the study, searched the literature, extracted the data, assessed the quality of the studies, and drafted the manuscript. D. G. searched the literature. R. M. and M. H. M. performed the statistical analysis and drafted the manuscript. L. A., L. D., E. B., J. F., and F. F. drafted the manuscript. All authors read and approved the final manuscript.

Acknowledgments. The authors thank Daniella Gerberi for the literature search. This review does not contain any studies with human participants or animals.

Potential conflicts of interest. The authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.

References

1. Huang C, Wang Y, Li X, et al. . Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395:497–506. [Europe PMC free article] [Abstract] [Google Scholar]
2. Lu R, Zhao X, Li J, et al. . Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 2020; 395:565–74. [Europe PMC free article] [Abstract] [Google Scholar]
3. World Health Organization. Coronavirus disease (COVID-19) outbreak Available at: https://www.who.int. Accessed 25 April 2020.
4. World Health Organization. Coronavirus disease (COVID-19) situation report 154 Available at: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200622-covid-19-sitrep-154.pdf?sfvrsn=d0249d8d_2. Accessed 22 June 2020.
5. Chen N, Zhou M, Dong X, et al. . Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 2020; 395:507–13. [Europe PMC free article] [Abstract] [Google Scholar]
6. Wang D, Hu B, Hu C, et al. . Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. JAMA 2020; 323:1061–9. [Europe PMC free article] [Abstract] [Google Scholar]
7. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JAMA 2020; 323:1239–42. [Abstract] [Google Scholar]
8. Guan W, Ni Z, Hu Y, et al. . Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; 382:1708–20. [Europe PMC free article] [Abstract] [Google Scholar]
9. Lu X, Zhang L, Du H, et al. . SARS-CoV-2 infection in children. N Engl J Med 2020; 382:1663–5. [Europe PMC free article] [Abstract] [Google Scholar]
10. Murad MH, Sultan S, Haffar S, Bazerbachi F. Methodological quality and synthesis of case series and case reports. BMJ Evid Based Med 2018; 23:60–3. [Europe PMC free article] [Abstract] [Google Scholar]
11. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials 1986; 7:177–88. [Abstract] [Google Scholar]
12. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003; 327:557–60. [Europe PMC free article] [Abstract] [Google Scholar]
13. Chen H, Guo J, Wang C, et al. . Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records. Lancet 2020; 395:809–15. [Europe PMC free article] [Abstract] [Google Scholar]
14. Chen R, Zhang Y, Huang L, Cheng B, Xia Z, Meng Q. Safety and efficacy of different anesthetic regimens for parturients with COVID-19 undergoing cesarean delivery: a case series of 17 patients. Can J Anaesth 2020; 67:655–63. [Europe PMC free article] [Abstract] [Google Scholar]
15. Liu Y, Chen H, Tang K, Guo Y. Clinical manifestations and outcome of SARS-CoV-2 infection during pregnancy [manuscript published online ahead of print 4 March 2020]. J Infect 2020. 10.1016/j.jinf.2020.02.028. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
16. Wang S, Guo L, Chen L, et al. . A case report of neonatal COVID-19 infection in China [manuscript published online ahead of print 12 March 2020]. Clin Infect Dis 2020. 10.1093/cid/ciaa225. [CrossRef] [Google Scholar]
17. Wang X, Zhou Z, Zhang J, Zhu F, Tang Y, Shen X. A case of 2019 novel coronavirus in a pregnant woman with preterm delivery [manuscript published online ahead of print 28 March 2020]. Clin Infect Dis 2020. 10.1093/cid/ciaa200. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
18. Zhu H, Wang L, Fang C, et al. . Clinical analysis of 10 neonates born to mothers with 2019-nCoV pneumonia. Transl Pediatr 2020; 9:51–60. [Europe PMC free article] [Abstract] [Google Scholar]
19. Liu W, Wang Q, Zhang Q, et al. . Coronavirus disease 2019 (COVID-19) during pregnancy: a case series. Preprints.org [Preprint] Posted 25 February 2020. Available at: https://www.preprints.org/manuscript/202002.0373/v1. Accessed 4 May 2020.
20. Iqbal SN, Overcash R, Mokhtari N, et al. . An uncomplicated delivery in a patient with Covid-19 in the United States. N Engl J Med 2020; 382:e34. [Europe PMC free article] [Abstract] [Google Scholar]
21. Chen S, Liao E, Cao D, Gao Y, Sun G, Shao Y. Clinical analysis of pregnant women with 2019 novel coronavirus pneumonia [manuscript published online ahead of print 28 March 2020]. J Med Virol 2020. 10.1002/jmv.25789. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
22. Chen Y, Peng H, Wang L, et al. . Infants born to mothers with a new coronavirus (COVID-19). Front Pediatr 2020; 8:104. [Europe PMC free article] [Abstract] [Google Scholar]
23. Dong L, Tian J, He S, et al. . Possible vertical transmission of SARS-CoV-2 from an infected mother to her newborn. JAMA 2020; 323:1846–8. [Europe PMC free article] [Abstract] [Google Scholar]
24. Fan C, Lei D, Fang C, et al. . Perinatal transmission of COVID-19 associated SARS-CoV-2: should we worry? [manuscript published online ahead of print 27 March 2020]. Clin Infect Dis 2020. 10.1093/cid/ciaa226. [CrossRef] [Google Scholar]
25. Karami P, Naghavi M, Feyzi A, et al. . WITHDRAWN: Mortality of a pregnant patient diagnosed with COVID-19: a case report with clinical, radiological, and histopathological findings [manuscript published online ahead of print 11 April 2020]. Travel Med Infect Dis 2020. 10.1016/j.tmaid.2020.101665. Retracted. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
26. Khan S, Peng L, Siddique R, et al. . Impact of COVID-19 infection on pregnancy outcomes and the risk of maternal-to-neonatal intrapartum transmission of COVID-19 during natural birth. Infect Control Hosp Epidemiol 2020; 41:748–50. [Europe PMC free article] [Abstract] [Google Scholar]
27. Lee DH, Lee J, Kim E, Woo K, Park HY, An J. Emergency cesarean section on severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2) confirmed patient [manuscript published online ahead of print 31 March 2020]. Korean J Anesthesiol 2020. 10.4097/kja.20116. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
28. Li N, Han L, Peng M, et al. . Maternal and neonatal outcomes of pregnant women with COVID-19 pneumonia: a case-control study [manuscript published online ahead of print 30 March 2020]. Clin Infect Dis 2020. 10.1093/cid/ciaa352. [Europe PMC free article] [Abstract] [Google Scholar]
29. Liu D, Li L, Wu X, et al. . Pregnancy and perinatal outcomes of women with coronavirus disease (COVID-19) pneumonia: a preliminary analysis [manuscript published online ahead of print 18 March 2020]. AJR Am J Roentgenol 2020. 10.2214/AJR.20.23072. [Abstract] [CrossRef] [Google Scholar]
30. Yu N, Li W, Kang Q, et al. . Clinical features and obstetric and neonatal outcomes of pregnant patients with COVID-19 in Wuhan, China: a retrospective, single-centre, descriptive study. Lancet Infect Dis 2020; 20:559–64. [Europe PMC free article] [Abstract] [Google Scholar]
31. Peng Z, Wang J, Mo Y, et al. . Unlikely SARS-CoV-2 vertical transmission from mother to child: a case report. J Infect Public Health 2020; 13:818–20. [Europe PMC free article] [Abstract] [Google Scholar]
32. Wu X, Sun R, Chen J, Xie Y, Zhang S, Wang X. Radiological findings and clinical characteristics of pregnant women with COVID-19 pneumonia. Int J Gynaecol Obstet 2020; 150:58–63. [Europe PMC free article] [Abstract] [Google Scholar]
33. Xiong X, Wei H, Zhang Z, et al. . Vaginal delivery report of a healthy neonate born to a convalescent mother with COVID-19 [manuscript published online ahead of print 10 April 2020]. J Med Virol 2020. 10.1002/jmv.25857. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
34. Yang P, Wang X, Liu P, et al. . Clinical characteristics and risk assessment of newborns born to mothers with COVID-19. J Clin Virol 2020; 127:104356. [Europe PMC free article] [Abstract] [Google Scholar]
35. Zambrano LI, Fuentes-Barahona IC, Bejarano-Torres DA, et al. . A pregnant woman with COVID-19 in Central America [manuscript published online ahead of print 25 March 2020]. Travel Med Infect Dis 2020. 10.1016/j.tmaid.2020.101639. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
36. Li Y, Zhao R, Zheng S, et al. . Lack of vertical transmission of severe acute respiratory syndrome coronavirus 2, China. Emerg Infect Dis 2020; 26:1335–6. [Europe PMC free article] [Abstract] [Google Scholar]
37. Kourtis AP, Read JS, Jamieson DJ.. Pregnancy and infection. N Engl J Med 2014; 370:2211–8. [Europe PMC free article] [Abstract] [Google Scholar]
38. Lam CM, Wong SF, Leung TN, et al. . A case-controlled study comparing clinical course and outcomes of pregnant and non-pregnant women with severe acute respiratory syndrome. BJOG 2004; 111:771–4. [Europe PMC free article] [Abstract] [Google Scholar]
39. Yang H, Wang C, Poon LC. Novel coronavirus infection and pregnancy. Ultrasound Obstet Gynecol 2020; 55:435–7. [Europe PMC free article] [Abstract] [Google Scholar]
40. Jamieson DJ, Theiler RN, Rasmussen SA. Emerging infections and pregnancy. Emerg Infect Dis 2006; 12:1638–43. [Europe PMC free article] [Abstract] [Google Scholar]
41. Juusela A, Nazir M, Gimovsky M, et al. . Two cases of coronavirus 2019–related cardiomyopathy in pregnancy. Am J Obstet Gynecol MFM 2020; 2:100113. [Europe PMC free article] [Abstract] [Google Scholar]
42. Romero R, Mazor M, Munoz H, Gomez R, Galasso M, Sherer DM. The preterm labor syndrome. Ann N Y Acad Sci 1994; 734:414–29. [Abstract] [Google Scholar]
43. Lamont RF. Infection in the prediction and antibiotics in the prevention of spontaneous preterm labour and preterm birth. BJOG 2003; 110(Suppl 20):71–5. [Abstract] [Google Scholar]
44. Huleihel M, Golan H, Hallak M. Intrauterine infection/inflammation during pregnancy and offspring brain damages: possible mechanisms involved. Reprod Biol Endocrinol 2004; 2:17. [Europe PMC free article] [Abstract] [Google Scholar]
45. Li AM, Ng PC. Severe acute respiratory syndrome (SARS) in neonates and children. Arch Dis Child Fetal Neonatal Ed 2005; 90:F461–5. [Europe PMC free article] [Abstract] [Google Scholar]
46. Stockman LJ, Lowther SA, Coy K, Saw J, Parashar UD. SARS during pregnancy, United States. Emerg Infect Dis 2004; 10:1689–90. [Europe PMC free article] [Abstract] [Google Scholar]
47. Silasi M, Cardenas I, Kwon JY, Racicot K, Aldo P, Mor G. Viral infections during pregnancy. Am J Reprod Immunol 2015; 73:199–213. [Europe PMC free article] [Abstract] [Google Scholar]
48. Zaigham M, Andersson O. Maternal and perinatal outcomes with COVID‐19: a systematic review of 108 pregnancies. Acta Obstet Gynecol Scand 2020; 99:823–9. [Europe PMC free article] [Abstract] [Google Scholar]
49. Di Mascio D, Khalil A, Saccone G, et al. . Outcome of coronavirus spectrum infections (SARS, MERS, COVID 1 -19) during pregnancy: a systematic review and meta-analysis [manuscript published online ahead of print 25 March 2020]. Am J Obstet Gynecol MFM 2020. 10.1016/j.ajogmf.2020.100107. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
50. Parazzini F, Bortolus R, Mauri PA, Favilli A, Gerli S, Ferrazzi E. Delivery in pregnant women infected with SARS-CoV-2: a fast review. Int J Gynaecol Obstet 2020; 150:41–6. [Europe PMC free article] [Abstract] [Google Scholar]
51. American College of Obstetricians and Gynecologists. COVID-19 algorithm Available at: https://www.acog.org/-/media/project/acog/acogorg/files/pdfs/clinical-guidance/practice-advisory/covid-19-algorithm.pdf?la=en&hash=2D9E7F62C97F8231561616FFDCA3B1A6. Accessed 24 April 2020.

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