Skip to main content
Heliyon logoLink to Heliyon
. 2021 Mar 2;7(3):e06393. doi: 10.1016/j.heliyon.2021.e06393

Impact of SARS-CoV-2 on the clinical outcomes and placental pathology of pregnant women and their infants: A systematic review

Irina Oltean a, Jason Tran b, Sarah Lawrence a,b,c, Brittany Ann Ruschkowski b, Na Zeng b, Cameron Bardwell b, Youssef Nasr b, Joseph de Nanassy a,b,d, Dina El Demellawy a,b,d,
PMCID: PMC7923950  PMID: 33688585

Abstract

Pregnant women are susceptible to viral infections due to physiological changes such as cell-mediated immunity. No severe adverse pregnancy or neonatal outcomes have been consistently reported in 2019 novel coronavirus disease (COVID-19) positive pregnancy cases. There are controversies around the role of COVID-19 in pregnancy. A systematic review was conducted to examine clinical maternal and neonatal clinical outcomes. Studies were included if they reported SARS-CoV-2 infection among pregnant women and/or COVID-19 positive neonates as validated by positive antibody testing or viral testing using polymerase chain reaction. Case series, case reports, case-control studies, and comparative studies were included. Eight hundred and thirty-seven records were identified, resulting in 525 records for level I screening. Forty-one were included after full-text review. Results suggest elevated rates of intensive care unit (ICU) admission, gestational diabetes, preeclampsia, C-sections, pre-term birth, and C-reactive protein (CRP) in comparison to pregnant women without SARS-CoV-2. Careful monitoring of pregnancies with SARS-CoV-2 is recommended.

Keywords: SARS-CoV-2, COVID-19, Pregnant women, Placental pathology, Neonates, Placenta diseases


SARS-CoV-2; COVID-19; Pregnant women; Placental pathology; Neonates; Placenta diseases.

1. Introduction

On January 30, 2020, the World Health Organization (WHO) declared the SARS-CoV-2 outbreak a public health emergency of international concern. Not two months later, the WHO characterized SARS-CoV-2 as a pandemic, reflecting its worldwide spread [1]. Although the virus is prevalent across all age groups, individuals that are immune-compromised such as the elderly and those with comorbidities are disproportionally affected with respect to severity of symptoms [2, 3]. Pregnant women and their foetuses are particularly susceptible to infections such as pneumonia, pyelonephritis, and periodontal disease due to physiological changes such as cell-mediated immunity, immaturity of the adaptive immune system, and dysregulation of cytokines [4, 5, 6, 7].

The vertical transmission of SARS-CoV-2 virus and its impact on neonatal clinical outcome has yet to be confirmed [8], however, several newborns have tested positive for SARS-CoV-2 [9, 10, 11]. Perinatal SARS-CoV-2 infection may not have the same adverse effects on neonatal outcome, including problems such as respiratory distress, thrombocytopenia accompanied by abnormal liver function, and even death in contrast to severe acute respiratory syndrome (SARS) and middle eastern respiratory syndrome (MERS) [12, 13]. Moreover, no severe adverse pregnancy outcomes, such as gestational hypertension, intrauterine growth restrictions, fetal distress, or stillbirth have been consistently reported in COVID-19 positive pregnancy cases [14, 15, 16]. Additional data needs to be accumulated to examine clinical outcomes of women infected with SARS-CoV-2 and their babies [12].

Given the inconclusive clinical findings, it is appropriate to conduct a systematic review on the evidence around placental pathology and SARS-CoV-2 to help contribute to the understanding of this disease and its impact on pregnancy. At present, relevant literature has relatively small sample sizes and results are diverse, inhibiting generalizability. As such, we aimed to conduct a systematic review of available literature to illustrate findings in a narrative fashion pertaining to SARS-CoV-2 on placental pathology, maternal, and neonatal outcomes.

2. Methods

2.1. Search strategy and selection criteria

This is a systematic review only. The following databases were searched: MEDLINE including Epub Ahead of Print, In-Process & Other Non-Indexed Citations (1946–April 17, 2020) and Embase (1947–April 17, 2020) using the Ovid interface and Global Health (from inception) using the CAB Direct interface. Searches were developed and conducted by librarian experienced in systematic reviews, using a method designed to optimize term selection [17] and the MEDLINE search was peer reviewed by a second librarian before being translated for the other databases.

A search of Google Scholar (April 8th, 2020) through Publish or Perish was screened until 50 consecutive apparently irrelevant citations were found. Results to that point were saved as an RIS file and edited to remove patents, reports, and books. The WHO database on COVID-19 as of April 17th, 2020 was downloaded and searched within Reference Manager. Disaster Lit: Database for Disaster Medicine and Public Health, MedRxiv and OSF Preprints were searched April 19th, 2020 and relevant publications were selected and downloaded. Search strategies are presented in the supplementary file. Search alerts for MEDLINE, Embase and Google Scholar were in place throughout the review to identify newly emerging research.

After duplicate records were removed online, records retrieved by the electronic search were downloaded and imported into a Reference Manager database, and then uploaded to InsightScope [(www.insightscope.ca)] for title and abstract screening and full text review. Prior to gaining access to the full set of citations, each reviewer (JT, BR, CB, and YN) screened a test set of 50 citations (containing 5 true positives, 45 true negatives) requiring accuracy of ≥ 80% to qualify as a reviewer. At both the title/abstract and full text review stages, citations were excluded only if both reviewers agreed to exclude; disagreements were reviewed and resolved by the study leads, where necessary (DD and IO). Citation screening for titles/abstract and full-text review was conducted independently and in duplicate by a team of seven reviewers recruited from the University of Ottawa and Children's Hospital of Eastern Ontario (CHEO) to allow for rapid completion. The study co-lead (IO) reviewed all eligible citations to identify potential duplicates and confirm eligibility. Consensus and/or resolution of conflicts were managed between reviewers and a third reviewer was not necessary.

2.2. Inclusion criteria

Case series, case reports, case-control, and comparative studies on SARS-CoV-2 infection among pregnant women and/or neonates as validated by positive antibody testing or viral testing using polymerase chain reaction (PCR) were included. Studies included both asymptomatic carriers and patients with symptomatic infection. The endpoints were: pregnancy outcomes (e.g., still birth), radiology (e.g., pulmonary consolidation), laboratory findings (e.g., lymphopenia) and placental pathology syndromes, as identified by the Amsterdam placental workshop group consensus in addition to documented neonatal and maternal death or survival [18].

2.3. Exclusion criteria

Studies were excluded if the population of interest was non-pregnant mothers, general patients, or children older than one month. There were no language restrictions since we had language specialists who worked in the medical profession available to translate foreign findings (JT, JD, NZ, MK). Systematic reviews, literature reviews, editorials, letters to the editor, conference abstracts, and commentaries were excluded.

2.4. Data analysis

Four authors (DD, IO, JT, and BR) extracted summary estimates using a pre-designed, piloted, and modified data abstraction sheet in Excel Version 16.46. The data abstraction form was piloted against a total of five eligible studies. The extracted information included: citation details (title of the article and the year of publication); study details including study design; location of the study and its sample size; patient demographics including age, sex, gestational age (in weeks), maternal body mass index (BMI), asthma, signs and symptoms of COVID-19 in mothers and neonates, mode of delivery, type of pregnancy, and neonatal outcomes. The Methodological Index for Non-Randomized Studies (MINORS) criteria was used to assess study quality [19]. The study protocol has been registered in PROSPERO (CRD42020180538).

3. Results

Five hundred and twenty-five records were identified for level I (title and abstract) screening, of which 292 were excluded according to title, abstract, and research question relevance. Two hundred and thirty-three were selected for full-text review, of which 192 were excluded due to an ineligible population (n = 39), study design (n = 141), no mention of our outcomes of interest (n = 6), or inability to locate text (n = 6). After full-text screening, there were 41 eligible studies remaining (Figure 1).

Figure 1.

Figure 1

PRISMA Flow Diagram for Included Studies

Most studies were conducted in Wuhan, China (n = 26). Eighteen of the included studies were case reports, 11 case series, eight retrospective cohort studies, one prospective cohort study, and three case control studies (Table 1). A total of 315 women with laboratory confirmed SARS-CoV-2 by PCR were included in the selected 41 articles with a mean age of 30 years. Most of them were in their third trimester of pregnancy (e.g., 35–38 gestational weeks). Their average body mass index (BMI) varied from 22 to 30.9 kg/m2. There were six cases of maternal intensive care admission (1 · 9%). Overall, the most prevalent complications on admission or during pregnancy were gestational hypertension (2 · 5%), gestational diabetes (3 · 5%), and type II diabetes (2 · 2%). There were two cases of abnormal cord insertion and abnormal amniotic fluid volume with oligohydramnios and polyhydramnios (0 · 63% each) (Table 1). Upon admission, fever and cough were the most common maternal symptoms reported (55 · 2% and 40 · 3%, respectively). There were twenty cases of documented intrauterine foetal distress (7 · 6%) and fifteen cases of premature ruptures of membranes (5 · 7%) (Table 2). Typical symptoms of neonates after birth were similar to that of mothers, including cough (2 · 3%), fever (4 · 2%), shortness of breath (2 · 7%), and respiratory difficulties or distress (2 · 3%) (Table 3).

Table 1.

Study characteristics (n = 41).

Author Study location n (pregnant women with laboratory confirmed SARS-CoV-2) n (uninfected neonates tested for SARS-CoV-2 unless specified) Maternal and Neonatal Interventions Comparator Maternal Medication Treatment Fetal Medication Treatment Follow-up after delivery (days) MINORS Score
Case report
Diaz et al 2020 [20] Spain 1 1 Chest radiography; RT-PCR; chest x-ray; C-reactive protein assessment N/A1 Mechanical ventilation Continuous nasal pressure device 6, 8, and 13 15
Wang et al 2020 [93] Wuhan, China 1 1 Two throat-swab samples; RT-PCR; and chest tomography scan (CT) N/A Arbitol tablets; lopinavir and ritonavir tablets; cefoperazone sodium; sulbactam sodium; and human serum albumin Dexamethasone and magnesium sulfate as prophylaxis 10, 15, and 18 15
Wang et al 2020 [94] Wuhan, China 1 1 CT scan; rPT-PCR2 N/A Recombinant human interferon; sterilization injection; ganciclovir. Abipenem; moxifloxacin; methylprednisolone Not mentioned 4 15
Iqbal et al 2020 [95] Washington, United States of America 1 1 Chest radiographs; nonstress test; ultrasound; nasopharyngeal and oropharyngeal swabs N/A Oxytocin Not mentioned 6 15
Song et al 2020 [96] Wuhan, China 1 1 Throat swabs and fecal samples by rPT-PCR; viral respiratory test; chest CT; pinprick test N/A CSEA3; hyperbaric ropivacaine; oxytocin; dolasetron; tramadol; sodium chloride Not mentioned 1 16
Zhao et al 2020 [97] Wuhan, China 1 1 Serum biochemical test; CT scan; B-ultrasound; throat swabs by PCR N/A Azithromycin; oseltamivir; moxifloxacin; ganciclovir Not mentioned 4 15
Lowe et al 2020 [98] Southport, Australia 1 1 COVID-19 testing N/A Artificial rupture of membranes; oxytocin infusion; CTG4; epidural; gentamicin; metronidazole; cephazolin Not mentioned 10 16
Lee et al 2020 [99] Republic of Korea 1 1 Chest radiographs; CT scans; blood and urine tests; RT-PCR for placenta, amniotic fluid, and cord blood N/A Spinal anesthesia; Marcaine; fentanyl; phenylephrine; Hartmann solution; colloid; carbetocin; oxytocin; crystalloid; colloid; analgesia pump Not mentioned Unknown 16
Kalafat et al 2020 [30] Turkey 1 1 RT-PCR for throat, nasal, and breast milk; fetal ultrasound; lung ultrasound; CT angiography N/A Azithromycin; hydroxycholorquine; oseltamivir; favipiravir; steroids Not mentioned 2 15
Karami et al 2020 [22] Iran 1 1 Fern test; chest CT; chest X-ray; echocardiography; RT-PCR; lung autopsy N/A Oseltamivir, azithromycin, ceftriaxone, lopinavir/ritonavir/hydroxychloroquine, meropenem, vancomycin Not mentioned 2 16
Kamali et al 2020 [21] Tehran, Iran 1 1 (infected) Pharyngeal swab via RT-PCR; chest X-ray; echocardiography N/A Not mentioned. Proper fluid therapy; oxygen therapy; vancomycin; amikacin, oseltamivir 14 16
Zeng et al 2020 [100] Wuhan, China 1 1 (infected) Pharyngeal and nasal swabs; COVID-19 nucleic acid test; pulmonary imaging; blood tests; suction pharyngeal swabs; immunofluorescence tests; echocardiogram N/A Not mentioned. Vitamin K1 and fluid replacement Unknown 15
Wang et al 2020 [101] Wuhan, China 1 1 (infected) Nucleic acid test; lung CT; chest imaging; abdominal X-ray; adenovirus antigen test N/A Not mentioned Interferon treatment; nasal spray; fluid replacement Unclear 15
Schnettler et al 2020 [102] Cincinnati, Ohio 1 1 Chest x-ray; vital assessment; respiratory viral laboratory analysis; nasopharyngeal swab via RT-PCR; chest X-ray; lung ultrasound imaging; N/A Intubation with mechanical ventilation; antenatal corticosteroids; magnesium sulphate; benzodiazepines and narcotics; ceftriaxone; azithromycin; oseltamivir; hydroxycholoroquine Electronic monitoring 5 15
Peng et al 2020 [103] Chongqing, China 1 1 Chest CT; throat swab via RT-PCR; N/A Interferon nebulization; oral lopinavir; intravenous antibiotics; oxygen supplements; dexamethasone Nasal continuous positive airway pressure; pulmonary surfactant; gentamycin; ampicillin; procalcitonin 1,2,3,7 and 14 15
Xiong et al 2020 [104] Beijing, China 1 1 Chest X-ray; throat swab via RT-PCR test; chest CT N/A Antiviral; anti-infection; corticosteroid therapies Not mentioned. 3 16
Han et al 2020 [105] Seoul, Korea 1 1 (infected) Chest radiograph; physical examination; laboratory examination; nasopharyngeal and orophargyngeal swabs via RT-PCR N/A Not mentioned. No antiviral or antibacterial agents 29 16
Shojaei et al 2020 [106]
Tehran, Iran
1
1
Spiral lung and mediastinal CT scan; portable chest X-ray; echocardiography; nasopharyngeal swab via RT-PCR
N/A
Oseltamivir; ceftriaxone; hydroxycholorquine; azithromycin; lopinavir/ritonavir; O2 therapy with mask; fentanyl and propofol injection and mechanical ventilation; vancomycin; meroprenem; fresh frozen plasma; norepinephrine infusion
Not mentioned
Terminated pregnancy.
16
Case series
Chen et al 2020 [107] Wuhan, China 5 5 Serum testing; chest imaging; RT-PCR N/A Ceased breastfeeding (n = 5); oseltamivir (n = 5); azithromycin (n = 5) Not mentioned Not mentioned 14
Zhu et al 2020 [8] Wuhan, China 9 10 Chest CT; ultrasound; 5NAT testing N/A Oseltamivir (n = 3); nebulized inhaled interferon (n = 1) Symptomatic supportive treatments (n = 10); transfusion of platelets (n = 1); oxygen therapy (n = 1) 7,9 14
Liu et al 2020 [108] Wuhan, China 10 19 Chest CT; chest x-ray; RT-PCR in urine, throat and feces N/A No mother received prenatal steroids; antiviral drugs (n = 6) Not mentioned Not mentioned 15
Liu et al 2020 [109] Wuhan, China 3 3 CT scans; oropharyngeal swabs, breast milk, placenta, vaginal mucus and feces testing via RT-PCR; N/A Oxygen therapy (n = 3), antiviral (n = 2) (i.e., atomized inhalation of interferon and ganciclovir), and anti-inflammatory treatment (n = 2); oral arbidol hydrochloride (n = 2) Not mentioned 2,6 15
Breslin et al 2020 [33] New York, United States of America 7 2 Chest X-ray; PCR N/A Ampicillin (n = 1); gentamicin (n = 1); acetaminophen (n = 1); endotracheal intubation (n = 1); hydroxycholoroquine (n = 2); furosemide (n = 1); azithromycin (n = 1); ceftriaxone (n = 1); ongoing oxygen supplementation (n = 1) Not mentioned 2,4,5 15
Khan et al 2020 [37] Wuhan, China 3 3 Nasopharyngeal swab; CT scan N/A Azithromycin (n = 1); Lianhua Qingwen capsules (n = 2); oseltamivir (n = 1); antibiotics (n = 2); antiviral drugs (n = 2); oxygen inhalation (n = 2) Not mentioned Not mentioned 16
Chen et al 2020 [64] Wuhan, China 4 4 (3 uninfected; 1 did not provide consent) Throat swab via RT-PCR; laboratory examination; CT scans; chest radiograph N/A Respiratory support (n = 1) Nasal-continuous positive airway pressure (n = 1) 3,5 16
Chen et al 2020 [14] Wuhan, China 3 3 Pharyngeal swabs via nucleic acid test; tissue and lung CT; laboratory examination N/A Not mentioned Not mentioned Not mentioned 13
Fan et al 2020 [38] Wuhan, China 2 2 Nasopharyngeal swab, maternal serum, placenta tissue, umbilical cord blood, amniotic fluid, vaginal swabs, and breast milk via RT-PCR; laboratory examination; CT chest scan; CT of thorax N/A Lianhua qingwen capsule (n = 2); cefaclor (n = 1); beclomethasone (n = 1); calamine tropical (n = 1); azithromycin (n = 1); oseltamivir (n = 2); methylprednisolone (n = 1); cefotiam hydrochloride (n = 1); ornidazole (n = 1); diclofenac sodium (n = 1); ceftazidime (n = 1); Antibiotic therapy (n = 2) 3,4,8,18,19 16
Liu et al 2020 [110] Wuhan, China 15 15 RT-PCR; CT scan N/A Oxygen support via nasal cannula (n = 14); antibiotic treatment (n = 15); antiviral treatment (n = 11); Not mentioned 4,6 15
Chen et al 2020 [111]
Wuhan, China
17
17
RT-PCR; general anaesthesia (n = 3); epidural anaesthesia (n = 14)
General anaesthesia group
Not mentioned
Not mentioned
6,13
20
Retrospective cohort
Yue et al 2020 [112] Wuhan, China 14 13 Chest CT; throat swabs via RT-PCR; CSEA Patients with suspected SARS-CoV-2 infection Intraspinal anaesthesia (n = 30); dezocine and morphine via epidural catheter (n = 30) Not mentioned N/A 21
Chen et al 2020 [15] Wuhan, China 9 6 Chest CT; throat swab samples via RT-PCR; amniotic fluid samples; cord blood and neonatal throat swabs; breast milk samples N/A Oxygen support via nasal cannula (n = 9); antibiotic treatment (n = 9); antiviral therapy (n = 6) Not mentioned N/A 14
Yu et al 2020 [113] Wuhan, China 7 3 (2 uninfected; 1 infected) Throatswab samples via RT-PCR; chest CT; laboratory examinations; sputum or endotracheal aspirates; CSEA; general anaesthesia N/A Oxygen therapy via nasal catheter (n = 7); antiviral therapy (i.e., oseltamivir, ganciclovir, interferon, arbidol) (n = 7); Jinyebaidu and Lianhuaqingwen capsules (n = 7); antibiotic treatment (i.e., cephalosporins, quinolones, macrolides) (n = 7); Not mentioned 28 15
Nie et al 2020 [114] Wuhan, China 33 26 (25 uninfected; 1 infected) RT-PCR; clinical presentation; laboratory examination; chest CT information; chest X-ray N/A Oxygen supplementation via nasal cannula or mask (n = 29); noninvasive mechanical ventilation (n = 1); antibiotic treatment (n = 29); glucocorticoids (n = 11); traditional Chinese medicine (n = 12) No treatment (n = 1) 4, 8, 15 15
Breslin et al 2020 [32] New York, USA 43 18 (15 uninfected; 3 infected) Nasopharyngeal swab via RT-PCR; imaging; and treatment; chest X-ray; neuraxial anesthesia; intraoperative conversion Asymptomatic patients on presentation No supplemental oxygen (n = 29); hydroxycholoroquine (n = 2); ceftriaxone (n = 2); supportive therapy with intravenous hydration (n = 2); azithromycin (n = 1); oxygen support via nasal cannula (n = 1); antibiotics (ampicillin and gentamicin) (n = 5); misoprostol (n = 3) Not mentioned 14 21
Zhang et al 2020 [115] Wuhan, China 4 4 Nasopharyngeal or anal swabs via RT-PCR; CT scans N/A Not mentioned Supportive treatment (n = 4); mechanical ventilation (n = 0) Not mentioned 15
Zhang et al 2020 [16] Wuhan, China 16 10 Biochemical tests; pharyngeal swab collection via RT-PCR; chest radiographs; laboratory examinations Pregnant women without SARS-CoV-2 Dexamethasone (n = 1) Not mentioned Not mentioned 21
Yin et al 2020 [116]
Wuhan, China
31
17
Amniotic fluid; placenta; neonatal throat and anal swab samples; breastmilk samples via RT-PCR; laboratory and radiology examinations
Non-pregnant women with SARS-CoV-2
Antiviral therapy (n = 30); glucocorticoid therapy (n = 16); oxygen therapy (n = 35)
Not mentioned
9–40
22
Prospective cohort
Yang et al 2020 [117]
Wuhan, China
7
7
Umbilical cord blood, amniotic fluid, and pharyngeal swabs via RT-PCR; chest X-ray; laboratory examination
N/A
Not mentioned
nCAP6 treatment (n = 2); no respiratory support or oxygen therapy (n = 0); piperacillin tazobactam (n = 4); feeding and nursing care (n = 3)
2-5, 7
15
Case-control
Zhang et al 2020 [118] Wuhan, China 89 90 SARS-CoV-2 nucleic acid test; CT imaging; spinal anaesthesia; epidural anaesthesia; general anaesthesia; inhalational anaesthesia Pregnant women without SARS-CoV-2 Intraoperative oxytocin (n = 94) Not mentioned Not mentioned 23
Yang et al 2020 [11] Wuhan, China 13 20 CT scan; throat swab test via RT-PCR; routine blood test; laboratory and radiology examination Pregnant women without laboratory confirmed SARS-CoV-2 infection Not mentioned Not mentioned Unclear 23
Li et al 2020 [57] Wuhan, China 11 17 CT scan; laboratory examination; throat swabs via RT-PCR Pregnant women without SARS-CoV-2 Antibiotics (n = 34); antivirals (n = 4) Not mentioned 4,14 21
1

Not applicable to the study design.

2

Real-time reverse transcription polymerase chain reaction.

3

Combined spinal and epidural anesthesia.

4

Continuous cardiotocography.

5

Nucleic acid testing.

6

Non-invasive continuous positive airway pressure ventilation.

Table 2.

Maternal Characteristics from 315 women with confirmed SARS-CoV-2 Infection.

Case reports
(N = 18 studies)1
Case series
(N = 11 studies)2
Retrospective cohort
(N = 8 studies)3
Prospective cohort
(N = 1 study)4
Case control
(N = 3 studies)5
Total, n/N (%)
Maternal Characteristics
Age (y) (mean ± SD) 31 · 5 30 · 7 ± 5 30·0 ± 13 N/A 31·2 ± 3
Gestational age (mean ± SD) or range in weeks 35·0 ± 6 35·3 ± 5 38·1 ± 0·9 36–37 38·1 ± 2
Body mass index (BMI) (kg/m2) (mean ± SD) 24·7 N/A6 30·9 ± 5 N/A 22·7
Maternal Intensive Care Unit (ICU) admission
4
0
2
0
0
6/315, 1·9%
Complications
Gestational hypertension 0 N/A 3 2 3 8/315, 2·5%
Chronic hypertension 0 1 3 N/A 2 6/315, 1·9%
Hypothyroidism 1 1 1 N/A 2 5/315, 1·6%
Gestational diabetes 0 3 5 N/A 3 11/315, 3·5%
Type II diabetes 0 4 3 N/A 0 7/315, 2·2%
Abnormal amniotic fluid 0 2 0 0 0 2/315, 0·63%
Abnormal cord insertion
0
2
0
0
0
2/315, 0·63%
Delivery Characteristics
Total number of deliveries 14 58 94 7 116 289/315, 91·7%
Delivery by caesarean section 9 46 75 7 112 249/315, 79·0%
Vaginal delivery 5 12 19 0 4 40/315, 12·7%
Spontaneous preterm delivery
1
0
0
0
0
1/315, 0·3 %
Pregnancy type
Singleton 11 35 46 7 70 169/315, 53·7%
Twin 2 2 0 0 5 10/315, 3·2%
Multiple
0
0
0
0
88
88/315, 27·9%
Presenting signs and symptoms
Fever on admission 11 40 69 6 48 174/315, 55·2%
Cough 10 27 52 6 32 127/315, 40·3%
Dyspnea 3 4 15 6 9 37/315, 11·7%
Shortness of breath 4 0 9 6 0 19/315, 6·0%
Myalgia 3 6 17 6 8 40/315, 12·7%
Muscular soreness 1 0 5 6 0 12/315, 3·8%
Sore throat 2 2 5 6 0 15/315, 4·8%
Diarrhea 0 4 9 6 7 26/315, 8·3%
Clinical Outcomes
Intrauterine fetal distress 0 7 9 2 2 20/262, 7·6%
Premature rupture of membranes 1 3 9 0 2 15/262, 5·7%
1

Diaz et al 2020 [20], Wang et al 2020 [93], Wang et al 2020 [94], Iqbal et al 2020 [95], Song et al 2020 [96], Zhao et al 2020 [97], Lowe et al 2020 [98], Lee et al 2020 [99], Kalafat et al 2020 [30], Karami et al 2020 [22], Kamali et al 2020 [21], Zeng et al 2020 [100], Wang et al 2020 [101], Schnettler et al 2020 [102], Peng et al 2020 [103], Xiong et al 2020 [104], Han et al 2020 [105], Shojaei et al 2020 [106].

2

Chen et al 2020 [107], Zhu et al 2020 [8], Liu et al 2020 [108], Liu et al 2020 [109], Breslin 2020 [33], Khan et al 2020 [37], Chen et al 2020 [64], Chen et al 2020 [14] Fan et al 2020 [38], Liu et al, 2020 [110], Chen et al, 2020 [111].

3

Yue et al 2020 [112], Chen et al 2020 [15], Yu et al 2020 [113], Nie et al 2020 [114], Breslin et al 2020 [32], Zhang et al 2020 [115], Zhang et al 2020 [16], Yin et al 2020 [116].

4

Yang et al 2020 [117].

5

Zhang et al 2020 [118], Yang et al 2020 [11], Li et al 2020 [57].

6

indicates the lack of data collected on this outcome.

Table 3.

Neonatal Characteristics from 262 neonates who underwent PCR laboratory testing for SARS-CoV-2.

Case reports
(N = 18 studies)1
Case series
(N = 11 studies)2
Retrospective cohort
(N = 8 studies)3
Prospective cohort
(N = 1 study)4
Case control
(N = 3 studies)5
Total, n/N (%)
Neonatal Characteristics
Neonatal sex
Males 6 24 16 6N/A 8 54/262, 20·6%
Females 2 10 10 N/A 6 28/262, 10·7%
Mean birth weight (g)
3196·4
3117
3063·5
2096
3129·1

Signs and symptoms after birth
Respiratory difficulties or distress 5 0 1 N/A N/A 6/262, 2·3%
Cough 2 4 0 N/A N/A 6/262, 2·3%
Fever 7 4 0 N/A N/A 11/262, 4·2%
Shortness of breath 1 6 0 N/A N/A 7/262, 2·7%
Apnea 0 0 N/A N/A N/A 0/262, 0%
Vomiting 3 0 0 N/A N/A 3/262, 1·1%
No symptoms 0 5 0 N/A N/A 5/262, 1·9%
1

Diaz et al 2020 [20], Wang et al 2020 [93], Wang et al 2020 [94], Iqbal et al 2020 [95], Song et al 2020 [96], Zhao et al 2020 [97], Lowe et al 2020 [98], Lee et al 2020 [99], Kalafat et al 2020 [30], Karami et al 2020 [22], Kamali et al 2020 [21], Zeng et al 2020 [100], Wang et al 2020 [101], Shnettler et al 2020 [102], Peng et al 2020 [103], Xiong et al 2020 [104], Han et al 2020 [105], Shojaei et al, 2020 [106].

2

Chen et al 2020 [107], Zhu et al 2020 [8], Liu et al 2020 [108], Liu et al 2020 [109], Breslin 2020 [33], Khan et al 2020 [37], Chen et al 2020 [64], Chen et al 2020 [14], Fan et al 2020 [38], Liu et al, 2020 [110], Chen et al, 2020 [111].

3

Yue et al 2020 [112], Chen et al 2020 [15], Yu et al 2020 [113], Nie et al 2020 [114], Breslin et al 2020 [32], Zhang et al 2020 [115], Zhang et al 2020 [16], Yin et al 2020 [116].

4

Yang et al 2020 [117].

5

Zhang et al 2020 [118], Yang et al 2020 [11], Li et al 2020 [57].

6

indicates the lack of data collected on this outcome.

Table 4 illustrates neonatal outcomes with the most data coverage. When reported, the majority (56 · 1%) of neonates born to SARS-CoV-2 positive mothers tested negative; however, there were 8 positive cases validated by RT-PCR (3 · 1%). Twenty-one percent of neonates were born preterm (Table 4). There were two cases of rashes and one neonatal death; however, they were occasional overall (0 · 8% and 0 · 4%, respectively).

Table 4.

Neonatal Outcomes from 262 neonates who underwent PCR laboratory testing for SARS-CoV-2.

Case reports Case series Retrospective cohort Prospective cohort Case control Total, n/N (%)
Neonatal Intensive Care Unit (NICU) admission 3 37 4 5 147 196/262, 74 · 8%
Preterm 4 11 27 6 7 55/262, 21 · 0%
Full term 1 0 1 3 1 6/262, 2 · 3%
Low birth weight
(e.g., <2500g)
0 1 9 0 3 13/262, 5.0%
Neonatal death
0
1
0
0
0
1/262, 0 · 38%
Mean Apgar Score
1 min (mean) 8 · 17 8 · 45 8 · 19 1N/A 9 · 6
5 min (mean) 9 · 15 9 · 35 9 · 22 N/A 10
Fetal tachycardia 0 2 0 0 1 3/262, 1 · 1%
Rashes 0 2 0 0 0 2/262, 0 · 8%
1

indicates the lack of data collected on this outcome.

Preeclampsia was the most frequent disease of the placenta (eight cases; 2 · 5%) (Table 5). An equal number of pregnant women experienced placental abruption or abnormal placenta/placenta previa (three cases each; 0 · 95%).

Table 5.

Placental Pathology outcomes in 315 SARS-CoV-2 confirmed pregnant women.

Author and Study ID Zhu et al., 2020 [8]
174620
Yang et al., 2020 [117]
174628
Schnettler et al., 2020 [102]
174968
Chen et al., 2020 [107]
174619
Liu et al., 2020 [109]
174662
Chen et al., 2020 [14]
174527
Liu et al., 2020 [108]
174625
Iqbal et al., 2020 [95]
174572
Li et al., 2020 [57]
174856
Diaz et al., 2020 [20]
174520
Chen et al., 2020 [15]
174627
Zhang et al., 2020 [16]
174510
Chen et al., 2020 [64]
174821
Kalafat et al., 2020 [30]
174581
Total, n/N (%)
Chorioamnionitis ·· ·· ·· 0 1 0 ·· ·· ·· ·· ·· ·· ·· ·· 1/315, 0 · 32%
Meconium stained amniotic fluid (MSAF) ·· ·· ·· ·· 1 ·· ·· ·· ·· ·· ·· ·· ·· ·· 1/315, 0 · 32%
Placental abruption ·· ·· ·· ·· ·· 1 ·· ·· 2 ·· ·· ·· ·· ·· 3/315, 0 · 95%
Preeclampsia ·· 2 ·· 1 ·· ·· ·· ·· 1 1 2 1 ·· ·· 8/315, 2 · 5%
Abnormal placenta/placenta previa 1 ·· ·· ·· ·· 1 ·· ·· ·· ·· ·· ·· 1 ·· 3/315, 0 · 95%

More than half of infected pregnant women had viral pneumonia (160 cases; 50 · 8%). When examining the lungs on computer tomography (CT), pregnant women with SARS-CoV-2 were frequently classified as demonstrating pure (18 cases; 5 · 7%), bilateral (12 cases; 3 · 8%) or patchy ground-glass opacities (GGO) (15 cases; 4 · 8%) (Table 6). There were 87 (30%) cases of elevated (>4 · 0 mg/L) C-reactive protein (CRP), 21 cases of leukocytosis (6 · 7%), and 25 cases of lymphopenia (7 · 9%) (Table 6).

Table 6.

Radiology and Laboratory findings across all studies (n = 41) for 315 women confirmed with SARS-CoV-2.

Radiology results Total n/N, (%)
Bilateral/viral pneumonia 160/315, 50 · 8%
Pneumonia aggravation 1/315, 0 · 32%
Pulmonary consolidation 4/315, 1 · 3%
Lesions 5/315, 1 · 6%
Pure ground-glass opacity (PGO) 18/315, 5 · 7%
Bilateral ground-glass opacities (GGO) 12/315, 3 · 8%
Patchy GGO 15/315, 4 · 8%
Patch like shadows 8/315, 2 · 5%
Pleural effusion 7/315, 2 · 2%
Pleural thickening 4/315, 1 · 3%
Increased vascular marking
2/315, 0 · 63%
Laboratory results
Mean number of white blood cells (WBC) (×109/L) 9 · 1
Mean number of neutrophils (×109/L) 7 · 0
Elevated Procalcitonin 7/315, 2 · 2%
Leukopenia 1/315, 0 · 32%
Leukocytosis (>10 × 10ˆ9/L) 21/315, 6 · 7%
Lymphopenia (<1 × 10ˆ9/L) 25/315, 7 · 9%
Thrombocytopenia 3/315, 0 · 95%
Mean number of Lymphocytes (x10ˆ9/L) 2 · 1
Mean albumin (g/L) 25 · 7
Mean haemoglobin (Hb) (g/L) 98 · 4
Mean C-reactive protein (CRP) (mg/L) 33 · 1
Elevated CRP (>4 · 0 mg/L) 87/315, 27 · 6%
Elevated alkaline phosphatase 7/315, 2 · 2%
Elevated alanine aminotransferase (ALT) and aspartate aminotransferase (AST) 12/315, 3 · 8%

Table 7 displays the results from the critical appraisal for 39 studies written in the English language. We achieved substantial or almost perfect agreement between two independent reviewers on half of the domains from the MINORS 2015 criteria (Table 6). MINORS scores for comparative studies (n = 9) ranged from 20-23, with mean 22 ± 1·0. MINORS scores for non-comparative studies (n = 32) ranged from 13-16, with a mean of 15 ± 0·7. The ideal global score is 16 for non-comparative studies and 24 for comparative studies, which indicates excellent studies based on this definition [19].

Table 7.

Quality Appraisal of Eligible Articles in English using MINORS 2015 criteria (n = 39).

Domain Inter-rater reliability coefficient (Kappa) aInterpretation
Clearly stated aim ∗Not estimable N/A
Inclusion of patients 0 · 55 Moderate
Prospective collection 0 · 79 Substantial
Appropriate endpoints 1 · 00 Almost perfect
Unbiased endpoint ∗Not estimable N/A
Follow up period 0 · 23 Fair
Follow up loss ∗Not estimable N/A
Study size calculation ∗Not estimable N/A
Adequate control 1 · 00 Almost perfect
Contemporary groups 1 · 00 Almost perfect
Baseline equivalence 1 · 00 Almost perfect
Statistical analyses 1 · 00 Almost perfect
a

Kappa was interpreted as follows: <0 “poor”, 0-0·2 “slight”, 0 · 21–0·4 “fair”, 0 · 41–0·6 “moderate”, 0 · 61–0·8 “substantial”, 0 · 81–0·99 “almost perfect”. ∗Not estimable: Kappa could not be estimated.

4. Discussion

Given the evolving nature of the virus, understanding the potential implications of SARS-CoV-2 in vulnerable populations such as pregnant women is warranted worldwide. This review summarizes the findings from 315 women confirmed to have SARS-CoV-2 and 262 neonates who underwent PCR testing.

In our systematic review, similar symptoms (e.g., fever, cough, and shortness of breath) were reported among pregnant women and their neonates [8, 20, 21, 22]. The clinical symptoms caused by SARS-CoV-2 are comparable to severe acute respiratory syndrome (SARS), whereby after being infected, the first symptoms are typically fever, cough, and respiratory difficulties akin to upper respiratory tract infections, suggesting that the target cells of the virus may be located in the lower respiratory tract [23]. Furthermore, SARS-Cov-2 is reported to share the same angiotensin-converting enzyme 2 (ACE2) receptor as with SARS-CoV, indicating ACE2 virus receptor expression in type II alveolar cells [24]. Once the virus makes contact with the human airway, its spike proteins can bind to surface receptors of sensitive cells, permitting the entrance of the virus into target cells for further replication [25, 26, 27, 28]. The clinical maternal symptomology findings reported in this review clearly align with prior literature reporting fever, cough, breathing difficulties, malaise, chills, and rigors as prevalent symptoms of SARS during pregnancy, from manifestation of the virus in the respiratory tract of infected patients [29].

We found six cases of maternal ICU admission [20, 21, 22, 30] representing 1 · 9% of total SARS-CoV-2 laboratory confirmed pregnancies. In contrast, the ICU admission rate for pregnant or postpartum women admitted to Canadian hospitals in 2019 was 0 · 32 per 100 pregnancies [31]. Therefore, the rate of ICU admission in this systematic review is six times higher than in healthy pregnant women from the general population. ICU admission is also associated with maternal comorbidity [OR 1 · 88 (1 · 86, 1 · 99)] [31]. Thus, the potential reasons for admission to the ICU could be as a result of underlying conditions during pregnancy such as gestational hypertension or pre-existing conditions like chronic hypertension [32], type II diabetes [33], and high body mass index (BMI) [32]. Similarly, the presence of pre-existing comorbid conditions is more common in an older population with severe SARS-CoV-2 than among those with nonsevere disease (38 · 7% vs. 21 · 0%) [34, 35]. As such, a deeper examination into the role of comorbidities in pregnant women with SARS-CoV-2 is warranted [36].

Seven pregnant women with SARS-CoV-2 had type II diabetes (2 · 2%). Gestational diabetes was the most frequent complication during pregnancy (3 · 5% of SARS-CoV-2 laboratory confirmed pregnancies) [32, 37, 38]. This result is 1 · 3 times higher than in a population of pregnant women without SARS-CoV-2 in Japan, where 2 · 7% were diagnosed with gestational diabetes [39]. Prior literature has established a relationship between elevated BMI and gestational weight gain on the presence of gestational diabetes; however, lack of reporting on BMI in women with gestational diabetes in this review inhibits us from inferring the same in SARS-CoV-2 positive pregnant women [40, 41].

A considerable percentage (i.e., 5 · 7%) of pregnant women with SARS-CoV-2 experienced premature rupture of membranes. This particular finding is unique in that prior research on the SARS-CoV-1 outbreak from 2002 to 2003 described adverse outcomes such as miscarriages in the first trimester of pregnancy and intrauterine growth restriction in the second and third trimesters but nothing explicitly on premature rupture of membranes or preterm birth [42, 43, 44]. It remains unclear as to how SARS-CoV-2 may influence timing of delivery (e.g., preterm versus term), maturity, or membrane rupture. However, viral infection influences pregnancy and foetal growth by penetrating the placenta and decidua via the lower reproductive tract contributing to the presence of such adverse outcomes [45]. The rate of preterm birth (i.e., 21%) was high in our review. Whether premature labour is evidence of increased psychological stress in expectant mothers with SARS-CoV-2 or a direct effect of the virus, remains to be investigated [46, 47]. It is possible that pregnancy outcome is influenced by elective premature delivery in attempts to improve maternal symptoms. In general, neonatal complications were found to be more prevalent after elective preterm delivery in hypertensive mothers versus low risk controls (i.e., uneventful pregnancies delivered due to spontaneous preterm labour or premature membrane rupture) [48]. Elective caesarean sections due to worsening dyspnea in pregnant women with SARS-CoV-2 may also increase the proportion of adverse neonatal outcome like preterm birth [49].

Preeclampsia was also common (i.e., 2 · 5%) in our systematic review and is an indicator for preterm birth [50]. The rate of preeclampsia in a population-based retrospective study on women admitted to hospital for delivery from 1980 to 2010 in the United States was 3 · 4%, higher by 1 · 36 times than the rate reported in this review [51]. When compared to a large cohort study in China, the incidence of preeclampsia among healthy pregnant women was 2 · 28%, 1 · 1 times lower than we have found in the COVID-19 positive population [52]. Both preeclampsia and premature membrane rupture can precipitate a preterm birth [53, 54], and it is unknown whether SARS-CoV-2 directly influences preterm birth alone or in conjunction with elevated late gestational hypertension and membrane rupture. Therefore, a more detailed analysis and longitudinal approach that controls for various confounders and pre-existing conditions is needed to discern the true impact of SARS-CoV-2 on preterm birth.

Caesarean Sections (C-section) were disproportionally performed in pregnant COVID-19 positive women (i.e., 79 · 0%). In some cases, emergent caesarean sections were attributed to foetal distress [15, 36, 55]. C-section is normally recommended to prevent adverse neonatal outcomes in the presence of elevated maternal viral infection; as such, when women tested positive for SARS-CoV-2, the clinical recommendation may have been to undergo an elective C-section to prevent possible vertical transmission of infection to the neonate [56]. Moreover, Li and colleagues determined a lower rate of C-section among controls without SARS-CoV-2 (47 · 1%) [57].

As mentioned, a significant percentage (21%) of neonates born to SARS-CoV-2 positive mothers were born preterm. However, Zhang and colleagues found that preterm birth and neonatal asphyxia were not statistically different between cases and controls without SARS-CoV-2 [16]. In this review, nearly three quarters of neonates (74.8%) born to mothers who tested positive were admitted to the NICU. However, admission protocols in some areas of the world, such as China, may immediately separate neonates from their mothers, with neonates admitted to a neonatal quarantine observation ward as a safety precaution, not necessarily because neonates require NICU admission due to abnormalities [58, 59]. There was one case of neonatal death in our systematic review. Zhu and colleagues reported a neonate who developed thrombocytopenia complicated by abnormal liver function, and later died from refractory shock and multiple organ failure but did not test positive for SARS-CoV-2 despite being born to a SARS-CoV-2 positive mother [8]. Many autopsies on non-pregnant adults with SARS-CoV-2 also demonstrate thrombocytopenia as well as disseminated intravascular coagulation [60]. The preliminary case fatality rate in asymptomatic and symptomatic patients hospitalized with SARS-CoV-2 also appears to be around 1% (95% CI: 0·5-4%) in contrast to MERS (35–40%) and SARS (9 · 6%) [61]. Literature describes high viral load of SARS-CoV-2 in patients’ respiratory tracts as a positive predictor of lung disease severity and subsequent lung injury [62, 63]. Thus, the impact of viral load on neonatal respiratory outcomes or overall adverse clinical outcomes (e.g., stillbirth, intrauterine fetal demise (IUFD) etc.) should be explored further.

There were two cases of rashes, described as skin ulcerations on the forehead or scattered rashes over the body. Chen and colleagues propose that an inflammatory toxin might be the cause [64]. In particular, authors have speculated that the dysregulation of neutrophil extracellular traps (NETs) formation (i.e., web-like DNA with antimicrobial proteins that trap and kill microorganisms) [65] is caused by SARS-CoV-2 infection, and NET formation is heightened in infected children with Kawasaki disease. In fact, Yoshida et al determined that spontaneous NET formation was enhanced in neutrophils in patients with acute KD, suggesting that NETs play a role in COVID-19 pathogenesis [66]. One of the main features of KD, and consequently adverse inflammatory reactions, is extensive skin rashes [67]. Therefore, it is reasonable to infer that the rashes reported in Chen et al could be linked to the multisystem inflammatory disease in children associated with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (MISC-C) [67]. Recent literature has also raised concerns about potential post-viral severe inflammatory reactions of KD (i.e., rare acute pediatric vasculitis), in children infected with SARS-CoV-2. The systemic release of DNA histones and proteins (i.e., host autoantigens) caused by NET dysregulation [68, 69] can have detrimental complications such as pediatric coronary artery aneurysms requiring intensive care support [70, 71, 72], thrombosis, sepsis, cystic fibrosis, and autoimmune diseases like lupus, type I diabetes, and rare conditions affecting the lungs, skin, and kidneys [73]. At present, KD has not yet been described in neonates with SARS-CoV-2.

With respect to laboratory findings, there were three SARS-CoV-2 positive pregnant women with thrombocytopenia (0 · 95%). Based on a recent meta-analysis, a low platelet count is associated with enhanced risk of severe SARS-CoV-2 [74]. Furthermore, a study examining 138 SARS-CoV-2 positive non-pregnant patients reported about a third of patients (i.e., 46) had this condition (<150 000 × 106/L) regardless of severity of illness [75]. In another systematic review, thrombocytopenia was reported in 2 pregnant patients without preeclampsia (platelet counts of 81, 000 and 91, 000 × 106/L, respectively) [76]. In comparison, our study reported one additional patient with thrombocytopenia whose neonate died of multiple organ failure. The biological underpinning for thrombocytopenia is likely multifactorial; in fact, among SARS patients, the combination of mechanical ventilation and viral infection might have led to endothelial damage activating platelet aggregation and thrombosis in the lung, contributing to platelet consumption [77]. Platelets may also be released from fully mature megakaryocytes in the lung, yet a decrease or change in the pulmonary capillary bed could defragment platelets in the process [77]. In general, coronaviruses may infect elements of the bone marrow resulting in abnormal hematopoiesis, or activate an auto-immune response against blood cells [78]. Another possible explanation is that patients with SARS may consistently present with low grade disseminated intravascular coagulation (DIC), which might trigger low platelet counts [77]. However, regardless of these explanations, the pathophysiological mechanisms behind SARS-CoV-2 are still under investigation and are likely to differ from SARS.

The percentage of lymphopenia was high in this review (7 · 9%). Lymphocytes below the normal range (<1 · 1 × 109/L) and cases of lymphopenia (<1 · 0 × 109/L) have been reported in mothers infected with SARS-CoV-2 [15,64]. A systematic review also reported significantly lower lymphocyte count in severe SARS-CoV-2 patients [79]. Lymphopenia is a distinguishable feature of SARS infection, which either directly suppresses bone marrow or induces destruction of lymphocytes via an immune-mediated response [80]. SARS-CoV-2 has been suggested to contribute to direct infection and lymphocyte destruction as well as cytokine-mediated lymphocyte destruction, much like that of SARS virus [81, 82, 83].

Unlike the normal laboratory investigations reported in this systematic review, prior studies report lower counts of WBC, neutrophils, and CRP in pregnant women on admission in comparison to non-pneumonia controls [75]. However, increased CRP has been documented in postpartum blood tests, which supports our finding of elevated CRP [57]. Typically, CRP is a useful clinical marker of inflammation, involved in host defense against invading pathogens and inflammation. Dissociation of native pentameric CRP (pCRP) into subunits occurs in the inflammatory microenvironment, enabling newly generated modified/monomeric CRP (mCRP) to localize the inflammatory response; however, mCRP can also exert damaging pro-inflammatory actions on endothelial cells, endothelial progenitor cells, platelets, and leukocytes, elevating inflammation during viral infection [84]. Thus, elevated CRP could be used as an indicator of SARS-CoV-2 disease inflammation and progression, making it worthwhile to examine in the context of deteriorating maternal and fetal outcomes from the SARS-CoV-2 virus [85].

In terms of placental pathology findings, there were three cases each of placental abruption and abnormal placenta/placenta previa in SARS-CoV-2 women (6 cases total; 2 · 0%). Li and colleagues reported two cases of preterm delivery due to gestational hypertension/preeclampsia, and one suspected case due to placenta previa but a connection between placental abruption and preeclampsia was not directly mentioned [57]. Current risk factors of placental abruption include smoking and trauma, suggesting an interplay of complex factors dependent on maternal lifestyle behaviours in addition to chorioamnionitis and decidual vascular lesion [86]. Rodrigues and colleagues also found one instance of placental abruption in their systematic review [87]; therefore, although not a regular occurrence, future monitoring of placental abruption may be encouraged. In another study, placental abnormalities such as placenta previa, placenta accrete, and placental abruption were also prevalent in 2% of pregnant women with COVID-19 [88]. The total percentage of placenta previa reported among pregnant women without SARS-CoV-2 in Japan was 0·3–0·5% [89]. Globally, placental abruption of various degrees of severity occurs in around 1% of all pregnancies [90]. Thus, rates of placental abruption and placenta previa were higher in this review. Additional investigation of the potential relationship between SARS-CoV-2 and placental abruption and placenta previa is recommended for management strategies.

Radiology findings from this systematic review suggest the presence of viral pneumonia (50 · 8%) and pure, patchy or bilateral ground-glass opacities (GGOs) (14 · 3%) in pregnant women with SARS-CoV-2. These results are supported by a study conducted in the general population of patients with SARS-CoV-2 pneumonia, which demonstrated nearly half of patients had ground glass opacities and lung abnormalities on chest CT [91]. The presence of lesions like pure GGO was more prevalent in age-matched non-pregnant women with SARS-CoV-2 pneumonia (57 cases; 62%) versus pregnant women with SARS-CoV-2 (141 cases; 57%). Interestingly, pure consolidation increased to 95% and 82% from 27% and 24%, respectively, after baseline chest CT for pregnant and non-pregnant groups with significant differences [92].

The main limitations of this review pertain to the fact that several studies had missing outcome data (i.e., poor coverage) although being assessed as high-quality evidence. There was also a potential for selective reporting and misclassification bias when reporting data on certain outcomes (e.g., myalgia versus muscle soreness overlap). There is the potential for double covering since certain primary studies may have reported on clinical outcomes from patients in the same hospital institution; however, secondary studies like systematic reviews drawing on these primary studies were excluded, to minimize the risk of double counting. Six studies could also not be obtained for inclusion due to accessibility issues. Moreover, most studies included are case studies or case series with small sample sizes; thus, there is a lack of generalizability to all pregnant women with SARS-CoV-2 and their neonates. Despite this, we included studies of pregnant women or their neonates with laboratory confirmed SARS-CoV-2 to ensure clinical assessments of maternal and neonatal outcomes and precise estimates. There was no language barrier during the screening stages, as we had experienced language specialists fluent in multiple languages. All available evidence was reviewed; as such, it is unlikely to have missed studies with relevant study designs in our capture period, at this time of submission for publication.

Results from this review suggest elevated rates of ICU admission, gestational diabetes, preeclampsia, placental abruption, placental previa, c-sections, pre-term birth, and CRP in comparison to pregnant women without SARS-CoV-2. When compared to non-pregnant patients with SARS-CoV-2, rates of viral pneumonia, lung abnormalities, and lower lymphocyte counts were similar while fewer cases of thrombocytopenia were reported in this review. This work advances current, limited knowledge around maternal and neonatal outcomes regarding placental pathology, radiology, and laboratory findings in the context of a global pandemic. A compelling area of future study is to examine clinical outcomes of SARS-CoV-2 positive women during their first and second trimester of pregnancy. In the future, longitudinal studies can examine development (i.e., cognitive and neurological) of infants older than one month born to SARS-CoV-2 positive mothers as well as the effects of maternal stress on prematurity.

Declarations

Author contribution statement

All authors listed have significantly contributed to the development and the writing of this article.

Funding statement

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Data availability statement

Data will be made available on request.

Declaration of interests statement

The authors declare no conflict of interest.

Additional information

No additional information is available for this paper.

Acknowledgements

We thank Katie O'Hearn, Msc, (Children's Hospital of Eastern Ontario Research Institute) for methodological assistance, Margaret Sampson, MLIS, PhD, AHIP (Children's Hospital of Eastern Ontario) for developing the electronic search strategies, Lindsey Sikora, MISt (University of Ottawa) for peer review of the MEDLINE search strategy, and Vid Bigelic, MSc, for determining inter-rater reliability using the MINORS instrument.

Appendix A. Supplementary data

The following is the supplementary data related to this article:

200608 Supplementary Material Placenta.docx
mmc1.docx (123.2KB, docx)

References

  • 1.WHO (World Health Orgainisation) Q&A on Coronavirus (COVID-19) https://www.who.int/news-room/q-a-detail/q-a-coronaviruses (n.d.)
  • 2.Khan M.M.A., Khan M.N., Mustagir M.G., Rana J., Haque M.R., Rahman M.M. COVID-19 infection during pregnancy: a systematic review to summarize possible symptoms, treatments, and pregnancy outcomes. MedRxiv. 2020:2020. [Google Scholar]
  • 3.Rodriguez-Morales A.J., Cardona-Ospina J.A., Gutiérrez-Ocampo E., Villamizar-Peña R., Holguin-Rivera Y., Escalera-Antezana J.P., Alvarado-Arnez L.E., Bonilla-Aldana D.K., Franco-Paredes C., Henao-Martinez A.F., Paniz-Mondolfi A., Lagos-Grisales G.J., Ramírez-Vallejo E., Suárez J.A., Zambrano L.I., Villamil-Gómez W.E., Balbin-Ramon G.J., Rabaan A.A., Harapan H., Dhama K., Nishiura H., Kataoka H., Ahmad T., Sah R. Clinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysis. Trav. Med. Infect. Dis. 2020:101623. doi: 10.1016/j.tmaid.2020.101623. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Goodnight W.H., Soper D.E. Pneumonia in pregnancy. Crit. Care Med. 2005;33 doi: 10.1097/01.ccm.0000182483.24836.66. [DOI] [PubMed] [Google Scholar]
  • 5.Stone S., Nelson-Piercy C. Respiratory disease in pregnancy. Obstet. Gynaecol. Reprod. Med. 2010;20:14–21. doi: 10.1016/j.ogrm.2007.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.van Well G.T.J., Daalderop L.A., Wolfs T., Kramer B.W. Human perinatal immunity in physiological conditions and during infection. Mol. Cell. Pediatr. 2017;4:1–11. doi: 10.1186/s40348-017-0070-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Agrawal V., Hirsch E. Intrauterine infection and preterm labor. Semin. Fetal Neonatal Med. 2012;17:12–19. doi: 10.1016/j.siny.2011.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Zhu H., Wang L., Fang C., Peng S., Zhang L., Chang G., Xia S., Zhou W. Clinical analysis of 10 neonates born to mothers with 2019-nCoV pneumonia. Transl. Pediatr. 2020;1:51–60. doi: 10.21037/tp.2020.02.06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zeng L., Xia S., Yuan W., Yan K., Xiao F., Shao J., Zhou W. Neonatal early-onset infection with SARS-CoV-2 in 33 neonates born to mothers with COVID-19 in Wuhan, China. JAMA Pediatr. 2020;23:4–6. doi: 10.1001/jamapediatrics.2020.0878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Dong L., Tian J., He S., Zhu C., Wang J., Liu C., Yang J. Possible vertical transmission of SARS-CoV-2 from an infected mother to her newborn. JAMA. 2020:2–4. doi: 10.1001/jama.2020.4621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.yang H., Sun G., Tang F., Peng M., Gao Y., Peng J., Xie H., Zhao Y., Jin Z. Clinical features and outcomes of pregnant women suspected of coronavirus disease 2019. J. Infect. 2020 doi: 10.1016/j.jinf.2020.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Schwartz D.A. An analysis of 38 pregnant women with COVID-19, their newborn infants, and maternal-fetal transmission of SARS-CoV-2: maternal coronavirus infections and pregnancy outcomes. Arch. Pathol. Lab Med. 2020 doi: 10.5858/arpa.2020-0901-SA. [DOI] [PubMed] [Google Scholar]
  • 13.Sankar J. Thrombocytopenia. Indian J. Pract. Pediatr. 2017;19:338–341. [Google Scholar]
  • 14.Chen S., Huang B., Luo D.J., Li X., Yang F., Zhao Y., Nie X., Huang B.X. Pregnant women with new coronavirus infection: a clinical characteristics and placental pathological analysis of three cases. Zhonghua Bing Li Xue Za Zhi = Chinese J. Pathol. 2020;49:E005. doi: 10.3760/cma.j.cn112151-20200225-00138. [DOI] [PubMed] [Google Scholar]
  • 15.Chen H., Guo J., Wang C., Luo F., Yu X., Zhang W., Li J., Zhao D., Xu D., Gong Q., Liao J., Yang H., Hou W., Zhang Y. Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records. Lancet. 2020;395:809–815. doi: 10.1016/S0140-6736(20)30360-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zhang L., Jiang Y., Wei M., Cheng B.H., Zhou X.C., Li J., Tian J.H., Dong L., Hu R.H. Analysis of the pregnancy outcomes in pregnant women with COVID-19 in Hubei Province. Zhonghua Fu Chan Ke Za Zhi. 2020;55:E009. doi: 10.3760/cma.j.cn112141-20200218-00111. [DOI] [PubMed] [Google Scholar]
  • 17.Bramer W.M., de Jonge G.B., Rethlefsen M.L., Mast F., Kleijnen J. A systematic approach to searching: an efficient and complete method to develop literature searches. J. Med. Libr. Assoc. 2018;106:531–541. doi: 10.5195/jmla.2018.283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Khong T.Y., Mooney E.E., Ariel I., Balmus N.C.M., Boyd T.K., Brundler M.A., Derricott H., Evans M.J., Faye-Petersen O.M., Gillan J.E., Heazell A.E.P., Heller D.S., Jacques S.M., Keating S., Kelehan P., Maes A., McKay E.M., Morgan T.K., Nikkels P.G.J., Parks W.T., Redline R.W., Scheimberg I., Schoots M.H., Sebire N.J., Timmer A., Turowski G., Van Der Voorn J.P., Van Lijnschoten I., Gordijn S.J. Sampling and definitions of placental lesions Amsterdam placental workshop group consensus statement. Arch. Pathol. Lab Med. 2016;140:698–713. doi: 10.5858/arpa.2015-0225-CC. [DOI] [PubMed] [Google Scholar]
  • 19.Slim K., Nini E., Forestier D., Kwiatkowski F., Panis Y., Chipponi J. Methodological index for non-randomized studies (Minors): development and validation of a new instrument. ANZ J. Surg. 2003;73:712–716. doi: 10.1046/j.1445-2197.2003.02748.x. [DOI] [PubMed] [Google Scholar]
  • 20.Alonso Díaz C., López Maestro M., Moral Pumarega M.T., Flores Antón B., Pallás Alonso C.R. First case of neonatal infection due to SARS-CoV-2 in Spain. An. Pediatr. 2020;92:237–238. doi: 10.1016/j.anpedi.2020.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Kamali Aghdam M., Jafari N., Eftekhari K. Novel coronavirus in a 15-day-old neonate with clinical signs of sepsis, a case report. Inf. Disp. 2020;52:427–429. doi: 10.1080/23744235.2020.1747634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Karami P., Naghavi M., Feyzi A., Aghamohammadi M., Novin M.S., Mobaien A., Qorbanisani M., Karami A., Norooznezhad A.H. Mortality of a pregnant patient diagnosed with COVID-19: a case report with clinical, radiological, and histopathological findings. Trav. Med. Infect. Dis. 2020:101665. doi: 10.1016/j.tmaid.2020.101665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Huang C., Wang Y., Li X., Ren L., Zhao J., Hu Y., Zhang L., Fan G., Xu J., Gu X., Cheng Z., Yu T., Xia J., Wei Y., Wu W., Xie X., Yin W., Li H., Liu M., Xiao Y., Gao H., Guo L., Xie J., Wang G., Jiang R., Gao Z., Jin Q., Wang J., Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Zhao Y., Zhao Z., Wang Y., Zhou Y., Ma Y., Zuo W. Single-cell RNA expression profiling of ACE2, the receptor of SARS-CoV-2. Am. J. Respir. Crit. Care Med. 2020;202:756–759. doi: 10.1164/rccm.202001-0179LE. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Xiantian X., Ping C., Jingfang W., Jiannan F., Hui Z., Xuan L., Wu Z., Pei H. Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission. Sci. China Life Sci. 2020;63:457–460. doi: 10.1007/s11427-020-1637-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Li W., Sui J., Huang I.C., Kuhn J.H., Radoshitzky S.R., Marasco W.A., Choe H., Farzan M. The S proteins of human coronavirus NL63 and severe acute respiratory syndrome coronavirus bind overlapping regions of ACE2. Virology. 2007;367:367–374. doi: 10.1016/j.virol.2007.04.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.He L., Ding Y., Zhang Q., Che X., He Y. Expression of elevated levels of pro-inflammatory cytokines in SARS-CoV-infected ACE2+ cells in SARS patients: relation to the acute lung injury and pathogenesis of SARS. J. Pathol. 2008:288–297. doi: 10.1002/path.2067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Zhou P., Lou Yang X., Wang X.G., Hu B., Zhang L., Zhang W., Si H.R., Zhu Y., Li B., Huang C.L., Chen H.D., Chen J., Luo Y., Guo H., Di Jiang R., Liu M.Q., Chen Y., Shen X.R., Wang X., Zheng X.S., Zhao K., Chen Q.J., Deng F., Liu L.L., Yan B., Zhan F.X., Wang Y.Y., Xiao G.F., Shi Z.L. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579:270–273. doi: 10.1038/s41586-020-2012-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Chui M.L., Shell F.W., Tse N.L., Kam M.C., Wai C.Y., Tin Y.W., Sik T.L., Lau C.H. A case-controlled study comparing clinical course and outcomes of pregnant and non-pregnant women with severe acute respiratory syndrome. BJOG An Int. J. Obstet. Gynaecol. 2004;111:771–774. doi: 10.1111/j.1471-0528.2004.00199.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kalafat E., Yaprak E., Cinar G., Varli B., Ozisik S., Uzun C., Azap A., Koc A. Lung ultrasound and computed tomographic findings in pregnant woman with COVID-19, Ultrasound Obstet. Gynecology. 2020 doi: 10.1002/uog.22034. [DOI] [PubMed] [Google Scholar]
  • 31.Aoyama K., Pinto R., Ray J.G., Hill A.D., Scales D.C., Lapinsky S.E., Hladunewich M., Seaward G.R., Fowler R.A. Variability in intensive care unit admission among pregnant and postpartum women in Canada: a nationwide population-based observational study. Crit. Care. 2019;23:1–12. doi: 10.1186/s13054-019-2660-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Breslin N., Baptiste C., Gyamfi-Bannerman C., Miller R., Martinez R., Bernstein K., Ring L., Landau R., Purisch S., Friedman A.M., Fuchs K., Sutton D., Andrikopoulou M., Rupley D., Sheen J.-J., Aubey J., Zork N., Moroz L., Mourad M., Wapner R., Simpson L.L., D’Alton M.E., Goffman D. COVID-19 infection among asymptomatic and symptomatic pregnant women: two weeks of confirmed presentations to an affiliated pair of New York City hospitals. Am. J. Obstet. Gynecol. MFM. 2020:100118. doi: 10.1016/j.ajogmf.2020.100118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Breslin N., Baptiste C., Miller R., Fuchs K., Goffman D., Gyamfi-Bannerman C., D’Alton M. COVID-19 in pregnancy: early lessons. Am. J. Obstet. Gynecol. MFM. 2020:100111. doi: 10.1016/j.ajogmf.2020.100111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Guan W.J., Ni Z.Y., Hu Y., Liang W.H., Ou C.Q., He J.X., Liu L., Shan H., Lei C.L., Hui D.S.C., Du B., Li L.J., Zeng G., Yuen K.Y., Chen R.C., Tang C.L., Wang T., Chen P.Y., Xiang J., Li S.Y., Wang J.L., Liang Z.J., Peng Y.X., Wei L., Liu Y., Hu Y.H., Peng P., Wang J.M., Liu J.Y., Chen Z., Li G., Zheng Z.J., Qiu S.Q., Luo J., Ye C.J., Zhu S.Y., Zhong N.S. Clinical characteristics of coronavirus disease 2019 in China. N. Engl. J. Med. 2020 doi: 10.1056/NEJMoa2002032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Wu Z., McGoogan J.M. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese center for disease control and prevention. JAMA, J. Am. Med. Assoc. 2020;323:1239–1242. doi: 10.1001/jama.2020.2648. [DOI] [PubMed] [Google Scholar]
  • 36.Zaigham M., Andersson O. Maternal and perinatal outcomes with COVID-19: a systematic review of 108 pregnancies. Acta Obstet. Gynecol. Scand. 2020:1–7. doi: 10.1111/aogs.13867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Khan S., Peng L., Siddique R., Nabi G., Nawsherwan, Xue M., Liu J., Han G. 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. 2020:1–3. doi: 10.1017/ice.2020.84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Fan C., Lei D., Fang C., L. C, Wang M., Liu Y., Sun Y., Bao Y., Huang J., Guo Y., Yu Y., Wang S. Perinatal transmission of COVID-19 Associated SARS-CoV-2: should we worry? Infect. Dis. Soc. Am. 2020 doi: 10.1093/cid/ciaa226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Yang L., Yamamoto-Hanada K., Ishitsuka K., Ayabe T., Mezawa H., Konishi M., Shoda T., Sago H., Saito H., Ohya Y. Medical and surgical complications in pregnancy and obstetric labour complications in the Japan Environment and Children’s Study (JECS) cohort: a birth cohort study. J. Obstet. Gynaecol. (Lahore). 2019:1–7. doi: 10.1080/01443615.2019.1673709. [DOI] [PubMed] [Google Scholar]
  • 40.Hashemi-Nazari S.S., Najafi F., Rahimi M.A., Izadi N., Heydarpour F., Forooghirad H. Estimation of gestational diabetes mellitus and dose–response association of BMI with the occurrence of diabetes mellitus in pregnant women of the west of Iran. Health Care Women Int. 2020;41:121–130. doi: 10.1080/07399332.2018.1521812. [DOI] [PubMed] [Google Scholar]
  • 41.Lan X., Zhang Y.Q., Dong H.L., Zhang J., Zhou F.M., Bao Y.H., Zhao R.P., Cai C.J., Bai D., Pang X.X., Zeng G. Excessive gestational weight gain in the first trimester is associated with risk of gestational diabetes mellitus: a prospective study from Southwest China. Publ. Health Nutr. 2020;23:394–401. doi: 10.1017/S1368980019003513. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Wong S.F., Chow K.M., Leung T.N., Ng W.F., Ng T.K., Shek C.C., Ng P.C., Lam P.W.Y., Ho L.C., To W.W.K., Lai S.T., Yan W.W., Tan P.Y.H. Pregnancy and perinatal outcomes of women with severe acute respiratory syndrome. Am. J. Obstet. Gynecol. 2004;191:292–297. doi: 10.1016/j.ajog.2003.11.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.tao Huang Q., shan Wei S., Zhong M., lin Hang L., yuan Xu Y., xi Cai G., Liu Q., hong Yu Y. Chronic hepatitis B infection and risk of preterm labor: a meta-analysis of observational studies. J. Clin. Virol. 2014;61:3–8. doi: 10.1016/j.jcv.2014.06.006. [DOI] [PubMed] [Google Scholar]
  • 44.Huang Q.T., Chen J.H., Zhong M., Xu Y.Y., Cai C.X., Wei S.S., Hang L.L., Liu Q., Yu Y.H. The risk of placental abruption and placenta previa in pregnant women with chronic hepatitis B viral infection: a systematic review and meta-analysis. Placenta. 2014;35:539–545. doi: 10.1016/j.placenta.2014.05.007. [DOI] [PubMed] [Google Scholar]
  • 45.Racicot K., Mor G. Risks associated with viral infections during pregnancy. J. Clin. Invest. 2017;127:1591–1599. doi: 10.1172/JCI87490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Staneva A., Bogossian F., Pritchard M., Wittkowski A. The effects of maternal depression, anxiety, and perceived stress during pregnancy on preterm birth: a systematic review. Women Birth. 2015;28:179–193. doi: 10.1016/j.wombi.2015.02.003. [DOI] [PubMed] [Google Scholar]
  • 47.Wheeler S., Maxson P., Truong T., Swamy G. Psychosocial stress and preterm birth: the impact of parity and race, matern. Child Health J. 2018;22:1430–1435. doi: 10.1007/s10995-018-2523-0. [DOI] [PubMed] [Google Scholar]
  • 48.Spinillo A., Capuzzo E., Stronati M., Iasci A., Ometto A., Solerte L. Early neonatal complications after elective preterm delivery in hypertensive pregnancies. J. Perinat. Med. 1995;23:175–181. doi: 10.1515/jpme.1995.23.3.175. [DOI] [PubMed] [Google Scholar]
  • 49.Parazzini F., Ferrazzi E., Ferrazzi E., Frigerio L., Savasi V., Vergani P., Prefumo F., Barresi S., Bianchi S., Ciriello E., Facchinetti F., Gervasi M.T., Iurlaro E., Kusterman A., Mangili G., Mosca F., Spazzini D., Spinillo A., Trojano G., Vignali M., Villa A., Zuccotti G.V., Parazzini F., Cetin I. Mode of delivery and clinical findings in COVID-19 infected pregnant women in Northern Italy. Lancet. 2020 doi: 10.1111/1471-0528.16278. https://poseidon01.ssrn.com/delivery.php?ID=699064116031077103084119122103107025091011062088031092022044014014121030114004010051010124001028059052000119117009056079112126011073099104018068107031108007065012084070087083015026075078100096097079020102094090065113098006125072116070113118&EXT=pdf&INDEX=TRUE [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Goldenberg R., Culhane J., Iams J., Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371:75–81. doi: 10.1016/S0140-6736(08)60074-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Ananth C.V., Keyes K.M., Wapner R.J. Pre-eclampsia rates in the United States, 1980-2010: age-period-cohort analysis. BMJ. 2013;347:1–9. doi: 10.1136/bmj.f6564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Li N., An H., Li Z., Ye R., Zhang L., Li H., Liu J. Preconception blood pressure and risk of gestational hypertension and preeclampsia: a large cohort study in China. Hypertens. Res. 2020 doi: 10.1038/s41440-020-0438-9. [DOI] [PubMed] [Google Scholar]
  • 53.Fox R., Kitt J., Leeson P., Aye C.Y.L., Lewandowski A.J. Preeclampsia: risk factors, diagnosis, management, and the cardiovascular impact on the offspring. J. Clin. Med. 2019;8:1625. doi: 10.3390/jcm8101625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Simhan H.N., Canavan T.P. Preterm premature rupture of membranes: diagnosis, evaluation and management strategies. BJOG An Int. J. Obstet. Gynaecol. 2005;112:32–37. doi: 10.1111/j.1471-0528.2005.00582.x. [DOI] [PubMed] [Google Scholar]
  • 55.Liu H., Liu F., Li J., Zhang T., Wang D., Lan W. Clinical and CT imaging features of the COVID-19 pneumonia: focus on pregnant women and children. J. Infect. 2020;80:e7–e13. doi: 10.1016/j.jinf.2020.03.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Sharma D., Spearman P. The impact of cesarean delivery on transmission of infectious agents to the neonate. Clin. Perinatol. 2008;35:407–420. doi: 10.1016/j.clp.2008.03.010. [DOI] [PubMed] [Google Scholar]
  • 57.Li N., Han L., Peng M., Lv Y., Ouyang Y., Liu K., Yue L., Li Q., Sun G., Chen L., Yang L. Maternal and neonatal outcomes of pregnant women with COVID-19 pneumonia: a case-control study. Clin. Infect. Dis. 2020 doi: 10.1093/cid/ciaa352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Danhua W. 2020. Newborn Health Care during the Outbreak of COVID-19, Beijing.http://www.chinacdc.cn/en/COVID19/202004/P020200421436572702166.pdf [Google Scholar]
  • 59.Chinese Centre for Disease Control and Prevention . 2015. General Questions COVID-19 Prevention and Control. [Google Scholar]
  • 60.Giannis D., Ziogas I.A., Gianni P. Coagulation disorders in coronavirus infected patients: COVID-19, SARS-CoV-1, MERS-CoV and lessons from the past. J. Clin. Virol. 2020;127:104362. doi: 10.1016/j.jcv.2020.104362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Rasmussen S.A., Smulian J.C., Lednicky J.A., Wen T.S., Jamieson D.J. Coronavirus Disease 2019 (COVID-19) and pregnancy: what obstetricians need to know. Am. J. Obstet. Gynecol. 2020;222:415–426. doi: 10.1016/j.ajog.2020.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Liu Y., Yang Y., Zhang C., Huang F., Wang F., Yuan J., Wang Z., Li J., Li J., Feng C., Zhang Z., Wang L., Peng L., Chen L., Qin Y., Zhao D., Tan S., Yin L., Xu J., Zhou C., Jiang C., Liu L. Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury. Sci. China Life Sci. 2020;63:364–374. doi: 10.1007/s11427-020-1643-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Heneghan C., Brassey J., Jefferson T. 2020. SARS-CoV -2 Viral Load and the Severity of COVID-19. [Google Scholar]
  • 64.Chen Y., Peng H., Wang L., Zhao Y., Zeng L., Gao H., Liu Y. Infants born to mothers with a new coronavirus (COVID-19) Front. Pediatr. 2020;8:1–5. doi: 10.3389/fped.2020.00104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Elkon K.B. Cell death, nucleic acids, and immunity: inflammation beyond the grave. Arthritis Rheum. 2018;70:805–816. doi: 10.1002/art.40452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Yoshida Y., Takeshita S., Kawamura Y., Kanai T., Tsujita Y., Nonoyama S. Enhanced formation of neutrophil extracellular traps in Kawasaki disease. Pediatr. Res. 2020;87:998–1004. doi: 10.1038/s41390-019-0710-3. [DOI] [PubMed] [Google Scholar]
  • 67.Gkoutzourelas A., Bogdanos D., Sakkas L. Kawasaki disease and COVID-19 athanasios. Mediterr. J. Rheumatol. 2020;31:268–274. doi: 10.31138/mjr.31.3.268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Cheng O.Z., Palaniyar N. NET balancing: a problem in inflammatory lung diseases. Front. Immunol. 2013;4:1–13. doi: 10.3389/fimmu.2013.00001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Schönrich G., Raftery M.J. Neutrophil extracellular traps go viral. Front. Immunol. 2016;7:11–14. doi: 10.3389/fimmu.2016.00366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Toubiana J., Poirault C., Corsia A., Bajolle F. Outbreak of Kawasaki disease in children during COVID-19 pandemic: a prospective observational study in Paris, France. MedRxiv. 2020:1–21. doi: 10.1136/bmj.m2094. https://www.medrxiv.org/content/10.1101/2020.05.10.20097394v1.full.pdf [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Schroeder A.R., Wilson K.M., Ralston S.L. 2020. COVID-19 and Kawasaki Disease : Finding the Signal in the Noise Pre-publication Release. [DOI] [PubMed] [Google Scholar]
  • 72.Viner R., Whittaker E. Kawasaki-like disease: emerging complication during the COVID-19 pandemic. Lancet. 2020:19–20. doi: 10.1016/S0140-6736(20)31129-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Thierry A.R., Roch B. Neutrophil extracellular traps and by-products play a key role in COVID-19: pathogenesis, risk factors, and therapy. J. Clin. Med. 2020;9:2942. doi: 10.3390/jcm9092942. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Lippi G., Plebani M., Henry B.M. Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: a meta-analysis. Clin. Chim. Acta. 2020;506:145–148. doi: 10.1016/j.cca.2020.03.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Wang D., Hu B., Hu C., Zhu F., Liu X., Zhang J., Wang B., Xiang H., Cheng Z., Xiong Y., Zhao Y., Li Y., Wang X., Peng Z. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA, J. Am. Med. Assoc. 2020;323:1061–1069. doi: 10.1001/jama.2020.1585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Bauer M.E., Chiware R., Pancaro C. Neuraxial procedures in COVID-19 positive parturients: a review of current reports. Anesth. Analg. 2020:1–8. doi: 10.1213/ANE.0000000000004831. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Yang M., Ng M.H.L., Chi K.L. Thrombocytopenia in patients with severe acute respiratory syndrome (review) Hematology. 2005;10:101–105. doi: 10.1080/10245330400026170. [DOI] [PubMed] [Google Scholar]
  • 78.Jolicoeur P., Lamontagne L. Impairment of bone marrow pre-B and B cells in MHV3 chronically-infected mice. Adv. Exp. Med. Biol. 1995;380:193–195. doi: 10.1007/978-1-4615-1899-0_33. [DOI] [PubMed] [Google Scholar]
  • 79.Zhao Q., Meng M., Kumar R., Wu Y., Huang J., Deng Y., Weng Z., Yang L. Lymphopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: a systemic review and meta-analysis. Int. J. Infect. Dis. 2020;96:131–135. doi: 10.1016/j.ijid.2020.04.086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.He Z., Zhao C., Dong Q., Zhuang H., Song S., Peng G., Dwyer D.E. Effects of severe acute respiratory syndrome (SARS) coronavirus infection on peripheral blood lymphocytes and their subsets. Int. J. Infect. Dis. 2005;9:323–330. doi: 10.1016/j.ijid.2004.07.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Zheng H.Y., Zhang M., Yang C.X., Zhang N., Wang X.C., Yang X.P., Dong X.Q., Zheng Y.T. Elevated exhaustion levels and reduced functional diversity of T cells in peripheral blood may predict severe progression in COVID-19 patients. Cell. Mol. Immunol. 2020;17:541–543. doi: 10.1038/s41423-020-0401-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Zheng M., Gao Y., Wang G., Song G., Liu S., Sun D., Xu Y., Tian Z. Functional exhaustion of antiviral lymphocytes in COVID-19 patients. Cell. Mol. Immunol. 2020;17:533–535. doi: 10.1038/s41423-020-0402-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Sarzi-Puttini P., Giorgi V., Sirotti S., Marotto D., Ardizzone S., Rizzardini G., Antinori S., Galli M. COVID-19, cytokines and immunosuppression: what can we learn from severe acute respiratory syndrome? Clin. Exp. Rheumatol. 2020;38:337–342. [PubMed] [Google Scholar]
  • 84.Eisenhardt S.U., Thiele J.R., Bannasch H., Stark G.B., Peter K. C-reactive protein: how conformational changes influence inflammatory properties. Cell Cycle. 2009;8:3885–3892. doi: 10.4161/cc.8.23.10068. [DOI] [PubMed] [Google Scholar]
  • 85.Li X., Wang L., Yan S., Yang F., Xiang L., Zhu J., Shen B., Gong Z. Clinical characteristics of 25 death cases with COVID-19: a retrospective review of medical records in a single medical center, Wuhan, China. Int. J. Infect. Dis. 2020;94:128–132. doi: 10.1016/j.ijid.2020.03.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Arizawa M. Histologic evidences for chorioamnionitis and decidual vascular lesion as high risk causes of abruptio placentae. Placenta. 2014;35:A20. [Google Scholar]
  • 87.Rodrigues C., Baia I., Dominigues R., Barros H. Pregnancy and breastfeeding during COVID-19 pandeic: A systematic review of published pregnancy cases. MedRxiv. 2020 doi: 10.3389/fpubh.2020.558144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Gajbhiye R., Modi D., Mahale S. Pregnancy outcomes, newborn complications and maternal-fetal transmission of SARS-CoV-2 in women with COVID-19: a systematic review of 441 cases. MedRxiv. 2020 [Google Scholar]
  • 89.Suzuki S. Peripartum periventricular leukomalacia resulting in cerebral palsy associated with placenta previa in Japan. F100 Res. 2020;9:1–7. doi: 10.12688/f1000research.22878.5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Akhtar T., Shaikh S., Bhutto A. Frequency of abruption placenta in grand multigravida. Pak Armed Forced Med. 2020;70:S74–77. https://www.pafmj.org/index.php/PAFMJ/article/view/3797/2510 [Google Scholar]
  • 91.Pan F., Ye T., Sun P., Gui S., Liang B., Li L., Zheng D., Wang J., Hesketh R.L., Yang L., Zheng C. Time course of lung changes on Chest CT during recovery from 2019 Novel Coronavirus (COVID-19) Pneumonia. Radiology. 2020:200370. doi: 10.1148/radiol.2020200370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Wang D. Clinico-radiological features and outcomes in pregnant women with COVID-19 : compared with age-matched non-pregnant women. Lancet. 2020:25. doi: 10.2147/IDR.S264541. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3556647 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.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. Clin. Infect. Dis. 2020:2019–2021. doi: 10.1093/cid/ciaa200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Wang S., Guo L., Chen L., Liu W., Cao Y., Zhang J., Feng L. A case report of neonatal COVID-19 infection in China. Clin. Infect. Dis. 2020:3–7. doi: 10.1093/cid/ciaa225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Iqbal S.N., Overcash R., Mokhtari N., Saeed H., Gold S., Auguste T., Mirza M.-U., Ruiz M.-E., Chahine J.J., Waga M., Wortmann G. An uncomplicated delivery in a patient with covid-19 in the United States, N. Engl. J. Med. 2020;382:e34. doi: 10.1056/NEJMc2007605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Limin S., Weimin X., Ken L., Shanglong Y., Xiangdong C. Anesthetic management for emergent cesarean delivery in a parturient with recent diagnosis of coronavirus disease 2019 (COVID-19): a case report. Transl. Perioper. Pain Med. 2020;7:5–8. [Google Scholar]
  • 97.Zhao Y., Zou L., Dong M.-H., Liu X.-X., Liu Y.-L., Zhu J.-W., Luo Q.-Q., Gao H. Challenges for obstetricians and the countermeasures of COVID-19 epidemic. Matern. Med. Latest Art. 2020 doi: 10.1097/FM9.0000000000000046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Lowe B., Bopp B. COVID-19 vaginal delivery - a case report. Aust. New Zeal. J. Obstet. Gynaecol. 2020 doi: 10.1111/ajo.13173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Lee D.H., Lee J., Kim E., Woo K., Park H.Y., An J. Emergency cesarean section on severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2) confirmed patient. Korean J. Anesthesiol. 2020 doi: 10.4097/kja.20116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Lingkong Z., Xuwei T., Wenhao Y., Jin W., Xin L., Zhisheng L. First case of neonate with COVID-19 in China. Chin. J. Pediatr. 2020;58:1–7. doi: 10.3760/cma.j.cn112140-20200212-00081. [DOI] [PubMed] [Google Scholar]
  • 101.Wang J., Wang D., Chen G.C., Tao X.W., Zeng L.K. SARS-CoV-2 infection with gastrointestinal symptoms as the first manifestation in a neonate. Chin. J. Contemp. Pediatr. 2020;22:211–214. doi: 10.7499/j.issn.1008-8830.2020.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Schnettler W.T., Al Ahwel Y., Suhag A. Severe ARDS in COVID-19-infected pregnancy: obstetric and intensive care considerations. Am. J. Obstet. Gynecol. MFM. 2020:100120. doi: 10.1016/j.ajogmf.2020.100120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Peng Z., Wang J., Mo Y., Duan W., Xiang G., Yi M., Bao L., Shi Y. Unlikely SARS-CoV-2 vertical transmission from mother to child: a case report. J. Infect. Public Health. 2020:4–6. doi: 10.1016/j.jiph.2020.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Xiong X., Wei H., Zhang Z., Chang J., Ma X., Gao X., Chen Q., Pang Q. Vaginal delivery report of a healthy neonate born to a convalescent mother with COVID–19. J. Med. Virol. 2020 doi: 10.1002/jmv.25857. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Han M., Seong M., Heo E., Park J., Kim N., Shin S., Cho S., Park S., Choi E. Sequential analysis of viral load in a neonate and her mother infected with SARS-CoV-2. Infect. Dis. Soc. Am. 2020:1–13. doi: 10.1093/cid/ciaa447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Shojaei S., Kouchek M., Miri M.M., Salarian S., Sistanizad M., Ariana S., Hosseini M., Shoaee S., Haghighi M., Nabavi M., Farahbakhsh M., Ansar P., Mirhadi M., Hadavand F. Twin pregnant woman with COVID-19: a case report. J. Cell. Mol. Anesth. 2020;5:43–46. [Google Scholar]
  • 107.Chen S., Liao E., Cao D., Gao Y., Sun G., Shao Y. Clinical analysis of pregnant women with 2019 novel coronavirus pneumonia. J. Med. Virol. 2020;2019:1–6. doi: 10.1002/jmv.25789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Liu W., Wang J., Li W., Zhou Z., Liu S., Rong Z. Clinical characteristics of 19 neonates born to mothers with COVID-19. Front. Med. 2020 doi: 10.1007/s11684-020-0772-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Liu W., Wang Q., Zhang Q., Chen L. 2020. Coronavirus Disease 2019 (COVID-19) during Pregnancy: a Case Series, Preprint. 2019; pp. 1–28.https://www.preprints.org/manuscript/202002.0373/v1%0Awww.preprints.org [Google Scholar]
  • 110.Liu D., Li L., Zheng D., Wang J., Yang L., Zheng C., Liu D., Li L., Wu X. Pregnancy and perinatal outcomes of women with coronavirus disease (COVID-19) pneumonia: a preliminary analysis. Am. J. Roentgenol. 2020:1–6. doi: 10.2214/AJR.20.23072. [DOI] [PubMed] [Google Scholar]
  • 111.Chen R., Zhang Y., Huang L., heng Cheng B., yuan Xia Z., tao 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. Anesth. 2020 doi: 10.1007/s12630-020-01630-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Yue L., Han L., Li Q., Zhong M., Wang J., Wan Z., Chu C., Zeng Y., Peng M., Yang L., Li N. Anaesthesia and infection control in cesarean section of pregnant women with coronavirus disease 2019 (COVID-19) MedRxiv. 2020:2020. doi: 10.1016/j.jclinane.2020.109908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Yu N., Li W., Kang Q., Xiong Z., Wang S., Lin X., Liu Y., Xiao J., Liu H., Deng D., Chen S., Zeng W., Feng L., Wu J. 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;20:559–564. doi: 10.1016/S1473-3099(20)30176-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Nie R., Wang S., Yang Q., Fan C., Liu Y., He W., Jiang M. Clinical features and the maternal and neonatal outcomes of pregnant women with Coronavirus Disease 2019. MedRxiv. 2020:1–23. [Google Scholar]
  • 115.Zhang Z.J., Yu X.J., Fu T., Liu Y., Jiang Y., Yang B.X., Bi Y. Novel coronavirus infection in newborn babies under 28 Days in China. Eur. Respir. J. 2020 doi: 10.1183/13993003.00697-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Yin M., Zhang L., Deng G., Han C., Shen M., Sun H., Zeng F., Zhang W., Chen L., Luo Q., Yao D., Wu M., Yu S., Chen H., Baud D., Chen X. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during pregnancy in China: a retrospective cohort study. MedRxiv. 2020;2:2020. doi: 10.1101/2020.04.07.20053744. [DOI] [Google Scholar]
  • 117.Yang P., Wang X., Liu P., Wei C., He B., Zheng J., Zhao D. Clinical characteristics and risk assessment of newborns born to mothers with COVID-19. J. Clin. Virol. 2020;127:104356. doi: 10.1016/j.jcv.2020.104356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Zhang Y., Chen R., Wang J., Gong Y., Zhou Q., Cheng H., Zhong-yuan X., Chen X., Meng Q., Ma D. Anaesthetic managment and clinical outcomes of parturients with COVID-19: a multicentre, retrospective, propensity score matched cohort study. MedRxiv. 2020 [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

200608 Supplementary Material Placenta.docx
mmc1.docx (123.2KB, docx)

Data Availability Statement

Data will be made available on request.


Articles from Heliyon are provided here courtesy of Elsevier

RESOURCES