Publicado

2023-01-01

COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews

COVID-19 en gestantes y neonatos: características clínicas y hallazgos de laboratorio e imagenológicos. Un resumen de revisiones sistemáticas

DOI:

https://doi.org/10.15446/revfacmed.v71n1.97588

Palabras clave:

Pregnant Women, Infant, Newborn, Coronavirus Infections, COVID-19 (en)
Mujeres embarazadas, Recién nacido, Infecciones por coronavirus, COVID-19 (es)

Autores/as

  • Paola Cristina Toapanta-Pinta Universidad Central del Ecuador - Facultad de Ciencias Médicas - Carrera de Obstetricia - Quito - Ecuador. | Universidade de São Paulo - Faculdade de Medicina de Riberão Preto - São Paulo - Brasil. https://orcid.org/0000-0003-2804-2504
  • Cristhian Santiago Vasco-Toapanta Universidad San Francisco de Quito - Colegio de Ciencias de la Salud - Quito - Ecuador. https://orcid.org/0000-0002-2874-9836
  • Alonso Ernesto Herrera-Tasiguano Universidad Central del Ecuador - Facultad de Ciencias Médicas - Carrera de Enfermería - Quito - Ecuador. | Pontificia Universidad Católica del Ecuador - Facultad de Medicina - Quito - Ecuador. | Hospital Gineco Obstétrico Isidro Ayora - Servicio de Neonatología - Quito - Ecuador. https://orcid.org/0000-0002-1747-5606
  • Catalina Angélica Verdesoto-Jácome Pontificia Universidad Católica del Ecuador - Facultad de Medicina - Quito - Ecuador. | Hospital Gineco Obstétrico Isidro Ayora - Servicio de Neonatología - Quito - Ecuador https://orcid.org/0000-0003-2741-9023
  • María José Páez-Pástor Universidad Central del Ecuador - Facultad de Ciencias Médicas - Carrera de Obstetricia - Quito - Ecuador. | Hospital Gineco Obstétrico Isidro Ayora - Servicio de Neonatología - Quito - Ecuador https://orcid.org/0000-0002-0967-5018
  • Santiago Vasco-Morales Universidad Central del Ecuador - Facultad de Ciencias Médicas - Carrera de Obstetricia - Quito - Ecuador. | Universidade de São Paulo - Faculdade de Medicina de Riberão Preto - São Paulo - Brasil. | Hospital Gineco Obstétrico Isidro Ayora - Servicio de Neonatología - Quito - Ecuador https://orcid.org/0000-0002-1370-9700

Introduction: SARS-CoV-2 infection in the perinatal period may be associated with an increased risk of morbidity and mortality in both the mother and the neonate.

Objective: To describe the clinical characteristics and laboratory and imaging findings in pregnant women with COVID-19 and their newborns.

Materials and methods: A search was conducted in PubMed, Scopus, Web of Science, and Cochrane databases for systematic reviews published between February 1, 2020, and May 30, 2021, describing clinical characteristics and laboratory and imaging (chest) findings in pregnant women with COVID-19 and their newborns; there were no language restrictions. Data were reanalyzed by means of Bayesian meta-analysis using Markov Chain Monte Carlo (MCMC) methods. The study protocol is registered in PROSPERO under code CRD42020178329.

Results: Six systematic reviews were retrieved (for a total of 617 primary studies). A narrative synthesis of the percentage of signs, symptoms, and imaging and laboratory findings found in both mothers and neonates was performed. Odds ratios (OR) between pregnant women with and without COVID-19 were: fetal well-being involvement: 1.9 (95%CI: 1.09-3.63); stillbirth: 1.73 (95%CI: 1.01-2.94); preterm birth: 1.77 (95%CI: 1.25-2.61); and maternal admission to the intensive care unit (ICU): 6.75 (95%CI: 1-31.19). Regarding symptomatology, an OR of 0.67 (95%CI: 0.51-0.93) was obtained for myalgia between pregnant women and non-pregnant women with COVID-19.

Conclusions: Cough, fever, dyspnea, and myalgia are the most common symptoms in pregnant women with COVID-19; in addition, there is a higher risk of admission to the ICU among them. Regarding complementary testing, the most frequent alterations are lymphopenia and the evidence of lesions in chest imaging studies. The presence of COVID-19 in pregnant women is associated with preterm birth. It seems that SARS-CoV-2 infection in neonates is not severe and that the risk of vertical transmission is low, considering that no data on congenital malformations attributable to the virus were found.

Introducción. La infección por SARS-CoV-2 en el periodo perinatal puede asociarse a un mayor riesgo de morbimortalidad tanto en la madre como en el neonato.

Objetivo. Describir las características clínicas y los hallazgos de laboratorio e imagenológicos en gestantes con COVID-19 y sus recién nacidos.

Materiales y métodos. Se realizó una búsqueda en PubMed, Scopus, Web of Science y Cochrane de revisiones sistemáticas, publicadas entre el 1 de febrero de 2020 y el 30 de mayo de 2021, que describieran características clínicas y hallazgos de exámenes de laboratorio y de imagen (tórax) en gestantes con COVID-19 y sus recién nacidos; no hubo restricciones de idioma. Se reanalizaron los datos mediante metaanálisis bayesianos utilizando métodos de Monte Carlo basados en Cadenas de Markov. El protocolo del estudio está registrado en PROSPERO bajo el código CRD42020178329.

Resultados. Se recuperaron 6 revisiones sistemáticas (para un total de 617 estudios primarios). Se realizó una síntesis narrativa de las proporciones de los signos, síntomas y hallazgos imagenológicos y de laboratorio tanto de las madres, como de los neonatos. Las Odds ratio (OR) entre las embarazadas con y sin COVID-19 fueron: compromiso del bienestar fetal: 1.9 (IC95%:1.09-3.63), mortinato: 1.73 (IC95%:1.01-2.94), nacimiento prematuro: 1.77 (IC95%:1.25-2.61) y admisión de la madre a unidad de cuidados intensivos (UCI): 6.75 (IC95%: 1-31.19). Con relación a la sintomatología: la OR para la mialgia entre las embarazadas y las no embarazadas con COVID-19 fue 0.67 (IC95%:0.51-0.93).

Conclusiones. Los síntomas más comunes en las embarazadas con COVID-19 son tos, fiebre, disnea y mialgias; además, existe un mayor riesgo de ingreso a UCI. En lo que respecta a los exámenes complementarios, las alteraciones más frecuentes son la linfopenia y las lesiones evidenciadas en los estudios de imagen del tórax. La presencia de COVID-19 en las gestantes se asocia con nacimiento prematuro. Al parecer, la infección por SARS-CoV-2 en neonatos no es grave y el riesgo de transmisión vertical es bajo, pues no se encontraron datos sobre malformaciones congénitas atribuibles al virus.

97588

systematic review

COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews

COVID-19 en gestantes y neonatos: características clínicas y hallazgos de laboratorio e imagenológicos. Un resumen de revisiones sistemáticas

Paola Cristina Toapanta-Pinta1,2 Cristhian Santiago Vasco-Toapanta3 Alonso Ernesto Herrera-Tasiguano4-6 Catalina Angélica Verdesoto-Jácome5-6 María José Páez-Pastor1-6 Santiago Vasco-Morales1,2,6

1 Universidad Central del Ecuador - Faculty of Medical Sciences - Obstetrics Program - Quito - Ecuador.

2 Universidade de São Paulo - Faculty of Medicine of Riberão Preto - São Paulo - Brazil.

3 Universidad San Francisco de Quito - College of Health Sciences - Quito - Ecuador.

4 Universidad Central del Ecuador - Faculty of Medical Sciences - Nursing Program - Quito - Ecuador.

5 Pontificia Universidad Católica del Ecuador - Faculty of Medicine - Quito - Ecuador.

6 Hospital Gineco Obstétrico Isidro Ayora - Neonatology Service - Quito - Ecuador.

Open access

Received: 01/08/2021

Accepted: 10/02/2022

Corresponding author: Paola Cristina Toapanta-Pinta. Carrera de Obstetricia, Facultad de Ciencias Médicas, Universidad Central del Ecuador. Quito. Ecuador. Email: ptoapanta@uce.edu.ec.

Keywords: Pregnant Women; Infant, Newborn; Coronavirus Infections; COVID-19 (MeSH).

Palabras clave: Mujeres embarazadas; Recién nacido; Infecciones por coronavirus; COVID-19 (DeCS).

How to cite: Toapanta-Pinta PC, Vasco-Toapanta CS, Herrera-Tasiguano AE, Verdesoto-Jácome CA, Páez-Pastor MJ, Vasco-Morales S. COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews. Rev. Fac. Med. 2023;71(1):e97588. English. doi: https://doi.org/10.15446/revfacmed.v71n1.97588.

Cómo citar: Toapanta-Pinta PC, Vasco-Toapanta CS, Herrera-Tasiguano AE, Verdesoto-Jácome CA, Páez-Pastor MJ, Vasco-Morales S. [COVID-19 en gestantes y neonatos: características clínicas y hallazgos de laboratorio e imagenológicos. Un resumen de revisiones sistemáticas]. Rev. Fac. Med. 2023;71(1):e97588. English. doi: https://doi.org/10.15446/revfacmed.v71n1.97588.

Copyright: Copyright: ©2023 Universidad Nacional de Colombia. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, as long as the original author and source are credited.

Abstract

Introduction: SARS-CoV-2 infection in the perinatal period may be associated with an increased risk of morbidity and mortality in both the mother and the neonate.

Objective: To describe the clinical characteristics and laboratory and imaging findings in pregnant women with COVID-19 and their newborns.

Materials and methods: A search was conducted in PubMed, Scopus, Web of Science, and Cochrane databases for systematic reviews published between February 1, 2020, and May 30, 2021, describing clinical characteristics and laboratory and imaging (chest) findings in pregnant women with COVID-19 and their newborns; there were no language restrictions. Data were reanalyzed by means of Bayesian meta-analysis using Markov Chain Monte Carlo (MCMC) methods. The study protocol is registered in PROSPERO under code CRD42020178329.

Results: Six systematic reviews were retrieved (for a total of 617 primary studies). A narrative synthesis of the percentage of signs, symptoms, and imaging and laboratory findings found in both mothers and neonates was performed. Odds ratios (OR) between pregnant women with and without COVID-19 were: fetal well-being involvement: 1.9 (95%CI: 1.09-3.63); stillbirth: 1.73 (95%CI: 1.01-2.94); preterm birth: 1.77 (95%CI: 1.25-2.61); and maternal admission to the intensive care unit (ICU): 6.75 (95%CI: 1-31.19). Regarding symptomatology, an OR of 0.67 (95%CI: 0.51-0.93) was obtained for myalgia between pregnant women and non-pregnant women with COVID-19.

Conclusions: Cough, fever, dyspnea, and myalgia are the most common symptoms in pregnant women with COVID-19; in addition, there is a higher risk of admission to the ICU among them. Regarding complementary testing, the most frequent alterations are lymphopenia and the evidence of lesions in chest imaging studies. The presence of COVID-19 in pregnant women is associated with preterm birth. It seems that SARS-CoV-2 infection in neonates is not severe and that the risk of vertical transmission is low, considering that no data on congenital malformations attributable to the virus were found.

Resumen

Introducción. La infección por SARS-CoV-2 en el periodo perinatal puede asociarse a un mayor riesgo de morbimortalidad tanto en la madre como en el neonato.

Objetivo. Describir las características clínicas y los hallazgos de laboratorio e imagenológicos en gestantes con COVID-19 y sus recién nacidos.

Materiales y métodos. Se realizó una búsqueda en PubMed, Scopus, Web of Science y Cochrane de revisiones sistemáticas, publicadas entre el 1 de febrero de 2020 y el 30 de mayo de 2021, que describieran características clínicas y hallazgos de exámenes de laboratorio y de imagen (tórax) en gestantes con COVID-19 y sus recién nacidos; no hubo restricciones de idioma. Se reanalizaron los datos mediante metaanálisis bayesianos utilizando métodos de Monte Carlo basados en Cadenas de Markov. El protocolo del estudio está registrado en PROSPERO bajo el código CRD42020178329.

Resultados. Se recuperaron 6 revisiones sistemáticas (para un total de 617 estudios primarios). Se realizó una síntesis narrativa de las proporciones de los signos, síntomas y hallazgos imagenológicos y de laboratorio tanto de las madres, como de los neonatos. Las Odds ratio (OR) entre las embarazadas con y sin COVID-19 fueron: compromiso del bienestar fetal: 1.9 (IC95%:1.09-3.63), mortinato: 1.73 (IC95%:1.01-2.94), nacimiento prematuro: 1.77 (IC95%:1.25-2.61) y admisión de la madre a unidad de cuidados intensivos (UCI): 6.75 (IC95%: 1-31.19). Con relación a la sintomatología: la OR para la mialgia entre las embarazadas y las no embarazadas con COVID-19 fue 0.67 (IC95%:0.51-0.93).

Conclusiones. Los síntomas más comunes en las embarazadas con COVID-19 son tos, fiebre, disnea y mialgias; además, existe un mayor riesgo de ingreso a UCI. En lo que respecta a los exámenes complementarios, las alteraciones más frecuentes son la linfopenia y las lesiones evidenciadas en los estudios de imagen del tórax. La presencia de COVID-19 en las gestantes se asocia con nacimiento prematuro. Al parecer, la infección por SARS-CoV-2 en neonatos no es grave y el riesgo de transmisión vertical es bajo, pues no se encontraron datos sobre malformaciones congénitas atribuibles al virus.

Introduction

SARS-CoV-2 is a non-segmented, enveloped RNA virus belonging to the Coronaviridae family of the order Nidovirales. This virus has high similarity to other coronaviruses reported in the past (20-60% with MERS-CoV and 45-90% with SARS-CoV) and is responsible for the 2019 coronavirus disease (COVID-19).1-6 SARS-CoV-2 uses the angiotensin-converting enzyme 2 (ACE2) receptor as the main entry into cells; this receptor is found in the mucosa of the respiratory tract, vascular endothelial cells, heart, intestine, and kidney.7,8 The clinical manifestations of COVID-19 vary considerably, ranging from asymptomatic patients to cases presenting with multiple organ dysfunction leading to death.8-11

SARS-CoV-2 infection in the perinatal period has raised concerns about potential outcomes for both pregnant women and newborns (NB)12,13 because the changes that occur over the course of COVID-19 in the cardiorespiratory and immune systems increase the susceptibility of pregnant women to respiratory infections. In addition, due to the effect of estrogens in the nasopharynx, one fifth of pregnant women develop gestational rhinitis, which can mask the coryza of this disease.14,15 According to Narang et al.,13 the incidence of preeclampsia also increases in pregnant women infected with SARS-CoV-2 due to the interaction of the virus with ACE2. Moreover, as reported by Juan et al.,16 this virus can cross the wall of the chorionic villi and cause vertical transmission.

Consequently, the objective of the present study was to describe the clinical characteristics and laboratory and imaging findings in pregnant women with COVID-19 and their NB.

Materials and methods

An overview of systematic reviews (SR) was performed. The study protocol is available in the Prospective International Registry of Systematic Reviews (PROSPERO) under code CRD42020178329.17

Search strategy

The acronym POT was used for the preparation of this SR overview, and the letters stand for: P (population): pregnant patients and their NBs; O (outcome): clinical, radiological and laboratory characteristics of pregnant women with a confirmed diagnosis of COVID-19 and their NBs; and T (type of study): SR of observational studies.

The search for SRs was carried out in PubMed, Scopus, Web of Science and Cochrane Database of Systematic Reviews using the following search strategy: publication period: February 1, 2020 to May 30, 2021; types of study: systematic reviews describing clinical features and imaging and laboratory findings in pregnant women diagnosed with COVID-19 and their NBs; language: unrestricted; search terms: “COVID-19”, “coronavirus”, “coronavirus covid-19”, “SARS CoV 2” “pregnant” “pregnant women”, “newborn” and “neonate”, which were combined using the “OR” and “AND” connectors to establish the search equations. The following validated filters were also used for the search: (((systematic review[ti] OR systematic literature review[ti] OR systematic quantitative review[ti] OR systematic meta-review[ti] OR systematic critical review[ti] OR systematic mixed studies review[ti] OR systematic mapping review[ti] OR systematic cochrane review[ti] OR systematic search and review[ti]) NOT comment[pt] NOT (protocol[ti] OR protocols[ti])) NOT MEDLINE [subset]) OR (Cochrane Database Syst Rev[ta] AND review[pt]) OR systematic review[pt].

Inclusion criteria and quality of evidence

SRs that included primary cohort or case-control studies describing the clinical characteristics and the results of laboratory tests and chest imaging studies (of pregnant women and their NBs) were selected. Moreover, in order to improve the quality of the evidence presented, only those SRs that obtained a score ≥70% in the critical evaluation were included. The validated tool published by the Joanna Briggs Institute18 was used to assess the methodological quality of a study and determine the extent to which a study addressed the possibility of bias in its design, implementation, and analysis.

Similarly, following the recommendations of the Cochrane Manual,19 the quality of the evidence was evaluated for each of the outcomes presented in the SRs included, considering the risk of bias, indirect evidence, inconsistency, and imprecision, in accordance with the indications of the GRADE handbook.20

Search procedure

The present SR overview was carried out as follows: AEHT and CVAJ conducted the database searches, and SVM and PCTP independently selected the articles based on the title and abstract reading and then applied the inclusion criteria to select articles for full-text reading. In case of disagreement, all authors reached a consensus decision. Data extraction and transfer to the spreadsheet base form was performed by CSVT and MJPP. Tables presenting the results were prepared by SVM and CSVT, while the meta-analyses were performed by SVM. All authors participated in the final drafting of the document.

Statistical analysis

The odds ratio (OR) with its 95% confidence interval (95%CI), if available, was obtained for each variable; the number of cases (n) and the total number of observations (N) were also extracted, both to calculate the percentages and to reanalyze the data and confirm the associations.

Bayesian random-effects meta-analyses were performed; they have multiple advantages over the frequentist model, since the graphs accurately explain each parameter and the number of patients, or sample size, does not influence the results. Therefore, this statistical model is considered robust to outliers or heterogeneous values.21-23

In each meta-analysis, Markov chain Monte Carlo methods were applied, which simulate values from the prior distribution and generate a representative sample of values from the posterior distribution; to achieve this, four chains were structured, and 10 000 interactions were calculated.21,24 The effect size (ES) with its 95%CI quantifies the difference between the groups analyzed. In addition, the forest plots show the values of the estimated ES for each study; the overall ES estimated by the model is represented in the graphs with the Greek letter mu (μ), and the OR corresponds to the antilogarithm of μ. The Bayes factor for effect size is presented using a sequential plot that shows how the entry of each study determines the direction that the posterior probabilities of the model take, either toward the alternative hypothesis (H1) or toward the null hypothesis (H0).

The Mendeley and Zotero reference managers were used for the management and detection of duplicate articles, and the Rayyan QCRI collaborative web application was used for the selection of SRs.25 Meta-analyses were performed with the statistical software R v4.0.126 and JASP.27

Results

The initial search yielded 331 results, of which 202 were eliminated because they were duplicates, 97 because they did not address the research topic, 18 because they did not meet the inclusion criteria, and 8 because they were not considered relevant to the research objective, so 6 SRs were finally included (Figure 1).

Figure 1. Search and selection flowchart of systematic reviews.

Source: Own elaboration.

The SRs included described a total of 617 primary articles, of which 14 (0.02%) overlapped. Table 1 presents the main characteristics of the six SRs included in the study.

Table 1. Characteristics of the systematic reviews included in the overview.

Author

No. of primary studies

Type of studies

Origin of primary studies

Population

Comparison

Critical appraisal

Allotey et al.14

192

- Comparative cohort: 131 (68.23%)

- Non-comparative cohort: 61 (31.77%)

United States (n=58), China (n=31), Italy (n=17), Spain (n=15), Turkey (n=8), United Kingdom (n=7), India (n=7), Brazil (n=5), France (n=5), Mexico (n=5), Iran (n=3), Portugal (n=3), Belgium, Denmark, Netherlands, Peru and Sweden (2 from each country), Bangladesh, Chile, Estonia, Israel, Japan, Germany, Ireland, Kuwait, Pakistan, Qatar, Romania, Russia and Switzerland (1 from each country) *

14 studies compared pregnant versus non-pregnant women (n=602 565 women), 47 studies compared pregnant women with COVID-19 versus pregnant women without COVID-19 (n=26 017 women), 82 cohort studies reported on clinical manifestations (n=41 396 pregnant women, n=434 348 non-pregnant women), 92 studies reported maternal outcomes related to COVID-19 (n=49 443 pregnant women, n=568 386 non-pregnant women), and 95 studies reported on maternal (n=54 943 women) and perinatal (n=9 466 newborns) outcomes

Pregnant women with COVID-19 and non-pregnant women with COVID-19.

Pregnant women with risk factor and severe COVID-19 and pregnant women with risk factor and without severe COVID-19.

Pregnant women with COVID-19 and pregnant women without COVID-19.

100%

Jafari et al.28

349

- Case reports and series: 70 (20.05%)

- Cohort: 2 (0.57%)

- Cross-sectional: 6 (1.71%)

- Prospective: 8 (2.29%)

- Descriptive: 3 (0.85%)

- Observational: 1 (0.28%)

- Case control (retrospective, cross-sectional, prospective): 21 (6.01%)

- Retrospective cohort: 4 (1.14%)

- Retrospective: 209 (83.09%) †

China (n=235), United States (n=34), France (n=3), Germany (n=2), Japan (n=4), Italy (n=8), Israel (n=2), United Kingdom (n=4), Turkey (n=3), Switzerland (n=3), Iran (n=9); in addition, one of the included studies was conducted in 22 countries and 17 studies were conducted in different countries †

The meta-analysis included 128 176 non-pregnant patients with COVID-19 (228 studies) and 10 000 pregnant patients with confirmed COVID-19 (121 studies)

Pregnant and non-pregnant women with COVID-19, and pregnant women without COVID-19

95%

Wei et al.29

42

- Retrospective cohort: 21 (50%).

- Prospective cohort: 16 (38.1%).

- Case control: 5 (11.9%)

United States (n=19), Spain (n=4), China (n=4), Italy (n=3), France (n=3), Turkey (n=2), Iran (n=2), India, Mexico, Sweden, Chile and United Kingdom (1 from each country)

Data from 438 5458 pregnant women were included. There were 28 studies of patients with confirmed infection and patients without SARS-CoV-2 infection during pregnancy; 12 studies compared symptomatic versus asymptomatic COVID-19 and 13 studies on severe and mild COVID-19 during gestation were included

Pregnant women with COVID-19 and pregnant women without COVID-19.

Symptomatic pregnant women with COVID-19 and asymptomatic pregnant women with COVID-19.

Pregnant women with severe COVID-19 and pregnant women with mild COVID-19

81%

Huntley et al.30

6

- Observational studies: 6 (100%)

United States (n=3), Spain (n=1), India (n=1) and Sweden (n=1)

All 6 publications were observational studies reporting universal detection of SARS-CoV-2 on admission for delivery. Information from 728 deliveries (including 14 multiples) of women who tested positive for SARS-CoV-2 and 3 836 deliveries (including 77 multiples) of women who tested negative are described

Pregnant women with COVID-19 and pregnant women without COVID-19

75%

Novoa et al.31

37 ‡

- Case control: 4 (10.81%)

- Case series: 9 (24.32%)

- Clinical cases: 23 (62.16%)

- National report: 1 (2.7%)

The 4 control cases were from China

For the descriptive analysis, 322 pregnant women were included: 111 (34.5%) from the Netherlands, 80 (24.8%) from the United States, 76 (23.6%) from China, 43 (13.3%) from Italy, 2 (0.6%) from Canada, and 1 each from Honduras, South Korea, Sweden, Germany, Turkey, Iran, Australia, Spain, Peru, and India

Pregnant women with COVID-19 and non-pregnant women with COVID-19. Pregnant women with COVID-19 and pregnant women without COVID-19

85%

Khan et al.15

9

- Retrospective cohort: 6 (66.66%)

- Case control: 2 (22.22%)

- Prospective cohort: 1 (11.11%)

China (n=5), United States (n=2), Israel (n=1), Mexico (n=1), United States (n=2)

A total of 591 058 women were described, of whom 28 797 were pregnant

Pregnant women with COVID 19 and non-pregnant women with COVID 19.

85%

* The study by Jafari et al.28 does not report the origin of 5 of the included studies.

† In the original study, these data are only reported for 324 of the 349 studies.

‡ Of the 37 articles included, 33 (case reports, national reports, and case series) were used for descriptive analysis and 4 (case-control studies) for meta-analysis.

Source: Own elaboration.

Regarding symptoms in pregnant women with COVID-19, it was found that the percentage of asymptomatic patients ranged from 28.48% to 85.97%; that cough was present in 41.26-48.54%;14,30,31 fever, in 17.52-74.98%;14,15,28,31 myalgia, in 18.99-26.51%,14,28 and dyspnea, in 5.64%-21.98%.14,28,31 In addition, Allotey et al.14 found that 35% (95%CI: 26-45) of patients developed pneumonia and 22% of those patients (95%CI: 12-36) required oxygen; these values were obtained from a single ratio meta-analysis.

The percentage of pregnant women with severe disease or who required admission to the intensive care unit (ICU) ranged from 1.88% to 10.36%.14,30,31 Huntley et al.30 reported that maternal sepsis occurred in 3.12% of cases, while Allotey et al.14 reported a much lower incidence of hepatic, cardiac or renal failure in patients, with a range of 0.00-0.13%. The maternal mortality reported by Jafari et al.28 (11.31%) was quite high compared to that reported by Novoa et al.,31 who reported 0.31%, and by Allotey et al.,14 who found a range of 0.00-0.08% for this outcome.

The most common comorbidities found were: obesity, diabetes (any type), preeclampsia, hypertensive disorders and asthma, which ranged from 23.17-24.21%,30,31 3.31-9.98%,28,30,31 2.34%-9.48%,28,31 2.34%-9.01%,28,30,31 and 7.81%,31 respectively. Other interesting findings were reported by Huntley et al.,30 who found that 33.05% of pregnant women with COVID-19 were older than 35 years and that 8.49% smoked, and by Jafari et al.,28 who reported that 17.05% of pregnant women with COVID-19 were health care workers.

In the SRs reviewed, laboratory tests of pregnant women with COVID-19 reported lymphopenia, leukocytosis, thrombocytopenia and elevated C-reactive protein (CRP) levels in 35.95-64.03%, 9.77-27.41%, 5.68-17.02%, and 46.78-52.27% of cases, respectively.14,28,31 Only Allotey et al.14 reported elevated procalcitonin levels in 21% (95%CI: 0-59%) of the pregnant women; in addition, these same authors found abnormal liver function tests in 13% (95%CI: 6-21%). In turn, Novoa et al.31 found elevated transaminase levels in up to 9% of pregnant women. Abnormalities in chest x-rays or CT scans were observed in 69%, 89% and 93.91% of pregnant women according to Allotey et al.,14 Jafari et al.,28 and Novoa et al.,31 respectively.

Jafari et al.28 reported that 7.99% of NBs were positive for SARS-CoV-2 and that the virus was isolated from placenta, vaginal secretion, umbilical cord, amniotic fluid and breast milk samples in 12.08%, 4.74%, 5.86%, 5.57%, and 4.94%, respectively. Furthermore, according to these same authors, 5.32% of NBs were infected by vertical transmission, there was bacterial coinfection in 16.01% of pregnant women, and viral coinfection occurred in 14.01% of cases, although the germs were not identified.28

Regarding obstetric outcomes, 30.81-54% of the newborns were delivered by cesarean section and 13.31-20.98% were preterm; also, fetal well-being involvement (FWI) occurred in 4.91-15.97% of the cases.14,28,30,31 The 54.51% figure reported by Jafari et al.28 for postpartum bleeding was significantly higher than that described in the reviews by Allotey et al.,14 who found a percentage of 8% (95%CI: 3-14), and Huntley et al.,30 who reported that antepartum or postpartum bleeding occurred in 3.96% of cases. On the other hand, Allotey et al.14 and Jafari et al.28 found that the percentage of pregnant women with premature rupture of membranes (PROM) was 5.84% and 14.03%, respectively; in addition, the latter study found that 4.02% of the pregnant women suffered miscarriages.

Regarding neonatal outcomes, Jafari et al.28 reported that 55.84% of infants born to mothers with COVID-19 received breast milk substitutes, while 38.96% received mixed feeding. Admission to neonatology units was reported in 12.75-33% of cases.14,28,30 Jafari et al.28 also stated that the percentage of stillbirths and neonatal mortality was 4.04% and 2.51%, respectively, the latter figure being considerably higher than that reported by Allotey et al.14 and Novoa et al.,30 who reported <1%. Huntley et al.30 reported that 11.57% of the NBs were small for gestational age, while those large for gestational age accounted for 8.94%. Furthermore, in that study, NBs requiring mechanical ventilation >6 hours accounted for 6.06%.

Table 2 presents an overview of the SRs comparing pregnant and non-pregnant women with COVID-19,14,15,28,31 while Table 3 presents an overview of the SRs comparing pregnant women with and without COVID-19.14,28-31

Table 2. Comparison: pregnant and non-pregnant women with COVID-19.

Author

Results

Pregnant (n/N)

Non-pregnant (n/N)

OR (IC-95%)

No. of studies

GRADE

Allotey et al.14

Any symptoms

23 494/30 493

386 169/431 558

0.28 (0.13-0.62)

4

⨁⨁⨁⨁ HIGH

Fever

3 516/17 811

69 967/222 513

0.49 (0.38-0.63)

11

⨁⨁⨁⨁ HIGH

Cough

1 839/5 468

23 647/75 053

0.72 (0.50-1.03)

11

⨁⨁⨁⨁ HIGH

Dyspnea

2 835/17 808

44 869/222 516

0.76 (0.67-0.85)

11

⨁⨁⨁⨁ HIGH

Myalgia

3 944/17 727

80 521/222 378

0.53 (0.36-0.78)

8

⨁⨁⨁⨁ HIGH

All causes of mortality

103/34 047

3 388/567 075

0.96 (0.79-1.18)

8

⨁⨁⨁◯ MODERATE

ICU

616/34 035

9 568/567 073

2.13 (1.54-2.95)

7

⨁⨁⨁◯ MODERATE

Invasive mechanical ventilation

270/34 001

3 280/567 043

2.59 (2.28-2.94)

6

⨁⨁⨁◯ MODERATE

Jafari et al.28

Fever

4 562/31 871

87 090/470 092

0.8 (0.6-1.1)

5

⨁⨁◯◯ LOW

Cough

23 114/241 238

41 570/121 240

0.7 (0.67-0.75)

5

⨁⨁◯◯ LOW

Sore throat

543/14 238

1 682/41 240

0.66 (0.61-0.7)

5

⨁⨁◯◯ LOW

Headache

2 710/14 138

41 899/121 240

0.55 (0.55-0.58)

5

⨁⨁⨁◯ MODERATE

Fatigue

1 929/13 238

30 505/98 240

0.58 (0.54-0.61)

5

⨁⨁◯◯ LOW

Diarrhea

872/14 138

18 121/142 240

0.46 (0.4-0.51)

4

⨁⨁◯◯ LOW

Nausea and vomiting

2 737/31 672

35 798/469 268

1 (0.94-1.1)

3

⨁⨁⨁◯ MODERATE

Khan et al.15

Asymptomatic

16/82

7/136

3.94 (1.69-9.20)

3

⨁⨁⨁◯ MODERATE

Fever

3 389/23 576

68 687/386 262

0.74 (0.64-0.85)

7

⨁⨁⨁⨁ HIGH

Cough

5 288/23 565

89 545/386 237

0.85 (0.70-1.04)

6

⨁⨁⨁⨁ HIGH

Rhinorrhea

1 329/23 465

22 750/409 542

1.43 (0.29-7.08)

2

⨁⨁⨁◯ MODERATE

Headache

4 452/23 516

95 723/386 164

0.77 (0.74-0.79)

4

⨁⨁⨁⨁ HIGH

Fatigue

1 419/23 506

29 811/386 103

0.64 (0.39-1.05)

7

⨁⨁⨁⨁ HIGH

Myalgia

3 391/23 516

78 738/386 164

0.92 (0.89-0.95)

4

⨁⨁⨁⨁ HIGH

Shortness of breath

374/23 485

7 088/386 084

0.86 (0.77-0.95)

3

⨁⨁⨁⨁ HIGH

Wheezing

172/23 434

3 743/386 028

0.76 (0.65-0.88)

1

⨁⨁◯◯ LOW

Diarrhea

1 482/23 485

38 172/386 084

0.40 (0.39-0.43)

3

⨁⨁⨁◯ MODERATE

Nausea and vomiting

2 054/23 468

29 004/386 058

0.84 (0.29-2.39)

2

⨁⨁⨁◯ MODERATE

Dyspnea

1/48

3/106

1.19 (0.10-14.20)

2

⨁⨁⨁◯ MODERATE

Anosmia/ageusia

2 234/23 434

43 256/386 028

0.85 (0.82-0.89)

1

⨁⨁◯◯ LOW

Sore throat

2 956/23 465

60 231/386 108

0.64 (0.13-3.15)

2

⨁⨁⨁◯ MODERATE

Obesity

621/28 617

1 810/561 933

0.68 (0.63-0.73)

2

⨁⨁◯◯ LOW

White ethnicity

5 507/23 434

124 301/386 028

0.73 (0.71-0.75)

1

⨁⨁◯◯ LOW

Chronic heart disease

334/28 720

8 900/562 137

0.58 (0.44-0.77)

5

⨁⨁⨁⨁ HIGH

Diabetes mellitus

608/28 710

14 793/562 097

1.02 (0.63-1.65)

5

⨁⨁◯◯ LOW

Admission to ICU

400/28 686

2 435/562 058

2.26 (1.68-3.05)

5

⨁⨁⨁⨁ HIGH

Maternal death

111/28 617

3 036/561 933

1.08 (0.89-1.31)

2

⨁⨁⨁◯ MODERATE

Novoa et al.31

Fever

12/44

43/68

0.13 (0.05-0.36)

2

⨁⨁⨁◯ MODERATE

Cough

13/44

41/68

0.26 (0.11-0.59)

2

⨁⨁⨁◯ MODERATE

Dyspnea

4/44

6/68

1.08 (0.29-4.02)

2

⨁⨁⨁◯ MODERATE

Leukocytosis

28/44

2/68

50.42 (11.38-224.41)

2

⨁⨁◯◯ LOW

Elevated CRP levels

30/44

21/68

4.39 (1.90-10.14)

2

⨁⨁⨁◯ MODERATE

Lymphopenia

17/44

25/68

0.80 (0.34-1.88)

2

⨁⨁⨁◯ MODERATE

Pneumonia on CT scan

39/44

68/68

0.11 (0.01-1.01)

2

⨁⨁⨁◯ MODERATE

n: number of cases; N: total number of observations; OR: Odds ratio; No. of studies: number of primary studies describing this variable; ICU: intensive care unit; CRP: C-reactive protein; CT: computed tomography.

Source: Own elaboration.

Table 3. Comparison: Pregnant women with and without COVID-19.

Author

Result

With COVID-19 (n/N)

Without COVID-19 (n/N)

OR (95%CI) *

No. of studies

GRADE

Allotey et al.14

All causes of mortality

8/1 195

8/3 625

2.85 (1.08-7.52)

8

⨁⨁⨁⨁ HIGH

Admission to ICU

64/1 508

4/3 482

18.58 (7.53-45.82)

7

⨁⨁⨁⨁ HIGH

Preterm birth

147/1 184

572/7 365

1.47 (1.14-1.91)

18

⨁⨁⨁⨁ HIGH

Cesarean section

669/1 854

4 221/11 842

1.12 (0.91-1.38)

21

⨁⨁⨁⨁ HIGH

FWI

11/77

13/263

2.37 (0.77-7.31)

2

⨁⨁⨁⨁ HIGH

Neonatal outcomes

Stillbirth

9/1 039

26/4755

2.84 (1.25-6.45)

9

⨁⨁⨁⨁ HIGH

Neonatal death

4/970

5/3 316

2.77 (0.92-8.37)

8

⨁⨁⨁⨁ HIGH

Admission to neonatology

329/1 285

519/4 588

4.89 (1.87-12.81)

10

⨁⨁⨁⨁ HIGH

Low APGAR score

13/662

46/2 823

1.38 (0.71-2.70)

6

⨁⨁⨁⨁ HIGH

Huntey et al.30

Age >35 years

158/478

599/2 225

1.22 (1.01-1.49) *

2

⨁⨁◯◯ LOW

Diabetes (all types)

54/689

341/3 666

0.84 (0.62-1.13) *

2

⨁⨁◯◯ LOW

Chronic lung disease

16/534

97/3 062

0.94 (0.55-1.63) *

4

⨁⨁◯◯ LOW

Obesity

127/548

788/2 830

0.83 (0.67-1.02) *

3

⨁⨁◯◯ LOW

Smoker

40/471

120/1 972

1.36 (0.96-2.02) *

3

⨁⨁◯◯ LOW

Other comorbidities

28/464

150/2 457

0.98 (0.64-1.48) *

3

⨁⨁◯◯ LOW

Fetal death (≥20 weeks)

8/728

44/3 836

1.3 (0.49-3.42) *

2

⨁⨁◯◯ LOW

Wei et al.29

Preeclampsia

652/7 596

27 647/416 775

1.33 (1.03-1.73)

13

⨁⨁⨁◯ MODERATE

Cesarean section

2 601/8 634

119 049/42 0732

1 (0.82-1.23)

22

⨁⨁⨁⨁ HIGH

Admission to ICU

240/7 279

1 772/402 458

4.78 (2.03-11.25)

5

⨁⨁⨁◯ MODERATE

Neonatal outcomes

Admission to neonatology

305/1 283

480/4 392

3.69 (1.39-9.82)

10

⨁⨁⨁◯ MODERATE

Stillbirth

48/7 590

1 318/405 532

2.11 (1.14-3.90)

6

⨁⨁⨁⨁ HIGH

Preterm birth

665/7 866

24 406/417 491

1.82 (1.38-2.39)

18

⨁⨁⨁◯ MODERATE

Jafari et al.28

Non-gestational diabetes

36/638

120/2 671

1.3 (0.87-1.9)

5

⨁⨁◯◯ LOW

Comorbidities

4/32

5/242

8.4 (0.7-92)

3

⨁⨁◯◯ LOW

LBW

6/32

6/242

9 (2.4-30)

2

⨁⨁◯◯ LOW

FWI

4/32

12/242

2.7 (0.6-9)

2

⨁⨁◯◯ LOW

Cesarean section

179/257

6 399/12 060

3 (2-5)

7

⨁⨁⨁◯ MODERATE

Lab test

Lymphopenia

4/32

29/242

1 (0.3-3)

2

⨁⨁◯◯ LOW

Elevated CRP levels

10/32

125/242

0.4 (0.2-0.9)

2

⨁⨁◯◯ LOW

Neonatal outcome

Preterm birth

45/295

694/12 634

2.5 (1.5-3.5)

8

⨁⨁⨁◯ MODERATE

Novoa et al.31

Preterm birth

7/33

13/166

2.69 (0.98-7.41)

2

⨁⨁⨁◯ MODERATE

FWI

2/33

13/166

0.6 (0.13-2.79)

2

⨁⨁⨁◯ MODERATE

Asphyxia

1/33

1/166

2.93 (0.17-49.86)

2

⨁⨁◯◯ LOW

n: number of cases; N: total number of observations; OR: Odds ratio; No. of studies: number of primary studies describing this variable; ICU: intensive care unit; LBW: low birth weight; FWI: fetal well-being involvement.

* Regarding the study by Huntey et al.,30 the OR values (95% CI) were calculated by the authors of the present study based on the data available in the cited paper.

Source: Own elaboration.

Allotey et al.14 studied the association between some risk factors or comorbidities and the possibility of presenting severe COVID-19 disease, admission to the ICU, invasive mechanical ventilation (IMV) or maternal death; the details of these results are presented in Table 4.

On the other hand, Wei et al.29 analyzed the results of systematic reviews comparing outcomes in pregnant women with severe and mild COVID-19 disease. (Table 5)

Table 4. Comparison: pregnant women with severe COVID-19 disease (intensive care unit admission, invasive mechanical ventilation or maternal death) according to the risk factor described by Allotey et al.14

Risk factors

Result (n/N)

No result (n/N)

OR (95% CI)

No. of studies

GRADE

Age >35 years old

Severe illness

811/3 561

2 750/3 561

1.83 (1.27-2.63)

7

⨁⨁⨁⨁ HIGH

Admission to ICU

348/31 710

31 362/31 710

2.11 (1.69-2.63)

7

⨁⨁⨁⨁ HIGH

Requirement of IMV

18/718

700/718

1.72 (0.60-4.97)

3

⨁⨁⨁⨁ HIGH

BMI >30

Severe illness

787/3 367

2 580/3 367

2.37 (1.83-3.07)

5

⨁⨁⨁⨁ HIGH

Admission to ICU

339/31 456

31 117/31 456

2.71 (1.10-6.63)

4

⨁⨁⨁⨁ HIGH

Requirement for IMV

12/485

4 473/485

6.61 (1.98-22.02)

2

⨁⨁⨁◯ MODERATE

Maternal death

113/31 085

30 972/31 085

2.27 (1.20-4.31)

3

⨁⨁⨁⨁ HIGH

Non-white ethnicity

Severe illness

375/1 638

140/235

0.94 (0.57-1.56)

4

⨁⨁⨁⨁ HIGH

Admission to ICU

306/23 996

158/7 547

1.66 (1.20-2.29)

4

⨁⨁⨁⨁ HIGH

Requirement for IMV

20/134

39/535

2.23 (1.25-3.97)

1

⨁⨁◯◯ LOW

Maternal death

110/24 124

36/7 345

1.61 (1.05-2.47)

3

⨁⨁⨁⨁ HIGH

Any comorbidity

Severe illness

226/730

382/1 904

1.81 (1.49-2.20)

3

⨁⨁⨁⨁ HIGH

Admission to ICU

106/6 639

226/24 873

1.70 (1.34-2.15)

5

⨁⨁⨁⨁ HIGH

Requirement for IMV

7/71

11/644

5.26 (1.76-15.68)

3

⨁⨁⨁◯ MODERATE

Chronic HT

Severe illness

25/61

178/797

2.00 (1.14-3.48)

2

⨁⨁⨁⨁ HIGH

Admission to ICU

15/262

319/31 171

4.72 (2.37-9.41)

5

⨁⨁⨁⨁ HIGH

Requirement for IMV

5/24

7/460

63.82 (9.69-420.45)

2

⨁⨁⨁⨁ HIGH

Maternal death

7/249

81/30 762

4.25 (1.82-9.95)

3

⨁⨁⨁⨁ HIGH

History of diabetes

Severe illness

97/248

696/3 085

2.12 (1.62-2.78)

3

⨁⨁⨁⨁ HIGH

Admission to ICU

36/638

306/30 835

4.67 (1.94-11.22)

6

⨁⨁⨁◯ MODERATE

Requirement for IMV

2/12

9/470

18.61 (0.26-1324.16)

2

⨁⨁◯◯ LOW

Maternal death

11/620

41/30 103

14.88 (4.19-52.81)

2

⨁⨁⨁◯ MODERATE

Gestational diabetes

Severe illness

18/88

148/885

1.23 (0.70-2.14)

4

⨁⨁⨁⨁ HIGH

Admission to ICU

11/81

31/696

3.27 (1.55-6.89)

2

⨁⨁⨁⨁ HIGH

Preeclampsia

Severe illness

4/16

18/258

4.21 (1.27-14.00)

4

⨁⨁⨁⨁ HIGH

Admission to ICU

6/6

2/36

179.40 (7.69-4186.05)

1

⨁◯◯◯ VERY LOW

n: number of cases; N: total number of observations; OR: Odds ratio; No. Studies: number of primary studies describing this variable; BMI: body mass index; HT: hypertension; ICU: intensive care unit; IMV: invasive mechanical ventilation.

Source: Own elaboration.

Table 5. Comparison: Pregnant women with severe and mild COVID-19 according to Wei et al.29

Condition

Severe COVID-19 (n/N)

Mild COVID-19 (n/N)

OR (95%CI)

No. of studies

GRADE

Preeclampsia

9-73

31/448

4.16 (1.55-11.15)

5

⨁⨁⨁◯ MODERATE

Admission to ICU

66/402

4/355

15.46 (5.79-41.23)

5

⨁⨁⨁◯ MODERATE

IVM requirement

86/463

14/499

19.31 (9.38-39.72)

5

⨁⨁⨁◯ MODERATE

Cesarean section

206/369

246/769

2.58 (1.64-4.06)

8

⨁⨁⨁⨁ HIGH

Gestational diabetes

32/229

73/911

1.99 (1.09-3.64)

5

⨁⨁⨁◯ MODERATE

Laboratory tests

Abnormal liver function

77/112

39/238

6.47 (2.60-16.09)

4

⨁⨁⨁◯ MODERATE

Lymphopenia

81/133

140/428

3.04 (1.93-4.79)

4

⨁⨁⨁◯ MODERATE

Neonatal outcomes

Preterm birth

157/444

120/949

4.29 (2.41-7.63)

10

⨁⨁⨁⨁ HIGH

Admission to NICU

97/299

63/430

3.95 (1.43-10.95)

5

⨁⨁⨁◯ MODERATE

LBW

53/225

21/175

1.89 (1.14-3.12)

2

⨁⨁◯◯ LOW

Neonatal death

7/183

5/644

33.71 (5.18-219.44)

3

⨁⨁◯◯ LOW

n: number of cases; N: total number of observations; OR: Odds ratio; No. of studies: number of primary studies describing this variable; ICU: intensive care unit; IMV: invasive mechanical ventilation; NICU: neonatal intensive care unit; LBW: low birth weight.

Source: Own elaboration.

Similarly, Wei et al.29 compared groups of pregnant women with symptomatic and asymptomatic COVID-19, as evidenced in Table 6.

Table 6. Comparison: Pregnant women with symptomatic and asymptomatic COVID-19 according to Wei et al.29

Autor

Condition

Symptomatic COVID-19 (n/N)

Asymptomatic COVID-19 (n/N)

OR (95%CI)

No. of studies

GRADE

Wei et al.29

Cesarean section

1 086/3 112

320/1 120

1.57 (1.32-1.85)

9

⨁⨁⨁◯ MODERATE

IVM requirement

61/587

1/436

16.29 (3.88-68.47)

3

⨁⨁⨁◯ MODERATE

Neonatal outcomes

Preterm birth

474/3 116

108/1 117

2.29 (1.49-3.53)

9

⨁⨁⨁⨁ HIGH

n: number of cases; N: total number of observations; OR: Odds ratio; No. of studies: number of primary studies describing this variable; IMV: invasive mechanical ventilation.

Source: Own elaboration.

All variables were reanalyzed by means of a Bayesian meta-analysis; however, some of the associations described in the SRs could not be confirmed, although significant heterogeneity was found. Figure 2 includes only the variables that showed associations. It presents, together with the forest plot, the Bayes factor for the effect size. Thus, each graph shows how the evidence in favor for the alternative hypothesis accumulates as the studies are entered. In Figure 2A, the Bayes factor for effect size is anecdotal.

Figure 2. Bayesian meta-analysis.

Source: Own elaboration.

Discussion

The signs and symptoms described in the SRs reviewed in the present study for pregnant women with COVID-19 are similar to those reported in other population groups;32-34 however, it was not possible to calculate a general proportion based on these studies due to their high heterogeneity. For this reason, a narrative synthesis of the proportions of clinical characteristics and laboratory and imaging findings in pregnant women with COVID-19 and their NBs was performed.

When the outcomes across the groups studied in each SR were analyzed, it was found that most of the quality of the evidence appears to be moderate or high (Tables 2 to 6). However, the results that could be generalized to the population of pregnant women are those obtained through Bayesian meta-analyses (Figure 2): stillbirth: OR=1.73 (95%CI: 1.01-2.94); preterm birth: OR=1.77 (95%CI: 1.25-2.61); maternal admission to the ICU: OR=6.75 (95%CI: 1-31.19) and fetal welfare involvement: OR=1.9 (IC95%: 1.09-3.63) for pregnant women with and without COVID-19 (although the evidence in favor of H1 is anecdotal for the latter); and myalgia: OR=0.67 (95%CI: 0.51-0.93) for pregnant and non-pregnant women with COVID-19.

Allotey et al.14 and Khan et al.15 found that pregnant women with COVID-19 show a lower proportion of symptoms such as fever, cough dyspnea, myalgia, headache, fatigue and diarrhea compared to non-pregnant women with COVID-19 (Table 2), although the Bayesian meta-analysis could only corroborate this result for myalgia. Moreover, it has been established that respiratory infections caused by SARS-CoV, MERS-CoV and SARS-CoV-2 coronaviruses can be associated with gastrointestinal symptoms such as nausea, vomiting or diarrhea,35-37 and that if transaminase levels are elevated, the certainty that SARS-CoV-2 is the causative agent increases.38-41

In order to assess a pregnant woman, the physiological changes typical of this period should be considered, including increased heart rate, increased oxygen consumption, elevation of the diaphragm due to the enlargement of the uterus (which causes some degree of respiratory distress) and relaxin effects (which can cause musculoskeletal pain, especially in the pelvic girdle),42-43 as these manifestations may not be perceived as abnormal by pregnant women with mild SARS-CoV-2 infections. At this point, it should be noted that universal screening methods for COVID-19 in high-income countries favored pregnant women, thus detecting a significant number of asymptomatic pregnant women.14,28,44,45

In the present study, leukopenia, lymphopenia, lymphocytosis and elevated CRP levels were found to be the most frequent laboratory alterations in pregnant women infected with SARS-CoV-2. This is consistent with the findings reported by Wang et al.46 in a retrospective study of 72 women with COVID-19 (30 pregnant and 42 non-pregnant) admitted to the Wuhan Central Hospital between December 8, 2019, and April 1, 2020, and by Dubey et al.47 in a systematic review and meta-analysis including 61 studies with a total of 790 women with COVID-19 and 548 NBs. In turn, Papapanou et al.45 in a SR that included 39 studies, reported that D-dimer test results were elevated in 22.30-84.60% of pregnant women; this wide range could be explained by the heterogeneity of the sample size as indicated by the authors in the abstract of their article.

On the other hand, Wei et al.29 found that the likelihood of lymphopenia was three times higher in pregnant women with severe COVID-19 disease (Table 5). Also, Xie et al.,48 in a systematic review and meta-analysis including 90 studies with a total of 16 526 patients with COVID-19, found that 46.50% of cases had lymphopenia, as well as an OR=2.78 (95%CI: 1.85-4.19) for lymphopenia in critically ill adults. Zare et al.,49 in a systematic review that included 660 studies, describe an OR=4.85 (95%CI: 3.31-7.08) for the likelihood of lymphopenia in critically ill adult patients and a very similar value in patients who did not survive COVID-19: OR=4.15 (95%CI: 2.660-6.46). Based on the preceding findings, it is clear that lymphopenia is associated with severe COVID-19 disease. However, increased leukocyte and neutrophil counts, lymphopenia, thrombocytopenia, and increased CRP levels throughout pregnancy and labor are hematologic changes unique to pregnant women that could interfere with the interpretation of laboratory tests during COVID-19.50-52 Regarding hematologic manifestations in pregnant women with COVID-19, Servante et al.,53 in a systematic review and critical analysis that included 69 articles, found that the risk of bleeding was higher in this population due to coagulopathies and thromboembolism.

In the present study it was also found that alterations in pregnant women with COVID-19 detected in both x-ray and CT scans of the thorax can occur in up to 93% of cases. However, it has not yet been established whether there is a typical radiological pattern in pregnant women since, so far, the presence of pulmonary consolidation with or without pleural effusion54,55 or ground-glass opacity has been described.12,45,56,57

The clinical conditions in pregnant women that were found to be associated with COVID-19 in the present study were maternal age >35 years, overweight, obesity, diabetes, and hypertensive disorders, both chronic and those inherent to pregnancy.14,58-60 Consequently, the presence of these clinical conditions increases the risk of acute respiratory distress syndrome, even in pregnant women with mild COVID-19.61-63 Thus, pregnant women with SARS-CoV-2 who present any of the conditions described above are more likely to be admitted to the ICU and require IMV.12,28,34,64

Concerning maternal mortality, different percentages were found in the present study; for example, according to Allotey et al.14 and Jafari et al.,28 it is 0.01% and 11.31%, respectively, although most studies consider that this outcome does not exceed 2%.30,45,58 It is noteworthy that this 2% is a relatively low percentage compared to maternal mortality caused by the MERS-CoV and SARS-CoV outbreaks, which was 35% and 10%, respectively.65-67

According to Jafari et al.,28 7.99% of the NBs were positive for SARS-CoV-2, which is notably higher than the rates reported by Woodworth et al.68 and Rodrigues et al.,69 who reported SARS-CoV-2 positivity in 2.60% and 3% of NBs, respectively. In addition, it is important to mention that other SR report an even lower rate of vertical transmission of SARS-CoV-2.45,70-73

Complications such as spontaneous abortions, intrauterine growth restriction and premature delivery have also been attributed to COVID-19;8,64,74 however, at the time of this writing, no teratogenic effects produced by SAR-CoV-2 have been identified. Indeed, studies on viral and congenital infections, such as Coyne et al.,75 have established that even in the presence of infections in the placenta or the fetus, the occurrence of a teratogenic process cannot be assured.

It was also found in the present study that up to one third of NBs were admitted to neonatology units, but the same SRs indicate that some admissions were made as a precaution or because of the mother’s positive status and not because of the severity of the disease itself, since it has been reported that the occurrence of severe disease due to COVID-19 in NBs is rare.76-79 This study also found that up to 54% of newborns were delivered by cesarean section, and that the likelihood of requiring this procedure increased twofold if the mother was symptomatic or had severe COVID-19 disease. In this regard, several authors agree that the sole fact of being positive for SARS-CoV-2 is not an indication for cesarean section, since this procedure increases the risk of morbidity in both the mother and the NB.31,45,57,77,80,81

Before COVID-19 was declared a pandemic, the percentage of preterm births in Latin America ranged from 5% to 18%.82 In the present study, the percentage of preterm births in pregnant women with COVID-19 was found to be as high as 20.98%, with an OR=1.77 (95%CI: 1.25-2.61); however, it remains to be defined whether this increase in preterm births is a consequence of the virus or is related to the high number of cesarean sections performed.72

The worldwide prevalence of perinatal asphyxia is estimated at around 20 cases per 1 000 live births (2%);83 in pregnant women with COVID-19 the proportion of NBs with this condition increases to 4%.28

The estimated neonatal mortality rate before the COVID-19 pandemic was 18 cases per 1 000 live births (1.8%),84 and it was expected to increase due to the consequences of this disease. However, several reports14,16,30,45,85 indicate that this rate is below 1%, and the percentage found in the present study ranges from 0% to 2.50%; furthermore, in another SR summary, Papapanou et al.45 found it to be 3%. These data suggest that neonatal mortality may have increased during the COVID-19 pandemic, but to corroborate this result, each region must be analyzed individually considering the socioeconomic disparities that affect this health indicator.

It should be noted that the degree of COVID-19 involvement of pregnant women is a conditioning factor with a high impact on maternal morbidity and neonatal mortality, as indicated in the preceding paragraphs. Jafari et al.28 were the only researchers to report that up to 80% of the newborns received breast milk substitutes (including mixed feeding), although they do not indicate whether this was a precautionary measure against SARS-CoV-2 transmission, or whether it was due to the degree of involvement of the mothers with COVID-19. However, the risk of transmission of the virus through breast milk has not yet been defined and appears to be low.69,86,87

The strengths of the present study were that it was conducted considering the best available evidence up to the date of writing, since it includes SRs from cohort and case-control studies. Moreover, the most reliable results were obtained by robust Bayesian analysis. On the other hand, it was limited by the fact that there are still very few SRs that include high quality primary cohort or case-control studies and most of them involve pregnant women in the second and third trimester, thus limiting the study of the teratological consequences that could be caused by the virus. Similarly, in the SR by Jafari et al.28 it was considered that there is a moderate risk of publication bias that could overestimate the severity and effects of the disease, as also recognized by the authors of the aforementioned study. Regarding the remaining SRs, it should be noted that the primary studies had different designs.

Conclusions

The most common symptoms in pregnant women with COVID-19 are cough, fever, dyspnea, and myalgia. Regarding complementary tests, the most frequent alterations are lymphopenia and lesions evidenced by x-ray or computed tomography of the thorax.

The presence of comorbidities in pregnant women with COVID-19 can lead to significant obstetric and neonatal complications, especially in symptomatic pregnant women or those with severe COVID-19 disease. It appears that SARS-CoV-2 infection in NBs is not severe and that the risk of vertical transmission is low, as no data on congenital malformations attributable to the virus were found. Given the nonspecificity of the symptoms, the physiological changes of pregnancy should be considered when assessing pregnant women.

The present review should be updated when new high-quality SRs with low risk of bias become available.

Conflicts of interest

None stated by the authors.

Funding

None stated by the authors.

Acknowledgments

None stated by the authors.

References:

1.Palacios-Cruz M, Santos E, Velázquez-Cervantes MA, León-Juárez M. COVID-19, a worldwide public health emergency. Rev Clin Esp. 2020;221(1):55-61. https://doi.org/ggqfmw.

2.Su S, Wong G, Shi W, Liu J, Lai ACK, Zhou J, et al. Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses. Trends Microbiol. 2016;24(6):490-502. https://doi.org/f8pkg7.

3.Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270-3. https://doi.org/ggj5cg.

4.Organización Panamericana de la Salud (OPS). Actualización Epidemiológica: Enfermedad por coronavirus (COVID-19) - 15 de octubre de 2020. OPS; 2020.

5.Castro P, Matos AP, Werner H, Lopes FP, Tonni G, Araujo-Júnior E. Covid-19 and Pregnancy: An Overview. Rev Bras Ginecol Obstet. 2020;42(7):420-6.

6.World Health Organization (WHO). WHO Director-General’s opening remarks at the media briefing on COVID-19 - 11 March 2020. Geneva: WHO; 2020.

7.Ahmadian E, Hosseiniyan-Khatibi SM, Razi-Soofiyani S, Abediazar S, Shoja MM, Ardalan M, et al. Covid-19 and kidney injury: Pathophysiology and molecular mechanisms. Rev Med Virol. 2021;31(3):e2176. https://doi.org/gq73ht.

8.Mehta OP, Bhandari P, Raut A, Kacimi SEO, Huy NT. Coronavirus Disease (COVID-19): Comprehensive Review of Clinical Presentation. Front Public Health. 2021;8:582932. https://doi.org/gj9r3p.

9.Letko M, Marzi A, Munster V. Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses. Nat Microbiol. 2020;5(4):562-9. https://doi.org/dpvk.

10.Sun P, Lu X, Xu C, Sun W, Pan B. Understanding of COVID-19 based on current evidence. J Med Virol. 2020;92(6):548-51. https://doi.org/ggpxc2.

11.Ng MY, Lee EYP, Yang J, Yang F, Li X, Wang H, et al. Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review. Radiol Cardiothorac Imaging. 2020;2(1):e200034. https://doi.org/ggrz6d.

12.Dashraath P, Wong JLJ, Lim MXK, Lim LM, Li S, Biswas A, et al. Coronavirus disease 2019 (COVID-19) pandemic and pregnancy. Am J Obstet Gynecol. 2020;222(6):521-31. https://doi.org/ggq8kh.

13.Narang K, Enninga EAL, Gunaratne MDSK, Ibirogba ER, Trad ATA, Elrefaei A, et al. SARS-CoV-2 Infection and COVID-19 During Pregnancy: A Multidisciplinary Review. Mayo Clin Proc. 2020;95(8):1750-65. https://doi.org/ghc5tp.

14.Allotey J, Stallings E, Bonet M, Yap M, Chatterjee S, Kew T, et al. Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis. BMJ. 2020;370:m3320 [udated 2021 Febrary 2]. https://doi.org/d9nw.

15.Khan DSA, Pirzada AN, Ali A, Salam RA, Das JK, Lassi ZS. The Differences in Clinical Presentation, Management, and Prognosis of Laboratory-Confirmed COVID-19 between Pregnant and Non-Pregnant Women: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health. 2021;18(11):5613. https://doi.org/jz46.

16.Juan J, Gil MM, Rong Z, Zhang Y, Yang H, Poon LC. Effect of coronavirus disease 2019 (COVID‐19) on maternal, perinatal and neonatal outcome: systematic review. Ultrasound Obstet Gynecol. 2020;56(1):15-27. https://doi.org/ggxz23.

17.Vasco S, Herreo A, Verdesoto C, Vasco C, Toapanta P, Paéz-Pástor MJ. Overviews of Reviews of the comorbidities, symptoms and perinatal clinical characteristics of patients with coronavirus 2019 (COVID-19). PROSPERO; 2021 [cited 2021 Mar 12]; Available from: https://bit.ly/3Jqvr3C.

18.Joanna Briggs Institute. Checklist for systematic reviews and research syntheses. Joanna Briggs Institute; 2017.

19.Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al. (editors). Cochrane handbook for systematic reviews of interventions. Version 6.1 [updated September 2020]. Cochrane; 2020.

20.Schünemann H, Brożek J, Guyatt G, Oxman A. Manual GRADE para calificar la calidad de la evidencia y la fuerza de la recomendación. 2017.

21.Kruschke JK, Liddell TM. The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychon Bull Rev. 2018;25(1):178-206. https://doi.org/gc3gmn.

22.Martinez EZ, Achar JA, Coelho-Barros EA, Molina-de Souza R. Uma introdução aos métodos bayesianos aplicados à análise de dados. Cia do eBo. Cia do eBook; 2019.

23.Sutton AJ, Abrams KR. Bayesian methods in meta-analysis and evidence synthesis. Stat Methods Med Res. 2001;10(4):277-303. https://doi.org/gc5p9r.

24.Vasco-Morales S, Vasco-Toapanta CS, Toapanta-Pinta PC. Características clínicas, radiológicas y de laboratorio en pacientes pediátricos con COVID-19: Revisión sistemática viva. Rev. Fac. Med. 2021;69(1):e90222. https://doi.org/jz5b.

25.Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210. https://doi.org/gfkdzd.

26.The R Development Core Team. R: A language and environment for statistical computing [software]. Vienna: R Foundation for Statistical Computing; 2020 [cited 2023 Mar 9]. Available from: https://bit.ly/3yp02rJ.

27.JASP T. JASP [software]. JAPS; 2020 [cited 2023 Mar 9]. Available from: https://bit.ly/3mGZHxX.

28.Jafari M, Pormohammad A, Sheikh-Neshin SA, Ghorbani S, Bose D, Alimohammadi S, et al. Clinical characteristics and outcomes of pregnant women with COVID‐19 and comparison with control patients: A systematic review and meta‐analysis. Rev Med Virol. 2021;31(5):e2208. https://doi.org/gm2hxz.

29.Wei SQ, Bilodeau-Bertrand M, Liu S, Auger N. The impact of COVID-19 on pregnancy outcomes: a systematic review and meta-analysis. CMAJ. 2021;193(16):E540-8. https://doi.org/gjjr58.

30.Huntley BJF, Mulder IA, Di Mascio D, Vintzileos WS, Vintzileos AM, Berghella V, et al. Adverse Pregnancy Outcomes Among Individuals With and Without Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): A Systematic Review and Meta-analysis. Obstet Gynecol. 2021;137(4):585-96. https://doi.org/gp5qvb.

31.Novoa RH, Quintana W, Llancarí P, Urbina-Quispe K, Guevara-Ríos E, Ventura W. Maternal clinical characteristics and perinatal outcomes among pregnant women with coronavirus disease 2019. A systematic review. Travel Med Infect Dis. 2021;39:101919. https://doi.org/gp5q26.

32.Mehta N, Chen K, Hardy E, Powrie R. Respiratory disease in pregnancy. Best Pract Res Clin Obstet Gynaecol. 2015;29(5):598-611. https://doi.org/f7k2xc.

33.Gil R, Bitar P, Deza C, Dreyse J, Florenzano M, Ibarra C, et al. Cuadro clínico del COVID-19. Rev Médica Clínica Las Condes. 2021;32(1):20-9. https://doi.org/jz7m.

34.Zambrano LD, Ellington S, Strid P, Galang RR, Oduyebo T, Tong VT, et al. Update: Characteristics of Symptomatic Women of Reproductive Age with Laboratory-Confirmed SARS-CoV-2 Infection by Pregnancy Status — United States, January 22-October 3, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(44):1641-7. https://doi.org/gjtbgk.

35.Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. J Autoimmun. 2020;109:102433. https://doi.org/ggnf4q.

36.Cheung KS, N Hung IFN, Chan PPY, Lung KC, Tso E, Liu R, et al. Gastrointestinal Manifestations of SARS-CoV-2 Infection and Virus Load in Fecal Samples From a Hong Kong Cohort: Systematic Review and Meta-analysis. Gastroenterology. 2020;159(1):81-95. https://doi.org/ggrqjr.

37.Isakbaeva ET, Khetsuriani N, Beard RS, Peck A, Erdman D, Monroe SS, et al. SARS-associated Coronavirus Transmission, United States. Emerg Infect Dis. 2004;10(2):225-31. https://doi.org/ggq97p.

38.Schmulson M, Dávalos MF, Berumen J. Alerta: los síntomas gastrointestinales podrían ser una manifestación de la COVID-19. Rev Gastroenterol México. 2020;85(3):282-7. https://doi.org/ggvc4q.

39.Cheong J, Bartell N, Peeraphatdit T, Mosli M, Al-Judaibi B. Gastrointestinal and liver manifestations of COVID-19. Saudi J Gastroenterol. 2020;26(5):226-32. https://doi.org/jz7v.

40.Patel KP, Patel PA, Vunnam RR, Hewlett AT, Jain R, Jing R, et al. Gastrointestinal, hepatobiliary, and pancreatic manifestations of COVID-19. J Clin Virol. 2020;128:104386. https://doi.org/ggvqpg.

41.Lee IC, Huo TI, Huang YH. Gastrointestinal and liver manifestations in patients with COVID-19. J Chin Med Assoc. 2020;83(6):521-3. https://doi.org/ggq7nv.

42.Cabello H, Manieu D, Ruiz M. Enfermedades respiratorias en el embarazo. Rev. Chil. Enferm. Respir. 2003;19(3):160-5. https://doi.org/dspsb4.

43.Aldabe D, Ribeiro DC, Milosavljevic S, Dawn-Bussey M. Pregnancy-related pelvic girdle pain and its relationship with relaxin levels during pregnancy: a systematic review. Eur Spine J. 2012;21(9):1769-76. https://doi.org/f39cr8.

44.Capobianco G, Saderi L, Aliberti S, Mondoni M, Piana A, Dessole F, et al. COVID-19 in pregnant women: A systematic review and meta-analysis. Eur J Obstet Gynecol Reprod Biol. 2020;252:543-58. https://doi.org/gg5kj4.

45.Papapanou M, Papaioannou M, Petta A, Routsi E, Farmaki M, Vlahos N, et al. Maternal and Neonatal Characteristics and Outcomes of COVID-19 in Pregnancy: An Overview of Systematic Reviews. Int J Environ Res Public Health. 2021;18(2):596. https://doi.org/gk68qn.

46.Wang Z, Wang Z, Xiong G. Clinical characteristics and laboratory results of pregnant women with COVID-19 in Wuhan, China. Int J Gynecol Obstet. 2020;150(3):312-7. https://doi.org/gm2hw8.

47.Dubey P, Reddy SY, Manuel S, Dwivedi AK. Maternal and neonatal characteristics and outcomes among COVID-19 infected women: An updated systematic review and meta-analysis. Eur J Obstet Gynecol Reprod Biol. 2020;252:490-501. https://doi.org/gg5xtq.

48.Xie J, Wang Q, Xu Y, Zhang T, Chen L, Zuo X, et al. Clinical characteristics, laboratory abnormalities and CT findings of COVID-19 patients and risk factors of severe disease: A systematic review and meta-analysis. Ann Palliat Med. 2021;10(2):1928-49. https://doi.org/gh28v5.

49.Zare ME, Wang Y, Nasir-Kansestani A, Almasi A, Zhang J. Procalcitonin has good accuracy for prognosis of critical condition and mortality in COVID-19: A diagnostic test accuracy systematic review and meta-analysis. Iran J Allergy Asthma Immunol. 2020;19(6):557-69. https://doi.org/gm2kdn.

50.Szpakowski M, Nowak M, Oszukowski P, Wieczorek A, Skotnicka A. [C-reactive protein in normal pregnancy]. Ginekol Pol. 1996;67(1):17-20.

51.Diba-Bagtash F, Farshbaf-Khalili A, Ghasemzadeh A, Lotz L, Fattahi A, Shahnazi M, et al. Maternal C-reactive protein and in vitro fertilization (IVF) cycles. J Assist Reprod Genet. 2020;37(11):2635-41. https://doi.org/jz7z.

52.Chandra S, Tripathi AK, Mishra S, Amzarul M, Vaish AK. Physiological changes in hematological parameters during pregnancy. Indian J Hematol Blood Transfus. 2012;28(3):144-6. https://doi.org/jz72.

53.Servante J, Swallow G, Thornton JG, Myers B, Munireddy S, Malinowski AK, et al. Haemostatic and thrombo-embolic complications in pregnant women with COVID-19: a systematic review and critical analysis. BMC Pregnancy Childbirth. 2021;21(1):108. https://doi.org/gpxwq4.

54.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(5):e7-13. https://doi.org/ggpxpz.

55.Oshay RR, Chen MYC, Fields BKK, Demirjian NL, Lee RS, Mosallaei D, et al. COVID-19 in pregnancy: a systematic review of chest CT findings and associated clinical features in 427 patients. Clin Imaging. 2021;75:75-82. https://doi.org/gn9ztq.

56.Sánchez-Oro R, Torres-Nuez J, Martínez-Sanz G. Radiological findings for diagnosis of SARS-CoV-2 pneumonia (COVID-19). Med Clínica (Barc). 2020;155(1):36-40. https://doi.org/ggtzqt.

57.Matar R, Alrahmani L, Monzer N, Debiane LG, Berbari E, Fares J, et al. Clinical Presentation and Outcomes of Pregnant Women With Coronavirus Disease 2019: A Systematic Review and Meta-analysis. Clin Infect Dis. 2021;72(3):521-33. https://doi.org/ghc5sr.

58.Karimi L, Makvandi S, Vahedian-Azimi A, Sathyapalan T, Sahebkar A. Effect of COVID-19 on Mortality of Pregnant and Postpartum Women: A Systematic Review and Meta-Analysis. J Pregnancy. 2021;2021:8870129. https://doi.org/gjjr57.

59.La Verde M, Riemma G, Torella M, Cianci S, Savoia F, Licciardi F, et al. Maternal death related to COVID‐19: A systematic review and meta‐analysis focused on maternal co‐morbidities and clinical characteristics. Int J Gynecol Obstet. 2021;154(2):212-9. https://doi.org/gpqtmm.

60.Cuñarro-López Y, Pintado-Recarte P, Cueto-Hernández I, Hernández-Martín C, Payá-Martínez MP, Muñóz-Chápuli MDM, et al. The Profile of the Obstetric Patients with SARS-CoV-2 Infection According to Country of Origin of the Publication: A Systematic Review of the Literature. J Clin Med. 2021;10(2):360. https://doi.org/gk66cw.

61.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;92(9):1556-61. https://doi.org/ggqh3d.

62.Li X, Sun X, Carmeliet P. Hallmarks of endothelial cell metabolism in health and disease. Cell Metab. 2019;30(3):414-33. https://doi.org/gg7zpc.

63.Ji HL, Zhao R, Matalon S, Matthay MA. Elevated plasmin (ogen) as a common risk factor for COVID-19 susceptibility. Physiol Rev. 2020;100(3):1065-75. https://doi.org/ggq8kw.

64.Wastnedge EAN, Reynolds RM, van Boeckel SR, Stock SJ, Denison FC, Maybin JA, et al. Pregnancy and COVID-19. Physiol Rev. 2021;101(1):303-18. https://doi.org/gjpghs.

65.Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506. https://doi.org/ggjfnn.

66.Al-Omari A, Rabaan AA, Salih S, Al-Tawfiq JA, Memish ZA. MERS coronavirus outbreak: Implications for emerging viral infections. Diagn Microbiol Infect Dis. 2019:93(3):265-85. https://doi.org/gk6vrf.

67.Shek CC, Ng PC, Fung GP, Cheng FW, Chan PK, Peiris MJ, et al. Infants born to mothers with severe acute respiratory syndrome. Pediatrics. 2003;112(4):e254. https://doi.org/fwxrnz.

68.Woodworth KR, Olsen EO, Neelam V, Lewis EL, Galang RR, Oduyebo T, et al. Birth and Infant Outcomes Following Laboratory-Confirmed SARS-CoV-2 Infection in Pregnancy — SET-NET, 16 Jurisdictions, March 29-October 14, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(44):1635-40. https://doi.org/gm2hx6.

69.Centeno‐Tablante E, Medina‐Rivera M, Finkelstein JL, Rayco‐Solon P, Garcia‐Casal MN, Rogers L, et al. Transmission of SARS‐CoV‐2 through breast milk and breastfeeding: a living systematic review. Ann N Y Acad Sci. 2021;1484(1):32-54. https://doi.org/gmzjpw.

70.Mirbeyk M, Saghazadeh A, Rezaei N. A systematic review of pregnant women with COVID-19 and their neonates. Arch Gynecol Obstet. 2021;304(1):5-38. https://doi.org/gk68kr.

71.Barcelos IDES, Penna IAA, Soligo AG, Costa ZB, Martins WP. Vertical Transmission of SARS-CoV-2: A Systematic Review. Rev Bras Ginecol Obs. 2021;43(3):207-15. https://doi.org/jz79.

72.Cai J, Tang M, Gao Y, Zhang H, Yang Y, Zhang D, et al. Cesarean Section or Vaginal Delivery to Prevent Possible Vertical Transmission From a Pregnant Mother Confirmed With COVID-19 to a Neonate: A Systematic Review. Front Med (Lausanne). 2021;8:634949. https://doi.org/gjmzz5.

73.Neef V, Buxmann H, Rabenau HF, Zacharowski K, Raimann FJ. Characterization of neonates born to mothers with SARS-CoV-2 infection: Review and meta-analysis. Pediatr Neonatol. 2021;62(1):11-20. https://doi.org/gmcrfn.

74.Liu H, Wang LL, Zhao SJ, Kwak-Kim J, Mor G, Liao AH. Why are pregnant women susceptible to COVID-19? An immunological viewpoint. J Reprod Immunol. 2020;139:103122. https://doi.org/ggqhnz.

75.Coyne CB, Lazear HM. Zika virus-reigniting the TORCH. Nat Rev Microbiol. 2016;14(11):707-15. https://doi.org/jz8b.

76.Raschetti R, Vivanti AJ, Vauloup-Fellous C, Loi B, Benachi A, De Luca D. Synthesis and systematic review of reported neonatal SARS-CoV-2 infections. Nat Commun. 2020;11(1):5164. https://doi.org/ghhdtn.

77.Di Toro F, Gjoka M, Di Lorenzo G, De Santo D, De Seta F, Maso G, et al. Impact of COVID-19 on maternal and neonatal outcomes: a systematic review and meta-analysis. Clin Microbiol Infect. 2021;27(1):36-46. https://doi.org/gjmz2g.

78.Chamseddine RS, Wahbeh F, Chervenak F, Salomon LJ, Ahmed B, Rafii A. Pregnancy and Neonatal Outcomes in SARS-CoV-2 Infection: A Systematic Review. J Pregnancy. 2020;2020:4592450. https://doi.org/jz8c.

79.Wang CL, Liu YY, Wu CH, Wang CY, Wang CH, Long CY. Impact of covid-19 on pregnancy. Int J Med Sci. 2021;18(3):763-7. https://doi.org/gjpwbm.

80.Vergara‐Merino L, Meza N, Couve‐Pérez C, Carrasco C, Ortiz‐Muñoz L, Madrid E, et al. Maternal and perinatal outcomes related to COVID‐19 and pregnancy: overview of systematic reviews. Acta Obstet Gynecol Scand. 2021;100(7):1200-18. https://doi.org/gm2hxv.

81.Han Y, Ma H, Suo M, Han F, Wang F, Ji J, et al. Clinical manifestation, outcomes in pregnant women with COVID-19 and the possibility of vertical transmission: A systematic review of the current data. J Perinat Med. 2020;48(9):912-24. https://doi.org/jz8d.

82.Organización Mundial de la Salud (OMS). Declaración de la OMS sobre tasas de cesárea. Resumen ejecutivo. Ginebra: OMS; 2015.

83.Ahearne CE, Boylan GB, Murray DM. Short and long-term prognosis in perinatal asphyxia: An update. World J Clin Pediatr. 2016;5(1):67-74. https://doi.org/ggsdps.

84.United Nations Children’s Fund (UNICEF). Levels & Trends in Child Mortality: Report 2019, Estimates developed by the United Nations Inter-agency Group for Child Mortality Estimation. New York: UNICEF; 2019.

85.Elshafeey F, Magdi R, Hindi N, Elshebiny M, Farrag N, Mahdy S, et al. A systematic scoping review of COVID-19 during pregnancy and childbirth. Int J Gynecol Obstet. 2020;150(1):47-52. https://doi.org/ggtsg6.

86.Vassilopoulou E, Feketea G, Koumbi L, Mesiari C, Berghea EC, Konstantinou GN. Breastfeeding and COVID-19: From Nutrition to Immunity. Front Immunol. 2021;12:661806. https://doi.org/gp5qrt.

87.Rodrigues C, Baía I, Domingues R, Barros H. Pregnancy and Breastfeeding During COVID-19 Pandemic: A Systematic Review of Published Pregnancy Cases. Front Public Heal. 2020;8:558144. https://doi.org/gk7pcj.

Referencias

Palacios-Cruz M, Santos E, Velázquez-Cervantes MA, León-Juárez M. COVID-19, a worldwide public health emergency. Rev Clin Esp. 2020;221(1):55-61. https://doi.org/ggqfmw.

Su S, Wong G, Shi W, Liu J, Lai ACK, Zhou J, et al. Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses. Trends Microbiol. 2016;24(6):490-502. https://doi.org/f8pkg7.

Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270-3. https://doi.org/ggj5cg.

Organización Panamericana de la Salud (OPS). Actualización Epidemiológica: Enfermedad por coronavirus (COVID-19) - 15 de octubre de 2020. OPS; 2020.

Castro P, Matos AP, Werner H, Lopes FP, Tonni G, Araujo-Júnior E. Covid-19 and Pregnancy: An Overview. Rev Bras Ginecol Obstet. 2020;42(7):420-6.

World Health Organization (WHO). WHO Director-General’s opening remarks at the media briefing on COVID-19 - 11 March 2020. Geneva: WHO; 2020.

Ahmadian E, Hosseiniyan-Khatibi SM, Razi-Soofiyani S, Abediazar S, Shoja MM, Ardalan M, et al. Covid-19 and kidney injury: Pathophysiology and molecular mechanisms. Rev Med Virol. 2021;31(3):e2176. https://doi.org/gq73ht.

Mehta OP, Bhandari P, Raut A, Kacimi SEO, Huy NT. Coronavirus Disease (COVID-19): Comprehensive Review of Clinical Presentation. Front Public Health. 2021;8:582932. https://doi.org/gj9r3p.

Letko M, Marzi A, Munster V. Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses. Nat Microbiol. 2020;5(4):562-9. https://doi.org/dpvk.

Sun P, Lu X, Xu C, Sun W, Pan B. Understanding of COVID-19 based on current evidence. J Med Virol. 2020;92(6):548-51. https://doi.org/ggpxc2.

Ng MY, Lee EYP, Yang J, Yang F, Li X, Wang H, et al. Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review. Radiol Cardiothorac Imaging. 2020;2(1):e200034. https://doi.org/ggrz6d.

Dashraath P, Wong JLJ, Lim MXK, Lim LM, Li S, Biswas A, et al. Coronavirus disease 2019 (COVID-19) pandemic and pregnancy. Am J Obstet Gynecol. 2020;222(6):521-31. https://doi.org/ggq8kh.

Narang K, Enninga EAL, Gunaratne MDSK, Ibirogba ER, Trad ATA, Elrefaei A, et al. SARS-CoV-2 Infection and COVID-19 During Pregnancy: A Multidisciplinary Review. Mayo Clin Proc. 2020;95(8):1750-65. https://doi.org/ghc5tp.

Allotey J, Stallings E, Bonet M, Yap M, Chatterjee S, Kew T, et al. Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis. BMJ. 2020;370:m3320 [udated 2021 Febrary 2]. https://doi.org/d9nw.

Khan DSA, Pirzada AN, Ali A, Salam RA, Das JK, Lassi ZS. The Differences in Clinical Presentation, Management, and Prognosis of Laboratory-Confirmed COVID-19 between Pregnant and Non-Pregnant Women: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health. 2021;18(11):5613. https://doi.org/jz46.

Juan J, Gil MM, Rong Z, Zhang Y, Yang H, Poon LC. Effect of coronavirus disease 2019 (COVID‐19) on maternal, perinatal and neonatal outcome: systematic review. Ultrasound Obstet Gynecol. 2020;56(1):15-27. https://doi.org/ggxz23.

Vasco S, Herreo A, Verdesoto C, Vasco C, Toapanta P, Paéz-Pástor MJ. Overviews of Reviews of the comorbidities, symptoms and perinatal clinical characteristics of patients with coronavirus 2019 (COVID-19). PROSPERO; 2021 [cited 2021 Mar 12]; Available from: https://bit.ly/3Jqvr3C.

Joanna Briggs Institute. Checklist for systematic reviews and research syntheses. Joanna Briggs Institute; 2017.

Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al. (editors). Cochrane handbook for systematic reviews of interventions. Version 6.1 [updated September 2020]. Cochrane; 2020.

Schünemann H, Brożek J, Guyatt G, Oxman A. Manual GRADE para calificar la calidad de la evidencia y la fuerza de la recomendación. 2017.

Kruschke JK, Liddell TM. The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychon Bull Rev. 2018;25(1):178-206. https://doi.org/gc3gmn.

Martinez EZ, Achar JA, Coelho-Barros EA, Molina-de Souza R. Uma introdução aos métodos bayesianos aplicados à análise de dados. Cia do eBo. Cia do eBook; 2019.

Sutton AJ, Abrams KR. Bayesian methods in meta-analysis and evidence synthesis. Stat Methods Med Res. 2001;10(4):277-303. https://doi.org/gc5p9r.

Vasco-Morales S, Vasco-Toapanta CS, Toapanta-Pinta PC. Características clínicas, radiológicas y de laboratorio en pacientes pediátricos con COVID-19: Revisión sistemática viva. Rev. Fac. Med. 2021;69(1):e90222. https://doi.org/jz5b.

Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210. https://doi.org/gfkdzd.

The R Development Core Team. R: A language and environment for statistical computing [software]. Vienna: R Foundation for Statistical Computing; 2020 [cited 2023 Mar 9]. Available from: https://bit.ly/3yp02rJ.

JASP T. JASP [software]. JAPS; 2020 [cited 2023 Mar 9]. Available from: https://bit.ly/3mGZHxX.

Jafari M, Pormohammad A, Sheikh-Neshin SA, Ghorbani S, Bose D, Alimohammadi S, et al. Clinical characteristics and outcomes of pregnant women with COVID‐19 and comparison with control patients: A systematic review and meta‐analysis. Rev Med Virol. 2021;31(5):e2208. https://doi.org/gm2hxz.

Wei SQ, Bilodeau-Bertrand M, Liu S, Auger N. The impact of COVID-19 on pregnancy outcomes: a systematic review and meta-analysis. CMAJ. 2021;193(16):E540-8. https://doi.org/gjjr58.

Huntley BJF, Mulder IA, Di Mascio D, Vintzileos WS, Vintzileos AM, Berghella V, et al. Adverse Pregnancy Outcomes Among Individuals With and Without Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): A Systematic Review and Meta-analysis. Obstet Gynecol. 2021;137(4):585-96. https://doi.org/gp5qvb.

Novoa RH, Quintana W, Llancarí P, Urbina-Quispe K, Guevara-Ríos E, Ventura W. Maternal clinical characteristics and perinatal outcomes among pregnant women with coronavirus disease 2019. A systematic review. Travel Med Infect Dis. 2021;39:101919. https://doi.org/gp5q26.

Mehta N, Chen K, Hardy E, Powrie R. Respiratory disease in pregnancy. Best Pract Res Clin Obstet Gynaecol. 2015;29(5):598-611. https://doi.org/f7k2xc.

Gil R, Bitar P, Deza C, Dreyse J, Florenzano M, Ibarra C, et al. Cuadro clínico del COVID-19. Rev Médica Clínica Las Condes. 2021;32(1):20-9. https://doi.org/jz7m.

Zambrano LD, Ellington S, Strid P, Galang RR, Oduyebo T, Tong VT, et al. Update: Characteristics of Symptomatic Women of Reproductive Age with Laboratory-Confirmed SARS-CoV-2 Infection by Pregnancy Status — United States, January 22-October 3, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(44):1641-7. https://doi.org/gjtbgk.

Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. J Autoimmun. 2020;109:102433. https://doi.org/ggnf4q.

Cheung KS, N Hung IFN, Chan PPY, Lung KC, Tso E, Liu R, et al. Gastrointestinal Manifestations of SARS-CoV-2 Infection and Virus Load in Fecal Samples From a Hong Kong Cohort: Systematic Review and Meta-analysis. Gastroenterology. 2020;159(1):81-95. https://doi.org/ggrqjr.

Isakbaeva ET, Khetsuriani N, Beard RS, Peck A, Erdman D, Monroe SS, et al. SARS-associated Coronavirus Transmission, United States. Emerg Infect Dis. 2004;10(2):225-31. https://doi.org/ggq97p.

Schmulson M, Dávalos MF, Berumen J. Alerta: los síntomas gastrointestinales podrían ser una manifestación de la COVID-19. Rev Gastroenterol México. 2020;85(3):282-7. https://doi.org/ggvc4q.

Cheong J, Bartell N, Peeraphatdit T, Mosli M, Al-Judaibi B. Gastrointestinal and liver manifestations of COVID-19. Saudi J Gastroenterol. 2020;26(5):226-32. https://doi.org/jz7v.

Patel KP, Patel PA, Vunnam RR, Hewlett AT, Jain R, Jing R, et al. Gastrointestinal, hepatobiliary, and pancreatic manifestations of COVID-19. J Clin Virol. 2020;128:104386. https://doi.org/ggvqpg.

Lee IC, Huo TI, Huang YH. Gastrointestinal and liver manifestations in patients with COVID-19. J Chin Med Assoc. 2020;83(6):521-3. https://doi.org/ggq7nv.

Cabello H, Manieu D, Ruiz M. Enfermedades respiratorias en el embarazo. Rev. Chil. Enferm. Respir. 2003;19(3):160-5. https://doi.org/dspsb4.

Aldabe D, Ribeiro DC, Milosavljevic S, Dawn-Bussey M. Pregnancy-related pelvic girdle pain and its relationship with relaxin levels during pregnancy: a systematic review. Eur Spine J. 2012;21(9):1769-76. https://doi.org/f39cr8.

Capobianco G, Saderi L, Aliberti S, Mondoni M, Piana A, Dessole F, et al. COVID-19 in pregnant women: A systematic review and meta-analysis. Eur J Obstet Gynecol Reprod Biol. 2020;252:543-58. https://doi.org/gg5kj4.

Papapanou M, Papaioannou M, Petta A, Routsi E, Farmaki M, Vlahos N, et al. Maternal and Neonatal Characteristics and Outcomes of COVID-19 in Pregnancy: An Overview of Systematic Reviews. Int J Environ Res Public Health. 2021;18(2):596. https://doi.org/gk68qn.

Wang Z, Wang Z, Xiong G. Clinical characteristics and laboratory results of pregnant women with COVID-19 in Wuhan, China. Int J Gynecol Obstet. 2020;150(3):312-7. https://doi.org/gm2hw8.

Dubey P, Reddy SY, Manuel S, Dwivedi AK. Maternal and neonatal characteristics and outcomes among COVID-19 infected women: An updated systematic review and meta-analysis. Eur J Obstet Gynecol Reprod Biol. 2020;252:490-501. https://doi.org/gg5xtq.

Xie J, Wang Q, Xu Y, Zhang T, Chen L, Zuo X, et al. Clinical characteristics, laboratory abnormalities and CT findings of COVID-19 patients and risk factors of severe disease: A systematic review and meta-analysis. Ann Palliat Med. 2021;10(2):1928-49. https://doi.org/gh28v5.

Zare ME, Wang Y, Nasir-Kansestani A, Almasi A, Zhang J. Procalcitonin has good accuracy for prognosis of critical condition and mortality in COVID-19: A diagnostic test accuracy systematic review and meta-analysis. Iran J Allergy Asthma Immunol. 2020;19(6):557-69. https://doi.org/gm2kdn.

Szpakowski M, Nowak M, Oszukowski P, Wieczorek A, Skotnicka A. [C-reactive protein in normal pregnancy]. Ginekol Pol. 1996;67(1):17-20.

Diba-Bagtash F, Farshbaf-Khalili A, Ghasemzadeh A, Lotz L, Fattahi A, Shahnazi M, et al. Maternal C-reactive protein and in vitro fertilization (IVF) cycles. J Assist Reprod Genet. 2020;37(11):2635-41. https://doi.org/jz7z.

Chandra S, Tripathi AK, Mishra S, Amzarul M, Vaish AK. Physiological changes in hematological parameters during pregnancy. Indian J Hematol Blood Transfus. 2012;28(3):144-6. https://doi.org/jz72.

Servante J, Swallow G, Thornton JG, Myers B, Munireddy S, Malinowski AK, et al. Haemostatic and thrombo-embolic complications in pregnant women with COVID-19: a systematic review and critical analysis. BMC Pregnancy Childbirth. 2021;21(1):108. https://doi.org/gpxwq4.

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(5):e7-13. https://doi.org/ggpxpz.

Oshay RR, Chen MYC, Fields BKK, Demirjian NL, Lee RS, Mosallaei D, et al. COVID-19 in pregnancy: a systematic review of chest CT findings and associated clinical features in 427 patients. Clin Imaging. 2021;75:75-82. https://doi.org/gn9ztq.

Sánchez-Oro R, Torres-Nuez J, Martínez-Sanz G. Radiological findings for diagnosis of SARS-CoV-2 pneumonia (COVID-19). Med Clínica (Barc). 2020;155(1):36-40. https://doi.org/ggtzqt.

Matar R, Alrahmani L, Monzer N, Debiane LG, Berbari E, Fares J, et al. Clinical Presentation and Outcomes of Pregnant Women With Coronavirus Disease 2019: A Systematic Review and Meta-analysis. Clin Infect Dis. 2021;72(3):521-33. https://doi.org/ghc5sr.

Karimi L, Makvandi S, Vahedian-Azimi A, Sathyapalan T, Sahebkar A. Effect of COVID-19 on Mortality of Pregnant and Postpartum Women: A Systematic Review and Meta-Analysis. J Pregnancy. 2021;2021:8870129. https://doi.org/gjjr57.

La Verde M, Riemma G, Torella M, Cianci S, Savoia F, Licciardi F, et al. Maternal death related to COVID‐19: A systematic review and meta‐analysis focused on maternal co‐morbidities and clinical characteristics. Int J Gynecol Obstet. 2021;154(2):212-9. https://doi.org/gpqtmm.

Cuñarro-López Y, Pintado-Recarte P, Cueto-Hernández I, Hernández-Martín C, Payá-Martínez MP, Muñóz-Chápuli MDM, et al. The Profile of the Obstetric Patients with SARS-CoV-2 Infection According to Country of Origin of the Publication: A Systematic Review of the Literature. J Clin Med. 2021;10(2):360. https://doi.org/gk66cw.

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;92(9):1556-61. https://doi.org/ggqh3d.

Li X, Sun X, Carmeliet P. Hallmarks of endothelial cell metabolism in health and disease. Cell Metab. 2019;30(3):414-33. https://doi.org/gg7zpc.

Ji HL, Zhao R, Matalon S, Matthay MA. Elevated plasmin (ogen) as a common risk factor for COVID-19 susceptibility. Physiol Rev. 2020;100(3):1065-75. https://doi.org/ggq8kw.

Wastnedge EAN, Reynolds RM, van Boeckel SR, Stock SJ, Denison FC, Maybin JA, et al. Pregnancy and COVID-19. Physiol Rev. 2021;101(1):303-18. https://doi.org/gjpghs.

Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506. https://doi.org/ggjfnn.

Al-Omari A, Rabaan AA, Salih S, Al-Tawfiq JA, Memish ZA. MERS coronavirus outbreak: Implications for emerging viral infections. Diagn Microbiol Infect Dis. 2019:93(3):265-85. https://doi.org/gk6vrf.

Shek CC, Ng PC, Fung GP, Cheng FW, Chan PK, Peiris MJ, et al. Infants born to mothers with severe acute respiratory syndrome. Pediatrics. 2003;112(4):e254. https://doi.org/fwxrnz.

Woodworth KR, Olsen EO, Neelam V, Lewis EL, Galang RR, Oduyebo T, et al. Birth and Infant Outcomes Following Laboratory-Confirmed SARS-CoV-2 Infection in Pregnancy — SET-NET, 16 Jurisdictions, March 29-October 14, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(44):1635-40. https://doi.org/gm2hx6.

Centeno‐Tablante E, Medina‐Rivera M, Finkelstein JL, Rayco‐Solon P, Garcia‐Casal MN, Rogers L, et al. Transmission of SARS‐CoV‐2 through breast milk and breastfeeding: a living systematic review. Ann N Y Acad Sci. 2021;1484(1):32-54. https://doi.org/gmzjpw.

Mirbeyk M, Saghazadeh A, Rezaei N. A systematic review of pregnant women with COVID-19 and their neonates. Arch Gynecol Obstet. 2021;304(1):5-38. https://doi.org/gk68kr.

Barcelos IDES, Penna IAA, Soligo AG, Costa ZB, Martins WP. Vertical Transmission of SARS-CoV-2: A Systematic Review. Rev Bras Ginecol Obs. 2021;43(3):207-15. https://doi.org/jz79.

Cai J, Tang M, Gao Y, Zhang H, Yang Y, Zhang D, et al. Cesarean Section or Vaginal Delivery to Prevent Possible Vertical Transmission From a Pregnant Mother Confirmed With COVID-19 to a Neonate: A Systematic Review. Front Med (Lausanne). 2021;8:634949. https://doi.org/gjmzz5.

Neef V, Buxmann H, Rabenau HF, Zacharowski K, Raimann FJ. Characterization of neonates born to mothers with SARS-CoV-2 infection: Review and meta-analysis. Pediatr Neonatol. 2021;62(1):11-20. https://doi.org/gmcrfn.

Liu H, Wang LL, Zhao SJ, Kwak-Kim J, Mor G, Liao AH. Why are pregnant women susceptible to COVID-19? An immunological viewpoint. J Reprod Immunol. 2020;139:103122. https://doi.org/ggqhnz.

Coyne CB, Lazear HM. Zika virus-reigniting the TORCH. Nat Rev Microbiol. 2016;14(11):707-15. https://doi.org/jz8b.

Raschetti R, Vivanti AJ, Vauloup-Fellous C, Loi B, Benachi A, De Luca D. Synthesis and systematic review of reported neonatal SARS-CoV-2 infections. Nat Commun. 2020;11(1):5164. https://doi.org/ghhdtn.

Di Toro F, Gjoka M, Di Lorenzo G, De Santo D, De Seta F, Maso G, et al. Impact of COVID-19 on maternal and neonatal outcomes: a systematic review and meta-analysis. Clin Microbiol Infect. 2021;27(1):36-46. https://doi.org/gjmz2g.

Chamseddine RS, Wahbeh F, Chervenak F, Salomon LJ, Ahmed B, Rafii A. Pregnancy and Neonatal Outcomes in SARS-CoV-2 Infection: A Systematic Review. J Pregnancy. 2020;2020:4592450. https://doi.org/jz8c.

Wang CL, Liu YY, Wu CH, Wang CY, Wang CH, Long CY. Impact of covid-19 on pregnancy. Int J Med Sci. 2021;18(3):763-7. https://doi.org/gjpwbm.

Vergara‐Merino L, Meza N, Couve‐Pérez C, Carrasco C, Ortiz‐Muñoz L, Madrid E, et al. Maternal and perinatal outcomes related to COVID‐19 and pregnancy: overview of systematic reviews. Acta Obstet Gynecol Scand. 2021;100(7):1200-18. https://doi.org/gm2hxv.

Han Y, Ma H, Suo M, Han F, Wang F, Ji J, et al. Clinical manifestation, outcomes in pregnant women with COVID-19 and the possibility of vertical transmission: A systematic review of the current data. J Perinat Med. 2020;48(9):912-24. https://doi.org/jz8d.

Organización Mundial de la Salud (OMS). Declaración de la OMS sobre tasas de cesárea. Resumen ejecutivo. Ginebra: OMS; 2015.

Ahearne CE, Boylan GB, Murray DM. Short and long-term prognosis in perinatal asphyxia: An update. World J Clin Pediatr. 2016;5(1):67-74. https://doi.org/ggsdps.

United Nations Children’s Fund (UNICEF). Levels & Trends in Child Mortality: Report 2019, Estimates developed by the United Nations Inter-agency Group for Child Mortality Estimation. New York: UNICEF; 2019.

Elshafeey F, Magdi R, Hindi N, Elshebiny M, Farrag N, Mahdy S, et al. A systematic scoping review of COVID-19 during pregnancy and childbirth. Int J Gynecol Obstet. 2020;150(1):47-52. https://doi.org/ggtsg6.

Vassilopoulou E, Feketea G, Koumbi L, Mesiari C, Berghea EC, Konstantinou GN. Breastfeeding and COVID-19: From Nutrition to Immunity. Front Immunol. 2021;12:661806. https://doi.org/gp5qrt.

Rodrigues C, Baía I, Domingues R, Barros H. Pregnancy and Breastfeeding During COVID-19 Pandemic: A Systematic Review of Published Pregnancy Cases. Front Public Heal. 2020;8:558144. https://doi.org/gk7pcj.

Cómo citar

APA

Toapanta-Pinta, P. C., Vasco-Toapanta, C. S., Herrera-Tasiguano, A. E., Verdesoto-Jácome, C. A., Páez-Pástor, M. J. y Vasco-Morales, S. (2023). COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews. Revista de la Facultad de Medicina, 71(1), e97588. https://doi.org/10.15446/revfacmed.v71n1.97588

ACM

[1]
Toapanta-Pinta, P.C., Vasco-Toapanta, C.S., Herrera-Tasiguano, A.E., Verdesoto-Jácome, C.A., Páez-Pástor, M.J. y Vasco-Morales, S. 2023. COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews. Revista de la Facultad de Medicina. 71, 1 (ene. 2023), e97588. DOI:https://doi.org/10.15446/revfacmed.v71n1.97588.

ACS

(1)
Toapanta-Pinta, P. C.; Vasco-Toapanta, C. S.; Herrera-Tasiguano, A. E.; Verdesoto-Jácome, C. A.; Páez-Pástor, M. J.; Vasco-Morales, S. COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews. Rev. Fac. Med. 2023, 71, e97588.

ABNT

TOAPANTA-PINTA, P. C.; VASCO-TOAPANTA, C. S.; HERRERA-TASIGUANO, A. E.; VERDESOTO-JÁCOME, C. A.; PÁEZ-PÁSTOR, M. J.; VASCO-MORALES, S. COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews. Revista de la Facultad de Medicina, [S. l.], v. 71, n. 1, p. e97588, 2023. DOI: 10.15446/revfacmed.v71n1.97588. Disponível em: https://revistas.unal.edu.co/index.php/revfacmed/article/view/97588. Acesso em: 12 oct. 2024.

Chicago

Toapanta-Pinta, Paola Cristina, Cristhian Santiago Vasco-Toapanta, Alonso Ernesto Herrera-Tasiguano, Catalina Angélica Verdesoto-Jácome, María José Páez-Pástor, y Santiago Vasco-Morales. 2023. «COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews». Revista De La Facultad De Medicina 71 (1):e97588. https://doi.org/10.15446/revfacmed.v71n1.97588.

Harvard

Toapanta-Pinta, P. C., Vasco-Toapanta, C. S., Herrera-Tasiguano, A. E., Verdesoto-Jácome, C. A., Páez-Pástor, M. J. y Vasco-Morales, S. (2023) «COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews», Revista de la Facultad de Medicina, 71(1), p. e97588. doi: 10.15446/revfacmed.v71n1.97588.

IEEE

[1]
P. C. Toapanta-Pinta, C. S. Vasco-Toapanta, A. E. Herrera-Tasiguano, C. A. Verdesoto-Jácome, M. J. Páez-Pástor, y S. Vasco-Morales, «COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews», Rev. Fac. Med., vol. 71, n.º 1, p. e97588, ene. 2023.

MLA

Toapanta-Pinta, P. C., C. S. Vasco-Toapanta, A. E. Herrera-Tasiguano, C. A. Verdesoto-Jácome, M. J. Páez-Pástor, y S. Vasco-Morales. «COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews». Revista de la Facultad de Medicina, vol. 71, n.º 1, enero de 2023, p. e97588, doi:10.15446/revfacmed.v71n1.97588.

Turabian

Toapanta-Pinta, Paola Cristina, Cristhian Santiago Vasco-Toapanta, Alonso Ernesto Herrera-Tasiguano, Catalina Angélica Verdesoto-Jácome, María José Páez-Pástor, y Santiago Vasco-Morales. «COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews». Revista de la Facultad de Medicina 71, no. 1 (enero 1, 2023): e97588. Accedido octubre 12, 2024. https://revistas.unal.edu.co/index.php/revfacmed/article/view/97588.

Vancouver

1.
Toapanta-Pinta PC, Vasco-Toapanta CS, Herrera-Tasiguano AE, Verdesoto-Jácome CA, Páez-Pástor MJ, Vasco-Morales S. COVID-19 in pregnant women and neonates: Clinical characteristics and laboratory and imaging findings. An overview of systematic reviews. Rev. Fac. Med. [Internet]. 1 de enero de 2023 [citado 12 de octubre de 2024];71(1):e97588. Disponible en: https://revistas.unal.edu.co/index.php/revfacmed/article/view/97588

Descargar cita

CrossRef Cited-by

CrossRef citations1

1. Paola Toapanta-Pinta, Veronica Oliva-Velasco, Bianca Gavilanes-Vallejo, Daniela Caicedo-Gallardo , Santiago Vasco Morales. (2024). From Thesis to Scientific Articles: Publication of Neonatal Research in Ecuador. Revista de Gestão Social e Ambiental, 18(10), p.e09224. https://doi.org/10.24857/rgsa.v18n10-185.

Dimensions

PlumX

Visitas a la página del resumen del artículo

2234

Descargas

Los datos de descargas todavía no están disponibles.