Next Article in Journal
A Social Network Analysis of Tweets Related to Mandatory COVID-19 Vaccination in Poland
Previous Article in Journal
High Prevalence of Non-Vaccinated Oncogenic Human Papillomavirus Genotypes in High-Grade Squamous Intraepithelial Lesions of the Cervix: Thought-Provoking Results of a Detailed HPV Genotype Analysis
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Vaccines
Volume 10
Issue 5
10.3390/vaccines10050749
vaccines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

COVID-19 Vaccines Confer Protection in Hospitalized Pregnant and Postpartum Women with Severe COVID-19: A Retrospective Cohort Study

by
Cristiane de Freitas Paganoti
1,*,
Rafaela Alkmin da Costa
1,
Aris T. Papageorghiou
2,
Fabrício da Silva Costa
3,
Silvana Maria Quintana
4,
Luciana Graziela de Godoi
5,
Nátaly Adriana Jiménez Monroy
5,
Agatha Sacramento Rodrigues
5 and
Rossana Pulcineli Vieira Francisco
6
1
Divisão de Clinica Obstetrica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, 255 Dr Eneas Carvalho de Aguiar Avenue, 10th floor, São Paulo 05403-000, Brazil
2
Nuffield Department of Women’s and Reproductive Health, University of Oxford, Women’s Centre, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
3
Maternal Fetal Medicine Unit, Gold Coast University Hospital, School of Medicine, Griffith University, Gold Coast 4222, Australia
4
Gynecology and Obstetric Department, Ribeirão Preto Medical School, University of São Paulo, 3900 Bandeirantes Avenue, Ribeirão Preto, São Paulo 14049-900, Brazil
5
Departamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil
6
Disciplina de Obstetrícia, Departamento de Obstetrícia e Ginecologia, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, São Paulo 05508-070, Brazil
*
Author to whom correspondence should be addressed.
Vaccines 2022, 10(5), 749; https://doi.org/10.3390/vaccines10050749
Submission received: 6 April 2022 / Revised: 27 April 2022 / Accepted: 9 May 2022 / Published: 10 May 2022
Browse Figure
Versions Notes

Abstract

:
The coronavirus disease 2019 (COVID-19) pandemic has had deleterious effects among the obstetric population. Pregnant and postpartum women constitute a high-risk group for severe COVID-19. Vaccination reduces the risk of infection, but it is not known whether women who become infected despite vaccination have a milder course of disease than those who had not been vaccinated. This retrospective cohort study evaluated whether vaccination reduces the severity of COVID-19 infection, as measured by severe maternal morbidity and mortality among hospitalized pregnant and postpartum individuals. A total of 2284 pregnant and postpartum women hospitalized with severe COVID-19 were included. Those who did and who did not receive COVID-19 vaccination were compared. The rates of intensive care unit admission, intubation, and mortality were significantly lower among subjects in the vaccinated group (p < 0.001, p < 0.001 and p < 0.001, respectively). The numbers of patients who needed to be vaccinated to avoid one case of intensive care unit admission, intubation, or death due to COVID-19 were 7, 7, and 9, respectively. The COVID-19 vaccine offers protective effects against intensive care unit admission, intubation, and death in hospitalized pregnant and postpartum women with severe SARS-CoV-2-induced SARS.

1. Introduction

The coronavirus disease 2019 (COVID-19) pandemic has had deleterious effects among the obstetric population [1,2,3,4,5], especially in low- and middle-income countries. In Brazil, a total of 1511 maternal deaths were documented in 2021, corresponding to a 329% increase from figures in 2020 [6,7].
The first randomized clinical trials (RCTs) examining the effectiveness and safety of COVID-19 vaccines did not include pregnant and postpartum women [8,9,10]. This policy was widely discussed [8,11,12], but regardless of reasons, the main findings are that, at least in the early stages of vaccine dissemination, there was little information to guide prospective parents on the effects and safety of vaccines in pregnancy. Thus, although they are considered to be a high-risk group for severe COVID-19, such concerns resulted in low vaccine uptake amongst pregnant women. This continued even after international and national guidance changed to include pregnant individuals in vaccination programs [9,13].
Considering the serious maternal and perinatal morbidity, and secondary mortality to COVID-19, most countries started vaccinating pregnant and postpartum women [14,15,16]. This decision was primarily based on published evidence of the first observational studies and case series of individuals who became pregnant after receiving the vaccine or received it during pregnancy [10,17,18,19,20,21]. In addition to such direct evidence, safety data on the administration of inactivated-virus vaccines during pregnancy (such as H1N1 and Tdap) [22,23] have allowed for the vaccination of pregnant and postpartum women with inactivated virus and messenger RNA vaccines.
Vaccination in pregnancy is clearly a key preventive measure for a decrease in the likelihood of the disease [8,24,25]. In this study, we evaluate whether vaccination also reduces the severity of COVID-19 infection, as measured by maternal adverse outcomes including mortality among hospitalized pregnant and postpartum individuals.

2. Materials and Methods

This is a retrospective cohort study (STROBE checklist—supplemental material) based on data collected by the Influenza Epidemiological Surveillance Information System (Sistema de Informação de Vigilância Epidemiológica da Gripe; SIVEP-Gripe). The SIVEP-Gripe database (available at https://opendatasus.saude.gov.br/, accessed on 5 April 2022), records demographic, clinical, and epidemiological data, and laboratory and etiological results. There is also information on hospital admission and disease progression (recovery or death).
This nationwide surveillance database was created in 2000 to monitor severe acute respiratory infections and data on viral circulation and respiratory infections in Brazil. Individuals presenting with fever, cough, and/or sore throat in sentinel monitoring units were documented in the database. In view of the H1N1 pandemic in 2009, the rigorous surveillance of individuals with severe acute respiratory syndrome (SARS), defined as the presence of fever, cough, and dyspnea, was adopted. This includes compulsory notification of all SARS cases. Since 2010, only hospitalized cases of SARS in both public and private hospitals, and cases of deaths caused by SARS, irrespective of hospitalization status, have been reported.
As viral surveillance for public health purposes has dynamic characteristics, there are frequent updates in notification guidelines. Since the start of the COVID-19 pandemic, cases of SARS with the presence of at least two of the following symptoms have been reported: fever, chills, sore throat, headache, cough, runny nose, and olfactory or taste disorders, plus dyspnea or chest pressure or saturation less than 95% or blue coloration of lips or face.
In this study, we evaluate clinical and epidemiological features, and clinical outcomes of pregnant and postpartum women hospitalized with severe SARS-CoV-2, comparing those who received COVID-19 vaccination with those who did not receive it. Primary outcomes were admission to an intensive care unit, the need for invasive ventilation, and death. Data were obtained from women enrolled in the study between 2 May 2021 and 27 November 2021.
Patients were selected according to the following inclusion criteria: pregnant and postpartum women of childbearing age (10–55 years old), COVID-19 disease confirmed by positive reverse transcription–polymerase chain reaction (RT-PCR) SARS-CoV-2 or antigen, the exclusion of influenza infection by negative RT-PCR or antigen for influenza, availability of the outcome (recovery or death), and the reliability of vaccination status. Since this was a retrospective study, no exclusion criteria were determined.
Considering the retrospective nature of the study and the anonymity of SIVEP-GRIPE data, no prior informed consent or approval by the institutional ethics committee was necessary, which is in agreement with the relevant Brazilian ethics in terms of research resolution [26].

Statistical Analyses

Enrolled patients were grouped according to their COVID-19 vaccination status, namely, vaccinated or unvaccinated. Only women with two registered vaccine doses or no vaccine doses were included in the analysis.
Categorical variables are presented as the absolute and relative frequencies, and compared using the chi-squared test or Fisher’s exact test, as applicable. The odds ratio (OR) and 95% confidence interval (CI 95%) were considered to be measures of association. Continuous variables are presented as the mean and standard deviation (SD) and compared using the Student’s t-test. A p-value of <0.05 was considered to be statistically significant.
Propensity score matching (PSM) was used to estimate and balance the groups in relation to confounding variables. The propensity score was estimated using logistic regression, and 1:1 matching was performed by considering nearest-neighbor matching [27]. The average treatment effect (ATT) was estimated for the vaccinated group effect, and the control variables considered were age and preexisting cardiac disease. PSM results and standardized difference after matching are shown in the supplemental material.
All analyses were performed using R (R Foundation for Statistical Computing Platform, version 4.0.3) [28], and PSM was carried out with the R Matchlt package [29].
Only valid responses for each variable were considered, with the percentage of missing data depending on the variable in question. The valid number of cases for each variable was stated in the tables. Missing data received no treatment and were not considered for analysis.
The number needed to treat (NNT) was calculated, and cost values for the COVID-19 vaccine [30] and intensive care unit (ICU) daily rate [31] under the Brazilian health system were estimated.

3. Results

3.1. Study Population

A total of 2284 patients were analyzed (Figure 1) and divided into two groups according to their COVID-19 vaccination status: unvaccinated (n = 2084; 91.2%) and vaccinated (n = 200; 8.8%).

3.2. Baseline Characteristics of Enrolled Subjects

The sociodemographic features of the subjects are presented in Table 1. Women in the unvaccinated group were younger than those in the vaccinated group (p = 0.003); however, the effect was small (d-Cohen coefficient = −0.24 (95% CI −0.39; −0.10)). There were no statistical differences between groups in terms of ethnicity or education level (p = 0.116).
Cardiac disease and immunosuppression were the only comorbidities showing statistical difference between groups; as expected, these were less frequent among women in the unvaccinated group compared to those in the vaccinated group (12.4% vs. 23.7%; p = 0.004 and 1.4% vs. 5.6%; p = 0.015, respectively). Both conditions increased the chance of having been vaccinated by 2.20 (95% CI 1.31–3.70) and 4.33 (95% CI 1.47–12.77) times, respectively.

3.3. Clinical Manifestations of COVID-19

Table 2 presents the characteristics of COVID-19 symptoms according to vaccination status. Fever was less frequent among vaccinated women, with a significant difference between groups (46.6% vs. 58.9%, p = 0.005).
Women in the vaccinated group also presented lower odds of having any respiratory symptom compared to those in the unvaccinated group (OR 0.51, 95% CI 0.36–0.71). Likewise, COVID-19 vaccination was associated with a lower rate of dyspnea (OR 0.53; 95% CI 0.39–0.73; p < 0.001), respiratory discomfort (OR 0.62; 95% CI 0.46–0.86; p = 0.004) and desaturation (OR 0.53; 95% CI 0.39–0.73; p < 0.001).

3.4. COVID-19 Adverse Outcomes

Table 3 presents the main COVID-19-related outcomes according to the vaccination status. Intensive care unit (ICU) admission rates were significantly lower among women in the vaccinated group than those in the unvaccinated group (23.5% vs. 37.4%; p < 0.001; OR 0.52; 95% CI 0.36–0.73). Although there was no difference regarding the length of time in the ICU between groups, there was a tendency for this to be shorter among vaccinated women (9.38 ± 9.30 and 13.09 ± 12.22 days; p = 0.090).
Rates of intubation were lower in the vaccinated group (4.8% vs. 18.8%; p < 0.001; OR 0.22; 95% CI. 11–0.43). The rates of maternal mortality were lower in vaccinated women (3.0% vs. 14.1%; p < 0.001; OR 0.188 (95% CI 0.083–0.428)) compared to unvaccinated women.
Lastly, PSM was conducted to account for confounding factors to verify whether the effect on outcome could be attributed to the COVID-19 vaccine (Table 3). The three main outcomes (ICU admission, intubation, and death) remained statistically less frequent in the vaccinated group than those in the unvaccinated group after balancing the covariates using this analysis.
NNTs for ICU admission, intubation, and death were 7, 7, and 9, respectively. Under the Brazilian health system, the daily ICU cost is BRL 1600 (USD 283.70), meaning a cost of over BRL 20,864 (USD 3699.30) for the average 13-day stay. In contrast, a 2-dose regiment of the vaccine costs BRL 116.40 (USD 20.82).

4. Discussion

In hospitalized pregnant and postpartum women with severe COVID-19, those who had received two doses of a COVID-19 vaccine had a 46% reduction in the odds of ICU admission, an 81% reduction in the odds of invasive ventilatory support, and an 80% reduction in the odds of death compared to those who did not receive any COVID-19 vaccination.
To the best of our knowledge, this is the first study to examine the association between COVID-19 vaccines and maternal mortality by SARS-CoV-2-induced SARS in women with severe disease. These results should encourage and reinforce the importance of COVID-19 vaccination in the obstetric population.
Despite these promising results, COVID-19 vaccination rates in pregnant and postpartum women remain low [6,32]. In Brazil, by 29 March 2022, 899,043 (40.3%) pregnant and postpartum women were fully vaccinated [6]. Reasons for this low uptake include maternal fear of exposing the fetus to vaccines, a desire to wait for more information regarding the safety and effectiveness of vaccines in pregnancy, and concerns related to the rapid development of the vaccines [10,33]. However, vaccine hesitancy is a nuanced phenomenon also affected by, for example, religious reasons, financial resources, and educational aspects [8,10,33].
Excluding pregnant and postpartum women (a high-risk group for respiratory infections) as a priority group in a vaccine RCT means restricting their opportunity to receive adequate care during a pandemic. Consequently, wrong decisions can occur due to a lack of robust evidence [8,10,11,32,33]. Pregnant and postpartum women should have the opportunity to enroll in RCTs, in agreement with the ethical principles of research, the characteristics of vaccines, and the context in which the RCT is conducted [10,12,33].
Observational studies and surveillance data concerning vaccination during pregnancy are reassuring. Considering that COVID-19 vaccines are novel, and the majority of clinical trials excluded pregnant and postpartum women, programs that monitor the safety, effectiveness, and side effects of COVID-19 vaccination, and adverse pregnancy outcomes, are extremely important [34,35]. This information could guide obstetricians to recommend vaccination to pregnant women and to improve its uptake, thereby overcoming vaccine hesitance [34]. In Brazil, it is compulsory that every adverse vaccine event is reported to the Ministry of Health [36].
Most of the subjects received the Pfizer/BioNTech or Moderna vaccines, and available data do not demonstrate adverse outcomes or side effects of vaccination during pregnancy [20,22,37,38,39,40,41]. Shimakaburo et al. evaluated the outcomes of 827 completed pregnancies. They reported that the frequencies of pregnancy loss, preterm birth, and small size for gestational age did not differ from those before the beginning of the pandemic [17]. However, none of these studies reported the protective effect of vaccines on the severity of clinical manifestations and mortality rate of women with severe COVID-19, as demonstrated in the present study.
One of the limitations of this study is that those who chose to be vaccinated may be more likely to have healthier behaviors, such as wearing a mask and maintaining social distance, which could confer additional protection in the vaccinated group. However, we enrolled women with established severe COVID-19 disease. In our study, women with more risk factors were also more likely to be vaccinated. Despite their otherwise higher risk status, they were less likely to require ICU admission or ventilation, or to die.
As demonstrated in the present study, there was a higher frequency of individuals with a lower educational level among the unvaccinated group, and those with easier access to health care programs may be more likely to avoid worse outcomes. Previous studies also reported some of these social features [32].
Regarding clinical manifestations of SARS-CoV-2 infection, our study found that the more severe symptoms (dyspnea, respiratory discomfort, and desaturation) were more prevalent among women in the unvaccinated group.
PSM analysis confirmed these findings in light of confounders. In addition, the NNT evaluation showed that only seven hospitalized pregnant women needed to be vaccinated to avoid one ICU admission. This finding could have a possible economic impact for the health system, especially for those living in low and middle-income countries.
This is an observational and retrospective study based on a standard case report form, and it depends on the adequacy and completeness of notification. We had to exclude all subjects without information regarding vaccination status (28.9%) and those without a second-dose date (11.7%). Only valid cases of the variables involved in analyses were considered. However, statistical analyses were also performed after the imputation of missing data; the results were similar, and the inference did not change (Supplemental Materials). Subjects for analyses were rigorously selected according to the availability of completed data, particularly confirmation of acute COVID-19 infection, the exclusion of H1N1 coinfection, and the date of the second dose of COVID-19 vaccination, thus ensuring that vaccination preceded clinical presentation.
The SIVEP-Gripe database only gathers information for severe acute respiratory infections. Hence, we do not know what the protective effect of vaccination is in pregnant individuals with mild symptoms.

5. Conclusions

The COVID-19 vaccine offers a protective effect against ICU admission, intubation, and death in hospitalized pregnant and postpartum women with severe SARS-CoV-2-induced SARS.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/vaccines10050749/s1, Text S1: Documentation of the article ‘COVID-19 vaccines confer protection in hospitalized pregnant and postpartum women with severe COVID-19’.

Author Contributions

C.d.F.P.: conceptualization, methodology, validation, investigation, writing—original draft, writing—review and editing, visualization, project administration. R.A.d.C.: conceptualization, methodology, validation, investigation, writing—review and editing, visualization, supervision, project administration. A.T.P.: writing—review and editing, visualization, supervision. F.d.S.C.: writing—review and editing, visualization, supervision. S.M.Q.: writing—review and editing, visualization, supervision. L.G.d.G.: software, formal analysis, investigation, resources, writing—review and editing, visualization, supervision. N.A.J.M.: software, formal analysis, investigation, resources, writing—review and editing, visualization, supervision. A.S.R.: conceptualization, methodology, software, validation, formal analysis, investigation, resources, data curation, writing—review and editing, visualization, supervision, project administration, funding acquisition. R.P.V.F.: conceptualization, methodology, validation, investigation, writing—review and editing, visualization, supervision, project administration, funding acquisition. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported in whole or in part by the Bill and Melinda Gates Foundation (INV-027961). Under the grant conditions of the foundation, a creative commons attribution 4.0 generic license was assigned to the author’s accepted manuscript version that might arise from this submission. This work was also funded by CNPq (award number: 445881/2020-8) and FAPES (award number: 007/2021). Aris T. Papageorghiou is supported by the Oxford Partnership Comprehensive Biomedical Research Centre with funding from the NIHR Biomedical Research Centre (BRC) funding scheme. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Institutional Review Board Statement

Ethical review and approval were waived for this study due to its retrospective nature, and the anonymity of Brazilian open database SIVEP-GRIPE [26].

Informed Consent Statement

Patient consent was waived due to retrospective nature of the study and the anonymity of Brazilian open database SIVEP-GRIPE [26].

Data Availability Statement

Codes used to support the findings of this study and supplemental material are available in the GitHub repository at https://github.com/observatorioobstetrico/sup_mat_COVID-19-vaccines-confer-protection-in-hospitalized-pregnant-amd-postpartum-women-with-sever accessed on 5 April 2022. Datasets are available at https://www.kaggle.com/agatharodrigues/covid19-vaccine-maternal-population accessed on 5 April 2022.

Conflicts of Interest

Cristiane de Freitas Paganoti, Rafaela Alkmin da Costa, Agatha Sacramento Rodrigues, Silvana Maria Quintana, Fabrício da Silva Costa, Luciana Graziela de Godoi, Nátaly Adriana Jiménez Monroy, and Rossana Pulcineli Vieira declare no competing interests. Aris T. Papageorghiou is supported by the Oxford Partnership Comprehensive Biomedical Research Centre with funding from the NIHR Biomedical Research Centre (BRC) funding scheme.

References

  1. Allotey, J.; Stallings, E.; Bonet, M.; Yap, M.; Chatterjee, S.; Kew, T.; Debenham, L.; Llavall, A.C.; Dixit, A.; Zhou, D.; 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. [Google Scholar] [CrossRef] [PubMed]
  2. Villar, J.; Ariff, S.; Gunier, R.B.; Thiruvengadam, R.; Rauch, S.; Kholin, A.; Roggero, P.; Prefumo, F.; Do Vale, M.S.; Cardona-Perez, J.A.; et al. Maternal and neonatal morbidity and mortality among pregnant women with and without COVID-19 infection—The INTERCOVID Multinational Cohort Study. JAMA Pediatr. 2021, 175, 817–826. [Google Scholar] [CrossRef] [PubMed]
  3. Roberton, T.; Carter, E.D.; Chou, V.B.; Stegmuller, A.R.; Jackson, B.D.; Tam, Y.; Sawadogo-Lewis, T.; Walker, N. Early estimates of the indirect effects of the COVID-19 pandemic on maternal and child mortality in low-income and middle-income countries: A modelling study. Lancet Glob. Health 2020, 8, e901–e908. [Google Scholar] [CrossRef]
  4. Jamieson, D.J.; Rasmussen, S.A. An update on COVID-19 and pregnancy. Am. J. Obstet. Gynecol. 2022, 226, 177–186. [Google Scholar] [CrossRef]
  5. Lokken, E.M.; Taylor, G.G.; Huebner, E.M.; Vanderhoeven, J.; Hendrickson, S.; Coler, B.; Sheng, J.S.; Walker, C.L.; McCartney, S.A.; Kretzer, N.M.; et al. Higher severe acute respiratory syndrome coronavirus 2 infection rate in pregnant patients. Am. J. Obstet. Gynecol. 2021, 225, 75.e1–75.e16. [Google Scholar] [CrossRef]
  6. Rodrigues, A.; Lacerda, L.; Francisco, R.P. Brazilian Obstetric Observatory. arXiv 2021, arXiv:2105.06534. Available online: https://observatorioobstetrico.shinyapps.io/covid_gesta_puerp_br/ (accessed on 8 February 2022).
  7. Francisco, R.P.V.; Lacerda, L.; Rodrigues, A.S. Obstetric Observatory BRAZIL—COVID-19: 1031 maternal deaths because of COVID-19 and the unequal access to health care service. Clinics 2021, 76, e3120. [Google Scholar] [CrossRef]
  8. Beigi, R.H.; Krubiner, C.; Jamieson, D.J.; Lyerly, A.D.; Hughes, B.; Riley, L.; Faden, R.; Karron, R. The need for inclusion of pregnant women in COVID-19 vaccine trials. Vaccine 2021, 39, 868–870. [Google Scholar] [CrossRef]
  9. Shook, L.L.; Fallah, P.N.; Silberman, J.N.; Edlow, A.G. COVID-19 Vaccination in Pregnancy and Lactation: Current Research and Gaps in Understanding. Front. Cell Infect. Microbiol. 2021, 11, 735394. [Google Scholar] [CrossRef]
  10. Garg, I.; Shekhar, R.; Sheikh, A.B.; Pal, S. COVID-19 vaccine in pregnant and lactating women: A review of existing evidence and practice guidelines. Infect. Dis. Rep. 2021, 13, 685–699. [Google Scholar] [CrossRef]
  11. Krubiner, C.B.; Faden, R.R.; Karron, R.A.; Little, M.O.; Lyerly, A.D.; Abramson, J.S.; Beigi, R.H.; Cravioto, A.R.; Durbin, A.P.; Gellin, B.G.; et al. Pregnant women & vaccines against emerging epidemic threats: Ethics guidance for preparedness, research, and response. Vaccine 2021, 39, 85–120. [Google Scholar] [PubMed]
  12. Beeler, J.A.; Lambach, P.; Fulton, T.R.; Narayanan, D.; Ortiz, J.R.; Omer, S.B. A systematic review of ethical issues in vaccine studies involving pregnant women. Hum. Vaccines Immunother. 2016, 12, 1952–1959. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Crane, M.A.; Jaffe, E.; Beigi, R.H.; Karron, R.A.; Krubiner, C.B.; Wonodi, C.B.; Faden, R.R. Priorization of pregnant individuals in state plans for coronavirus disease 2019 vaccination. Am. J. Obstet. Gynecol. 2021, 225, 95–99. [Google Scholar] [CrossRef]
  14. Ministério da Saúde. Secretaria Extraordinária de Enfrentamento à COVID-19. Gabinete. 6 July 2021. NOTA TÉCNICA No 2/2021-SECOVID/GAB/SECOVID/MS. Available online: https://portaldeboaspraticas.iff.fiocruz.br/wp-content/uploads/2021/09/NotaTecnica_vacinacaocovid-19gestantespuerperas.pdf (accessed on 1 October 2021).
  15. International Federation Gynecology and Obstetrics. COVID-19 Vaccination for Pregnant and Breastfeeding Women. 2021. Available online: https://www.figo.org/covid-19-vaccination-pregnant-and-breastfeeding-women (accessed on 16 December 2021).
  16. Royal College of Obstetricians and Gynaecologists. Updated Advice on COVID-19 Vaccination in Pregnancy and Women Who Are Breastfeeding. 2020, pp. 1–45. Available online: https://www.rcm.org.uk/news-views/news/2020/december/updated-advice-on-covid-19-vaccination-in-pregnancy-and-women-who-are-breastfeeding/ (accessed on 16 December 2021).
  17. Shimabukuro, T.T.; Kim, S.Y.; Myers, T.R.; Moro, P.L.; Oduyebo, T.; Panagiotakopoulos, L.; Marquez, P.L.; Olson, C.K.; Liu, R.; Chang, K.T.; et al. Preliminary Findings of mRNA COVID-19 Vaccine Safety in Pregnant Persons. N. Engl. J. Med. 2021, 384, 2273–2282. [Google Scholar] [CrossRef] [PubMed]
  18. Male, V. Are COVID-19 vaccines safe in pregnancy? Nat. Rev. Immunol. 2021, 21, 200–201. [Google Scholar] [CrossRef]
  19. Dagan, N.; Barda, N.; Biron-Shental, T.; Makov-Assif, M.; Key, C.; Kohane, I.S.; Hernán, M.A.; Lipsitch, M.; Hernandez-Diaz, S.; Reis, B.Y.; et al. Effectiveness of the BNT162b2 mRNA COVID-19 vaccine in pregnancy. Nat. Med. 2021, 27, 1693–1695. [Google Scholar] [CrossRef]
  20. Gray, K.J.; Bordt, E.A.; Atyeo, C.; Deriso, E.; Akinwunmi, B.; Young, N.; Baez, A.M.; Shook, L.L.; Cvrk, D.; James, K.; et al. Coronavirus disease 2019 vaccine response in pregnant and lactating women: A cohort study. Am. J. Obstet. Gynecol. 2021, 225, 303.e1–303.e17. [Google Scholar] [CrossRef]
  21. Trostle, M.E.; Limaye, M.A.; Avtushka, V.; Lighter, J.L.; Penfield, C.A.; Roman, A.S. COVID-19 vaccination in pregnancy: Early experience from a single institution. Am. J. Obstet. Gynecol. MFM 2021, 3, 100464. [Google Scholar] [CrossRef]
  22. Mackin, D.W.; Walker, S.P. The historical aspects of vaccination in pregnancy. Best Pract. Res. Clin. Obstet. Gynaecol. 2021, 76, 13–22. [Google Scholar] [CrossRef]
  23. Sebghati, M.; Khalil, A. Uptake of vaccination in pregnancy. Best Pract. Res. Clin. Obstet. Gynaecol. 2021, 76, 53–65. [Google Scholar] [CrossRef]
  24. Stock, S.J.; Carruthers, J.; Calvert, C.; Denny, C.; Donaghy, J.; Goulding, A.; Hopcroft, L.E.; Hopkins, L.; McLaughlin, T.; Pan, J.; et al. SARS-CoV-2 infection and COVID-19 vaccination rates in pregnant women in Scotland. Nat. Med. 2022, 28, 504–512. [Google Scholar] [CrossRef] [PubMed]
  25. Engjom, H.; van den Akker, T.; Aabakke, A.; Ayras, O.; Bloemenkamp, K.; Donati, S.; Cereda, D.; Overtoom, E.; Knight, M. Severe COVID-19 in pregnancy is almost exclusively limited to unvaccinated women—Time for policies to change. Lancet Reg. Health-Eur. 2022, 13, 100313. [Google Scholar] [CrossRef]
  26. Brasil Ministério da Saúde; Conselho Nacional de Saúde. Resolução no 510, de 7 de abril de 2016. Diário Oficial da União. Brasília, Brasil. 24 May 2016. Available online: https://www.in.gov.br/materia/-%0A/asset_publisher/Kujrw0TZC2Mb/content/id/22917581 (accessed on 16 December 2021).
  27. Austin, P.C. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar. Behav. Res. 2011, 46, 399–424. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. R Core Team. R: A Language and Environment for Statistical Computing; Version 4.0.3; R Foundation for 353 Statistical Computing: Vienna, Austria, 2020. [Google Scholar]
  29. Ho, D.E.; Imai, K.; Gary King, E.A.S. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. J. Stat. Softw. 2011, 42, 1–28. Available online: https://www.jstatsoft.org/v42/i08/ (accessed on 1 February 2022). [CrossRef] [Green Version]
  30. CNN Brasil. Covaxin Tem Maior Preço por Vacina Negociado pelo Brasil; Veja Comparativo. 23 June 2021. Available online: https://www.cnnbrasil.com.br/saude/covaxin-tem-maior-preco-por-vacina-negociado-pelo-brasil-veja-comparativo/ (accessed on 16 December 2021).
  31. Brasil Ministério da Saúde; Secretaria de Atenção Especializada à Saúde. PORTARIA No 237, DE 18 DE MARÇO DE 2020—Tabela de Procedimentos, Medicamentos, Órteses, Próteses e Materiais Especiais do (SUS), Para Atendimento Exclusivo de Pacientes com Diagnóstico Clínico de COVID-19. 2020. Available online: https://www.in.gov.br/en/web/dou/-/portaria-n-237-de-18-de-marco-de-2020-*-261494685 (accessed on 1 October 2021).
  32. Blakeway, H.; Prasad, S.; Kalafat, E.; Heath, P.T.; Ladhani, S.N.; Le Doare, K.; Magee, L.A.; O’brien, P.; Rezvani, A.; von Dadelszen, P.; et al. COVID-19 vaccination during pregnancy: Coverage and safety. Am. J. Obstet. Gynecol. 2022, 226, 236.e1-14. [Google Scholar] [CrossRef] [PubMed]
  33. Modi, N.; Ayres-de-Campos, D.; Bancalari, E.; Benders, M.; Briana, D.; Di Renzo, G.C.; Fonseca, E.B.; Hod, M.; Poon, L.; Cortes, M.S.; et al. Equity in coronavirus disease 2019 vaccine development and deployment. Am. J. Obstet. Gynecol. 2021, 224, 423–427. [Google Scholar] [CrossRef]
  34. Riad, A.; Schünemann, H.; Attia, S.; Peričić, T.P.; Žuljević, M.F.; Jürisson, M.; Kalda, R.; Lang, K.; Morankar, S.; Yesuf, E.A.; et al. COVID-19 vaccines safety tracking (CoVaST): Protocol of a multi-center prospective cohort study for active surveillance of COVID-19 vaccines’ side effects. Int. J. Environ. Res. Public Health 2021, 18, 7859. [Google Scholar] [CrossRef]
  35. Krause, P.R.; Gruber, M.F. Emergency use authorization of COVID-19 vaccines—safety and efficacy follow-up considerations. N. Engl. J. Med. 2020, 383, e107. [Google Scholar] [CrossRef]
  36. Brasil Ministério da Saúde; Agência Nacional de Vigilância Sanitária (ANVISA). Plano de Monitoramento de Eventos Adversos de Vacinas. Available online: https://www.gov.br/anvisa/pt-br/assuntos/fiscalizacao-e-monitoramento/notificacoes/medicamentos-e-vacinas (accessed on 26 April 2022).
  37. Geoghegan, S.; Stephens, L.C.; Feemster, K.A.; Drew, R.J.; Eogan, M.; Butler, K.M. “This choice does not just affect me.” Attitudes of pregnant women toward COVID-19 vaccines: A mixed-methods study. Hum. Vaccines Immunother. 2021, 17, 3371–3376. [Google Scholar] [CrossRef]
  38. Lipkind, H.S.; Vazquez-Benitez, G.; DeSilva, M.; Vesco, K.K.; Ackerman-Banks, C.; Zhu, J.; Boyce, T.G.; Daley, M.F.; Fuller, C.C.; Getahun, D.; et al. Receipt of COVID-19 Vaccine During Pregnancy and Preterm or Small-for-Gestational-Age at Birth—Eight Integrated Health Care Organizations, United States, 15 December 2020–22 July 2021. MMWR Morb. Mortal. Wkly. Rep. 2022, 71, 26–30. [Google Scholar] [CrossRef]
  39. Theiler, R.N.; Wick, M.; Mehta, R.; Weaver, A.L.; Virk, A.; Swift, M. Pregnancy and birth outcomes after SARS-CoV-2 vaccination in pregnancy. Am. J. Obs. Gynecol. MFM 2021, 3, 100467. [Google Scholar] [CrossRef] [PubMed]
  40. Magnus, M.C.; Örtqvist, A.K.; Dahlqwist, E.; Ljung, R.; Skår, F.; Oakley, L.; Macsali, F.; Pasternak, B.; Gjessing, H.K.; Håberg, S.E.; et al. Association of SARS-CoV-2 Vaccination during Pregnancy with Pregnancy Outcomes. JAMA 2022, 327, 1469–1477. [Google Scholar] [CrossRef] [PubMed]
  41. Fell, D.B.; Dhinsa, T.; Alton, G.D.; Török, E.; Dimanlig-Cruz, S.; Regan, A.K.; Sprague, A.E.; Buchan, S.A.; Kwong, J.C.; Wilson, S.E.; et al. Association of COVID-19 Vaccination in Pregnancy with Adverse Peripartum Outcomes. JAMA 2022, 327, 1478–1487. [Google Scholar] [CrossRef] [PubMed]
Vaccines 10 00749 g001 550
Figure 1. Participant flowchart. COVD-19, coronavirus disease 2019; PCR—polymerase chain reaction.
Figure 1. Participant flowchart. COVD-19, coronavirus disease 2019; PCR—polymerase chain reaction.
Vaccines 10 00749 g001
Table
Table 1. Baseline characteristics of subjects according to vaccination status.
Table 1. Baseline characteristics of subjects according to vaccination status.
VariablesVaccinated
(n = 200)		Unvaccinated
(n = 2084)		p-Value
Age (years); mean ± sd $31.44 ± 7.7229.72 ± 7.090.0031
Self-reported ethnicity, n (%)
White
Nonwhite		 0.106 2
111/183 (60.7)1022/1888 (54.1)
72/183 (39.3)866/1888 (45.9)
Comorbidities, n (%):
Cardiac22/93 (23.7)104/842 (12.4)0.0042
Diabetes mellitus21/94 (22.3)144/852 (16.9)0.239 2
Hematologic2/89 (2.2)7/814 (0.9)0.219 3
Obesity14/90 (15.6)191/871 (21.9)0.204 2
Asthma9/90 (10.0)65/832 (7.8)0.602 2
Hepatic1/89 (1.1)3/810 (0.4)0.341 3
Neurologic2/88 (2.3)9/811 (1.1)0.293 3
Other lung diseases3/89 (3.4)9/814 (1.1)0.105 3
Immunosuppression5/89 (5.6)11/812 (1.4)0.0153
Renal2/89 (2.2)9/806 (1.1)0.300 3
Education, n (%) 0.116 2
Up to 9 years20/101 (19.8)279/1044 (26.7)
From 9 to 12 years55/101 (54.5)573/1044 (54.9)
Over 12 years26/101 (25.7)192/1044 (18.4)
Residence area, n (%) 0.850 3
Urban179/188 (95.2)1838/1957 (93.9)
Periurban0 (0.0)6/1957 (0.3)
Rural9/188 (4.8)113/1957 (5.8)
n: number; sd: standard deviation; 1: Student’s t-test; 2: chi-square test; 3: Fisher’s exact test; $: Cohen’s d = −0.24 (95% CI −0.39–0.10—small).
Table
Table 2. Characteristics of COVID-19 symptoms by vaccination status.
Table 2. Characteristics of COVID-19 symptoms by vaccination status.
VariablesVaccinated
(n = 200)		Unvaccinated
(n = 2084)		OR (95% CI)
Symptoms, n (%)
Fever82/176 (46.6)1077/1860 (58.9)0.63 (0.47–0.86)
Cough137/182 (75.3)1532/1938 (79.1)0.81 (0.57–1.15)
Sore throat33/159 (20.8)447/1710 (26.1)0.74 (0.50–1.10)
Dyspnea97/173 (56.1)1349/1914 (70.5)0.53 (0.39–0.73)
Respiratory discomfort77/172 (44.8)1028/1820 (56.5)0.62 (0.46–0.86)
Desaturation69/172 (40.1)1025/1840 (55.7)0.53 (0.39–0.73)
Diarrhea16/159 (10.1)189/1677 (11.3)0.88 (0.51–1.51)
Vomiting16/159 (10.1)202/1682 (12.0)0.82 (0.48–1.40)
Abdominal pain18/156 (11.5)164/1658 (9.9)1.19 (0.71–1.99)
Fatigue53/163 (32.5)590/1737 (34.0)0.94 (0.67–1.32)
Loss of smell33/160 (20.6)310/1682 (18.4)1.15 (0.77–1.72)
Loss of taste30/159 (18.9)287/1687 (16.8)1.15 (0.76–1.74)
Any respiratory symptom127/183 (69.4)1618/1979 (81.8)0.51 (0.36–0.71)
Any symptom178/194 (91.8)1980/2058 (96.2)0.44 (0.25–0.77)
CI: confidence interval; n: number; OR: odds ratio.
Table
Table 3. Characteristics of COVID-19 outcomes according to vaccination status, overall and after propensity score matching.
Table 3. Characteristics of COVID-19 outcomes according to vaccination status, overall and after propensity score matching.
Variables
n (%)		Vaccinated
(n = 200)		Unvaccinated
(n = 2084)		OR (95%CI)Vaccinated
(n = 200)
PSM		Unvaccinated
(n = 200)
PSM		OR
(95% CI)
PSM
ICU admission44/187 (23.5)740/1979 (37.4)0.52 (0.36–0.73)44/187 (23.5)69/190 (36.3)0.54 (0.34–0.85)
Intubation9/189 (4.8)368/1959 (18.8)0.22 (0.11–0.43)9/189 (4.8)39/189 (20.6)0.19 (0.09–0.41)
Final outcome,
Cure
Death		194/200 (97.0)
6/200 (3.0)		1790/2084 (85.9)
294/2084 (14.1)		0.188 (0.083–0.428)194/200 (97.0)
6/200 (3.0)		174/200 (87.0)
26/200 (13.0)		0.207 (0.0.83–0.515)
CI: confidence interval; n: number; OR: odds ratio; PSM: propensity score matching.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

de Freitas Paganoti, C.; Alkmin da Costa, R.; Papageorghiou, A.T.; da Silva Costa, F.; Quintana, S.M.; Graziela de Godoi, L.; Adriana Jiménez Monroy, N.; Sacramento Rodrigues, A.; Pulcineli Vieira Francisco, R. COVID-19 Vaccines Confer Protection in Hospitalized Pregnant and Postpartum Women with Severe COVID-19: A Retrospective Cohort Study. Vaccines 2022, 10, 749. https://doi.org/10.3390/vaccines10050749

AMA Style

de Freitas Paganoti C, Alkmin da Costa R, Papageorghiou AT, da Silva Costa F, Quintana SM, Graziela de Godoi L, Adriana Jiménez Monroy N, Sacramento Rodrigues A, Pulcineli Vieira Francisco R. COVID-19 Vaccines Confer Protection in Hospitalized Pregnant and Postpartum Women with Severe COVID-19: A Retrospective Cohort Study. Vaccines. 2022; 10(5):749. https://doi.org/10.3390/vaccines10050749

Chicago/Turabian Style

de Freitas Paganoti, Cristiane, Rafaela Alkmin da Costa, Aris T. Papageorghiou, Fabrício da Silva Costa, Silvana Maria Quintana, Luciana Graziela de Godoi, Nátaly Adriana Jiménez Monroy, Agatha Sacramento Rodrigues, and Rossana Pulcineli Vieira Francisco. 2022. "COVID-19 Vaccines Confer Protection in Hospitalized Pregnant and Postpartum Women with Severe COVID-19: A Retrospective Cohort Study" Vaccines 10, no. 5: 749. https://doi.org/10.3390/vaccines10050749

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop