Analysis and clinical and epidemiological investigation of maternal mortality due to COVID-19 in Brazil between 2020 and 2023: cross-sectional study
DOI:
https://doi.org/10.17267/2317-3394rpds.2024.e5781Keywords:
Coronavirus 2019-nCoV Infection, Pregnancy, Postpartum Period, Maternal Mortality, Health Information SystemsAbstract
INTRODUCTION: The trends and factors associated with maternal mortality from COVID-19 in women nationally and internationally highlight the racial disparity in the outcomes of the disease. OBJECTIVE: To investigate the mortality of Brazilian women of reproductive age between 10-49 years through the Brazilian Obstetric Observatory (OOBr) from 2020 to 2023. METHOD: This is a cross-sectional population-based study carried out between January 2020 and December 2023 in Brazil with women of reproductive age, including demographic data such as: age, skin color, geopolitical region,; signs and symptoms, presence or absence of comorbidity, hospitalization in the Intensive Care Unit, cure and death from COVID-19. RESULTS: The year 2021 recorded the highest number of cases, indicating a possible peak in the spread of the disease, especially among black women. The 20-34 age group had the highest number of cases, and the South and Northwest regions had the highest number of deaths. The analysis pointed to obesity as a significant risk factor for serious complications from COVID-19 in pregnant and puerperal women. The need for ICU hospitalization and ventilatory support increased over the years, with higher rates in 2021. DISCUSSION: Inadequate death classifications can affect the results. The analysis is restricted to the information available on OOBr, and other relevant variables may not be present in the records. CONCLUSION: The study highlights the complexity of the interactions between COVID-19 and different population groups, highlighting the need for interventions, public health policies and a multidisciplinary approach to ensure better health outcomes for the obstetric population.
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Copyright (c) 2024 Gustavo Gonçalves dos Santos, Nicoly Maturana de Oliveira
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.
