Data de publicação
17 de janeiro de 2022
Periódico
Frontiers in Public Health
Resumo
Objective – This study aimed to analyze the chain of events and contributing causes associated with COVID-19 adult mortality (30–69 years old), based on qualified data on CoD from three Brazilian capitals cities, Belo Horizonte, Salvador, and Natal, in 2020.
Methods – Data of all deaths among residents in the three capitals in 2020 were provided by these municipalities’ routine Mortality Information System (SIM). Mentions B34.2 with the markers U07.1 and U07.2 in the death certificate identified COVID-19 deaths. We used a multiple-cause-of-death approach better to understand the complexity of the morbid process of COVID-19. Conditions that appeared more frequently in the same line or above the COVID-19 mentions in the death certificate were considered a chain-of-event. Conditions that occurred more often after the codes for COVID-19 were considered as contributing.
Results – In 2020, 7,029 records from COVID-19 as the underlying cause of death were registered in SIM in the three capitals. Among these, 2,921 (41.6%) were deceased between 30 and 69 years old, representing 17.0% of deaths in this age group. As chain-of-events, the most frequent conditions mentioned were sepsis (33.4%), SARS (32.0%), acute respiratory failure (31.9%), unspecified lower respiratory infections (unspecified pneumonia) (20.1%), and other specified respiratory disorders (14.1%). Hypertension (33.3%), diabetes unspecified type (21.7%), renal failure (12.7%), obesity (9.8%), other chronic kidney diseases (4.9%), and diabetes mellitus type 2 (4.7%) were the most frequent contributing conditions. On average, 3.04 conditions were mentioned in the death certificate besides COVID-19. This average varied according to age, place of death, and capital.
Conclusion – The multiple-cause analysis is a powerful tool to better understand the morbid process due to COVID-19 and highlight the importance of chronic non-communicable diseases as contributing conditions.
DOI/link
https://doi.org/10.3389/fpubh.2021.788932
Autoria
Vínculo institucional
Lattes
Orcid
Ana Maria Nogales Vasconcelos
Department of Statistics, University of Brasilia, Brasilia, Brazil
Lenice Ishitani
Epidemiology and Health Assessment Research Group (GPEAS), Federal University of Minas Gerais, Belo Horizonte, Brazil
Daisy Maria Xavier Abreu
Epidemiology and Health Assessment Research Group (GPEAS), Federal University of Minas Gerais, Belo Horizonte, Brazil
Elisabeth França
Graduate Program in Public Health, School of Medicine and Epidemiology and Health Assessment Research Group (GPEAS), Federal University of Minas Gerais, Belo Horizonte, Brazil