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Mortality Profile of Deaths Related to Infective Endocarditis in Brazil and Regions: A Population-Based Analysis of
João Vitor Fazzio de Andrade Cordeiro1, Letícia Martins Raposo2, Paulo Henrique Godoy3
1School of Medicine and Surgery, Federal University of the State of Rio de Janeiro, Rua Silva Ramos, 32, Tijuca, Rio de Janeiro 20270-330, Brazil.
Background:
Studies of infective endocarditis (IE) are generally limited to institutions, underlining the need for more comprehensive epidemiological research.
Objective:
The aim of this study was to determine the mortality profile of IE-related deaths and related causes in Brazil at the national level and across regions.
Method:
We conducted a population-based study using data from the country's mortality information system for the period 2000 to 2019. We identified IE-related deaths and related causes based on the ICD-10 codes. Cluster analysis was performed to determine the relationship between the variables.
Results:
There were 52,055 IE-related deaths during the study period. Deaths occurred predominantly among men and people aged between 60 and 79 years. The Southeast accounted for the largest proportion of deaths. The most frequent ICD-10 chapter mentioned in relation to IE-related deaths was diseases of the circulatory system. We identified three distinctive profiles: 1-an age of 80 years and over and women, where the most frequent chapters were endocrine, circulatory and metabolic diseases and the South and Southeast accounted for the largest proportion of deaths; 2-an age between 30 and 79 years and men, where the most frequent chapters were infectious and genitourinary diseases and the South and Southeast accounted for the largest proportion of deaths; and 3-an age between 0 and 29 years without any difference between sexes, where the most frequent chapter was diseases of the respiratory system and the North, Northeast and Midwest accounted for the largest proportion of deaths.
Conclusions:
The findings of the cluster analysis revealed distinctive IE-related mortality profiles, indicating regional differences.
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