ArticleArquivos brasileiros de cardiologia2020
Cardiovascular Disease Mortality According to the Brazilian Information System on Mortality and the Global Burden of Disease Study Estimates in Brazil, 2000-2017.
Article in Arquivos brasileiros de cardiologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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35 citing papers in PubMed, 80 citations in OpenAlex.
- Trial
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- Premature mortality due to noncommunicable diseases in Brazilian capitals: redistribution of garbage causes and evolution by social deprivation strata.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023Article
- Temporal-spatial analysis of mortality from cardiovascular diseases in the State of Ceará, Brazil, between 2009-2019.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023Article
- Prevalence of ideal cardiovascular health in the Brazilian adult population - National Health Survey 2019.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023Article
- Mortality patterns in municipalities of a mining region before the Brumadinho dam failure, state of Minas Gerais, Brazil.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023Article
- Socioeconomic Indicators and Mortality from Ischemic Heart Disease and Cerebrovascular Disease in Brazil from 2000 to 2019.Arquivos brasileiros de cardiologia · 2023Article
- Impact of Moderate-To-Vigorous Sports Participation Combined with Resistance Training on Metabolic and Cardiovascular Outcomes among Lean Adolescents: ABCD Growth Study.International journal of environmental research and public health · 2022Article
- Sex Differences in Cardiovascular Disease Mortality in Brazil between 1996 and 2019.International journal of environmental research and public health · 2022Article
- Cost-Effectiveness of Using the Coronary Calcium Score to Guide Therapeutic Decisions in Primary Prevention in the Brazilian Population.Arquivos brasileiros de cardiologia · 2022Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Brazilian Information System on Mortality (SIM) is of vital importance in monitoring the trends of cardiovascular diseases (CVDs) and is aimed at supporting public policies.
objectiveTo compare historical series of CVD mortality based on data from the SIM, with and without correction, and from the Brazil Global Burden of Disease (GBD) Study 2017, in the 2000-2017 period.
methodsAnalysis of CVD mortality in Brazil between 2000 and 2017. Three CVD mortality estimates were compared: Crude SIM, Corrected SIM, and GBD 2017. Absolute numbers and age-standardized rates were used to compare the estimates for Brazil, its states and the Federal District.
resultsIn the SIM, the total of deaths ranged from 261,000, in 2000, to 359,000, in 2017. In the GBD 2017, the total of deaths ranged from 292,000 to 388,000, for the same years, respectively. A high proportion of the causes of death from CVD corresponded to garbage codes, classified according to the GBD 2017, reaching 42% in 2017. The rates estimated by GBD ranged from 248.8 (1990) to 178.0 (2017) deaths per 100,000 inhabitants. The rates of the Crude SIM and Corrected SIM also showed a reduction for the whole series analyzed, the Crude SIM showing lower rates: 204.9 (1990) and 155.1 (2017) deaths per 100 thousand inhabitants. When analyzing by the states and Federal District, the Crude SIM trends reversed, with an increase in mortality rates in the Northern and Northeastern states.
conclusionThis study shows the decrease in CVD mortality rates in Brazil in the period analyzed. Conversely, when analyzing by the states and Federal District, the Crude SIM showed an increase in those rates for the Northern and Northeastern states. The use of crude data from the SIM can result in interpretation errors, indicating an increase in rates, due to the increase in death data capture and the improvement in the definition of the underlying causes of death in the past decade, especially in the Northern and Northeastern regions, justifying the use of corrected data in mortality analyses. (Arq Bras Cardiol. 2020; 115(2):152-160).
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