Internações hospitalares e taxa de mortalidade por infarto agudo do miocárdio na população adulta brasileira segundo o DATASUS

Introduction: Among Cardiovascular Diseases, acute myocardial infarction (AMI) is the condition that most leads to death in the first moments after the onset of symptoms, where 40% to 65% of cases of death occur in the first hour and 80% in first 24 hours, representing a major public health problem...

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Autor principal: Freire, Ádria Louise de Carvalho
Outros Autores: Gualdi, Lucien Peroni
Formato: bachelorThesis
Idioma:pt_BR
Publicado em: Universidade Federal do Rio Grande do Norte
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Endereço do item:https://repositorio.ufrn.br/handle/123456789/55992
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Resumo:Introduction: Among Cardiovascular Diseases, acute myocardial infarction (AMI) is the condition that most leads to death in the first moments after the onset of symptoms, where 40% to 65% of cases of death occur in the first hour and 80% in first 24 hours, representing a major public health problem in Brazil and the world. Objective: Tocharacterize the prevalence of hospital admissions, deaths and mortality rate due to AMI in the Brazilian adult population over 40 years of age, between 2008 and 2019 according to the SIH/SUS database. Methodology: This is a descriptive study of temporal trends, using secondary data on hospitalizations, deaths and mortality rates recorded in SIH/SUS. A value of p<0.05 is considered significant. Results and Discussion: An increase in hospitalizations and deaths due to AMI was observed, but the mortality rate showed a decrease. Conclusion: Considering the data analyzed, males had the highest number of hospitalizations and deaths, but females had a higher mortality rate. The age group 60 to 69 years old had the highest number of6 hospitalizations, 70 to 79 years old had the highest number of deaths and ≥ 80 years old had the highest mortality rate. In the regions, the southeast had the highest numbers of hospitalizations and deaths, but the northeast had the highest mortality rate. The analysis of epidemiological data can provide a fundamental diagnosis for the creation of means to minimize risk factors, in order to provide improvements to health systems.