巴西里约热内卢急性心肌梗死的社会人口统计特征(2010-2019)

L. A. D. Carvalho
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引用次数: 2

摘要

背景:心血管疾病(cvd)是巴西人死亡的主要原因,其中包括急性心肌梗死(AMI)。2017年,巴西12%的梗死死亡发生在里约热内卢州,使其成为该国重要的“热点”。目的:本研究旨在描述过去十年来该州受AMI影响的人群特征,以指导未来与心血管疾病相关的公共政策。方法:通过DATASUS获取2010 - 2019年AMI患者的二次资料。使用死亡率信息系统(SIM)收集的信息和巴西地理与统计研究所(IBGE)提供的人口统计数据计算住院病死率、死亡率和比例死亡率。结果:主要结果表明,妇女、60岁及以上患者、黑人/种族和该州西北地区的住院病死率较高。男性的死亡率较高,特别是在中南部地区和50岁以上的男性。40-49岁的人有相当大的梗死死亡风险。住院和死亡证明中被列为"被忽视"的主要数据类别是那些与种族和教育水平有关的数据。结论:预防不应只针对老年人,而应针对40岁以上人群,尤其是男性。电子公共数据系统的不完备会影响种族/肤色或教育水平作为流行病学变量的使用。应该进行新的研究,以了解为什么中南部地区受到梗塞的影响如此严重。
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Sociodemographic Profile of Acute Myocardial Infarction in Rio De Janeiro, Brazil (2010-2019)
Background: Cardiovascular Diseases (CVDs) are the main cause of mortality in Brazil, which includes acute myocardial infarction (AMI). In 2017, 12% of deaths caused by infarction in Brazil occurred in the state of Rio de Janeiro, characterizing it as an important “hotspot” in the country. Objectives : This study aimed to characterize the population affected by AMI over the past decade within the state so as to guide future public policies related to CVDs. Methods : Secondary data of patients affected by AMI between 2010 and 2019 were obtained by DATASUS. In-hospital case-fatality rates, mortality rates, and proportional mortality were calculated using information gathered by the Mortality Information System (SIM) and demographic statistics produced by the Brazilian Institute of Geography and Statistics (IBGE). Results : The main results showed that in-hospital case-fatality rates were higher in women, patients aged 60 years and over, the black color/race, and the state's Northwest region. The mortality rate was higher among men, especially in the South-central region and those over 50 years of age. People aged 40-49 years presented a considerable risk of death by infarction. The major categories of data classified as “ignored” in hospital admissions and death certificates were those related to race and education level. Conclusions : Prevention should not only focus on the elderly, but also on people over 40, especially men. The incompleteness of electronic public data systems can affect the use of race/color or education level as epidemiological variables. New studies should be conducted to understand why the South-central region is so heavily affected by infarction.
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24 weeks
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