AI Article Synopsis

  • The study explores the impact of ambient temperature on acute myocardial infarction (AMI) mortality across six Brazilian micro-regions with varying climates.
  • Findings indicate that regions closer to the equator had no significant temperature-mortality association, while the Southern and Midwest regions showed specific temperature ranges associated with the highest mortality risks.
  • The research highlights the importance of understanding temperature-related mortality to inform health policies, showing distinct yearly death rates attributed to extreme temperatures in different urban areas.

Article Abstract

Ambient temperature may lead to decompensation of cardiovascular diseases and deaths by acute myocardial infarction (AMI). Little is known about this relationship in South American countries located in regions of a hot climate. This study aims to investigate the effects of ambient temperature on mortality due to AMI in six Brazilian micro-regions, which present different climates. We analyzed daily records of deaths by AMI between 1996 and 2013. We estimated the accumulate relative and attributable risks with lags of up to 14 days, using distributed non-linear lag model. Micro-regions that were closest to the equator did not show an association between temperature and mortality. The lowest risk temperatures varied between 22 °C and 28 °C, in the Southern region of Brazil and the Midwest region, respectively. Low temperatures associated with the highest mortality risk were observed in the same areas, varying between 5 °C and 15 °C. The number of deaths attributed to cold temperatures varied from 176/year in Brasilia to 661/year in São Paulo and those deaths attributed to hot temperatures in Rio de Janeiro amounted to 115/year. We showed the relative risk and the attributable risk of warmer and colder days in tropical regions. The estimate of the number of deaths due to climate, varying according to each area, is a way of bringing information to those responsible for health policies based on easily-understood measurements.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760184PMC
http://dx.doi.org/10.1038/s41598-019-50235-8DOI Listing

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