Spatiotemporal Analysis of Mortality from Cardiomyopathies in Brazil between 2001 and 2021.

Authors

Luiz Fernando Kubrusly, Ana Clara Abdo Lopes, Fernanda Ritt de Souza, Gustavo Ferrucio Dieter, Laura Nadolny, Leonardo Moreira Dias, Letícia Moreira Dias, Luis Gustavo Machado Farias, Roberto Oliveira Basso, Vitória Naomi Okimura

Published in

Arquivos brasileiros de cardiologia. Volume 123. Issue 6. Pages e20260064. Epub Jul 27, 2026.

Abstract

Brazil presents regional variations in mortality from cardiomyopathies, influenced by demographic characteristics, socioeconomic inequalities, and differences in access to health services. Between 2001 and 2021, 272,448 deaths from the disease were recorded in the country.
To analyze, at the national level, the epidemiological profile and the spatiotemporal distribution of mortality from cardiomyopathies in Brazil, from 2001 to 2021.
Epidemiological study based on secondary data from the Mortality Information System (SIM/DATASUS) and population estimates from IBGE. Crude mortality rates were calculated per municipality. Temporal analysis was performed using Joinpoint, estimating the annual percentage change (APC). Spatial analysis used GeoDa, with Bayesian smoothing and evaluation of spatial autocorrelation using the Global Moran's I and LISA indices. Statistical significance was set at p < 0.05.
There were 272,448 deaths due to cardiomyopathies, predominantly in men (58.65%), individuals aged 80 or older (25.74%), white individuals (52.18%), married individuals (36.77%), and those with 1 to 3 years of completed schooling (21.91%). The average mortality rate was 6.66 per 100,000 inhabitants, reaching 7.64 per 100,000 in 2004 and falling to 4.15 per 100,000 in 2020. A significant annual reduction of 1.86% was observed (p < 0.05). Spatial analysis revealed clusters of high mortality, mainly in the Midwest, South, and Southeast regions, with Corumbá de Goiás standing out (49.34/100,000).
There was a significant reduction in mortality from cardiomyopathies, despite the persistence of critical areas that require targeted strategies for surveillance, early diagnosis, and appropriate management.

PMID:
42524939
Bibliographic data and abstract were imported from PubMed on 29 Jul 2026.

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