Evidence map›Paper›PMID 39132013›Full record

ArticleGlobal heart2024

Bayesian Modeling and Estimation of Spatial Risk for Hospitalization and Mortality from Ischemic Heart Disease in Paraná, Brazil.

Amanda de Carvalho Dutra, Lincoln Luis Silva, Amanda Gubert Alves Dos Santos, Rogério do Lago Franco, Giane Aparecida Chaves Forato, Marcela Bergamini, Isadora Martins Borba, Edvaldo Vieira de Campos, Catherine Ann Staton, Diogo Pinetti Marquezoni and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Global heart, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Amanda de Carvalho DutraPost-Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.ORCID 0000-0002-2372-7275
Lincoln Luis SilvaDepartment of Emergency Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America.ORCID 0000-0001-8445-0743
Amanda Gubert Alves Dos SantosCentro Universitário Integrado, Campo Mourao, Parana, Brazil.ORCID 0000-0001-7330-2905
Rogério do Lago FrancoPost-Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.ORCID 0000-0002-5926-6941
Giane Aparecida Chaves ForatoPost-Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.ORCID 0000-0001-8508-700X
Marcela BergaminiPost-Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.ORCID 0000-0002-8517-0660
Isadora Martins BorbaDepartment of Medicine, State University of Maringa, Maringa, Parana, Brazil.ORCID 0000-0003-4637-3286
Edvaldo Vieira de CamposRegional University Hospital of Maringa, State University of Maringa, Parana, Brazil.ORCID 0000-0002-7343-4526
Catherine Ann StatonDepartment of Emergency Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America.ORCID 0000-0001-7061-5762
Diogo Pinetti MarquezoniHospital das Clinicas of the Medical School of Botucatu, UNESP, Sao Paulo, Brazil.ORCID 0000-0001-6460-8486
Oscar Kenji NiheiEducation, Letters and Health Center, State University of the West of Paraná, Foz do Iguaçu, Paraná, Brazil.ORCID 0000-0002-9156-7787
João Ricardo Nickenig VissociDuke Global Health Institute, Durham, North Carolina, United States of America.ORCID 0000-0001-7276-0402
Luciano de AndradePost-Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.ORCID 0000-0003-2077-1518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Despite significant advancements in understanding risk factors and treatment strategies, ischemic heart disease (IHD) remains the leading cause of mortality worldwide, particularly within specific regions in Brazil, where the disease is a burden. Therefore, the aim of this study was to estimate the risk of hospitalization and mortality from IHD in the state of Paraná (Brazil), using spatial analysis to identify areas with higher risk based on socioeconomic, demographic and health variables. Methods: This is an ecological study based on secondary and retrospective IHD hospitalization and mortality data obtained from the Brazilian Hospitalization and Mortality Information Systems during the 2010-2021 period. Data were analyzed for 399 municipalities and 22 health regions in the state of Paraná. To assess the spatial patterns of the disease and identify relative risk (RR) areas, we constructed a risk model by Bayesian inference using the R-INLA and SpatialEpi packages in R software. Results: A total of 333,229 hospitalizations and 73,221 deaths occurred in the analyzed period, and elevated RR of hospitalization (RR = 27.412, CI 21.801; 34.466) and mortality (RR = 15.673, CI 2.148; 114.319) from IHD occurred in small-sized municipalities. In addition, medium-sized municipalities also presented elevated RR of hospitalization (RR = 6.533, CI 1.748; 2.006) and mortality (RR = 6.092, CI 1.451; 2.163) from IHD. Hospitalization and mortality rates were higher in white men aged 40-59 years. A negative association was found between Municipal Performance Index (IPDM) and IHD hospitalization and mortality. Conclusion: Areas with increased risk of hospitalization and mortality from IHD were found in small and medium-sized municipalities in the state of Paraná, Brazil. These results suggest a deficit in health care attention for IHD cases in these areas, potentially due to a low distribution of health care resources.

Indexed as

Bayes TheoremHospitalizationMyocardial IschemiaAdultAgedBrazilFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsSurvival RateBayesian analysisepidemiologyischemic heart diseasespatiotemporal analysis

Identifiers

PMID39132013
PMCPMC11312845

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