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Predictors of hospital mortality based on primary angioplasty treatment

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Main Author: Castro, Pedro Paulo Neves
Publication Date: 2021
Format: Master thesis
Language: por
Source: Repositório Comum do Brasil - Deposita
Download full: https://deposita.ibict.br/handle/deposita/302
Summary: Predictors of Hospital Mortality in Patients Undergoing Primary Angioplasty Introduction: Cardiovascular diseases (CVD) are the main cause of morbidity and mortality in Brazil. Ischemic heart disease is the cause of the highest number of deaths among CVDs. The primary angioplasty (PCI) consists of a mechanical treatment to reopen a blocked coronary artery related to acute myocardial infarction with ST-segment elevation. It´s the preferred treatment strategy since it can be performed promptly. Stratifying the risk of death of patients in this context is essential for decision-making and clinical research. Objectives: identify factors related to the outcome of death in patients undergoing PCI. Material and methods: Case-control study, using a national registry as a data source. This registry as a result of the voluntary collaboration of the members of the Brazilian society of hemodynamics and interventional cardiology called the National Cardiovascular Interventions Center (CENIC). The patients were divided into two groups, in the first (cases) the data on patients who died and in the second group (control), patients who underwent the procedure and who survived were allocated. The variables were selected based on previous studies. The association between each variable and the death outcome was assessed using a simple logistic regression model, variables with p <0.20 were included in multiple models using the stepwise strategy. The fit quality was assessed using the Hosmer-Lemeshow test. The results were presented as odds ratios (OR) with the respective 95% confidence intervals (95% CI). It was considered significant p <0.05. Results: 26,990 records were analyzed, of which 18,834 (69.8%) were male, with a mean age of 61.5 ± 12 years. The total number of deaths was 904 and the overall mortality rate was 3.3%. In the multivariate analysis, the main variables related to the death outcome were age> 60 years (60 to 69 years with OR 2,004 [1,336; 3,076], 70 to 79 years OR 2,462 [1,635; 3,789], and ≥ 80 years OR 3,688 [2,384; 5,812], Killip II, III and IV (II with OR 2,718 [1,919; 3,827], III OR 8,139 [5,672; 11,637] and IV OR 19,833 [14,851; 26,688]), severe ventricular dysfunction (OR 3,625 [2,393; 5,675]) and infarction after the intervention (OR 5.006 [2,568; 9,460]) were associated with a lower risk of death, male gender (OR 0.789 [0.635; 0.981]), dyslipidemia (OR 0.689 [0.558; 0.850]), TIMI 2 and 3 (2 with OR 0.593 [0.409; 0.857] and 3 OR) 0.176 [0.133; 0.235]) and the number of lesions treated (OR 0.859 [0.785; 0.938]). Conclusion: The predictors of mortality in patients undergoing PCI were: Killip classification, reinfarction, advanced age, severe global left ventricular dysfunction, female, and post-intervention TIMI 0 / I flow. The identification of these data can be useful in stratification and care for patients with coronary disease.
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author Castro, Pedro Paulo Neves
author_browse Castro, Pedro Paulo Neves
author_facet Castro, Pedro Paulo Neves
author_role author
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contributor_str_mv Pena, José Luiz Barros
Muora, Isabel Cristina Gomes
Nascimento, Bruno Ramos
Carrilo, Luis Ramón Virgen
dc.contributor.advisor-co1.fl_str_mv Muora, Isabel Cristina Gomes
dc.contributor.advisor1.fl_str_mv Pena, José Luiz Barros
dc.contributor.author.fl_str_mv Castro, Pedro Paulo Neves
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/5733829388401133
dc.contributor.referee1.fl_str_mv Nascimento, Bruno Ramos
dc.contributor.referee2.fl_str_mv Carrilo, Luis Ramón Virgen
dc.date.accessioned.fl_str_mv 2023-04-27T14:27:14Z
dc.date.issued.fl_str_mv 2021
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.identifier.citation.fl_str_mv Castro, Pedro Paulo Neves de. Preditores de mortalidade hospitalar nos pacientes submetidos a angioplastia primária. / Pedro Paulo Neves de Castro. – Belo Horizonte, 2021. 136 f. : il. Orientador: José Luiz Barros Pena. Coorientadora: Isabel Cristina Gomes Moura. Dissertação (Mestrado em Ciências da Saúde) - Faculdade Ciências Médicas de Minas Gerais (FCM-MG). 1. Infarto do miocárdio - morte. 2. Intervenção coronária percutânea. 3. Base de dados. I. Pena, José Luiz Barros. II. Moura, Isabel Cristina Gomes. III. Título.
dc.identifier.uri.fl_str_mv https://deposita.ibict.br/handle/deposita/302
dc.language.iso.fl_str_mv por
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Faculdade Ciências Médicas – MG
dc.publisher.none.fl_str_mv Faculdade Ciências Médicas de Minas Gerais
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Ciências da Saúde da Faculdade Ciências Médicas – MG
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositório Comum do Brasil - Deposita
instname:Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)
instacron:IBICT
dc.subject.cnpq.fl_str_mv Medicina
dc.subject.por.fl_str_mv Acute myocardial infarction
database
myocardial reperfusion
percutaneous coronary intervention
mortality
dc.title.alternative.por.fl_str_mv Preditores de mortalidade hospitalar nos pacientes submetidos a angioplastia primária
dc.title.por.fl_str_mv Predictors of hospital mortality based on primary angioplasty treatment
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
description Predictors of Hospital Mortality in Patients Undergoing Primary Angioplasty Introduction: Cardiovascular diseases (CVD) are the main cause of morbidity and mortality in Brazil. Ischemic heart disease is the cause of the highest number of deaths among CVDs. The primary angioplasty (PCI) consists of a mechanical treatment to reopen a blocked coronary artery related to acute myocardial infarction with ST-segment elevation. It´s the preferred treatment strategy since it can be performed promptly. Stratifying the risk of death of patients in this context is essential for decision-making and clinical research. Objectives: identify factors related to the outcome of death in patients undergoing PCI. Material and methods: Case-control study, using a national registry as a data source. This registry as a result of the voluntary collaboration of the members of the Brazilian society of hemodynamics and interventional cardiology called the National Cardiovascular Interventions Center (CENIC). The patients were divided into two groups, in the first (cases) the data on patients who died and in the second group (control), patients who underwent the procedure and who survived were allocated. The variables were selected based on previous studies. The association between each variable and the death outcome was assessed using a simple logistic regression model, variables with p <0.20 were included in multiple models using the stepwise strategy. The fit quality was assessed using the Hosmer-Lemeshow test. The results were presented as odds ratios (OR) with the respective 95% confidence intervals (95% CI). It was considered significant p <0.05. Results: 26,990 records were analyzed, of which 18,834 (69.8%) were male, with a mean age of 61.5 ± 12 years. The total number of deaths was 904 and the overall mortality rate was 3.3%. In the multivariate analysis, the main variables related to the death outcome were age> 60 years (60 to 69 years with OR 2,004 [1,336; 3,076], 70 to 79 years OR 2,462 [1,635; 3,789], and ≥ 80 years OR 3,688 [2,384; 5,812], Killip II, III and IV (II with OR 2,718 [1,919; 3,827], III OR 8,139 [5,672; 11,637] and IV OR 19,833 [14,851; 26,688]), severe ventricular dysfunction (OR 3,625 [2,393; 5,675]) and infarction after the intervention (OR 5.006 [2,568; 9,460]) were associated with a lower risk of death, male gender (OR 0.789 [0.635; 0.981]), dyslipidemia (OR 0.689 [0.558; 0.850]), TIMI 2 and 3 (2 with OR 0.593 [0.409; 0.857] and 3 OR) 0.176 [0.133; 0.235]) and the number of lesions treated (OR 0.859 [0.785; 0.938]). Conclusion: The predictors of mortality in patients undergoing PCI were: Killip classification, reinfarction, advanced age, severe global left ventricular dysfunction, female, and post-intervention TIMI 0 / I flow. The identification of these data can be useful in stratification and care for patients with coronary disease.
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identifier_str_mv Castro, Pedro Paulo Neves de. Preditores de mortalidade hospitalar nos pacientes submetidos a angioplastia primária. / Pedro Paulo Neves de Castro. – Belo Horizonte, 2021. 136 f. : il. Orientador: José Luiz Barros Pena. Coorientadora: Isabel Cristina Gomes Moura. Dissertação (Mestrado em Ciências da Saúde) - Faculdade Ciências Médicas de Minas Gerais (FCM-MG). 1. Infarto do miocárdio - morte. 2. Intervenção coronária percutânea. 3. Base de dados. I. Pena, José Luiz Barros. II. Moura, Isabel Cristina Gomes. III. Título.
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instname_str Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)
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publishDate 2021
publishDateSort 2021
publisher.none.fl_str_mv Faculdade Ciências Médicas de Minas Gerais
reponame_str Repositório Comum do Brasil - Deposita
repository.mail.fl_str_mv deposita@ibict.br
repository.name.fl_str_mv Repositório Comum do Brasil - Deposita - Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)
repository_id_str 4658
spelling Pena, José Luiz BarrosMuora, Isabel Cristina GomesNascimento, Bruno RamosCarrilo, Luis Ramón Virgenhttp://lattes.cnpq.br/5733829388401133Castro, Pedro Paulo Neves2023-04-27T14:27:14Z2021Castro, Pedro Paulo Neves de. Preditores de mortalidade hospitalar nos pacientes submetidos a angioplastia primária. / Pedro Paulo Neves de Castro. – Belo Horizonte, 2021. 136 f. : il. Orientador: José Luiz Barros Pena. Coorientadora: Isabel Cristina Gomes Moura. Dissertação (Mestrado em Ciências da Saúde) - Faculdade Ciências Médicas de Minas Gerais (FCM-MG). 1. Infarto do miocárdio - morte. 2. Intervenção coronária percutânea. 3. Base de dados. I. Pena, José Luiz Barros. II. Moura, Isabel Cristina Gomes. III. Título.https://deposita.ibict.br/handle/deposita/302Predictors of Hospital Mortality in Patients Undergoing Primary Angioplasty Introduction: Cardiovascular diseases (CVD) are the main cause of morbidity and mortality in Brazil. Ischemic heart disease is the cause of the highest number of deaths among CVDs. The primary angioplasty (PCI) consists of a mechanical treatment to reopen a blocked coronary artery related to acute myocardial infarction with ST-segment elevation. It´s the preferred treatment strategy since it can be performed promptly. Stratifying the risk of death of patients in this context is essential for decision-making and clinical research. Objectives: identify factors related to the outcome of death in patients undergoing PCI. Material and methods: Case-control study, using a national registry as a data source. This registry as a result of the voluntary collaboration of the members of the Brazilian society of hemodynamics and interventional cardiology called the National Cardiovascular Interventions Center (CENIC). The patients were divided into two groups, in the first (cases) the data on patients who died and in the second group (control), patients who underwent the procedure and who survived were allocated. The variables were selected based on previous studies. The association between each variable and the death outcome was assessed using a simple logistic regression model, variables with p <0.20 were included in multiple models using the stepwise strategy. The fit quality was assessed using the Hosmer-Lemeshow test. The results were presented as odds ratios (OR) with the respective 95% confidence intervals (95% CI). It was considered significant p <0.05. Results: 26,990 records were analyzed, of which 18,834 (69.8%) were male, with a mean age of 61.5 ± 12 years. The total number of deaths was 904 and the overall mortality rate was 3.3%. In the multivariate analysis, the main variables related to the death outcome were age> 60 years (60 to 69 years with OR 2,004 [1,336; 3,076], 70 to 79 years OR 2,462 [1,635; 3,789], and ≥ 80 years OR 3,688 [2,384; 5,812], Killip II, III and IV (II with OR 2,718 [1,919; 3,827], III OR 8,139 [5,672; 11,637] and IV OR 19,833 [14,851; 26,688]), severe ventricular dysfunction (OR 3,625 [2,393; 5,675]) and infarction after the intervention (OR 5.006 [2,568; 9,460]) were associated with a lower risk of death, male gender (OR 0.789 [0.635; 0.981]), dyslipidemia (OR 0.689 [0.558; 0.850]), TIMI 2 and 3 (2 with OR 0.593 [0.409; 0.857] and 3 OR) 0.176 [0.133; 0.235]) and the number of lesions treated (OR 0.859 [0.785; 0.938]). Conclusion: The predictors of mortality in patients undergoing PCI were: Killip classification, reinfarction, advanced age, severe global left ventricular dysfunction, female, and post-intervention TIMI 0 / I flow. The identification of these data can be useful in stratification and care for patients with coronary disease.Preditores de Mortalidade Hospitalar nos Pacientes Submetidos a Angioplastia Primária Introdução: As doenças cardiovasculares (DCV) são a principal causa de morbimortalidade no Brasil. A doença isquêmica do coração é a que causa o maior número de mortes dentre as DCV. A angioplastia primária (ICP) consiste na desobstrução mecânica da artéria relacionada ao infarto agudo do miocárdio com supradesnivelamento do segmento ST, sendo a estratégia de tratamento preferencial, desde que possa ser realizada em tempo hábil. A estratificação do risco de morte dos pacientes neste contexto é fundamental para tomada de decisões e avaliação prognóstica. Objetivos: Identificar os fatores relacionados ao desfecho de morte em pacientes submetidos a ICP. Material e métodos: Estudo caso-controle, utilizando como fonte de dados um registro nacional, fruto da colaboração voluntária dos sócios da Sociedade Brasileira de Hemodinâmica e Cardiologia Intervencionista denominado de Central Nacional de Intervenções Cardiovasculares (CENIC). Os pacientes foram divididos em dois grupos, no primeiro (casos) foram alocados os dados dos pacientes que evoluíram a óbito e no segundo grupo (controle), os pacientes submetidos ao procedimento e que sobreviveram. As variáveis foram selecionadas com base em estudos prévios. A associação entre cada variável e o desfecho óbito foi avaliada via modelo de regressão logística simples, as variáveis com p<0,20 foram incluídas em um modelo múltiplo a partir da estratégia stepwise. A qualidade do ajuste foi avaliada utilizando-se o teste de Hosmer-Lemeshow. Os resultados foram apresentados como odds ratio (OR) com respectivos intervalos de 95% de confiança (IC 95%). Foi considerado significativo p<0,05. Resultados: Foram analisados 26.990 registros, sendo 18.834 (69,8%) do sexo masculino, com idade média de 61,5 ±12 anos. O número total de óbitos foi de 904 e a taxa de mortalidade geral foi 3,3%. Na análise multivariada, as principais variáveis relacionadas ao desfecho óbito foram idade > 60 anos (60 a 69 anos com OR 2.004 [1.336; 3.076], 70 a 79 anos OR 2.462 [1.635; 3.789], e ≥ 80 anos OR 3.688 [2.384; 5.812]), Killip II, III e IV(II com OR 2.718 [1.919; 3.827], III OR 8.139 [5.672; 11.637] e IV OR 19.833 [14.851; 26.688]), disfunção ventricular grave (OR 3.625 [2.393; 5.675]) e infarto após a intervenção (OR 5.006 [2.568; 9.460]). Associaram-se a um menor risco de morte o sexo masculino (OR 0.789 [0.635; 0.981]), dislipidemia (OR 0.689 [0.558; 0.850]), TIMI 2 e 3 (2 com OR 0.593 [0.409; 0.857] e 3 OR 0.176 [0.133; 0.235]) e o número de lesões tratadas (OR 0.859 [0.785; 0.938]). Conclusão: Os preditores de mortalidade nos pacientes submetidos a ICP foram: classificação de Killip, reinfarto, idade avançada, disfunção global acentuada do ventrículo esquerdo, sexo feminino e fluxo TIMI 0/I pós-intervenção. A identificação destes dados pode ser útil na estratificação e cuidados ao paciente coronariopata.Sudeste-1application/pdfapplication/pdfporFaculdade Ciências Médicas de Minas GeraisPrograma de Pós-Graduação em Ciências da Saúde da Faculdade Ciências Médicas – MGBrasilFaculdade Ciências Médicas – MGAcute myocardial infarctiondatabasemyocardial reperfusionpercutaneous coronary interventionmortalityMedicinaPredictors of hospital mortality based on primary angioplasty treatmentPreditores de mortalidade hospitalar nos pacientes submetidos a angioplastia primáriainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Comum do Brasil - Depositainstname:Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)instacron:IBICTTEXTdissertacaoversaofinalppnc.pdf.txtWritten by FormatFilter org.dspace.app.mediafilter.TikaTextExtractionFilter on 2025-06-06T20:16:21Z (GMT).Extracted texttext/plain102769https://deposita.ibict.br/bitstreams/d04f5454-01bc-41a6-9e79-2b1eb68652f4/downloadd76ab7f9bc67e10b0c870848dca3ba33MD53falseAnonymousREADTHUMBNAILdissertacaoversaofinalppnc.pdf.jpgWritten by FormatFilter org.dspace.app.mediafilter.PDFBoxThumbnail on 2025-06-06T20:16:21Z (GMT).Generated Thumbnailimage/jpeg2897https://deposita.ibict.br/bitstreams/2361c481-7550-4b9a-b249-602d2130151b/downloadfc8b892bd23bc4e9e83c88da805ffb52MD54falseAnonymousREADLICENSElicense.txtWritten by org.dspace.content.LicenseUtilstext/plain; charset=utf-81879https://deposita.ibict.br/bitstreams/adfe1326-a758-404d-b2d2-3c51628c4ad5/downloadbc8bd25f997e393d2b239037b0ac58c0MD51falseAnonymousREADORIGINALdissertacaoversaofinalppnc.pdf/dspace/deposita/upload/dissertacaoversaofinalppnc.pdfVersão final da dissertação em formato PDFapplication/pdf5078613https://deposita.ibict.br/bitstreams/41b375f1-9180-41e7-852a-f86816aefb43/download45ccdb9429dfcfda8a93642fcf6f9cdaMD52trueAnonymousREADdeposita/3022026-03-20T17:40:18.057623Zopen.accessoai:deposita.ibict.br:deposita/302https://deposita.ibict.brRepositório ComumPUBhttp://deposita.ibict.br/oai/requestdeposita@ibict.bropendoar:46582026-03-20T17:40:18Repositório Comum do Brasil - Deposita - Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)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
spellingShingle Predictors of hospital mortality based on primary angioplasty treatment
Castro, Pedro Paulo Neves
Acute myocardial infarction
database
myocardial reperfusion
percutaneous coronary intervention
mortality
Medicina
status_str publishedVersion
title Predictors of hospital mortality based on primary angioplasty treatment
title_full Predictors of hospital mortality based on primary angioplasty treatment
title_fullStr Predictors of hospital mortality based on primary angioplasty treatment
title_full_unstemmed Predictors of hospital mortality based on primary angioplasty treatment
title_short Predictors of hospital mortality based on primary angioplasty treatment
title_sort Predictors of hospital mortality based on primary angioplasty treatment
topic Acute myocardial infarction
database
myocardial reperfusion
percutaneous coronary intervention
mortality
Medicina
url https://deposita.ibict.br/handle/deposita/302