The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis

Detalhes bibliográficos
Autor(a) principal: Gormel,Suat
Data de Publicação: 2021
Outros Autores: Yuksel,Uygar Cagdas, Celik,Murat, Yasar,Salim, Yildirim,Erkan, Bugan,Baris, Gokoglan,Yalcin, Kabul,Hasan Kutsi, Köklü,Mustafa, Barçın,Cem
Tipo de documento: Artigo
Idioma: eng
Título da fonte: International Journal of Cardiovascular Sciences (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472021000100032
Resumo: Abstract Background Comparative data on the performance of cardiovascular risk scoring systems (CRSSs) in patients with severe coronary artery disease (CAD) are lacking. Objectives To compare different CRSSs regarding their ability to discriminate patients with severe CAD. Method A total of 414 patients (297 men; 61.3±12.3 years of age) undergoing coronary angiography were enrolled and evaluated for major risk factors. Cardiovascular risk and risk category were defined for each patient using the Framingham, Systemic Coronary Risk Evaluation (SCORE), and Pooled Cohort Risk Assessment Equation (PCRAE) tools. Severe CAD was defined as ≥ 50% stenosis in at least one major coronary artery and/or previous coronary stenting or coronary artery bypass grafting. A p < 0.05 was considered statistically significant. Results Severe CAD was identified in 271 (65.4%) patients. The ROC curves of the 3 CRSSs for predicting severe CAD were compared and showed no significant difference: the area under the ROC curve was 0.727, 0.694, and 0.717 for the Framingham, SCORE, and PCRAE tools, respectively (p > 0.05). However, when individual patients were classified as having low, intermediate, or high cardiovascular risk, the rate of patients in the high-risk group was significantly different between the PCRAE, Framingham, and SCORE tools (73.4%, 27.5%, and 37.9%, respectively; p < 0.001). Discussion PCRAE had higher positive and negative predictive values for detecting severe CAD in high-risk patients than the Framingham and SCORE tools. Conclusion We can speculate that currently used CRSSs are not sufficient, and new scoring systems are needed. In addition, other risk factors, such as serum creatinine, should be considered in future CRSSs. Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0
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spelling The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary AtherosclerosisCardiovascular DiseasesCoronary Artery DiseasesRisk FactorsAtherosclerosisEpidemiologyCoronary AngiographyDiabetes MellitusHypertensionRenal InsufficiencyHeredityAbstract Background Comparative data on the performance of cardiovascular risk scoring systems (CRSSs) in patients with severe coronary artery disease (CAD) are lacking. Objectives To compare different CRSSs regarding their ability to discriminate patients with severe CAD. Method A total of 414 patients (297 men; 61.3±12.3 years of age) undergoing coronary angiography were enrolled and evaluated for major risk factors. Cardiovascular risk and risk category were defined for each patient using the Framingham, Systemic Coronary Risk Evaluation (SCORE), and Pooled Cohort Risk Assessment Equation (PCRAE) tools. Severe CAD was defined as ≥ 50% stenosis in at least one major coronary artery and/or previous coronary stenting or coronary artery bypass grafting. A p < 0.05 was considered statistically significant. Results Severe CAD was identified in 271 (65.4%) patients. The ROC curves of the 3 CRSSs for predicting severe CAD were compared and showed no significant difference: the area under the ROC curve was 0.727, 0.694, and 0.717 for the Framingham, SCORE, and PCRAE tools, respectively (p > 0.05). However, when individual patients were classified as having low, intermediate, or high cardiovascular risk, the rate of patients in the high-risk group was significantly different between the PCRAE, Framingham, and SCORE tools (73.4%, 27.5%, and 37.9%, respectively; p < 0.001). Discussion PCRAE had higher positive and negative predictive values for detecting severe CAD in high-risk patients than the Framingham and SCORE tools. Conclusion We can speculate that currently used CRSSs are not sufficient, and new scoring systems are needed. In addition, other risk factors, such as serum creatinine, should be considered in future CRSSs. Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0Sociedade Brasileira de Cardiologia2021-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472021000100032International Journal of Cardiovascular Sciences v.34 n.1 2021reponame:International Journal of Cardiovascular Sciences (Online)instname:Sociedade Brasileira de Cardiologia (SBC)instacron:SBC10.36660/ijcs.20190134info:eu-repo/semantics/openAccessGormel,SuatYuksel,Uygar CagdasCelik,MuratYasar,SalimYildirim,ErkanBugan,BarisGokoglan,YalcinKabul,Hasan KutsiYasar,SalimKöklü,MustafaBarçın,Cemeng2022-02-02T00:00:00Zoai:scielo:S2359-56472021000100032Revistahttp://publicacoes.cardiol.br/portal/ijcshttps://old.scielo.br/oai/scielo-oai.phptailanerodrigues@cardiol.br||revistaijcs@cardiol.br2359-56472359-4802opendoar:2022-02-02T00:00International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC)false
dc.title.none.fl_str_mv The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis
title The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis
spellingShingle The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis
Gormel,Suat
Cardiovascular Diseases
Coronary Artery Diseases
Risk Factors
Atherosclerosis
Epidemiology
Coronary Angiography
Diabetes Mellitus
Hypertension
Renal Insufficiency
Heredity
title_short The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis
title_full The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis
title_fullStr The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis
title_full_unstemmed The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis
title_sort The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis
author Gormel,Suat
author_facet Gormel,Suat
Yuksel,Uygar Cagdas
Celik,Murat
Yasar,Salim
Yildirim,Erkan
Bugan,Baris
Gokoglan,Yalcin
Kabul,Hasan Kutsi
Köklü,Mustafa
Barçın,Cem
author_role author
author2 Yuksel,Uygar Cagdas
Celik,Murat
Yasar,Salim
Yildirim,Erkan
Bugan,Baris
Gokoglan,Yalcin
Kabul,Hasan Kutsi
Köklü,Mustafa
Barçın,Cem
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gormel,Suat
Yuksel,Uygar Cagdas
Celik,Murat
Yasar,Salim
Yildirim,Erkan
Bugan,Baris
Gokoglan,Yalcin
Kabul,Hasan Kutsi
Yasar,Salim
Köklü,Mustafa
Barçın,Cem
dc.subject.por.fl_str_mv Cardiovascular Diseases
Coronary Artery Diseases
Risk Factors
Atherosclerosis
Epidemiology
Coronary Angiography
Diabetes Mellitus
Hypertension
Renal Insufficiency
Heredity
topic Cardiovascular Diseases
Coronary Artery Diseases
Risk Factors
Atherosclerosis
Epidemiology
Coronary Angiography
Diabetes Mellitus
Hypertension
Renal Insufficiency
Heredity
description Abstract Background Comparative data on the performance of cardiovascular risk scoring systems (CRSSs) in patients with severe coronary artery disease (CAD) are lacking. Objectives To compare different CRSSs regarding their ability to discriminate patients with severe CAD. Method A total of 414 patients (297 men; 61.3±12.3 years of age) undergoing coronary angiography were enrolled and evaluated for major risk factors. Cardiovascular risk and risk category were defined for each patient using the Framingham, Systemic Coronary Risk Evaluation (SCORE), and Pooled Cohort Risk Assessment Equation (PCRAE) tools. Severe CAD was defined as ≥ 50% stenosis in at least one major coronary artery and/or previous coronary stenting or coronary artery bypass grafting. A p < 0.05 was considered statistically significant. Results Severe CAD was identified in 271 (65.4%) patients. The ROC curves of the 3 CRSSs for predicting severe CAD were compared and showed no significant difference: the area under the ROC curve was 0.727, 0.694, and 0.717 for the Framingham, SCORE, and PCRAE tools, respectively (p > 0.05). However, when individual patients were classified as having low, intermediate, or high cardiovascular risk, the rate of patients in the high-risk group was significantly different between the PCRAE, Framingham, and SCORE tools (73.4%, 27.5%, and 37.9%, respectively; p < 0.001). Discussion PCRAE had higher positive and negative predictive values for detecting severe CAD in high-risk patients than the Framingham and SCORE tools. Conclusion We can speculate that currently used CRSSs are not sufficient, and new scoring systems are needed. In addition, other risk factors, such as serum creatinine, should be considered in future CRSSs. Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0
publishDate 2021
dc.date.none.fl_str_mv 2021-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472021000100032
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472021000100032
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.36660/ijcs.20190134
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Cardiologia
publisher.none.fl_str_mv Sociedade Brasileira de Cardiologia
dc.source.none.fl_str_mv International Journal of Cardiovascular Sciences v.34 n.1 2021
reponame:International Journal of Cardiovascular Sciences (Online)
instname:Sociedade Brasileira de Cardiologia (SBC)
instacron:SBC
instname_str Sociedade Brasileira de Cardiologia (SBC)
instacron_str SBC
institution SBC
reponame_str International Journal of Cardiovascular Sciences (Online)
collection International Journal of Cardiovascular Sciences (Online)
repository.name.fl_str_mv International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC)
repository.mail.fl_str_mv tailanerodrigues@cardiol.br||revistaijcs@cardiol.br
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