The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , |
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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International Journal of Cardiovascular Sciences (Online) |
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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 |
format |
article |
status_str |
publishedVersion |
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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1754732626624643072 |