The additive value of multiple biomarkers in prediction of premature coronary artery disease

Sungsoo Cho, Sang Hak Lee, Sungha Park, Sun Ha Jee, Myeongki Hong, Namsik Chung, Seung Yun Cho, Yangsoo Jang

Research output: Contribution to journalArticle

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Abstract

Objective The aim of this study was to determine the value of additional multiple biomarkers in the prediction of premature coronary artery disease (CAD). Methods and results Data from 503 CAD patients and 503 healthy control patients with matching age and sex were collected. The patient group consisted of male (25 to 55 years) and female (30 to 60 years) patients with documented angiographic multi-vessel CAD. Baseline characteristics of conventional risk factors and biomarkers were collected. We compared the conventional risk factors model with the model with six additional biomarkers (hs-CRP, IL-6, RAGE, Lp-LPA2, adiponectin, and RANTES), which have shown signifi cant association with premature CAD. We also evaluated the effects of adding each of the six biomarkers to the conventional laboratory data. The additional biomarkers model resulted in improvements in the C-statistic (0.953 vs 0.937, P = 0.0003) in comparison with the conventional risk factors model. Among the 6 biomarkers added to the patient group, hs-CRP and IL-6 had a signifi cant discriminative power to predict the risk of premature CAD (hs-CRP; P = 0.0005, IL-6; P = 0.003). Conclusions Although conventional risk factors were more strongly associated with premature CAD than were biomarkers, adding the 6 biomark-ers (hs-CRP, IL-6, RAGE, Lp-LPA2, adiponectin, and RANTES) improved the prediction of premature CAD moderately. We found that hs-CRP and IL-6 had shown a signifi cant contribution in the prediction of premature CAD.

Original languageEnglish
Pages (from-to)205-210
Number of pages6
JournalActa Cardiologica
Volume70
Issue number2
DOIs
Publication statusPublished - 2015 Jan 1

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Coronary Artery Disease
Biomarkers
Interleukin-6
Chemokine CCL5
Adiponectin

All Science Journal Classification (ASJC) codes

  • Cardiology and Cardiovascular Medicine

Cite this

Cho, Sungsoo ; Lee, Sang Hak ; Park, Sungha ; Jee, Sun Ha ; Hong, Myeongki ; Chung, Namsik ; Cho, Seung Yun ; Jang, Yangsoo. / The additive value of multiple biomarkers in prediction of premature coronary artery disease. In: Acta Cardiologica. 2015 ; Vol. 70, No. 2. pp. 205-210.
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abstract = "Objective The aim of this study was to determine the value of additional multiple biomarkers in the prediction of premature coronary artery disease (CAD). Methods and results Data from 503 CAD patients and 503 healthy control patients with matching age and sex were collected. The patient group consisted of male (25 to 55 years) and female (30 to 60 years) patients with documented angiographic multi-vessel CAD. Baseline characteristics of conventional risk factors and biomarkers were collected. We compared the conventional risk factors model with the model with six additional biomarkers (hs-CRP, IL-6, RAGE, Lp-LPA2, adiponectin, and RANTES), which have shown signifi cant association with premature CAD. We also evaluated the effects of adding each of the six biomarkers to the conventional laboratory data. The additional biomarkers model resulted in improvements in the C-statistic (0.953 vs 0.937, P = 0.0003) in comparison with the conventional risk factors model. Among the 6 biomarkers added to the patient group, hs-CRP and IL-6 had a signifi cant discriminative power to predict the risk of premature CAD (hs-CRP; P = 0.0005, IL-6; P = 0.003). Conclusions Although conventional risk factors were more strongly associated with premature CAD than were biomarkers, adding the 6 biomark-ers (hs-CRP, IL-6, RAGE, Lp-LPA2, adiponectin, and RANTES) improved the prediction of premature CAD moderately. We found that hs-CRP and IL-6 had shown a signifi cant contribution in the prediction of premature CAD.",
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The additive value of multiple biomarkers in prediction of premature coronary artery disease. / Cho, Sungsoo; Lee, Sang Hak; Park, Sungha; Jee, Sun Ha; Hong, Myeongki; Chung, Namsik; Cho, Seung Yun; Jang, Yangsoo.

In: Acta Cardiologica, Vol. 70, No. 2, 01.01.2015, p. 205-210.

Research output: Contribution to journalArticle

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AU - Lee, Sang Hak

AU - Park, Sungha

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AU - Cho, Seung Yun

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N2 - Objective The aim of this study was to determine the value of additional multiple biomarkers in the prediction of premature coronary artery disease (CAD). Methods and results Data from 503 CAD patients and 503 healthy control patients with matching age and sex were collected. The patient group consisted of male (25 to 55 years) and female (30 to 60 years) patients with documented angiographic multi-vessel CAD. Baseline characteristics of conventional risk factors and biomarkers were collected. We compared the conventional risk factors model with the model with six additional biomarkers (hs-CRP, IL-6, RAGE, Lp-LPA2, adiponectin, and RANTES), which have shown signifi cant association with premature CAD. We also evaluated the effects of adding each of the six biomarkers to the conventional laboratory data. The additional biomarkers model resulted in improvements in the C-statistic (0.953 vs 0.937, P = 0.0003) in comparison with the conventional risk factors model. Among the 6 biomarkers added to the patient group, hs-CRP and IL-6 had a signifi cant discriminative power to predict the risk of premature CAD (hs-CRP; P = 0.0005, IL-6; P = 0.003). Conclusions Although conventional risk factors were more strongly associated with premature CAD than were biomarkers, adding the 6 biomark-ers (hs-CRP, IL-6, RAGE, Lp-LPA2, adiponectin, and RANTES) improved the prediction of premature CAD moderately. We found that hs-CRP and IL-6 had shown a signifi cant contribution in the prediction of premature CAD.

AB - Objective The aim of this study was to determine the value of additional multiple biomarkers in the prediction of premature coronary artery disease (CAD). Methods and results Data from 503 CAD patients and 503 healthy control patients with matching age and sex were collected. The patient group consisted of male (25 to 55 years) and female (30 to 60 years) patients with documented angiographic multi-vessel CAD. Baseline characteristics of conventional risk factors and biomarkers were collected. We compared the conventional risk factors model with the model with six additional biomarkers (hs-CRP, IL-6, RAGE, Lp-LPA2, adiponectin, and RANTES), which have shown signifi cant association with premature CAD. We also evaluated the effects of adding each of the six biomarkers to the conventional laboratory data. The additional biomarkers model resulted in improvements in the C-statistic (0.953 vs 0.937, P = 0.0003) in comparison with the conventional risk factors model. Among the 6 biomarkers added to the patient group, hs-CRP and IL-6 had a signifi cant discriminative power to predict the risk of premature CAD (hs-CRP; P = 0.0005, IL-6; P = 0.003). Conclusions Although conventional risk factors were more strongly associated with premature CAD than were biomarkers, adding the 6 biomark-ers (hs-CRP, IL-6, RAGE, Lp-LPA2, adiponectin, and RANTES) improved the prediction of premature CAD moderately. We found that hs-CRP and IL-6 had shown a signifi cant contribution in the prediction of premature CAD.

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