Abstract
BACKGROUND: Conventional factors do not fully explain the distribution of cardiovascular outcomes. Biomarkers are known to participate in well-established pathways associated with cardiovascular disease, and may therefore provide further information over and above conventional risk factors. This study sought to determine whether individual and/or combined assessment of 9 biomarkers improved discrimination, calibration and reclassification of cardiovascular mortality.
METHODS: 3267 patients (2283 men), aged 18-95 years, at intermediate-to-high-risk of cardiovascular disease were followed in this prospective cohort study. Conventional risk factors and biomarkers were included based on forward and backward Cox proportional stepwise selection models.
RESULTS: During 10-years of follow-up, 546 fatal cardiovascular events occurred. Four biomarkers (interleukin-6, neutrophils, von Willebrand factor, and 25-hydroxyvitamin D) were retained during stepwise selection procedures for subsequent analyses. Simultaneous inclusion of these biomarkers significantly improved discrimination as measured by the C-index (0.78, P = 0.0001), and integrated discrimination improvement (0.0219, P<0.0001). Collectively, these biomarkers improved net reclassification for cardiovascular death by 10.6% (P<0.0001) when added to the conventional risk model.
CONCLUSIONS: In terms of adverse cardiovascular prognosis, a biomarker panel consisting of interleukin-6, neutrophils, von Willebrand factor, and 25-hydroxyvitamin D offered significant incremental value beyond that conveyed by simple conventional risk factors.
Original language | English |
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Pages (from-to) | 2609-15 |
Number of pages | 7 |
Journal | International Journal of Cardiology |
Volume | 168 |
Issue number | 3 |
DOIs | |
Publication status | Published - 3 Oct 2013 |
Bibliographical note
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.Keywords
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Biological Markers
- Cardiovascular Diseases
- Coronary Angiography
- Female
- Humans
- Male
- Middle Aged
- Predictive Value of Tests
- Prospective Studies
- Risk Assessment
- Risk Factors
- Time Factors
- Young Adult