Cited 103 times in
Multimarker prediction of coronary heart disease risk: the Women's Health Initiative
DC Field | Value | Language |
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dc.contributor.author | 김현창 | - |
dc.date.accessioned | 2015-04-23T16:35:28Z | - |
dc.date.available | 2015-04-23T16:35:28Z | - |
dc.date.issued | 2010 | - |
dc.identifier.issn | 0735-1097 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/100861 | - |
dc.description.abstract | OBJECTIVES: The aim of this study was to investigate whether multiple biomarkers contribute to improved coronary heart disease (CHD) risk prediction in post-menopausal women compared with assessment using traditional risk factors (TRFs) only. BACKGROUND: The utility of newer biomarkers remains uncertain when added to predictive models using only TRFs for CHD risk assessment. METHODS: The Women's Health Initiative Hormone Trials enrolled 27,347 post-menopausal women ages 50 to 79 years. Associations of TRFs and 18 biomarkers were assessed in a nested case-control study including 321 patients with CHD and 743 controls. Four prediction equations for 5-year CHD risk were compared: 2 Framingham risk score covariate models; a TRF model including statin treatment, hormone treatment, and cardiovascular disease history as well as the Framingham risk score covariates; and an additional biomarker model that additionally included the 5 significantly associated markers of the 18 tested (interleukin-6, d-dimer, coagulation factor VIII, von Willebrand factor, and homocysteine). RESULTS: The TRF model showed an improved C-statistic (0.729 vs. 0.699, p = 0.001) and net reclassification improvement (6.42%) compared with the Framingham risk score model. The additional biomarker model showed additional improvement in the C-statistic (0.751 vs. 0.729, p = 0.001) and net reclassification improvement (6.45%) compared with the TRF model. Predicted CHD risks on a continuous scale showed high agreement between the TRF and additional biomarker models (Spearman's coefficient = 0.918). Among the 18 biomarkers measured, C-reactive protein level did not significantly improve CHD prediction either alone or in combination with other biomarkers. CONCLUSIONS: Moderate improvement in CHD risk prediction was found when an 18-biomarker panel was added to predictive models using TRFs in post-menopausal women. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 2080~2091 | - |
dc.relation.isPartOf | JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Age Factors | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Biomarkers/blood | - |
dc.subject.MESH | Case-Control Studies | - |
dc.subject.MESH | Cohort Studies | - |
dc.subject.MESH | Coronary Disease/blood* | - |
dc.subject.MESH | Coronary Disease/diagnosis | - |
dc.subject.MESH | Coronary Disease/etiology* | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Logistic Models | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Postmenopause/blood | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | Sex Factors | - |
dc.title | Multimarker prediction of coronary heart disease risk: the Women's Health Initiative | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Preventive Medicine (예방의학) | - |
dc.contributor.googleauthor | Hyeon Chang Kim | - |
dc.contributor.googleauthor | Philip Greenland | - |
dc.contributor.googleauthor | Jacques E. Rossouw | - |
dc.contributor.googleauthor | JoAnn E. Manson | - |
dc.contributor.googleauthor | Barbara B. Cochrane | - |
dc.contributor.googleauthor | Norman L. Lasser | - |
dc.contributor.googleauthor | Marian C. Limacher | - |
dc.contributor.googleauthor | Donald M. Lloyd-Jones | - |
dc.contributor.googleauthor | Karen L. Margolis | - |
dc.contributor.googleauthor | Jennifer G. Robinson | - |
dc.identifier.doi | 10.1016/j.jacc.2009.12.047 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A01142 | - |
dc.relation.journalcode | J01770 | - |
dc.identifier.eissn | 1558-3597 | - |
dc.identifier.pmid | 20447530 | - |
dc.identifier.url | http://www.sciencedirect.com/science/article/pii/S0735109710009010 | - |
dc.subject.keyword | coronary heart disease | - |
dc.subject.keyword | prediction | - |
dc.subject.keyword | biomarker | - |
dc.contributor.alternativeName | Kim, Hyeon Chang | - |
dc.contributor.affiliatedAuthor | Kim, Hyeon Chang | - |
dc.citation.volume | 55 | - |
dc.citation.number | 19 | - |
dc.citation.startPage | 2080 | - |
dc.citation.endPage | 2091 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, Vol.55(19) : 2080-2091, 2010 | - |
dc.identifier.rimsid | 55267 | - |
dc.type.rims | ART | - |
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