| What is the Role of Alternative Biomarkers for Coronary Heart Disease? | |
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MedLine Citation:
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PMID: 21521314 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Predictive models for future risk of coronary heart disease (CHD) based on traditional risk factors such as age, male gender, LDL-cholesterol, HDL-cholesterol, diabetes mellitus, hypertension, smoking and family history of premature CHD are quite robust but leave room for further improvement. Thus, efforts are being made to assess additional biomarkers for CHD such as lipoprotein (a), C-reactive protein, fibrinogen, lipoprotein- associated phospholipase A2, homocysteine, and others. However, none of the novel biomarkers has demonstrated improved prediction beyond traditional risk factor models in a consistent fashion across multiple cohorts. Many criteria have to be fulfilled before a biomarker can be considered clinically relevant. Another way is to develop new models predicting long-term or life-time risk of CHD. Further research using novel biomarkers and long-term predictive models has the potential to improve CHD risk prediction. |
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Authors:
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Abhimanyu Garg |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-3-16 |
Journal Detail:
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Title: Clinical endocrinology Volume: - ISSN: 1365-2265 ISO Abbreviation: - Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-4-27 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0346653 Medline TA: Clin Endocrinol (Oxf) Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Blackwell Publishing Ltd. |
Affiliation:
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Distinguished Chair in Human Nutrition Research Director, Lipid Clinic, Parkland Memorial Hospital and UT Southwestern Multispecialty Ambulatory Practice Chief, Division of Nutrition and Metabolic Diseases, Director, Metabolic Diseases, Center for Human Nutrition UT Southwestern Medical Center at Dallas Dallas, TX 75390. |
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