Challenges in predicting risks of premature coronary artery disease (PCAD)

Muhammad Faizan A. Shukor, and Noor Akmal Shareela Ismail, and Wan Zurinah Wan Ngah, (2018) Challenges in predicting risks of premature coronary artery disease (PCAD). Sains Malaysiana, 47 (10). pp. 2543-2556. ISSN 0126-6039


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Coronary artery disease (CAD) predominantly manifests in older population above the age of 60 years old. The incidence of CAD in younger individuals has been reported and is called premature CAD (pCAD). The prevalence for pCAD in individuals below 45 years old is about 3-10% worldwide. Advances in risk prediction are of great importance as absolute values of risk factors sometimes correlate poorly with individuals. The measurement of traditional risk factors such as cholesterol level and blood pressure might be inadequate to predict risk for pCAD and therefore new biomarkers are required. The introduction of omics technology offers insight into the mechanism and interactions involved during disease progression and open the possibilities of discovering new biomarkers. Currently, new potential biomarkers for pCAD have been explored such as homocysteine, apolipoproteins, microRNAs and single nucleotide polymorphisms. In this review, we discussed the associated risk factors for pCAD, several reported and newly proposed biomarkers and their potential to be used clinically.

Item Type:Article
Keywords:Atherosclerosis; Biomarker; Premature coronary artery disease
Journal:Sains Malaysiana
ID Code:12525
Deposited By: ms aida -
Deposited On:24 Jan 2019 03:15
Last Modified:28 Jan 2019 21:41

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