Affiliations 

  • 1 Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Pathology, 43400, Serdang, Selangor, Malaysia. sitiyazmin@upm.edu.my
Malays J Pathol, 2021 04;43(1):33-40.
PMID: 33903303

Abstract

INTRODUCTION: Cardiovascular disease (CVD) remains the leading cause of death in Malaysia. Identification of asymptomatic at-risk individuals is often achieved by means of a risk prediction algorithm. Traditional CVD risk factors and their associated algorithms are, however, limited by residual CVD risk. High sensitivity C-reactive protein (hsCRP) has emerged as a novel CVD risk factor. This study aimed to evaluate hsCRP as an adjunct CVD risk marker among the adult Malaysian population by determining its correlation with the Framingham Risk Score (FRS). Comparison analyses were done according to sociodemographic, clinical and laboratory factors and between subjects with and without Metabolic Syndrome (MetS).

METHOD: This cross-sectional study involved eighty-three (n=83) adults attending a health screening program at Universiti Putra Malaysia (UPM). Demographic data, anthropometric measurements and blood samples for fasting blood glucose (FBG), fasting lipid profile (FSL), glycated haemoglobin (HbA1c) and hsCRP were taken. Respondents were grouped according to FRS and the Joint Interim Statement into 10-year CVD risk categories (low, intermediate and high) and MetS, respectively.

RESULTS: hsCRP was significantly increased in patients with high body mass index (BMI) (p=0.001), at-risk waist circumference (WC) (p=0.001) and MetS (p=0.009). Spearman's correlation coefficient showed a significant positive correlation between hsCRP level and total FRS score (r=0.26, p<0.05) and HDL-C score (r=0.22, p<0.05).

CONCLUSION: The significant difference of hsCRP levels across obesity levels and MetS with its modest correlation with FRS scores supported the adjunctive role of hsCRP in CVD risk prediction, most likely capturing the inflammatory pathological aspect and thus partly accounting for the residual CVD risk.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.