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Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
High sensitivity C-reactive protein (hsCRP): Its relationship with metabolic syndrome and Framingham Risk Score
S Y Zahari Sham1, E Hanif, S C Thambiah
1Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Pathology, 43400, Serdang, Selangor, Malaysia. sitiyazmin@upm.edu.my.
Insights
High-sensitivity C-reactive protein (hsCRP) may help predict cardiovascular disease (CVD) risk in Malaysia. Elevated hsCRP levels correlate with obesity and metabolic syndrome, offering a potential adjunct to traditional risk scores.
Area of Science:
- Biomedical Science
- Cardiology
- Public Health
Background:
- Cardiovascular disease (CVD) is the leading cause of mortality in Malaysia.
- Traditional CVD risk prediction algorithms have limitations due to residual risk.
- High-sensitivity C-reactive protein (hsCRP) is recognized as a novel CVD risk factor.
Purpose of the Study:
- To evaluate hsCRP as an adjunct CVD risk marker in the Malaysian adult population.
- To determine the correlation between hsCRP levels and the Framingham Risk Score (FRS).
- To compare hsCRP levels based on sociodemographic, clinical, and laboratory factors, including Metabolic Syndrome (MetS).
Main Methods:
- A cross-sectional study of 83 adults undergoing health screening at Universiti Putra Malaysia (UPM).
- Data collected included demographics, anthropometrics, fasting blood glucose (FBG), fasting lipid profile (FSL), glycated haemoglobin (HbA1c), and hsCRP.
- Participants were categorized by 10-year CVD risk (low, intermediate, high) using FRS and by MetS status.
Main Results:
- hsCRP levels were significantly higher in individuals with high body mass index (BMI), at-risk waist circumference (WC), and MetS (p<0.01).
- A significant positive correlation was observed between hsCRP levels and total FRS score (r=0.26, p<0.05) and HDL-C score (r=0.22, p<0.05).
Conclusions:
- Elevated hsCRP levels associated with obesity and MetS support its role as an adjunct marker for CVD risk prediction.
- hsCRP may capture inflammatory aspects of CVD pathophysiology, potentially addressing residual risk.
- This highlights the utility of hsCRP in refining CVD risk assessment in the Malaysian population.
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.
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