High sensitivity C-reactive protein (hsCRP): Its relationship with metabolic symdrome and Framingham Risk Score

被引:0
作者
Sham, Siti Yazmin Zahari [1 ]
Hanif, Evana [1 ]
Thambiah, Subashini C. [1 ]
Samsudin, Intan Nureslyna [1 ]
Noor, Sabariah Mohd [1 ]
Osman, Malina [2 ]
Abdullah, Hafizah [3 ]
Mustaffa, Khadhijah [1 ]
机构
[1] Univ Putra Malaysia, Fac Med & Hlth Sci, Dept Pathol, Serdang 43400, Selangor, Malaysia
[2] Univ Putra Malaysia, Fac Med & Hlth Sci, Dept Med Microbiol & Parasitol, Serdang 43400, Selangor, Malaysia
[3] Hosp Kuala Lumpur, Dept Pathol, Jalan Pahang, Kuala Lumpur 50586, Malaysia
关键词
High sensitivity C-reactive protein (hsCRP); Crdiovascular disease (CVD); Framingham Risk Score (FRS); Metabolic Syndrome (MetS); CORONARY-HEART-DISEASE; BODY-MASS INDEX; CARDIOVASCULAR-DISEASE; STATIN THERAPY; INFLAMMATION; CHOLESTEROL; PREDICTION; EVENTS; PREVENTION; OUTCOMES;
D O I
暂无
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
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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页码:33 / 40
页数:8
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