The Study Of Atherosclerosis Risk And Biomarkers In Individuals Undergoing Physical Examinations

Objective: To investigate the distribution characteristic and the risk factorscorrelated with brachia ankle pulse wave velocity (PWV) and ankle-brachial index (ABI)in individuals undergoing physical examination, to explore the application ofatherosclerosis risk assessment in physical examination.Methods: PWV and ABI were measured by using VP-1000(Japan, Omron), andtheir clinical data were collected by using the questionnaire integrated in the instrument.There were77395volunteers who accepted the physical examination in differenthealth management centers throughout the country from Jan1,2009to Dec31,2010.According to the study design, a total of46824populations, including24879men and21945women, aged20to97years, met the screening criteria for inclusion or exclusion.SPSS16.0software package was used for analysis. T-test, chi-square test andANOVA analysis were used for evaluating the difference among groups. The effects ofrisk factors on PWV and ABI were analysed by using multiple linear regression analysis.P <0.05was considered statistical significance.Results:1PWV increased with age in male and femal volunteers, and began toincrease sharply in those over55years of age.2PWV in men <60years was significantly higher than women, and lower thanwomen over60years of age (P <0.01).3Detection rates of PWV of>1400cm/s,>1700cm/s,>2000cm/s were34.5%,7.5%and1.9%, respectively.4Regression analyses showed that age, systolic blood pressure, heart rate, gender,mean arterial pressure and diastolic blood pressure were risk factors for PWV.5Detection rates of ABI of <0.9,<0.8,0.5-0.8,<0.5in right side were1.11%,0.36%,0.22%and0.14%, the left side were1.48%,0.51%,0.27%and0.24%, respectively.6Regression analyses showed that heart rate, age, body weight, mean arterialpressure, systolic blood pressure, gender, body mass index, height and diastolic bloodpressure were risk factors for ABI.Conclusion: PWV increase with age. Non-invasive technique for early detectionof arteriosclerosis, PWV and ABI, should be useful in physical examination andcardiovascular disease screening. Objective：To investigate the distribution characteristic of carotid atheroscleroticplaque and carotid intima-media thickness (IMT) in individuals undergoing physicalexamination, and to explore the relationship among high-sensitivity C-reactive protein(hs-CRP), oxidized Low-Density Lipoprotein (ox-LDL), homocysteine (Hcy), carotidatherosclerotic plaque and IMT in individuals undergoing physical examinations.Methods: There were571volunteers who accepted the physical examination intwo health management centers of PLA General Hospital from Jan1,2012to Apr30,2012. According to the study design, a total of300populations, which including186men and114women, aged24to76years, met the screening criteria for inclusionor exclusion.Clinical data and checkup, including age, gender, smoking history, drinkinghistory, height, weight, systolic blood pressure (SBP), diastolic blood pressure (DBP),pulse, electrocardiogram, chest X-ray, total cholesterol, triglycerides, low densitylipoprotein (LDL), high density lipoprotein (HDL), blood glucose and carotid arteryultrasound, were collected by the two centers. Hs-CRP, ox-LDL and Hcy weremeasured using enzyme-linked immunosorbent assay.Results:1Total prevalence of carotid atherosclerosis plaque was29.7%in allsubjects, were37.6%and16.7%in men and women, respectively. The men’s rate wassignificantly higher than women’s and increased with age in volunteers. There weresignificant differences in age, height, body weight, body mass index (BMI), SBP, DBP,LDL, HDL, IMT between plaque group and no plaque group.2IMT in volunteers was between0.35~2.45mm. Male IMT was higher thanfemal (0.72±0.22Vs0.64±0.14mm). The trend test showed IMT was increasedwith age.3ANOVA analysis showed that BMI, pulse pressure, HDL, glucose and IMTwere significantly different in different hs-CRP concentration. 4IMT had significant correlation with age, body weight, BMI, SBP, DBP, LDLand hs-CRP. Multiple linear regression analysis showed that IMT had correlation withage, gender and body weight.5Multiple linear regression analysis showed that hs-CRP was correlelated withBMI and IMT, Hcy was correlated with gender. There was no correlation amongox-LDL and other risk factors.Conclusion: Carotid IMT and prevalence of plaques increases with age, men’sIMT is higher than women’s. Hs-CRP has correlation with IMT and prevalence ofplaques. IMT and prevalence of plaques increase with hs-CRP concentration.