关键词: BMI, body mass index Community-based Cr, creatinine DBP, diastolic blood pressure FBG, fasting blood glucose Follow-up HDL-C, high-density lipoprotein cholesterol LDL-C, low-density lipoprotein cholesterol MetS, metabolic syndrome OR, odds ratio PWV, pulse-wave velocity Peripheral arterial stiffness SBP, systolic blood pressure UA, uric acid Uric acid, risk factor cr-PWV, carotid-radial PWV

来  源:   DOI:10.1016/j.sjbs.2017.01.028   PDF(Sci-hub)

Abstract:
This prospective cohort study aimed at identifying association between uric acid (UA) and peripheral arterial stiffness. A prospective cohort longitudinal study was performed according to an average of 4.8 years\' follow-up. The demographic data, anthropometric parameters, peripheral arterial stiffness (carotid-radial pulse-wave velocity, cr-PWV) and biomarker variables including UA were examined at both baseline and follow-up. Pearson\'s correlations were used to identify the associations between UA and peripheral arterial stiffness. Further logistic regressions were employed to determine the associations between UA and arterial stiffness. At the end of follow-up, 1447 subjects were included in the analyses. At baseline, cr-PWV (r = 0.200, p < 0.001) was closely associated with UA. Furthermore, the follow-up cr-PWV (r = 0.145, p < 0.001) was also strongly correlated to baseline UA in Pearson\'s correlation analysis. Multiple regressions also indicated the association between follow-up cr-PWV (β = 0.493, p = 0.013) and baseline UA level. Logistic regressions revealed that higher baseline UA level was an independent predictor of arterial stiffness severity assessed by cr-PWV at follow-up cross-section. Peripheral arterial stiffness is closely associated with higher baseline UA level. Furthermore, a higher baseline UA level is an independent risk factor and predictor for peripheral arterial stiffness.
摘要:
这项前瞻性队列研究旨在确定尿酸(UA)与外周动脉僵硬度之间的关系。根据平均4.8年的随访进行前瞻性队列纵向研究。人口统计数据,人体测量参数,外周动脉僵硬度(颈动脉-桡动脉脉搏波速度,在基线和随访时检查cr-PWV)和包括UA在内的生物标志物变量。Pearson的相关性用于确定UA和外周动脉僵硬度之间的关联。采用进一步的逻辑回归来确定UA和动脉僵硬度之间的关联。在后续行动结束时,1447名受试者被包括在分析中。在基线,cr-PWV(r=0.200,p<0.001)与UA密切相关。此外,在Pearson相关分析中,随访cr-PWV(r=0.145,p<0.001)也与基线UA密切相关.多元回归还表明随访cr-PWV(β=0.493,p=0.013)与基线UA水平之间存在关联。Logistic回归显示,较高的基线UA水平是cr-PWV在随访横断面评估的动脉僵硬度的独立预测因子。外周动脉僵硬度与较高的基线UA水平密切相关。此外,较高的UA基线水平是外周动脉僵硬度的独立危险因素和预测因子.
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