陈林, 周菲, 李璐. 肱踝脉搏波速度测定在心血管病风险评估中的应用[J]. 心脏杂志, 2019, 31(2): 164-168. DOI: 10.12125/j.chj.201809001
    引用本文: 陈林, 周菲, 李璐. 肱踝脉搏波速度测定在心血管病风险评估中的应用[J]. 心脏杂志, 2019, 31(2): 164-168. DOI: 10.12125/j.chj.201809001
    Lin CHEN, Fei ZHOU, Lu LI. Application of brachial ankle pulse wave velocity in cardiovascular risk assessment[J]. Chinese Heart Journal, 2019, 31(2): 164-168. DOI: 10.12125/j.chj.201809001
    Citation: Lin CHEN, Fei ZHOU, Lu LI. Application of brachial ankle pulse wave velocity in cardiovascular risk assessment[J]. Chinese Heart Journal, 2019, 31(2): 164-168. DOI: 10.12125/j.chj.201809001

    肱踝脉搏波速度测定在心血管病风险评估中的应用

    Application of brachial ankle pulse wave velocity in cardiovascular risk assessment

    • 摘要:
        目的  探讨肱踝脉搏波速度(baPWV)与心血管病危险因素的相关性,以及在心血管病风险评估中的价值。
        方法  入选309例具有心血管病危险因素的患者,测量baPWV、身高、体质量、腰围、血压,检测血脂、血糖、尿酸、肌酐、血同型半胱氨酸等,收集临床资料,并进行Framingham风险评分(FRS)。比较高baPWV组(≥1750 cm/s)与低baPWV组(<1750 cm/s)心血管病危险因素的差异。分析baPWV与心血管危险因素积累和FRS之间的关系。
        结果  两组在年龄、甘油三酯、血糖、尿酸、收缩压、舒张压、脉压、高血压史、糖尿病史、心血管病家族史有统计学差异(均P<0.05),多因素Logistic回归分析显示主要影响因素为年龄(P<0.01)、收缩压(P=0.01)、高血压病(P<0.01)和心血管病家族史(P<0.05)。而且,随着心血管危险因素个数的积累,baPWV水平呈逐渐上升趋势(P<0.01)。随着FRS风险等级的增加,baPWV水平呈上升趋势(P<0.01)。
        结论  baPWV升高可能预示着心血管病危险因素累积个数增加和(或)心血管病风险升高。年龄、收缩压、高血压病史和心血管病家族史是影响baPWV的主要危险因素。

       

      Abstract:
        AIM  To investigate the correlation between brachial-ankle pulse wave velocity (baPWV) and cardiovascular risk factors and its value in cardiovascular risk assessment.
        METHODS  Three hundred and nine cases of patients with risk factors of cardiovascular disease were enrolled in the study. All the patients had physical examination and laboratorial checks. Their clinical data were collected and Framingham risk score (FRS) were calculated. The difference of cardiovascular risk factors between the high baPWV group (> 1750 cm/s) and the low baPWV group (< 1750 cm/s) was compared and the correlation between baPWV and cardiovascular risk factors and FRS was analyzed.
        RESULTS  The two groups were statistically different in age, triglyceride, blood sugar, uric acid, systolic pressure, diastolic pressure, pulse pressure, hypertension history, diabetes history and family history of cardiovascular disease (P < 0.05). Multivariate logistic regression analysis showed that the main risk factors for baPWV were age (P < 0.01), systolic blood pressure (P = 0.01), hypertension history (P < 0.01) and family history of cardiovascular disease (P < 0.05). Moreover, with the accumulation of cardiovascular risk factors, the level of baPWV increased gradually (P < 0.01). With the increase of FRS level, baPWV level showed an upward trend (P < 0.01).
        CONCLUSION  The increase of baPWV may indicate a cumulative increase in cardiovascular risk factors and/or a higher risk of cardiovascular disease. Age, systolic blood pressure, history of hypertension and family history of cardiovascular disease are the major risk factors for baPWV.

       

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