张岳飞, 陈意飞, 冷俊岭, 于博, 刘萍, 邹晓东. 血小板分布宽度对青年冠心病的预测价值[J]. 心脏杂志, 2021, 33(1): 57-60. DOI: 10.12125/j.chj.201903018
    引用本文: 张岳飞, 陈意飞, 冷俊岭, 于博, 刘萍, 邹晓东. 血小板分布宽度对青年冠心病的预测价值[J]. 心脏杂志, 2021, 33(1): 57-60. DOI: 10.12125/j.chj.201903018
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    Yue-fei ZHANG, Yi-fei CHEN, Jun-ling LENG, Bo YU, Ping LIU, Xiao-dong ZOU. Predictive value of platelet distribution width for coronary artery disease in young patients[J]. Chinese Heart Journal, 2021, 33(1): 57-60. DOI: 10.12125/j.chj.201903018
    Citation: Yue-fei ZHANG, Yi-fei CHEN, Jun-ling LENG, Bo YU, Ping LIU, Xiao-dong ZOU. Predictive value of platelet distribution width for coronary artery disease in young patients[J]. Chinese Heart Journal, 2021, 33(1): 57-60. DOI: 10.12125/j.chj.201903018
    shu

    血小板分布宽度对青年冠心病的预测价值

    Predictive value of platelet distribution width for coronary artery disease in young patients

      摘要
    • 摘要:
        目的   探讨血小板分布宽度(PDW)在青年冠心病人群中的分布特征及其与冠脉病变严重程度的关系，评价PDW对青年冠心病的预测价值。
        方法   收集扬州大学附属医院2018年10月至2019年10月连续住院的青年患者（年龄14～44岁）为研究对象，经冠脉造影（CAG）确诊冠心病组240例，除外冠心病88例为对照组。比较2组及青年冠心病各亚组间的PDW水平，分析PDW与冠脉病变严重程度(Gensini评分)的相关性及青年冠心病的独立危险因素。
        结果   青年冠心病组PDW水平明显高于对照组(P<0.05)，PDW在急性心肌梗死(AMI)、不稳定性心绞痛(UAP)和稳定性心绞痛(SAP)组均高于对照组(P<0.05)；青年冠心病组PDW与Gensini评分之间存在正相关(r=0.371，P<0.01)；多因素logistic回归分析显示PDW(OR=2.757，95%CI：2.117～3.590，P<0.01)是青年冠心病的独立危险因子，绘制ROC曲线分析，PDW预测青年冠心病的截断点为15.65%，ROC曲线下的面积为0.87（95%CI：0.826～0.914，P<0.01），敏感度84%，特异度82%。
        结论   PDW与青年冠心病的冠脉病变严重程度密切相关，是青年冠心病的独立危险因素，为青年冠心病的诊断提供一定预测价值。

       

      Abstract:
        AIM   To investigate the distribution of platelet distribution width (PDW) in young patients with coronary artery disease (CAD) and its relationship with the severity of coronary artery disease, and to evaluate the predictive value of PDW for young CAD patients.
        METHODS   Young patients (ages 14 to 44 years) admitted to the Department of Cardiology of our hospital from October 2018 to October 2019 were studied. All patients received coronary angiography (CAG) and they were divided into the CAD group (n=240) and the control group (n=88, without CAD). The PDW levels were compared between the two groups and the subgroups of CAD group. The correlation between PDW and severity of CAD (Gensini score) and independent risk factors for CAD were analyzed.
        RESULTS   PDW level in CAD group was significantly higher than that in the control group (P<0.05). PDW in acute myocardial infarction (AMI), unstable angina (UAP) and stable angina (SAP) groups was higher than the control group (P<0.05). There was a positive correlation between PDW and Gensini scores in CAD group (r=0.371, P<0.01). Multivariate logistic regression analysis showed PDW (OR=2.757, 95% CI: 2.117-3.590, P<0.01) was an independent risk factor for young CAD patients. The boundary value of PDW to predict CAD in young patients was 15.65%. The area under the ROC curve was 0.87 (95% CI: 0.826-0.914, P<0.01), sensitivity 84% and specificity 82%.
        CONCLUSION   PDW is closely related to the severity of coronary artery disease in young CAD patients. It is an independent risk factor for young CAD patients and is of predictive value for diagnosis of CAD in young patients.

       

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