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    李迎宾, 李胜开. 慢性肾脏病患者中平均血小板体积/淋巴细胞比值与冠状动脉病变程度的临床应用价值[J]. 临床肾脏病杂志, 2022, 22(5): 365-369. DOI: 10.3969/j.issn.1671-2390.2022.05.003
    引用本文: 李迎宾, 李胜开. 慢性肾脏病患者中平均血小板体积/淋巴细胞比值与冠状动脉病变程度的临床应用价值[J]. 临床肾脏病杂志, 2022, 22(5): 365-369. DOI: 10.3969/j.issn.1671-2390.2022.05.003
    Li Ying-bin, Li Sheng-kai. Clinical value of mean platelet volume/lymphocyte ratio and degree of coronary artery disease in patients with chronic kidney disease[J]. Journal of Clinical Nephrology, 2022, 22(5): 365-369. DOI: 10.3969/j.issn.1671-2390.2022.05.003
    Citation: Li Ying-bin, Li Sheng-kai. Clinical value of mean platelet volume/lymphocyte ratio and degree of coronary artery disease in patients with chronic kidney disease[J]. Journal of Clinical Nephrology, 2022, 22(5): 365-369. DOI: 10.3969/j.issn.1671-2390.2022.05.003

    慢性肾脏病患者中平均血小板体积/淋巴细胞比值与冠状动脉病变程度的临床应用价值

    Clinical value of mean platelet volume/lymphocyte ratio and degree of coronary artery disease in patients with chronic kidney disease

    • 摘要: 目的 探讨慢性肾脏病患者中平均血小板体积/淋巴细胞比值(mean platelet volumeto lymphocyte ratio,MPVLR)与冠状动脉病变程度的关系及其临床意义。方法 回顾性分析近6年来于徐州医科大学附属医院确诊慢性肾脏病并完善冠状动脉造影的111例患者的临床资料。采用Gensini积分评估冠状动脉病变程度,将资料分为3组,A组(轻度,29例) 0~30分; B组(中度,23例)31~60分,C组(重度,59例) >60分。首先通过单因素分析得出影响冠状动脉病变的相关因素,在此基础上采用有序Logistic回归分析明确危险因素和保护因素,最后采用受试者操作特征曲线判断其预测价值。结果 单因素分析显示,3组患者的一般资料差异无统计学意义(P>0.05),实验室指标中的白蛋白、尿酸、高密度脂蛋白胆固醇(high density lipoprotein-cholesterol,HDL-C)、MPVLR差异有统计学意义(P<0.05)。高水平MPVLR是高Gensini积分的独立危险因素(OR=1.115,95% CI 1.009~1.239,P=0.047),HDL-C是其保护因素。结论 慢性肾脏病患者中,高MPVLR是冠脉病变程度严重的独立危险因素,同时具有预测冠脉病变程度的应用价值。

       

      Abstract: Objective To investigate the relationship between mean platelet volume to lymphocyte ratio(MPVLR) and the degree of coronary artery disease in patients with chronic kidney disease (CKD) and its clinical significance. Methods The clinical data of 111 patients with chronic kidney disease diagnosed by coronary angiography in our affiliated hospital in recent 6 years were analyzed retrospectively. The Gensini scoring was used to assess the severity of coronary artery disease. The data were divided into three groups:group A(mild, 29 cases) had 0-30 points; Group B(moderate, 23 cases) had 31-60 points, and group C(severe, 59 cases) had >60 points. First, the related factors affecting coronary artery disease were analyzed by univariate analysis. On this basis, the risk factors and protective factors were determined by Logistic regression analysis. Finally, the predictive value was determined by ROC curve. Results Univariate analysis showed that there was no significant difference in general data among the 3 groups(P>0.05), but there were significant differences in laboratory indicators such as albumin, uric acid, high density lipoprotein cholesterol(HDL-C) and MPVLR(P<0.05). High MPVLR level was an independent risk factor for high Gensini integration(OR=1.115, 95% CI 1.009-1.239, P=0.047), and HDL-C was a protective factor. Conclusions In patients with chronic kidney disease, high MPVLR is an independent risk factor for the severity of coronary artery disease, and has the application value in predicting the severity of coronary artery disease.

       

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