服用氯吡格雷后心肌梗死第1-2天血小板残余反应性高低的决定因素

T. P. Pronko, V. A. Snezhitskiy, A. V. Kapytski
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引用次数: 0

摘要

该研究的目的是确定在心肌梗死(MI)第1-2天服用氯吡格雷的患者血小板反应性高低的临床和实验室因素。材料和方法。共检查405例心肌梗死患者(男性322例,女性83例),年龄31 ~ 74岁。1组低残留血小板反应性(LRPR)患者89人,2组最佳残留血小板反应性(OPR)患者223人,3组高残留血小板反应性(HRPR)患者93人。血小板聚集是在多板阻抗聚集计(德国)上评估的,有几个聚集诱导剂。在自动血液学分析仪Sysmex XS-500i(日本)上采用细胞流法进行血液检测和血小板形态计量参数研究。140例患者进行可溶性CD40配体(sСD40L)和sp -选择素水平的研究,150例患者在Sunrise酶免疫分析仪(TECAN,奥地利)上使用Fine Biotech试剂盒(中国)评估血管性血友病因子(VWF)和内皮素-1水平。所有的研究都是在心肌梗死第1-2天入院时进行的(在给予负荷剂量氯吡格雷后至少12小时)。结果。单向线性回归分析确定了以下因素独立影响adp测试值:年龄(β=-0.21, 95% CI: -0.42 - -0.0095;p = 0.04);总胆固醇(β=1.4, 95% CI: 0.26-2.56;p = 0.04);白细胞计数(β= 0.57, 95% CI: 0.003-1.14;p = 0.049);血红蛋白(β=-0.16, 95% CI: -0.27 ~ -0.044;p = 0.0067);血小板计数(β=1.4, 95% CI: 0.26 - 2.56;p = 0.04);PCT (β=76.8, 95% ci: 41.5 - 112.1;p = 0.000024);trap检验(β=0.4, 95% CI: 0.33-0.46;术中,0.000001);Cd40l (β=0.044, 95% ci: 0.013-0.074;p = 0.005);sP-selectin (β=2.3, 95% CI: 0.63 - 3.97;p = 0.007);VWF (β=0.06, 95% ci: 0.016 ~ 0.11;p = 0.0085)。为了确定HRPR发生的概率,我们根据398例患者的年龄、白细胞计数、平均血小板体积(MPV)、血小板分布宽度(PDW)值、trap试验结果、肌酐水平等观察数据,构建二元logistic回归模型。在概率截止点p=0.4746时,构建的模型灵敏度为74.2%,特异性为74.1%,分类准确率为74.1%,roc曲线下面积为0.795 (CI: 0.745 ~ 0.844)。为了确定LRPR发生的概率,基于143例患者的观察数据,包括白细胞数量、MPV和trap测试值、纤维蛋白原和VWF水平,构建二元logistic回归模型。在概率截断p=0.5589的条件下,该模型的敏感性为84.6%,特异性为77.8%,分类准确率为79.0%,roc曲线下面积为0.826 (CI: 0.747 ~ 0.905)。结论。在心肌梗死的第1-2天,22%的患者对氯吡格雷反应过度,23%的患者对氯吡格雷反应不足。HRPR的决定因素有年龄、白细胞计数、MPV、PDW、trap试验和肌酐水平。LRPR的决定因素是白细胞计数、MPV值、自发血小板聚集(通过trap试验检测)、纤维蛋白原水平和VWF。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DETERMINANTS OF HIGH AND LOW PLATELET RESIDUAL REACTIVITY ON DAY 1-2 OF MYOCARDIAL INFARCTION WHEN TAKING CLOPIDOGREL
The aim of the study was to determine the clinical and laboratory factors that determine high and low platelet reactivity in patients taking clopidogrel on day 1-2 of myocardial infarction (MI). Material and Methods. A total of 405 patients (322 men and 83 women) with MI aged 31 to 74 years were examined. Group 1 included patients with low residual platelet reactivity (LRPR) – 89 people, group 2 consisted of patients with optimal platelet reactivity (OPR) – 223 people, group 3 was composed of patients with high residual platelet reactivity (HRPR) – 93 people. Platelet aggregation was assessed on a Multiplate impedance aggregometer (Germany) with several aggregation inducers. A blood test and a study of morphometric parameters of platelets were performed by the cytoflow method on an automated hematology analyzer Sysmex XS-500i (Japan). The study of the level of soluble CD40 ligand (sСD40L) and sP-selectin was performed in 140 patients, von Willebrand factor (VWF) and endothelin-1 were assessed in 150 people on the enzyme immunoassay analyzer Sunrise (TECAN, Austria) using Fine Biotech kits (China). All studies were performed upon admission to the hospital on day 1-2 of MI (at least 12 hours after the administration of a loading dose of clopidogrel). Results. A one-way linear regression analysis identified the following factors that independently affect the value of the ADP-test: age (β=-0.21, 95% CI: -0.42 – -0.0095; p=0.04); total cholesterol (β=1.4, 95% CI: 0.26–2.56; p=0.04); white blood cell count (β= 0.57, 95% CI: 0.003–1.14; p=0.049); hemoglobin (β=-0.16, 95% CI: -0.27 – -0.044; p=0.0067); platelet count (β=1.4, 95% CI: 0.26 – 2.56; p=0.04); PCT (β=76.8, 95% CI: 41.5 – 112.1; p=0.000024); TRAP-test (β=0.4, 95% CI: 0.33–0.46; p<0.000001); CD40L (β=0.044, 95% CI: 0.013–0.074; p=0.005); sP-selectin (β=2.3, 95% CI: 0.63 – 3.97; p=0.007); VWF (β=0.06, 95% CI: 0.016 – 0.11; p=0.0085). To determine the probability of HRPR developing a binary logistic regression model was constructed based on the observational data of a sample of 398 patients, which included the following indicators: age, white blood cell count, mean platelet volume (MPV) and platelet distribution width (PDW) values, results of TRAP-test and the level of creatinine. At the probability cut-off p=0.4746, the sensitivity of the constructed model was 74.2%, specificity - 74.1%, classification accuracy – 74.1%, the area under the ROC-curve – 0.795 (CI: 0.745 – 0.844). To determine the probability of developing LRPR, a binary logistic regression model was constructed based on the observational data of 143 patients, which included the following indicators: the number of leukocytes, MPV and TRAP-test values, fibrinogen and VWF levels. With a probability cut-off p=0.5589, the sensitivity of this model was 84.6%, specificity – 77.8%, classification accuracy – 79.0%, the area under the ROC-curve – 0.826 (CI: 0.747 – 0.905). Conclusion. On days 1-2 of MI, 22% of patients with an excessive response to clopidogrel and 23% with an insufficient response to clopidogrel were identified. The determinants of HRPR are age, white blood cell count, MPV, PDW, TRAP-test and creatinine levels. The determinants of LRPR are white blood cell count, MPV values, spontaneous platelet aggregation, detected by the TRAP-test, the level of fibrinogen and VWF.
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