血浆的动脉粥样硬化指数使慢性骨髓增生性疾病的血栓形成倾向复杂化:一项回顾性队列研究

M. Karadeniz, Ozge Ozcan Abacioglu, Ü. Malkan, İ. C. Haznedaroğlu
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引用次数: 0

摘要

目的:慢性骨髓增生性疾病(CMPD)是导致高凝和血栓形成的肿瘤疾病。关键的止血异常包括血液粘度的改变和近期血栓史。本研究的目的是评估血浆粥样硬化指数(AIP)与JAK2 V617F突变的CMPD血栓栓塞之间的相互关系。方法:将92例诊断为CMPD的JAK2 V617F突变患者和73例对照组纳入研究。评估患者是否存在任何静脉或动脉血栓栓塞事件。AIP由血清甘油三酯和高密度脂蛋白值的log (Tg/HDL)公式计算。结果:研究组包括30例髓纤维化(MF)患者(33%),42例真性红细胞增多症(PV)患者(46%)和20例原发性血小板增多症(ET)患者(21%)。两个研究组在性别、年龄及其他合并症方面相似(p > 0.05)。CMPD组右血细胞计数(RBC)、红细胞分布宽度(RDW)、血小板(PLT)、血容(Hct)和AIP水平均较高。单因素和多因素logistic回归分析显示,血小板计数、RBC和AIP是两组患者血栓形成的独立预测因子。ROC曲线分析比较表明,AIP对血栓形成的预测优于血小板计数和RBC。结论:AIP可用于判断慢性阻塞性肺疾病患者血栓栓塞的高危性。作为一种可靠且“易于评估”的诊断工具,AIP可用于确定CMPD临床生物学病程中的血栓形成事件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The atherogenic index of plasma complicates the thrombotic tendency of chronic myeloproliferative disorders: A retrospective cohort study
Objectives: Chronic myeloproliferative diseases (CMPD) are neoplastic disorders leading to hypercoagulability and thrombosis. The critical hemostatic abnormalities include alterations in the blood viscosity and a history of recent thrombus. The aim of this study is to assess the interrelationships among the atherogenic index of plasma (AIP) and thromboembolism of CMPD with JAK2 V617F mutation. Methods: Ninety-two patients diagnosed as CMPD with JAK2 V617F mutation and 73 controls were included into the study. The patients were evaluated for the presence of any venous or arterial thromboembolic events. AIP was calculated by using the formula log (Tg/HDL) from serum triglyceride and high-density lipoprotein values. Results: The study group consisted of 30 patients (33%) with myelofibrosis (MF), 42 patients (46%) with polycythemia vera (PV) and 20 patients (21%) with essential thrombocythemia (ET). Two study groups were similar in terms of sex, age and other comorbidities (p > 0.05). CMPD group had higher levels of right blood cell count (RBC), red blood cell distribution width (RDW), platelets (PLT), hemotocrit (Hct) and AIP. Univariate and multivariate logistic regression analysis revealed that platelet count, RBC and AIP were independent predictors for thrombosis in both groups. The comparison of ROC curve analysis disclosed that AIP was superior to platelet count and RBC in predicting thrombosis. Conclusion: AIP can be used to determinate higher risk of thromboembolism in patients with CMPD. As a reliable and ‘easy-to-assess’ diagnostic tool, AIP could be useful for the determination of thrombotic events in CMPD clinicobiological disease course.
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