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Biological Variations of Lupus Anticoagulant, Antithrombin, Protein C, Protein S, and von Willebrand Factor Assays

机译:狼疮抗凝剂,抗凝血酶,蛋白C,蛋白S和von Willebrand因子测定的生物学变异

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The results of lupus anticoagulant (LA), antithrombin (AT), protein C (PC), and protein S (PS) testing, and the values of von Willebrand factor antigen (VWF:Ag) are important in diagnosis and therapeutic monitoring of thrombosis and hemostasis diseases. Till now, no published study has focused on the biological variations in LA testing, and only a few studies have examined the biological variations of AT, PC, PS, and VWF:Ag. With the latest fully automated instruments and improved reagents, the analytical, within-subject, and between-subject biological variations were estimated for these five coagulant parameters in a cohort of 25 apparently healthy subjects. Blood specimens were collected at 8:00 am, 12:00 pm, and 4:00 pm on days 1, 3, and 5. The analytical biological variation (CVA) values of all the parameters were less than 3%. The within-subject biological variation (CVW) and between-subject biological variation (CVG) values of the LA normalized ratio were 4.64 and 6.83%, respectively. No significant differences were observed in the intraday and interday biological variations of LA tests, or in AT, PC, PS, and VWF:Ag values. Additionally, the utility of the conventional population-based reference intervals of the five coagulation parameters was evaluated by the index of individuality, and data on CVW and CVA were used to calculate the reference change value to identify the significance of changes in serial results from the same individual.
机译:狼疮抗凝剂(LA),抗凝血酶(AT),蛋白C(PC)和蛋白S(PS)的检测结果以及von Willebrand因子抗原(VWF:Ag)的值对于血栓形成的诊断和治疗监测非常重要和止血疾病。到目前为止,还没有发表的研究关注LA测试中的生物学变异,只有很少的研究研究了AT,PC,PS和VWF:Ag的生物学变异。使用最新的全自动仪器和改良的试剂,在25名显然健康的受试者队列中,对这5种凝血参数进行了分析,受试者内和受试者间生物学差异的估算。在第1、3和5天的8:00 am,12:00 pm和4:00 pm采集血液样本。所有参数的分析生物学变异(CVA)值均小于3%。 LA标准化比的受试者内生物变异(CVW)和受试者间生物变异(CVG)值分别为4.64%和6.83%。在LA试验的日间和日间生物学变化或AT,PC,PS和VWF:Ag值中,未观察到显着差异。此外,通过个性指数评估了五个凝血参数的常规基于人群的参考区间的效用,并使用CVW和CVA的数据来计算参考变化值,以从中确定连续结果变化的重要性。同一个人。

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