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首页> 外文期刊>Scandinavian journal of clinical and laboratory investigation. >Usefulness of mycophenolic acid monitoring with PETINIA for prediction of adverse events in kidney transplant recipients
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Usefulness of mycophenolic acid monitoring with PETINIA for prediction of adverse events in kidney transplant recipients

机译:PETINIA监测霉酚酸在预测肾移植受者不良事件中的作用

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Background Therapeutic drug monitoring of mycophenolic acid (MPA) is required to optimize the immunosuppressive effect and minimize toxicity. We validated a new particle-enhanced turbidimetric inhibition immunoassay (PETINIA) for the determination of MPA levels and evaluated the relationship of MPA trough level with drug-related adverse events. Methods PETENIA and liquid chromatography-mass spectrometry (LC-MS) were used to determine MPA concentrations from 54 kidney transplant recipients (KTRs). Agreement between PETINIA and LC-MS results was assessed by Passing-Bablok regression and the Bland-Altman plot method. The association of adverse events with MPA trough level obtained by PETINIA was analyzed. Results PETINIA revealed a good agreement with the LC-MS; Regression analysis gave an equation of y = 1.27x - 0.12 (r(2) = 0.975, p < 0.001). PETINIA showed a systemic positive bias with a mean difference of 0.66 mg/L compared to LC-MS. However, the magnitude of the positive bias decreased to 0.44 mg/L within the therapeutic range of MPA. Multiple logistic regression showed that MPA trough level determined by PETINIA was an independent risk factor for adverse events (odds ratio 2.28, 95% CI 1.25-4.16, p = 0.007). MPA trough level predicted adverse events with a sensitivity of 77.8% and a specificity of 86.7% using a cut-off level of 5.25 mg/L. Conclusions Good correlation between the two methods indicates that PETINIA is an acceptable method for the monitoring of MPA therapeutic levels. Furthermore, MPA trough level obtained by PETINIA is a useful monitoring tool to minimize toxicity in KTRs.
机译:背景技术需要对霉酚酸(MPA)进行治疗性药物监测,以优化免疫抑制效果并使毒性最小化。我们验证了一种新的增强颗粒比浊抑制免疫测定(PETINIA)来测定MPA水平,并评估了MPA谷值水平与药物相关不良事件的关系。方法采用PETENIA和液相色谱-质谱(LC-MS)法测定54名肾移植受者(KTR)的MPA浓度。通过Passing-Bablok回归和Bland-Altman绘图法评估PETINIA和LC-MS结果之间的一致性。分析了不良事件与PETINIA获得的MPA谷水平的关联。结果PETINIA与LC-MS表现出良好的一致性;回归分析得出y = 1.27x-0.12(r(2)= 0.975,p <0.001)的方程。 PETINIA显示系统性正偏倚,与LC-MS相比,平均差异为0.66 mg / L。但是,在MPA的治疗范围内,正偏差的大小降至0.44 mg / L。多元逻辑回归分析显示,PETINIA测定的MPA谷水平是不良事件的独立危险因素(赔率2.28,95%CI 1.25-4.16,p = 0.007)。 MPA谷值预测的不良事件发生时的临界值为5.25 mg / L,敏感性为77.8%,特异性为86.7%。结论两种方法之间的良好相关性表明PETINIA是监测MPA治疗水平的可接受方法。此外,PETINIA获得的MPA谷水平是一种有用的监测工具,可最大程度地降低KTR的毒性。

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