首页> 外文期刊>Therapeutic Drug Monitoring >Free Mycophenolic Acid Should Be Monitored in Renal Transplant Recipients with Hypoalbuminemia.
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Free Mycophenolic Acid Should Be Monitored in Renal Transplant Recipients with Hypoalbuminemia.

机译:低白蛋白血症的肾脏移植接受者应监测游离的麦考酚酸。

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The current approach for therapeutic drug monitoring in renal transplant recipients receiving mycophenolate mofetil (MMF) is measurement of total mycophenolic acid (MPA) concentration. Because MPA is highly bound, during hypoalbuminemia the total concentration no longer reflects the free (pharmacologically active) concentration. The authors investigated what degree of hypoalbuminemia causes a significant change in protein binding and thus percentage free MPA. Forty-two renal transplant recipients were recruited for the study. Free and total concentrations of MPA (predose, and 1, 3, and 6 hours post-MMF dose samples) and plasma albumin concentrations were determined on day 5 posttransplantation. Six-hour area under the concentration-time curve (AUC0-6) values were calculated for free and total MPA, and percentage free MPA was determined for each patient. The authors found a significant relationship between low albumin concentrations and increased percentage free MPA (Spearman correlation = -0.54, P < 0.0001). Receiver operating characteristic (ROC) curve analysis was performed on the albumin versus percentage free MPA data. The cutoff value of albumin determined from the ROC analysis that differentiated normal from elevated percentage free MPA (defined as >/=3%) in this patient population was 31 g/L. At this cutoff value albumin was found to be a good predictor of altered free MPA percentage, with a sensitivity and specificity of 0.75 and 0.80, respectively, and an area under the ROC curve of 0.79. To rationalize MMF dosing regimens in hypoalbuminemic patients (plasma albumin
机译:在接受霉酚酸酯(MMF)的肾移植受者中,当前用于监测治疗药物的方法是测量总霉酚酸(MPA)浓度。由于MPA高度结合,因此在低蛋白血症期间,总浓度不再反映游离(药理活性)浓度。作者研究了什么程度的低白蛋白血症引起蛋白质结合的显着变化,从而导致了游离MPA百分比。招募了42名肾移植受者用于该研究。在移植后第5天测定MPA的游离浓度和总浓度(给药前,MMF给药后1、3和6小时)和血浆白蛋白浓度。计算游离MPA和总MPA的浓度-时间曲线(AUC0-6)值下的六小时面积,并确定每位患者的游离MPA百分比。作者发现低白蛋白浓度与游离MPA百分比增加之间存在显着关系(Spearman相关系数= -0.54,P <0.0001)。对白蛋白相对于游离MPA百分比数据进行了受试者工作特征(ROC)曲线分析。根据ROC分析确定的白蛋白的临界值是该患者人群中正常MPA与游离MPA百分比升高(定义为> / = 3%)的差异。在该临界值处,发现白蛋白可以很好地预测游离MPA百分比的变化,其敏感性和特异性分别为0.75和0.80,ROC曲线下的面积为0.79。为了合理化低蛋白血症患者(血浆白蛋白

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