Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Clinical Pharmacokinetics and Pharmacodynamics Unit, King Saud University Medical City, Riyadh, Saudi Arabia.
Indian J Pediatr. 2020 May;87(5):359-364. doi: 10.1007/s12098-019-03162-5. Epub 2020 Jan 27.
Improving vancomycin therapy with therapeutic drug monitoring is recommended. Over the past few years, a few studies have demonstrated that trough concentrations may not be the optimal parameter for monitoring vancomycin concentration and Area under the curve (AUC) should be used instead. In this study authors evaluate two methods to estimate the AUC. The first method is based on linear regression using only a trough concentration. The second method uses a simplified two-sample equation-based strategy to estimate the AUC.
Data from 70 infant patients were collected retrospectively from their medical records at King Saud University Medical City. The prediction accuracy for vancomycin therapy monitoring was optimized by comparing the two methods for the AUC calculation, the simple linear regression and simplified two-sample equation-based strategy.
The target AUC > 400 μg × h/ml was achieved in 10%, 71%, and 100% of patients with trough concentration ranges of 5-10, 10-15, and > 15 μg/ml, respectively. There was a strong correlation between the predicted and observed AUC calculated using the simplified two-sample equation-based strategy (R = 0.91, bias = -3.9%, precision =12%).
The target AUC > 400 μg × h/ml can be achieved at trough concentrations <15 μg/ml in most patients. Targeting trough concentrations >15 can lead to overdoing and increase risk of nephrotoxicity. The authors recommend estimating the AUC using the simplified two-sample equation strategy for more precise dosing of vancomycin. Using AUC-guided dosing instead of the trough-guided approach can prevent over dosing and reduce the risk of nephrotoxicity.
推荐使用治疗药物监测来改善万古霉素治疗。在过去的几年中,有几项研究表明谷浓度可能不是监测万古霉素浓度的最佳参数,而应使用 AUC(曲线下面积)。在这项研究中,作者评估了两种估计 AUC 的方法。第一种方法是基于仅使用谷浓度的线性回归。第二种方法使用基于简化两样本方程的策略来估计 AUC。
从 King Saud 大学医疗城的病历中回顾性收集了 70 名婴儿患者的数据。通过比较两种 AUC 计算方法(简单线性回归和基于简化两样本方程的策略),优化了万古霉素治疗监测的预测准确性。
在谷浓度范围为 5-10、10-15 和>15μg/ml 的患者中,分别有 10%、71%和 100%的患者达到目标 AUC>400μg×h/ml。使用基于简化两样本方程的策略计算的预测 AUC 与观察 AUC 之间存在很强的相关性(R=0.91,偏差=-3.9%,精度=12%)。
大多数患者在谷浓度<15μg/ml 时可以达到目标 AUC>400μg×h/ml。将谷浓度目标设定为>15μg/ml 可能会导致过度治疗并增加肾毒性风险。作者建议使用简化两样本方程策略来估计 AUC,以便更精确地给予万古霉素剂量。使用 AUC 指导的剂量代替谷浓度指导的方法可以防止过度给药并降低肾毒性风险。