A pilot study evaluating mid-point vancomycin concentrations to estimate pharmacokinetics and area under the curve: a prospective study.

IF 3 3区 医学 Q2 INFECTIOUS DISEASES
Aseel AbuSara, Deema Abdelrahman, Wedad Awad, Jennifer Le, Skyler Shapiro, Lama Nazer
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引用次数: 0

Abstract

Background: Guidelines recommend monitoring vancomycin by estimating the area under the curve (AUC24) with two levels, peak and trough, preferably using Bayesian software. However, such an approach is not feasible or cost-effective in all settings. In this study, we evaluated the accuracy and precision of estimating AUC24 using a single mid-point level in critically ill cancer patients. We hypothesized that concentrations at the midpoint of the dosing interval may provide insight into the volume of distribution (Vd) and clearance (Cl), capturing pharmacokinetic parameters assessed by the peak and trough concentrations, respectively.

Methods: A prospective study that included critically ill cancer patients with stable kidney function who received vancomycin during their ICU stay. Trough, peak, and midpoint concentrations were measured at steady-state. Pharmacokinetic equations from the short infusion model was used to calculate the AUC24, Cl, and Vd using a single midpoint. We also determined AUC24, Cl, and Vd using Bayesian software with peak and trough concentrations. Accuracy and precision of the pharmacokinetic estimations utilizing the mid-point level were determined, with a comparison to the Bayesian approach.

Results: We included 91 patients, with a mean age of 53 years ± 17 (SD), 54% were males, and 77% had solid tumors. The mean prescribed vancomycin dose was 15 mg/kg/dose ± 3 (SD). Median AUC24 was 426 mg.dl/hr (IQR 326-559) and 464 mg.dl/hr (IQR 345-664), using the midpoint and Bayesian approach, respectively. The mean Vd was 48 L (± 11) and 45 L (± 13) and Cl was 5 L/hr (± 3) and 5 L/hr (± 2) for both approaches, respectively. The accuracy and precision for the midpoint, against the Bayesian, were: AUC24 (11%, 22%, respectively), Cl (17%, 24%, respectively), and Vd (6%, 9%, respectively).

Conclusions: Utilization of mid-point vancomycin levels to calculate pharmacokinetic parameters demonstrated promising findings. Further research with larger and more diverse patient populations is needed to evaluate this approach further.

一项评估万古霉素中点浓度以估计药代动力学和曲线下面积的初步研究:一项前瞻性研究。
背景:指南建议万古霉素监测采用峰谷两水平曲线下面积(AUC24)估算法,最好使用贝叶斯软件。然而,这种方法并非在所有情况下都可行或具有成本效益。在这项研究中,我们评估了在危重癌症患者中使用单一中点水平估计AUC24的准确性和精密度。我们假设,在给药间隔中点的浓度可以提供对分布体积(Vd)和清除率(Cl)的深入了解,分别通过峰浓度和谷浓度获取药代动力学参数。方法:一项前瞻性研究,包括在ICU住院期间接受万古霉素治疗的肾功能稳定的危重癌症患者。在稳态下测量谷、峰、中点浓度。采用短时间输注模型的药代动力学方程计算AUC24、Cl和Vd,采用单中点计算。我们还使用贝叶斯软件测定了AUC24、Cl和Vd的峰谷浓度。利用中点水平确定药代动力学估计的准确性和精密度,并与贝叶斯方法进行比较。结果:我们纳入91例患者,平均年龄53岁±17岁(SD), 54%为男性,77%为实体瘤。处方万古霉素平均剂量为15mg /kg/剂量±3 (SD)。采用中点法和贝叶斯方法,中位AUC24分别为426 mg.dl/hr (IQR 326-559)和464 mg.dl/hr (IQR 345-664)。两种方法的平均Vd分别为48 L(±11)和45 L(±13),Cl分别为5 L/hr(±3)和5 L/hr(±2)。相对于贝叶斯,中点的准确度和精密度分别为:AUC24(分别为11%,22%),Cl(分别为17%,24%)和Vd(分别为6%,9%)。结论:利用万古霉素中点水平计算药代动力学参数有很好的结果。需要对更大、更多样化的患者群体进行进一步的研究来进一步评估这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Infectious Diseases
BMC Infectious Diseases 医学-传染病学
CiteScore
6.50
自引率
0.00%
发文量
860
审稿时长
3.3 months
期刊介绍: BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.
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