Willemsen A E C A B, Knapen L M, de Beer Y M, Brüggemann R J M, Croes S, van Herpen C M L, van Erp N P
Department of Medical Oncology, Radboud university medical center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.
Department of Clinical Pharmacy & Toxicology, Maastricht University Medical Center+, Maastricht, the Netherlands.
Eur J Clin Pharmacol. 2018 Apr;74(4):465-471. doi: 10.1007/s00228-017-2394-0. Epub 2017 Dec 8.
Everolimus treatment is seriously hampered by its toxicity profile. As a relationship between everolimus exposure and effectiveness and toxicity has been established, early and ongoing concentration measurement can be key to individualize the dose and optimize treatment outcomes. Dried blood spot (DBS) facilitates sampling at a patients' home and thereby eases dose individualization. The aim of this study is to determine the agreement and predictive performance of DBS compared to whole blood (WB) to measure everolimus concentrations in cancer patients.
Paired DBS and WB samples were collected in 22 cancer patients treated with everolimus and analyzed using UPLC-MS/MS. Bland-Altman and Passing-Bablok analysis were used to determine method agreement. Limits of clinical relevance were set at a difference of ± 25%, as this would lead to a different dosing advice. Using DBS concentration and Passing-Bablok regression analysis, WB concentrations were predicted.
Samples of 20 patients were suitable for analysis. Bland-Altman analysis showed a mean ratio of everolimus WB to DBS concentrations of 0.90, with 95% of data points within limits of clinical relevance. Passing-Bablok regression of DBS compared to WB revealed no constant bias (intercept 0.02; 95% CI 0.93-1.35) and a small proportional bias (slope 0.89; 95% CI 0.76-0.99). Predicted concentrations showed low bias and imprecision and 90% of samples had an absolute percentage prediction error of < 20%.
DBS is a valid method to determine everolimus concentrations in cancer patients. This can especially be of value for early recognition of over- or underexposure to enable dose adaptations.
依维莫司的毒性特征严重阻碍了其治疗应用。由于已确定依维莫司的血药浓度与疗效和毒性之间的关系,早期及持续的浓度监测对于实现个体化给药和优化治疗效果至关重要。干血斑(DBS)便于在患者家中采样,从而有助于实现剂量个体化。本研究旨在确定与全血(WB)相比,DBS用于测量癌症患者依维莫司浓度的一致性和预测性能。
收集22例接受依维莫司治疗的癌症患者的配对DBS和WB样本,并采用超高效液相色谱-串联质谱法(UPLC-MS/MS)进行分析。采用Bland-Altman分析和Passing-Bablok分析来确定方法的一致性。临床相关性界限设定为差异±25%,因为这会导致不同的给药建议。利用DBS浓度和Passing-Bablok回归分析预测WB浓度。
20例患者的样本适合分析。Bland-Altman分析显示依维莫司WB与DBS浓度的平均比值为0.90,95%的数据点在临床相关性界限内。DBS与WB的Passing-Bablok回归显示无恒定偏差(截距0.02;95%置信区间0.93 - 1.35)和较小的比例偏差(斜率0.89;95%置信区间0.76 - 0.99)。预测浓度显示偏差低且不精确,90%的样本绝对百分比预测误差<20%。
DBS是测定癌症患者依维莫司浓度的有效方法。这对于早期识别药物暴露过度或不足以进行剂量调整尤其有价值。