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骨肉瘤中甲氨蝶呤与黏膜炎评分的群体药代动力学/药效学模型。

A population pharmacokinetic/pharmacodynamic model of methotrexate and mucositis scores in osteosarcoma.

机构信息

Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.

出版信息

Ther Drug Monit. 2011 Dec;33(6):711-8. doi: 10.1097/FTD.0b013e31823615e1.

Abstract

Methotrexate, when used in high doses (12 g/m²) in the treatment of osteosarcoma, shows wide between-subject variability (BSV) in its pharmacokinetics. High-dose methotrexate is associated with severe toxicity; therefore, therapeutic drug monitoring (TDM) is carried out to guide rescue therapy and monitor for nephrotoxicity. Mucositis is a commonly encountered dose-limiting toxicity that often leads to delays in subsequent courses of chemotherapy. This, in turn, results in a reduction in the dosing intensity, which is essential in the treatment of osteosarcoma. The aims of this study were to develop a population pharmacokinetic (PK) model from TDM using physiologically relevant covariates and to investigate the correlation between mucositis scores and methotrexate pharmacokinetics. In total, 46 osteosarcoma patients (30 men and 16 women; age, 4-51 years) were recruited, and blood samples were collected for routine TDM once every 24 hours. Mucositis scores, graded according to the National Cancer Institute Common Toxicity Criteria, were recorded for 28 of the patients (18 men and 10 women; age, 8-51 years) predose and postdose. A population PK model was developed in NONMEM VI. A 2-compartment PK model was chosen, and clearance (CL) was divided into filtration and secretion/metabolism components. All parameters were scaled with body weight, and, in addition, total CL was scaled with age- and sex-adjusted serum creatinine. Between-subject variability was modeled for all parameters, and between-occasion variability was included in CL. For a typical 70 kg man of 18 years or older, the parameter estimates for the final model were CL(filt) = 2.69 L/h/70 kg, CL(sec) = 10.9 L/h/70 kg, V₁ = 74.3 L/70 kg, Q = 0.110 L/h/70 kg, and V₂ = 4.10 L/70 kg. Sequential pharmacodynamic modeling consisted of mucositis scores as 5-point ordered categorical data. A significant linear relationship between individual area under the curve (AUC) and mucositis score probability was found, and the probability of having mucositis score ≥ 1 increased with increasing AUC and was almost 50% at the average cumulative AUC after 2 consecutive methotrexate doses.

摘要

甲氨蝶呤在治疗骨肉瘤时,当剂量高达 12g/m² 时,其药代动力学表现出广泛的个体间变异性(BSV)。大剂量甲氨蝶呤与严重毒性相关;因此,进行治疗药物监测(TDM)以指导抢救治疗和监测肾毒性。黏膜炎是一种常见的剂量限制毒性,常导致后续化疗疗程延迟。这反过来又导致剂量强度降低,这在骨肉瘤的治疗中是必不可少的。本研究的目的是使用生理相关协变量从 TDM 中建立群体药代动力学(PK)模型,并研究黏膜炎评分与甲氨蝶呤药代动力学之间的相关性。共招募了 46 例骨肉瘤患者(30 名男性和 16 名女性;年龄 4-51 岁),并每 24 小时采集一次常规 TDM 血样。记录了其中 28 例患者(18 名男性和 10 名女性;年龄 8-51 岁)的黏膜炎评分,按国家癌症研究所常见毒性标准进行分级。在 NONMEM VI 中建立了群体 PK 模型。选择了 2 室 PK 模型,并将清除率(CL)分为滤过和分泌/代谢成分。所有参数均按体重缩放,此外,总 CL 按年龄和性别调整的血清肌酐缩放。对所有参数进行了个体间变异性建模,并在 CL 中包含了批间变异性。对于一个典型的 70kg 年龄在 18 岁或以上的男性,最终模型的参数估计值为 CL(filt) = 2.69 L/h/70kg,CL(sec) = 10.9 L/h/70kg,V₁ = 74.3 L/70kg,Q = 0.110 L/h/70kg,V₂ = 4.10 L/70kg。序贯药效动力学建模由黏膜炎评分作为 5 点有序分类数据组成。发现个体 AUC 与黏膜炎评分概率之间存在显著的线性关系,并且随着 AUC 的增加,发生黏膜炎评分≥1 的概率增加,并且在连续 2 次甲氨蝶呤剂量后的平均累积 AUC 时几乎达到 50%。

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