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解读羟氯喹血药浓度以评估药物不依从性:一项药代动力学研究。

Interpreting hydroxychloroquine blood levels for medication non-adherence: a pharmacokinetic study.

机构信息

Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA

Duke Clinical Research Institute, Durham, North Carolina, USA.

出版信息

Lupus Sci Med. 2024 Apr 30;11(1):e001090. doi: 10.1136/lupus-2023-001090.

Abstract

OBJECTIVE

Characterise the relationship between hydroxychloroquine (HCQ) blood levels and the number of missed doses, accounting for dosage, dose timing and the large variability in pharmacokinetics (PK) between patients.

METHODS

We externally validated a published PK model and then conducted dosing simulations. We developed a virtual population of 1000 patients for each dosage across a range of body weights and PK variability. Using the model, 10 Monte Carlo simulations for each patient were conducted to derive predicted whole blood concentrations every hour over 24 hours (240 000 HCQ levels at steady state). To determine the impact of missed doses on levels, we randomly deleted a fixed proportion of doses.

RESULTS

For patients receiving HCQ 400 mg daily, simulated random blood levels <200 ng/mL were exceedingly uncommon in fully adherent patients (<0.1%). In comparison, with 80% of doses missed, approximately 60% of concentrations were <200 ng/mL. However, this cut-off was highly insensitive and would miss many instances of severe non-adherence. Average levels quickly dropped to <200 ng/mL after 2-4 days of missed doses. Additionally, mean levels decreased by 29.9% between peak and trough measurements.

CONCLUSIONS

We propose an algorithm to optimally interpret HCQ blood levels and approximate the number of missed doses, incorporating the impact of dosage, dose timing and pharmacokinetic variability. No single cut-off has adequate combinations of both sensitivity and specificity, and cut-offs are dependent on the degree of targeted non-adherence. Future studies should measure trough concentrations to better identify target HCQ levels for non-adherence and efficacy.

摘要

目的

描述羟氯喹(HCQ)血药浓度与漏服剂量之间的关系,同时考虑剂量、给药时间以及患者间药代动力学(PK)的巨大变异性。

方法

我们对已发表的 PK 模型进行了外部验证,然后进行了给药模拟。我们为每个剂量范围的不同体重和 PK 变异性创建了 1000 名患者的虚拟人群。使用该模型,对每位患者进行了 10 次蒙特卡罗模拟,以在 24 小时内(稳态时每小时 240,000 个 HCQ 水平)推导出预测的全血浓度。为了确定漏服剂量对水平的影响,我们随机删除了固定比例的剂量。

结果

对于接受 HCQ 400mg 每日剂量的患者,在完全依从的患者中,模拟随机血药水平<200ng/mL 极为罕见(<0.1%)。相比之下,在漏服 80%剂量的情况下,大约 60%的浓度<200ng/mL。然而,该截止值高度不敏感,会错过许多严重不依从的实例。漏服 2-4 天后,平均水平迅速降至<200ng/mL。此外,峰谷测量之间的平均水平下降了 29.9%。

结论

我们提出了一种算法来优化解释 HCQ 血药浓度并估算漏服剂量,同时考虑剂量、给药时间和 PK 变异性的影响。没有单一的截止值具有足够的敏感性和特异性组合,并且截止值取决于目标不依从的程度。未来的研究应测量谷浓度,以更好地识别不依从和疗效的目标 HCQ 水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2704/11086411/ad81fecaf9a5/lupus-2023-001090f01.jpg

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