他克莫司每日一次与每日两次治疗:依从性的提高是否会带来更好的疗效?-药代动力学观点。

Zi-yan Dai BSc, Lu Han BSc, Juan Wang BSc, Xiao-qin Liu PhD, Rui Chen PhD, Zheng Jiao PhD
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引用次数: 0

摘要

他克莫司是器官移植中一种重要的免疫抑制剂,可分为速释(IR-T)和缓释(ER-T)剂型。虽然ER-T改善了患者的依从性,但临床研究并没有证明与IR-T相比有更好的结果。然而,造成这种差异的根本原因尚不清楚。本研究旨在评估他克莫司在IR-T和ER-T的非粘附给药行为下的暴露,并为选择最佳他克莫司配方提供见解。根据已发表的群体药代动力学模型,进行蒙特卡罗模拟,以评估在涉及延迟或错过剂量的情况下,目标达到率(%PTA)和偏离治疗范围的时间(DT)。分析肾功能、移植后时间和红细胞压积水平对%PTA和% DT的影响。我们的研究结果显示,当剂量延迟或错过时,ER-T患者的PTA百分比较低,DT时间较长,反映出较差的“宽恕”。这一观察结果阐明了以往研究中ER-T缺乏临床优势。此外,快速代谢者对ER-T的耐受性更差,这加剧了维持治疗水平的挑战。此外,还开发了一个基于网络的仪表板,用于计算个体患者的PTA和DT百分比,并根据其给药行为和临床特征提供量身定制的处方建议。总之,依从性和宽恕在药物治疗的成功中起着至关重要的作用。本研究强调了药代动力学建模和模拟在为选择最佳他克莫司配方提供循证建议方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Once- Versus Twice-Daily Tacrolimus Therapy: Does Improved Adherence Lead to Better Efficacy?—A Pharmacokinetic Perspective

Tacrolimus, a critical immunosuppressant in organ transplantation, is available in immediate-release (IR-T) and extended-release (ER-T) formulations. While ER-T improves patient adherence, clinical studies have not demonstrated superior outcomes compared to IR-T. However, the underlying reasons for this discrepancy remain unclear. This study aimed to evaluate tacrolimus exposure under non-adherent dosing behaviors with IR-T and ER-T and to provide insights for selecting the optimal tacrolimus formulation. Monte Carlo simulations were conducted to assess the proportion of target attainment (%PTA) and deviation time (DT) from the therapeutic range in scenarios involving delayed or missed doses, based on published population pharmacokinetic models. The influence of renal function, the post-transplantation period, and hematocrit levels on %PTA and DT were also analyzed. Our findings revealed that patients on ER-T exhibited lower %PTA and longer DT than those on IR-T when doses were delayed or missed, reflecting poorer “forgiveness.” This observation elucidates the lack of clinical superiority observed for ER-T in previous studies. Furthermore, fast metabolizers experienced worse forgiveness with ER-T, exacerbating the challenge of maintaining therapeutic levels. Additionally, a web-based dashboard was developed to calculate the %PTA and DT for individual patients and to provide formulation recommendations tailored to their dosing behaviors and clinical characteristics. In conclusion, adherence and forgiveness play a crucial role in the success of pharmacotherapy. This study highlights the significance of pharmacokinetic modeling and simulation in providing evidence-based recommendations for selecting the optimal tacrolimus formulation.

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