Individualized dosing algorithms for tacrolimus in kidney transplant recipients: current status and unmet needs.

IF 3.9 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Maaike R Schagen, Helena Volarevic, Marith I Francke, Sebastiaan D T Sassen, Marlies E J Reinders, Dennis A Hesselink, Brenda C M de Winter
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引用次数: 0

Abstract

Introduction: Tacrolimus is a potent immunosuppressive drug with many side effects including nephrotoxicity and post-transplant diabetes mellitus. To limit its toxicity, therapeutic drug monitoring (TDM) is performed. However, tacrolimus' pharmacokinetics are highly variable within and between individuals, which complicates their clinical management. Despite TDM, many kidney transplant recipients will experience under- or overexposure to tacrolimus. Therefore, dosing algorithms have been developed to limit the time a patient is exposed to off-target concentrations.

Areas covered: Tacrolimus starting dose algorithms and models for follow-up doses developed and/or tested since 2015, encompassing both adult and pediatric populations. Literature was searched in different databases, i.e. Embase, PubMed, Web of Science, Cochrane Register, and Google Scholar, from inception to February 2023.

Expert opinion: Many algorithms have been developed, but few have been prospectively evaluated. These performed better than bodyweight-based starting doses, regarding the time a patient is exposed to off-target tacrolimus concentrations. No benefit in reduced tacrolimus toxicity has yet been observed. Most algorithms were developed from small datasets, contained only a few tacrolimus concentrations per person, and were not externally validated. Moreover, other matrices should be considered which might better correlate with tacrolimus toxicity than the whole-blood concentration, e.g. unbound plasma or intra-lymphocytic tacrolimus concentrations.

肾移植受者他克莫司的个性化给药算法:现状和未满足的需求。
引言:他克莫司是一种强效免疫抑制药物,有许多副作用,包括肾毒性和移植后糖尿病。为了限制其毒性,进行了治疗药物监测(TDM)。然而,他克莫司的药代动力学在个体内部和个体之间变化很大,这使其临床管理变得复杂。尽管有TDM,许多肾移植受者仍会出现他克莫司暴露不足或过度的情况。因此,已经开发了给药算法来限制患者暴露于偏离目标浓度的时间。涵盖领域:自2015年以来开发和/或测试的他克莫司起始剂量算法和后续剂量模型,包括成人和儿童人群。从成立到2023年2月,在不同的数据库中搜索了文献,即Embase、PubMed、Web of Science、Cochrane Register和Google Scholar。专家意见:已经开发了许多算法,但很少有前瞻性评估。就患者暴露于偏离目标浓度的他克莫司的时间而言,这些剂量比基于体重的起始剂量表现更好。尚未观察到降低他克莫司毒性的益处。大多数算法都是从小型数据集开发的,每人只含少量他克莫司浓度,未经外部验证。此外,应考虑其他基质,这些基质可能比全血浓度更能与他克莫司毒性相关,例如未结合的血浆或淋巴细胞内他克莫斯浓度。
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来源期刊
Expert Opinion on Drug Metabolism & Toxicology
Expert Opinion on Drug Metabolism & Toxicology 医学-生化与分子生物学
CiteScore
7.90
自引率
2.30%
发文量
62
审稿时长
4-8 weeks
期刊介绍: Expert Opinion on Drug Metabolism & Toxicology (ISSN 1742-5255 [print], 1744-7607 [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on all aspects of ADME-Tox. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering metabolic, pharmacokinetic and toxicological issues relating to specific drugs, drug-drug interactions, drug classes or their use in specific populations; issues relating to enzymes involved in the metabolism, disposition and excretion of drugs; techniques involved in the study of drug metabolism and toxicology; novel technologies for obtaining ADME-Tox data. Drug Evaluations reviewing the clinical, toxicological and pharmacokinetic data on a particular drug. The audience consists of scientists and managers in the pharmaceutical industry, pharmacologists, clinical toxicologists and related professionals.
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