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使用基于生理的药代动力学模型评估服用窄治疗窗药物的慢性心力衰竭患者的药代动力学药物-药物相互作用。

Using Physiologically Based Pharmacokinetic Models for Assessing Pharmacokinetic Drug-Drug Interactions in Patients with Chronic Heart Failure Taking Narrow Therapeutic Window Drugs.

作者信息

Hvarchanova Nadezhda, Radeva-Ilieva Maya, Georgiev Kaloyan D

机构信息

Department of Pharmacology, Toxicology and Pharmacotherapy, Faculty of Pharmacy, Medical University-Varna, 9000 Varna, Bulgaria.

出版信息

Pharmaceuticals (Basel). 2025 Mar 27;18(4):477. doi: 10.3390/ph18040477.

Abstract

Pharmacotherapy of chronic heart failure (CHF) with a reduced ejection fraction includes a combination of drugs. Often, different groups of drugs are added together for the treatment of concomitant conditions, such as statins, anticoagulants, antiplatelet agents, and cardiac glycosides, which have a narrow therapeutic window. Increased medication intake is a prerequisite for the increased risk of potential adverse drug-drug interactions (DDI), especially those occurring at the pharmacokinetic level. The main objectives of this study are to identify the most common potential pharmacokinetic drug-drug interactions (pPKDDIs), to explore more complex cases, and to simulate and analyze them with appropriate software. The data selected for the simulations were collected over a two-year period from January 2014 to December 2015. Identification of the pPKDDIs was carried out using Lexicomp Drug interaction, while simulations were performed with Simcyp software (V20, R1). The most common pharmacokinetic mechanisms responsible for the occurrence of drug-drug interactions in the selected drugs with narrow therapeutic windows are those featuring the cytochrome isoforms CYP3A4 and 2C9 and the efflux pump-P-glycoprotein (P-gp). Simulations with the available data in Simcyp software showed possibilities to analyze and evaluate pPKDDIs, which would be difficult to assess without appropriate software, as well as ways to manage them. The frequency and complexity of pPKDDIs in patients with cardiovascular disease are high. Therefore, such patients require a specific approach to reduce these risks as well as to optimize the therapy. An appropriate PBPK software with the necessary database would be suitable in these cases.

摘要

射血分数降低的慢性心力衰竭(CHF)的药物治疗包括多种药物联合使用。通常,不同类别的药物会联合用于治疗合并症,如他汀类药物、抗凝剂、抗血小板药物和治疗窗窄的强心苷类药物。药物摄入量增加是潜在药物相互作用(DDI)风险增加的一个前提条件,尤其是那些发生在药代动力学水平的相互作用。本研究的主要目的是识别最常见的潜在药代动力学药物相互作用(pPKDDIs),探索更复杂的病例,并使用合适的软件进行模拟和分析。用于模拟的数据是在2014年1月至2015年12月的两年期间收集的。使用Lexicomp药物相互作用数据库识别pPKDDIs,同时使用Simcyp软件(V20,R1)进行模拟。在所选治疗窗窄的药物中,导致药物相互作用发生的最常见药代动力学机制是涉及细胞色素同工酶CYP3A4和2C9以及外排泵——P-糖蛋白(P-gp)的机制。使用Simcyp软件中的现有数据进行模拟,显示了分析和评估pPKDDIs的可能性,如果没有合适的软件,这些相互作用将难以评估,同时也显示了管理这些相互作用的方法。心血管疾病患者中pPKDDIs的频率和复杂性都很高。因此,这类患者需要一种特定的方法来降低这些风险并优化治疗。在这些情况下,具有必要数据库的合适的生理药代动力学(PBPK)软件将是适用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a67/12030730/27ff97d8825c/pharmaceuticals-18-00477-g001.jpg

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