The Evaluation of Interactions Between Multiple Intrinsic and Extrinsic Factors Reported in Labeling for FDA-Approved Drugs.

IF 2.3 4区 医学
Samantha Lynn Bailey, Sydney Stern, Elyes Dahmane, Anuradha Ramamoorthy, Michael Pacanowski, Robert Schuck
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引用次数: 0

Abstract

A critical aspect of drug development is evaluating pharmacokinetics (PK) and pharmacodynamics to assess how intrinsic (e.g., age, sex, comorbidities, and genomics) and extrinsic (e.g., drug-drug interactions [DDIs] and food interaction) factors influence drug exposure and response. These aspects guide dose selection and inform drug labeling by accounting for interindividual variability to ensure safe and effective use across complex patient populations. However, identifying the relationship of co-occurring factors, resembling complex patient populations, remains challenging. Herein, we analyzed drug labeling for therapeutic products approved by the Center of Drug Evaluation and Research at the US Food and Drug Administration from 2019 to 2023 to understand if intrinsic and extrinsic factors are considered simultaneously and how these factors influence prescribing recommendations. We characterized factors including pharmacogenomics (PGx), renal and hepatic function, age, pregnancy, body weight, comorbidities, and DDIs. Among 227 drug labelings, 93% independently assessed more than one factor and 2.6% evaluated the combined influence of two factors. Most drug labelings focused on single factors, with PK DDIs (70.0%), renal impairment (74.4%), and age (78.9%) frequently assessed. In rare disease indications, no significant differences in factor assessment frequency were observed. Of the six drug labelings that address simultaneously occurring factors, four addressed the interaction between PGx and PK DDIs. This analysis highlights a gap in evaluating co-occurring intrinsic and extrinsic factors in drug labeling, underscoring the need for integrated approaches during drug development to better guide clinical decision making for complex patient populations.

fda批准药品标签中多重内在和外在因素相互作用的评价。
药物开发的一个关键方面是评估药代动力学(PK)和药效学,以评估内在因素(如年龄、性别、合并症和基因组学)和外在因素(如药物-药物相互作用[ddi]和食物相互作用)如何影响药物暴露和反应。这些方面通过考虑个体间的差异来指导剂量选择和告知药物标签,以确保在复杂的患者群体中安全有效地使用。然而,确定共同发生的因素之间的关系,类似于复杂的患者群体,仍然具有挑战性。本文分析了2019年至2023年美国食品药品监督管理局(fda)药物评价与研究中心(Center of drug Evaluation and Research)批准的治疗产品的药物标签,以了解是否同时考虑了内在和外在因素,以及这些因素如何影响处方建议。我们的特征因素包括药物基因组学(PGx)、肾功能和肝功能、年龄、妊娠、体重、合并症和ddi。在227个药品说明书中,93%独立评估一个以上因素,2.6%评估两个因素的联合影响。大多数药物标签侧重于单一因素,经常评估PK ddi(70.0%)、肾脏损害(74.4%)和年龄(78.9%)。在罕见病指征中,因子评估频率无显著差异。在6个解决同时发生因素的药物标签中,有4个解决了PGx和PK ddi之间的相互作用。该分析强调了在评估药物标签中共同发生的内在和外在因素方面的差距,强调了在药物开发过程中需要采用综合方法来更好地指导复杂患者群体的临床决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Clinical Pharmacology
Journal of Clinical Pharmacology PHARMACOLOGY & PHARMACY-
自引率
3.40%
发文量
0
期刊介绍: The Journal of Clinical Pharmacology (JCP) is a Human Pharmacology journal designed to provide physicians, pharmacists, research scientists, regulatory scientists, drug developers and academic colleagues a forum to present research in all aspects of Clinical Pharmacology. This includes original research in pharmacokinetics, pharmacogenetics/pharmacogenomics, pharmacometrics, physiologic based pharmacokinetic modeling, drug interactions, therapeutic drug monitoring, regulatory sciences (including unique methods of data analysis), special population studies, drug development, pharmacovigilance, womens’ health, pediatric pharmacology, and pharmacodynamics. Additionally, JCP publishes review articles, commentaries and educational manuscripts. The Journal also serves as an instrument to disseminate Public Policy statements from the American College of Clinical Pharmacology.
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