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美国食品药品监督管理局的见解:实施评估药物引起的QTc间期延长的新策略。

FDA's insights: implementing new strategies for evaluating drug-induced QTc prolongation.

作者信息

Ji Yanyan, Johannesen Lars, Garnett Christine

机构信息

Division of Cardiology and Nephrology, Office of New Drugs, Center for Drugs Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, USA.

出版信息

J Pharmacokinet Pharmacodyn. 2025 Jun 25;52(4):37. doi: 10.1007/s10928-025-09985-4.

Abstract

The questions and answers (Q&A) document for ICH E14/S7B provides the following advancements for QTc assessment: concentration-QTc modeling (C-QTc) as the primary analysis, accepting alternative approaches (Q&A 5.1 and 6.1) to thorough QT (TQT) studies, and incorporating an integrated nonclinical risk assessment as supporting evidence. Based on QT study reports reviewed by the FDA between 2016 and 2024, changes to the E14 guideline have resulted in a 34% decrease in the proportion of TQT studies, while the use of C-QTc analysis as the primary analysis has significantly increased. Studies using C-QTc instead of by-time analysis as the primary analysis reduced median sample sizes by 67%, 42%, and 35% for parallel, nested crossover, and crossover studies, respectively. The white paper C-QTc model was used for 60% of drugs that prolonged the QTc interval. From 2020 to 2024, reviews incorporating an integrated nonclinical risk assessment have also increased. The advancements in QTc assessments have streamlined QTc assessment and made clinical trials less resource-intensive. As the advancements continue to evolve the drug safety evaluation is likely to become even more adaptive and enable more precise and targeted QTc assessment.

摘要

国际人用药品注册技术协调会(ICH)E14/S7B问答文件在QTc评估方面取得了以下进展:采用浓度-QTc建模(C-QTc)作为主要分析方法,接受全面QT(TQT)研究的替代方法(问答5.1和6.1),并纳入综合非临床风险评估作为支持证据。根据美国食品药品监督管理局(FDA)在2016年至2024年期间审查的QT研究报告,E14指南的修订使TQT研究的比例下降了34%,而将C-QTc分析用作主要分析方法的情况显著增加。对于平行研究、嵌套交叉研究和交叉研究,分别使用C-QTc而非逐时分析作为主要分析方法时,样本量中位数减少了67%、42%和35%。在延长QTc间期的药物中,60%使用了白皮书C-QTc模型。从2020年到2024年,纳入综合非临床风险评估的审查也有所增加。QTc评估的进展简化了QTc评估,使临床试验的资源密集度降低。随着这些进展不断演变,药物安全性评估可能会变得更加灵活,从而实现更精确、更有针对性的QTc评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8885/12198268/3dc5d5cfd28d/10928_2025_9985_Fig1_HTML.jpg

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