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用于可视化临床试验中基线值异常受试者的转氨酶和胆红素变化的组合图。

Composite Plot for Visualizing Aminotransferase and Bilirubin Changes in Clinical Trials of Subjects with Abnormal Baseline Values.

机构信息

U.S. FDA, Center for Food Safety and Nutrition, Office of Analytics and Outreach, College Park, MD, USA.

, Wiley Building, 5001 Campus Drive, College Park, MD, 20740, USA.

出版信息

Drug Saf. 2024 Jul;47(7):699-710. doi: 10.1007/s40264-024-01425-5. Epub 2024 Apr 20.

Abstract

INTRODUCTION

On-treatment excursions of liver laboratory test values in clinical trials involving subjects with underlying liver disease are relevant for the efficacy and safety assessment of drug products and biologics. Existing visualization and analysis tools do not efficiently provide an integrated view of these excursions when baseline liver tests are abnormal.

OBJECTIVE

The aim of this study was to develop a composite plot that enables visualization of on-treatment changes in liver test results both as multiples of the upper limit of normal defined by each laboratory's reference population (×ULN) and multiples of the subjects' baseline (×BLN) values.

METHODS

The composite plot approach combines biochemical evaluation for drug-induced severe hepatotoxicity (eDISH) plots sequentially applied to subjects' baseline and peak on-treatment liver test results normalized by ULN and integrates them into a four-panel shift plot of peak on-treatment values normalized by BLN.

RESULTS

The composite plot enabled efficient assessment of improvement in liver test values during treatment compared with pretreatment in subjects treated with the investigational drug (or the natural history of placebo-treated subjects) and identified outlier subjects for potential drug-induced liver injury.

CONCLUSION

For studies in subjects with abnormal baseline values, the composite plot has potential application in the assessment of beneficial and concerning on-treatment modifications in liver test values in reference to the individual subject's baseline and population threshold values.

摘要

简介

在涉及潜在肝脏疾病受试者的临床试验中,治疗期间的肝脏实验室检测值变化与药物产品和生物制剂的疗效和安全性评估相关。现有的可视化和分析工具在基线肝脏检测值异常时,无法有效地提供这些变化的综合视图。

目的

本研究旨在开发一种组合图,能够可视化治疗期间肝脏检测结果的变化,既可以用每个实验室参考人群定义的上限倍数(×ULN),也可以用受试者的基线倍数(×BLN)表示。

方法

组合图方法将用于评估药物引起的严重肝毒性的生化评估(eDISH)图依次应用于受试者的基线和峰值治疗期间的肝脏检测结果,并用 ULN 进行标准化,并将其整合到一个四面板移位图中,用 BLN 对峰值治疗期间的值进行标准化。

结果

组合图能够有效地评估与治疗前相比,治疗期间受试者(或安慰剂治疗的受试者的自然史)接受研究药物治疗时肝脏检测值的改善情况,并确定潜在的药物性肝损伤的离群受试者。

结论

对于基线值异常的受试者研究,组合图在评估肝脏检测值的有益和令人关注的治疗期间变化方面具有潜在的应用价值,可参考个体受试者的基线和人群阈值值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f486/11182847/0ec8b84e2061/40264_2024_1425_Fig1_HTML.jpg

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