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本文引用的文献

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Development and Validation of a Model Consisting of Comorbidity Burden to Calculate Risk of Death Within 6 Months for Patients With Suspected Drug-Induced Liver Injury.构建一种包含合并症负担的模型,以计算疑似药物性肝损伤患者 6 个月内死亡风险的研究。
Gastroenterology. 2019 Nov;157(5):1245-1252.e3. doi: 10.1053/j.gastro.2019.07.006. Epub 2019 Jul 11.
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Overview of causality assessment in drug-induced liver injury.药物性肝损伤因果关系评估概述。
Clin Liver Dis (Hoboken). 2017 Mar 1;9(2):29-33. doi: 10.1002/cld.615. eCollection 2017 Feb.
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EASL Clinical Practice Guidelines: Drug-induced liver injury.EASL 临床实践指南:药物性肝损伤。
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Consensus: guidelines: best practices for detection, assessment and management of suspected acute drug-induced liver injury during clinical trials in patients with nonalcoholic steatohepatitis.共识:指南:在临床试验中检测、评估和管理非酒精性脂肪性肝炎患者疑似急性药物性肝损伤的最佳实践。
Aliment Pharmacol Ther. 2019 Mar;49(6):702-713. doi: 10.1111/apt.15153. Epub 2019 Feb 13.
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Drug induced liver injury with analysis of alternative causes as confounding variables.药物性肝损伤伴分析替代原因作为混杂变量。
Br J Clin Pharmacol. 2018 Jul;84(7):1467-1477. doi: 10.1111/bcp.13593. Epub 2018 May 14.
6
Drug-Induced Liver Injury: Why is the Roussel Uclaf Causality Assessment Method (RUCAM) Still Used 25 Years After Its Launch?药物性肝损伤:为何在其问世 25 年后 Roussel Uclaf 因果关系评估方法(RUCAM)仍在使用?
Drug Saf. 2018 Aug;41(8):735-743. doi: 10.1007/s40264-018-0654-2.
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Drug-induced liver injury: recent advances in diagnosis and risk assessment.药物性肝损伤:诊断与风险评估的最新进展
Gut. 2017 Jun;66(6):1154-1164. doi: 10.1136/gutjnl-2016-313369. Epub 2017 Mar 23.
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Drug rechallenge following drug-induced liver injury.药物诱导肝损伤后的药物再挑战。
Hepatology. 2017 Aug;66(2):646-654. doi: 10.1002/hep.29152. Epub 2017 Jun 26.
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Dilemmas of the causality assessment tools in the diagnosis of adverse drug reactions.药物不良反应诊断中因果关系评估工具的困境
Saudi Pharm J. 2016 Jul;24(4):485-93. doi: 10.1016/j.jsps.2015.01.010. Epub 2015 Jan 10.
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Diagnosis and Management of Drug-Induced Liver Injury (DILI) in Patients with Pre-Existing Liver Disease.已有肝病患者药物性肝损伤的诊断与管理
Drug Saf. 2016 Aug;39(8):729-44. doi: 10.1007/s40264-016-0423-z.

药物性肝损伤(DILI)临床试验因果关系评估概述。

Overview of Causality Assessment for Drug-Induced Liver Injury (DILI) in Clinical Trials.

机构信息

Pfizer, 235 E 42nd Street, New York City, NY, 10017, USA.

Bristol-Myers Squibb, Lawrenceville, NJ, USA.

出版信息

Drug Saf. 2021 Jun;44(6):619-634. doi: 10.1007/s40264-021-01051-5. Epub 2021 Mar 16.

DOI:10.1007/s40264-021-01051-5
PMID:33725335
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8184702/
Abstract

Causality assessment for suspected drug-induced liver injury (DILI) during drug development and following approval is challenging. The IQ DILI Causality Working Group (CWG), in collaboration with academic and regulatory subject matter experts (SMEs), developed this manuscript with the following objectives: (1) understand and describe current practices; (2) evaluate the utility of new tools/methods/practice guidelines; (3) propose a minimal data set needed to assess causality; (4) define best practices; and (5) promote a more structured and universal approach to DILI causality assessment for clinical development. To better understand current practices, the CWG performed a literature review, took a survey of member companies, and collaborated with SMEs. Areas of focus included best practices for causality assessment during clinical development, utility of adjudication committees, and proposals for potential new avenues to improve causality assessment. The survey and literature review provided renewed understanding of the complexity and challenges of DILI causality assessment as well as the use of non-standardized approaches. Potential areas identified for consistency and standardization included role and membership of adjudication committees, standardized minimum dataset, updated assessment tools, and best practices for liver biopsy and rechallenge in the setting of DILI. Adjudication committees comprised of SMEs (i.e., utilizing expert opinion) remain the standard for DILI causality assessment. A variety of working groups continue to make progress in pursuing new tools to assist with DILI causality assessment. The minimum dataset deemed adequate for causality assessment provides a path forward for standardization of data collection in the setting of DILI. Continued progress is necessary to optimize and advance innovative tools necessary for the scientific, pharmaceutical, and regulatory community.

摘要

在药物开发期间和获得批准后,评估疑似药物性肝损伤 (DILI) 的因果关系具有挑战性。IQ DILI 因果关系工作组 (CWG) 与学术和监管主题专家 (SME) 合作,制定了本文件,旨在实现以下目标:(1) 了解和描述当前的实践;(2) 评估新工具/方法/实践指南的效用;(3) 提出评估因果关系所需的最小数据集;(4) 定义最佳实践;(5) 促进一种更具结构化和普遍性的方法,用于药物开发中的 DILI 因果关系评估。为了更好地了解当前的实践,CWG 进行了文献回顾,对成员公司进行了调查,并与 SME 合作。重点领域包括在临床开发期间进行因果关系评估的最佳实践、裁决委员会的效用,以及提出潜在的新途径来改进因果关系评估。调查和文献回顾提供了对 DILI 因果关系评估的复杂性和挑战以及非标准化方法的使用的新认识。潜在的一致性和标准化领域包括裁决委员会的角色和成员、标准化最小数据集、更新的评估工具以及在 DILI 情况下进行肝活检和再挑战的最佳实践。由 SME 组成的裁决委员会(即利用专家意见)仍然是 DILI 因果关系评估的标准。各种工作组继续在寻求新工具方面取得进展,以协助进行 DILI 因果关系评估。认为足以进行因果关系评估的最小数据集为 DILI 情况下的数据收集标准化提供了前进的道路。需要继续取得进展,以优化和推进药物研发和监管界所需的创新工具。