Overview of Causality Assessment for Drug-Induced Liver Injury (DILI) in Clinical Trials
- PMID: 33725335
- PMCID: PMC8184702
- DOI: 10.1007/s40264-021-01051-5
Overview of Causality Assessment for Drug-Induced Liver Injury (DILI) in Clinical Trials
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.
Conflict of interest statement
Dr Dimick-Santos has no conflict of interest related to this paper. Dr Hey-Hadavi, Dr Seekins, Ms Coffey, Dr Caminis, Dr Abdullaev, Dr Patwardhan, Ms Tyler, Ms Raheja, Dr Pineda Salgado, Dr Bourdet, and Dr Estilo are full time employees of Pfizer, Bristol-Myers Squibb, Bristol-Myers Squibb, Sanofi, Bristol-Myers Squibb, AbbVie, Otsuka Pharmaceutical Development and Commercialization, Inc., AbbVie, Otsuka Pharmaceutical Development and Commercialization, Inc., Theravance Biopharma, and Otsuka Pharmaceutical Development and Commercialization, Inc, respectively. Dr Palmer was a full time employee of Takeda (formerly Shire) during the drafting of this paper and is now at Liver Consulting LLC. Dr Palmer serves as a consultant to several pharmaceutical companies for activities related to DILI, but has not derived any financial or other compensation from activities related to developing this document. Dr Stanley is an employee of Faegre Drinker Biddle and Reath LLP, which serves as Secretariat to the IQ Consortium, including the IQ DILI affiliate. Dr Andrade serves as a consultant to several pharmaceutical companies for activities related to NAFLD and DILI, but has not derived any financial or other compensation from activities related to developing this Best Practices document. Dr Hayashi declares that he has no relevant conflicts of interest for this paper. Dr Rockey declares that he has no relevant conflicts of interest for this paper. Dr Rockey has ongoing research grant support from Galectin Therapeutics, Genfit, Gilead Sciences, Intercept Pharmaceuticals, Mallinckrodt Pharmaceuticals, Salix Pharmaceuticals and Sequana Medical, where his institution receives all funding.
References
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- Watkins PB. How to diagnose and exclude drug-induced liver injury. Dig Dis. 2015;33:472–476. - PubMed
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- U.S. Food and Drug Administration (FDA). Guidance for industry drug-induced liver injury: premarketing clinical evaluation. https://www.fda.gov/downloads/guidances/UCM174090.pdf. Accessed 29 Aug 2017.
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