Background: Management of side effects in clinical trials has to balance generation of meaningful data with risk for patients. A toxicity area requiring detailed management guidelines is drug-induced liver injury (DILI). In oncology trials, patients are often included despite baseline liver test abnormalities, for whom there is no consensus yet on levels of liver test changes that should trigger action, such as drug interruption or discontinuation.
Methods: We provide an innovative approach to manage hepatocellular DILI in oncology trials for patients with abnormal baseline alanine aminotransferase (ALT) levels. The algorithm proposed is based on mathematical derivation of action thresholds from those generally accepted for patients with normal baselines.
Results: The resulting algorithm is grouped by level of baseline abnormality and avoids calculation of baseline multiples. Suggested layered action levels are 4, 6, and 11 × Upper Limit of Normal (ULN) for patients with baseline ALT between 1.5 and 3 × ULN, and 6, 8, and 12 × ULN for patients with baseline ALT between 3 and 5 × ULN, respectively.
Conclusions: Our concept and resulting algorithm are consistent, transparent, and easy to follow, and the method for derivation from consensus-based thresholds may also be applicable to other drug toxicity areas.
Keywords: Clinical trial; drug-induced liver injury; liver test abnormalities; oncology; toxicity management.