Adaptive phase I-II clinical trial designs identifying optimal biological doses for targeted agents and immunotherapies.

Targeted agents and immunotherapies have revolutionized cancer treatment, offering promising options for various cancer types. Unlike traditional therapies the principle of "more is better" is not always applicable to these new therapies due to their unique biomedical mechanisms. As a result, various phase I-II clinical trial designs have been proposed to identify the optimal biological dose that maximizes the therapeutic effect of targeted therapies and immunotherapies by jointly monitoring both efficacy and toxicity outcomes. This review article examines several innovative phase I-II clinical trial designs that utilize accumulated efficacy and toxicity outcomes to adaptively determine doses for subsequent patients and identify the optimal biological dose, maximizing the overall therapeutic effect. Specifically, we highlight three categories of phase I-II designs: efficacy-driven, utility-based, and designs incorporating multiple efficacy endpoints. For each design, we review the dose-outcome model, the definition of the optimal biological dose, the dose-finding algorithm, and the software for trial implementation. To illustrate the concepts, we also present two real phase I-II trial examples utilizing the EffTox and ISO designs. Finally, we provide a classification tree to summarize the designs discussed in this article.

Medication burden and anticholinergic use are associated with overt HE in individuals with cirrhosis.

BACKGROUND: Polypharmacy and anticholinergic medications are associated with cognitive decline in elderly populations. Although several medications have been associated with HE, associations between medication burden, anticholinergics, and HE have not been explored. We examined medication burden and anticholinergics in patients with cirrhosis and their associations with HE-related hospitalization. METHODS: We conducted a retrospective cohort study of patients aged 18-80 with cirrhosis seen in hepatology clinics during 2019. The number of chronic medications (medication burden) and anticholinergic use were recorded. The primary outcome was HE-related hospitalization. RESULTS: A total of 1039 patients were followed for a median of 840 days. Thirty-seven percent had a history of HE, and 9.8% had an HE-related hospitalization during follow-up. The mean number of chronic medications was 6.1 ± 4.3. Increasing medication burden was associated with HE-related hospitalizations in univariable (HR: 1.09, 95% CI: 1.05-1.12) and multivariable (HR: 1.07, 95% CI: 1.03-1.11) models. This relationship was maintained in those with baseline HE but not in those without baseline HE. Twenty-one percent were taking an anticholinergic medication. Anticholinergic exposure was associated with increased HE-related hospitalizations in both univariable (HR: 1.68, 95% CI: 1.09-2.57) and multivariable (HR: 1.71, 95% CI: 1.11-2.63) models. This relationship was maintained in those with baseline HE but not in those without baseline HE. CONCLUSIONS: Anticholinergic use and medication burden are both associated with HE-related hospitalizations, particularly in those with a history of HE. Special considerations to limit anticholinergics and minimize overall medication burden should be tested for potential benefit in this population.