Outcomes of immune checkpoint inhibitor-induced liver toxicity managed by hepatologists in a multidisciplinary toxicity team.

Aim: To detect immune-related adverse events (irAEs) early and treat them appropriately, our institute established an irAE-focused multidisciplinary toxicity team in cooperation with various departments. This study aimed to evaluate a consultation system involving a team of hepatologists in terms of its utility for the management of severe immune checkpoint inhibitor (ICI)-induced liver toxicity.

Methods: To analyze the diagnosis and treatment of severe ICI-induced liver toxicity (Grade 2 requiring corticosteroid therapy and Grade 3 or higher), we examined patients' clinical courses before and after the hepatologist consultation system was established (pre-period, September 2014 to February 2019; post-period, March 2019 to March 2023).

Predictive Models for Palliative Care Needs of Advanced Cancer Patients Receiving Chemotherapy.

Context: Early palliative care is recommended within eight-week of diagnosing advanced cancer. Although guidelines suggest routine screening to identify cancer patients who could benefit from palliative care, implementing screening can be challenging due to understaffing and time constraints.

Objectives: To develop and evaluate machine learning models for predicting specialist palliative care needs in advanced cancer patients undergoing chemotherapy, and to investigate if predictive models could substitute screening tools.