Practical Recommendations for Implementing Remote Patient Monitoring for Patients Receiving Bispecific Antibodies for Multiple Myeloma

Authors:
Open Access
Publisher website
Google Scholar
Abstract
Bispecific antibodies are novel immunotherapies approved for the treatment of patients with relapsed or refractory multiple myeloma (MM). While these therapies induce deep and durable responses, they are associated with adverse events, such as cytokine release syndrome and immune effector cell–associated neurotoxicity syndrome, that require specific protocols for monitoring, prevention, and treatment. Due to the potential risk of cytokine release syndrome and immune effector cell–associated neurotoxicity syndrome, current US labeling recommends inpatient administration during step-up dosing of bispecific antibodies, which typically occurs in academic centers and can often restrict the number of patients that can be treated. The administration of bispecific antibodies in the outpatient and community setting can enhance the patient experience and reduce resource use, which is a barrier to the widespread uptake of these treatments. With bispecific antibodies being evaluated in earlier lines of therapy for MM, the broader use of these agents will underscore the need for more accessible and less resource-intensive options that ensure safe outpatient administration. In this Viewpoint, we aim to provide practical recommendations built from our own real-world perspectives and case examples for institutions seeking to implement remote patient monitoring (RPM) strategies to support the outpatient dosing of bispecific antibodies in patients with MM. We discuss how the use of RPM has the potential to improve adverse event detection and management, improve patient outcomes, and decrease resource use and costs. While specific approaches will vary based on the needs of each treatment center, our experiences suggest that RPM implementation can be safe and feasible for both academic and community practices.

This publication has 38 references indexed in Scilit: