QOL-22. IDENTIFYING HEALTH STATUS PROFILES AMONG LONG-TERM CNS TUMOR SURVIVORS: A LATENT PROFILE ANALYSIS

Abstract

Abstract CNS tumors are associated with a high mortality rate, quick onset, limited therapeutic options, and a devastating symptom burden that has a negative impact on general health status and results in functional limitations. While research is focused on development of new therapies, little is known about the health status of long-term survivors. We aimed to identify subgroups of CNS tumor survivors ( > 5 years from diagnosis) with distinct health profiles using latent profile analysis ordinal logit estimation in Mplus V8.8. General health status was measured using the EQ-5D-3L (dimensions: mobility, self-care, usual activities, pain/discomfort, anxiety/depression). Associations with demographic/clinical characteristics were identified with Pearson’s correlations and chi-square tests. Sample median age was 48 years (range: 21-85), 54% were male, 82% Caucasian, 56% employed, and 53% had a KPS ≥ 90. Most had a high-grade glioma (60%), at least one recurrence (70%), and 17% were on active treatment. Two subgroups were identified: good health status (GHS) (n=183) and poor health status (PHS) (n=115). Most patients in the GHS ( > 86%) reported no issues with mobility or usual activities and 100% had no self-care issues. However, 38% did report some problems with anxiety and depression and 21% had pain. PHS class was characterized by > 94% having at least moderate issues with mobility and usual activities and over 50% having pain, self-care issues, and anxiety and depression. Older age (r=0.21), spine tumors (OR=3.3), active treatment at assessment (OR=2.9), tumor recurrence (OR=4.2), unemployment (OR=3.5), and poor KPS scores (OR=18.1) were associated with belonging in the PHS. While maintaining physical health and function may contribute to better health status in long-term survivors, patients dealing with tumor recurrence, ongoing treatments, and spine tumors may face significant challenges. These functional profiles can be used to develop survivorship care plans and supportive care interventions.