Julia O'Mahony1, Amber Salter2, Beyza Ciftci3, Robert J Fox4, Gary R Cutter5, Ruth Ann Marrie3. 1. Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada julia.omahony@mail.utoronto.ca. 2. Department of Biostatistics, The University of Texas Southwestern Medical Center, Dallas, TX, United States. 3. Departments of Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada. 4. Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States. 5. Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, United States.
Abstract
BACKGROUND AND OBJECTIVES: Most studies of health-related quality of life (HRQoL) in multiple sclerosis (MS) have been cross-sectional. The few longitudinal studies have not accounted for potential heterogeneity in HRQOL trajectories. There may be groups of individuals with common physical and mental HRQoL trajectories over time. Identification of early risk factors for membership in trajectories with poor HRQoL would inform on those at risk. We aimed to identify physical and mental HRQoL trajectories among people with MS and early risk factors for membership in the trajectory groups with the worst HRQoL. METHODS: Between 2004 and 2020, we queried NARCOMS participants regarding HRQoL using the RAND-12, demographics, fatigue, and physical impairments (using Patient Determined Disease Steps). We included participants who were enrolled in the NARCOMS registry within three years of MS diagnosis, lived in the United States, reported physician-confirmed MS, and had ≥3 HRQoL observations. We used group-based trajectory modelling to determine whether there were distinct clusters of individuals who followed similar HRQoL trajectories over time. We evaluated whether baseline participant characteristics associated with the probability of trajectory group membership using a multinomial logit model. RESULTS: We included 4,888 participants who completed 57,564 HRQoL questionnaires between one and 27 years after MS diagnosis. Participants had a mean (SD) age of 41.7 (9.5) years at diagnosis, and 3,978 participants (81%) were women. We identified five distinct physical HRQoL trajectories and four distinct mental HRQoL trajectories. Older age at diagnosis, worse physical impairments, and worse fatigue were associated with increased odds of being in the group with the worst physical HRQoL when compared to the four other groups. Income ≤$50,000 and no post-secondary education were associated with increased odds of membership in the group with the lowest mental HRQoL when compared to the other three groups. DISCUSSION: We identified groups of people with MS who reported similar physical and mental HRQoL trajectories over time. There are early risk factors for membership in the groups with the worst HRQoL that are easily identifiable by clinicians, providing an opportunity for early interventions.
BACKGROUND AND OBJECTIVES: Most studies of health-related quality of life (HRQoL) in multiple sclerosis (MS) have been cross-sectional. The few longitudinal studies have not accounted for potential heterogeneity in HRQOL trajectories. There may be groups of individuals with common physical and mental HRQoL trajectories over time. Identification of early risk factors for membership in trajectories with poor HRQoL would inform on those at risk. We aimed to identify physical and mental HRQoL trajectories among people with MS and early risk factors for membership in the trajectory groups with the worst HRQoL. METHODS: Between 2004 and 2020, we queried NARCOMS participants regarding HRQoL using the RAND-12, demographics, fatigue, and physical impairments (using Patient Determined Disease Steps). We included participants who were enrolled in the NARCOMS registry within three years of MS diagnosis, lived in the United States, reported physician-confirmed MS, and had ≥3 HRQoL observations. We used group-based trajectory modelling to determine whether there were distinct clusters of individuals who followed similar HRQoL trajectories over time. We evaluated whether baseline participant characteristics associated with the probability of trajectory group membership using a multinomial logit model. RESULTS: We included 4,888 participants who completed 57,564 HRQoL questionnaires between one and 27 years after MS diagnosis. Participants had a mean (SD) age of 41.7 (9.5) years at diagnosis, and 3,978 participants (81%) were women. We identified five distinct physical HRQoL trajectories and four distinct mental HRQoL trajectories. Older age at diagnosis, worse physical impairments, and worse fatigue were associated with increased odds of being in the group with the worst physical HRQoL when compared to the four other groups. Income ≤$50,000 and no post-secondary education were associated with increased odds of membership in the group with the lowest mental HRQoL when compared to the other three groups. DISCUSSION: We identified groups of people with MS who reported similar physical and mental HRQoL trajectories over time. There are early risk factors for membership in the groups with the worst HRQoL that are easily identifiable by clinicians, providing an opportunity for early interventions.
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