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O'Mahony J, Salter A, Ciftci-Kavaklioglu B, Fox RJ, Cutter GR, Marrie RA. Physical and Mental Health-Related Quality of Life Trajectories Among People With Multiple Sclerosis. Neurology 2022; 99:e1538-e1548. [PMID: 35948450 PMCID: PMC9576302 DOI: 10.1212/wnl.0000000000200931] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 05/19/2022] [Indexed: 11/25/2022] Open
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 or 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 the Patient-Determined Disease Steps scale). We included participants who were enrolled in the NARCOMS registry within 3 years of MS diagnosis, lived in the United States, reported physician-confirmed MS, and had ≥3 HRQoL observations. We used group-based trajectory modeling 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 1 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 5 distinct physical HRQoL trajectories and 4 distinct mental HRQoL trajectories. Older age at diagnosis, worse physical impairments, and worse fatigue were associated with an increased odds of being in the group with the worst physical HRQoL when compared with being in the other 4 groups. Income ≤$50,000 and no postsecondary education were associated with an increased odds of membership in the group with the lowest mental HRQoL when compared with that in the other 3 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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Affiliation(s)
- Julia O'Mahony
- From the Department of Internal Medicine (J.O.M.), University of Manitoba, Winnipeg, Canada; Department of Biostatistics (A.S.), The University of Texas Southwestern Medical Center, Dallas; Departments of Medicine and Community Health Sciences (B.C., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; and Department of Biostatistics (G.R.C.), University of Alabama at Birmingham.
| | - Amber Salter
- From the Department of Internal Medicine (J.O.M.), University of Manitoba, Winnipeg, Canada; Department of Biostatistics (A.S.), The University of Texas Southwestern Medical Center, Dallas; Departments of Medicine and Community Health Sciences (B.C., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; and Department of Biostatistics (G.R.C.), University of Alabama at Birmingham
| | - Beyza Ciftci-Kavaklioglu
- From the Department of Internal Medicine (J.O.M.), University of Manitoba, Winnipeg, Canada; Department of Biostatistics (A.S.), The University of Texas Southwestern Medical Center, Dallas; Departments of Medicine and Community Health Sciences (B.C., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; and Department of Biostatistics (G.R.C.), University of Alabama at Birmingham
| | - Robert J Fox
- From the Department of Internal Medicine (J.O.M.), University of Manitoba, Winnipeg, Canada; Department of Biostatistics (A.S.), The University of Texas Southwestern Medical Center, Dallas; Departments of Medicine and Community Health Sciences (B.C., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; and Department of Biostatistics (G.R.C.), University of Alabama at Birmingham
| | - Gary R Cutter
- From the Department of Internal Medicine (J.O.M.), University of Manitoba, Winnipeg, Canada; Department of Biostatistics (A.S.), The University of Texas Southwestern Medical Center, Dallas; Departments of Medicine and Community Health Sciences (B.C., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; and Department of Biostatistics (G.R.C.), University of Alabama at Birmingham
| | - Ruth Ann Marrie
- From the Department of Internal Medicine (J.O.M.), University of Manitoba, Winnipeg, Canada; Department of Biostatistics (A.S.), The University of Texas Southwestern Medical Center, Dallas; Departments of Medicine and Community Health Sciences (B.C., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; and Department of Biostatistics (G.R.C.), University of Alabama at Birmingham
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