Disease course in multiple sclerosis is notably heterogenous, and few prognostic indicators have been consistently associated with multiple sclerosis severity. In the general population, socioeconomic disparity is associated with multimorbidity and may contribute to worse disease outcomes in multiple sclerosis. Herein, we assessed whether indicators of socioeconomic status (SES) are associated with disease progression in people with multiple sclerosis using highly sensitive imaging tools like optical coherence tomography (OCT) and determined if differential multiple sclerosis management or comorbidity mediate any observed SES-associated effects. We included 789 participants with longitudinal OCT and low contrast letter acuity (LCLA; at 1.25% and 2.5%) in whom neighborhood- (derived via 9-digit postal codes) and participant-level SES indicators were available ≤10 years of MS symptom onset. Sensitivity analyses included participants with SES indicators available ≤3years of symptom onset (n = 552). Neighborhood-level indicators included state and national area deprivation indices (ADI), median household income, and the Agency for Healthcare Research and Quality (AHRQ) SES Index. Participant-level indicators included education level. Bi-annual OCT scans were segmented to quantify thickness of the composite macular ganglion cell+inner plexiform layer (GCIPL). We assessed the association between SES indicators and GCIPL atrophy or LCLA loss using mixed models adjusting for demographic (including race and ethnicity) and disease-related characteristics. We also assessed SES indicators in relation to multiple sclerosis therapy changes and comorbidity risk using survival analysis. More disadvantaged neighborhood-level and patient-level SES indicators were associated with faster retinal atrophy. Differences in rate of GCIPL atrophy for individuals in the top quartile (most disadvantaged) relative to the bottom quartile (least) for state ADI were -0.12 µm/year faster (95%CI: -0.19, -0.04; p = 0.003), for national ADI were -0.08 µm/year faster (95%CI: -0.15, -0.005; p = 0.02), for household income were -0.11 µm/year faster (95%CI: -0.19, -0.03; p = 0.008), for AHRQ SES Index were -0.12 µm/year faster (95% CI: -0.19, -0.04) and for education level were -0.17 µm/year faster (95%CI: -0.26, -0.08; p = 0.0002). Similar associations were observed for SES indicators and LCLA loss. Lower SES was associated with higher risk of incident comorbidity during follow-up. Low SES individuals had faster rates of therapy escalation, suggesting the association between SES and GCIPL atrophy may not be explained by differential contemporaneous multiple sclerosis therapy management. In conclusion, socioeconomic disparity is associated with faster retinal neurodegeneration in multiple sclerosis. As low SES was associated with a higher risk of incident comorbidities that may adversely affect multiple sclerosis outcomes, comorbidity prevention may mitigate some of the unfavorable SES-associated consequences.

Objectives: The objective of this study is to examine the burden of depressive symptoms across the adult age span in people with multiple sclerosis (MS) and test if the relationship between depressive symptoms and MS characteristics vary across age groups. Methods: In analyses of the MS Partners Advancing Technology and Health Solutions (MS PATHS) network of adults with MS, we compared the prevalence of depression in MS PATHS with non-MS controls across age and evaluated for effect modification by age in the association between depressive symptoms and clinical and neuroperformance measures via multivariable-adjusted regression models. Results: In total, 13,821 individuals with MS were included. The prevalence of depression was higher in MS versus non-MS controls, but was similar between men/women across age. The association between depression and processing speed (PST; p for interaction = 0.009) or walking speed ( p for interaction = 0.04) varied by age. For example, younger depressed individuals had 0.45 standard deviation (SD) (95% confidence interval (CI) = −0.62, −0.29) worse PST Z-scores versus non-depressed younger participants, whereas older depressed individuals had 0.20 SD (95% CI = −0.32, −0.08) worse PST Z-scores versus non-depressed older participants. Conclusion: Depressive symptoms and age should be considered when interpreting measures of walking speed and cognitive function; these findings may have implications for analyses of neuroperformance change.