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Abstract

Background:

Evidence suggests a prodromal phase in multiple sclerosis (MS) identifiable via healthcare use, including psychiatric symptoms. The association between psychiatric morbidity in this phase and future outcomes remains unclear.

Objectives:

We investigated the association between psychiatric morbidity in the 5-years pre-MS onset and subsequent disability (EDSS) scores.

Methods:

We identified MS patients who visited an MS clinic in British Columbia, Canada (1991–2018) and linked their clinical and population-based health administrative data. Psychiatric morbidity was identified using physician/hospital visits in the 5-years pre-MS onset. Multivariable generalized linear models examined the association between psychiatric morbidity and subsequent EDSS scores. We explored effect modification by sex, age, and MS course and investigated if high psychiatric-related physician visits (>median) or hospitalizations (measures of “psychiatric morbidity burden”) were associated with EDSS scores.

Results:

Among 2212 MS patients, 481 (21.7%) had psychiatric morbidity in the 5-years pre-MS onset. Follow-up averaged 5.2 (SD: 4.9) years (first-to-last EDSS assessment). Psychiatric morbidity pre-MS onset was associated with higher post-diagnosis EDSS scores (covariate-adjusted[adj) β = 0.17; 95% confidence interval (CI): 0.03–0.30). Associations were more pronounced in males (adjβ = 0.43; 95% CI: 0.04–0.83), <30 years (adjβ = 0.44; 95% CI: 0.15–0.73), relapsing-onset-MS (adjβ = 0.22; 95% CI: 0.08–0.37) and high psychiatric-related physician visit burden (adjβ = 0.23; 95% CI: 0.05–0.41), or hospitalizations (adjβ = 0.48; 95% CI: 0.002–0.96).

Conclusions:

Psychiatric morbidity before MS recognition was associated with increased future disability, particularly in males, younger individuals, relapsing-onset-MS, and high pre-MS onset psychiatric morbidity burden.

Keywords

Multiple sclerosis prodrome psychiatric morbidity neurological disability population-based data

Introduction

Growing evidence has indicated the presence of a potential prodromal phase in multiple sclerosis (MS).¹ A psychiatric dimension to this prodrome has also emerged.² In the 5 years before disease onset, people with MS (pwMS) are more likely to experience psychiatric conditions compared with the general population,³ and to use more mental health services including physician visits, and hospital admissions.⁴

Psychiatric disease negatively affects quality of life of pwMS.⁵ Its presence after classical MS symptom onset is also associated with greater disability accumulation over time.⁶ However, our understanding of the association between psychiatric morbidity occurring before the formal recognition of MS and subsequent disability accrual remains limited.

Utilizing linked clinical and health administrative data, we explored the relationship between psychiatric morbidity in the 5 years before MS symptom onset (the presumed prodromal period) and subsequent neurological disability, measured by the Expanded Disability Status Scale (EDSS), to investigate the link between early psychiatric morbidity and disability accumulation in MS. In addition, we evaluated how the frequency of healthcare utilization for psychiatric morbidity (i.e., number of physician visits and hospitalizations) in the 5-years pre-MS symptom onset, as a measure of psychiatric morbidity burden, is associated with EDSS in pwMS.

Methods

Data collection

This retrospective cohort study linked MS-specific clinical records with population-based health administrative data from the province of British Columbia (BC), Canada. BC has a population of 5.3 million and a publicly funded healthcare system that provides universal access to medical services for all residents. MS-specific clinical data were available in BC, and included MS symptom onset date, disease course (relapsing or progressive onset), and EDSS scores recorded by an MS neurologist at routine clinic visits with corresponding dates. Utilizing each individual’s unique personal health care number, clinical data were linked to prospectively collected health administrative information. These data captured information on virtually every health encounter province-wide, including physician visits/hospitalizations, with diagnoses coded using the International Classification of Diseases (ICD) 9/10 system, complemented by BC-specific codes.⁷ In addition, data included every disease-modifying drug (DMD) prescription dispensation at outpatient/community pharmacies in BC, as well as demographic (sex/age), socioeconomic, residency details (postal codes), and death dates. Socioeconomic status (SES) estimates (quintiles) were derived using a Statistics Canada algorithm linking each individual’s postal code with their census-derived mean neighborhood-level income.⁸ All data were de-identified before analyses.

Study participants

The study cohort comprised all individuals diagnosed with MS at one of the four BC MS clinics based on the prevailing criteria. The study index date was the MS symptom onset date, as recorded by a neurologist during a clinic visit. To select incident MS, patients were required to reside in BC for ⩾90% of the days each year in the 5-years pre-index date. Individuals were followed from 5 years before MS symptom onset to their last recorded EDSS before death, emigration (>90 consecutive days without registration in the mandatory provincial health plan), or 30 September 2018 (study end). All data were available from 1 January 1991 to 30 September 2018. To allow a 5-years follow-up pre-MS onset, the earliest possible index date was 1 January 1996.

Exposure and outcome

Psychiatric morbidity was defined using a validated case definition, encompassing ICD codes for depression, anxiety, bipolar disorder, and/or schizophrenia. The definition required ⩾5 relevant psychiatric-related physician visits occurring on different days and/or ⩾1 psychiatric-related hospitalization (Supplemental Table 1) within a 5-years period.^4,9 Visits (physician or hospital) could contribute to the case definition from the 5-years pre-index date onwards, with ⩾1 visit occurring within 5-years pre-MS symptom onset. Psychiatric morbidity during the prodromal period was considered present from the earliest physician visit/hospitalization onwards.

The study outcome was neurological disability, measured by the EDSS.

Supplemental Figure 1 shows the study timeline.

Statistical analysis

We summarized the characteristics of the study cohort at the index date and the presence of psychiatric morbidity in the 5 years before MS onset. Associations between psychiatric morbidity during the 5-years pre-MS symptom onset (the exposure) and all available EDSS scores (the outcome) were examined using a multivariable generalized linear model with an identity link fitted by generalized estimating equations (GEE) with an exchangeable working correlation structure. All EDSS scores collected during follow-up were analyzed; the GEE model accounted for dependence of repeated observations within individuals. Results were adjusted (adj) for sex, age at MS symptom onset (continuous), calendar year (continuous), SES (quintiles; Q1–5; Q1 (most deprived) as reference), and disease course (relapsing-onset vs progressive-onset) at the index date. Time-varying covariates at each EDSS assessment included disease duration, prior DMD exposure (yes/no), and comorbidity score (using the Charlson Comorbidity Index (CCI), with ICD codes from hospital/physician visits in the previous 12 months (excluding hemiplegia/paraplegia to avoid misclassifying MS as a comorbidity), and categorized as 0, 1, or ⩾2). Interaction terms were used to assess whether sex, age at MS onset (<30, 30–49, and ⩾50 years), and MS course modified the association between psychiatric morbidity and EDSS scores, as these are known to influence MS progression and psychiatric comorbidities.^10–14 Results were presented as adjβ-coefficients with 95% confidence intervals (CIs). As a post hoc analysis to determine whether higher disability in participants with psychiatric morbidity stemmed from worse baseline status or from faster progression, we used the primary GEE model with baseline EDSS entered as an additional covariate.

Complementary analyses

We explored the association between psychiatric-related burden and EDSS scores. Among individuals fulfilling the criteria for psychiatric morbidity, we defined a high physician visit burden as having psychiatric-related physician visits above the median. We used visit frequency as a proxy for higher illness burden as population studies show frequent attenders have higher chronic-disease and psychiatric morbidity. Similarly, we assessed individuals with a hospitalization burden, defined as having ⩾1 psychiatric-related hospitalization. Using a similar approach as before, multivariable generalized linear models examined the association of these two groups separately with subsequent EDSS scores, with individuals not meeting the criteria for psychiatric morbidity being the reference group.

Analyses were conducted using R (v4.1.0; Vienna, Austria).

The study was approved by University of British Columbia’s Clinical Research Ethics Board (H20-03232).

Results

The cohort comprised 2212 pwMS; 73.6% were female. The average (SD) age at MS onset = 37.8 (11.3) years. At the index date, 14.6% had a CCI score ⩾ 1, and 89.3% had relapsing-onset MS. During the 5-years pre-MS onset, 481 (21.7%) had psychiatric morbidity. Of these, 86.5% were female, with an average (SD) age at MS onset of 39.1 (10.4) years; 89.0% had relapsing-onset MS (Table 1).

Table 1.

Characteristics of patients with multiple sclerosis (MS) from British Columbia, Canada at MS symptom onset.

Characteristics	Total population (N = 2212)	No psychiatric morbidity (N = 1731)	Psychiatric morbidity‡ (N = 481)
Females, n (%)	1627 (73.6)	1211 (70.0)	416 (86.5)
Age at MS symptom onset in years, mean (SD)	37.8 (11.3)	37.5 (11.5)	39.1 (10.4)
Age group, n (%)
<30 years	605 (27.4)	503 (29.1)	102 (21.2)
30 to 49 years	1273 (57.5)	971 (56.1)	302 (62.8)
⩾50 years	334 (15.1)	257 (14.8)	77 (16.0)
Socioeconomic status, n (%)
1 (most deprived)	355 (16.0)	269 (15.5)	86 (17.9)
2	376 (17.0)	292 (16.9)	84 (17.5)
3 or missing*	514 (23.2)	362 (20.9)	107 (22.2)
4	491 (22.2)	389 (22.5)	102 (21.2)
5 (most affluent)	476 (21.5)	381 (22.0)	95 (19.8)
Index year, n (%)
1996–2004	1271 (57.5)	992 (57.3)	279 (58.0)
2005–2013	821 (37.2)	642 (37.1)	179 (37.2)
2014–2018	120 (5.4)	97 (5.6)	23 (4.8)
Charlson Comorbidity score, n (%) †
0	1890 (85.4)	1509 (87.2)	381 (79.2)
1	246 (11.1)	171 (9.9)	75 (15.6)
⩾2	76 (3.4)	51 (2.9)	25 (5.2)
MS disease course, n (%)
Relapsing-onset	1975 (89.3)	1547 (89.4)	428 (89.0)
Primary progressive	237 (10.7)	184 (10.6)	53 (11.0)

MS: Multiple sclerosis; SD: standard deviation; N/A: Not available. *Information was missing for 45 (2.0%) patients. Those with missing SES were assigned to quintile 3. †Comorbidity score was measured by using the Charlson Comorbidity Index (excluding hemiplegia/paraplegia) during the year pre-index date. ‡Psychiatric morbidity was considered present when an individual presented at least five relevant psychiatric-related physician visits and/or one psychiatric-related hospital admission within a 5-years period before MS onset. Visits could contribute from the 5th-year pre-MS symptom onset onwards, with ⩾1 visit occurring during this period. Psychiatric morbidity was considered present from the earliest visit onwards.

The mean (SD) time from MS symptom onset to the first recorded EDSS was 3.2 (3.3) years and from first-to-last EDSS was 5.2 (4.9) years. The mean (SD) number of EDSS assessments was 5.5 (4.4). The median (IQR) EDSS at first assessment was 2.0 (1.5) and 2.5 (2.5) at last follow-up. A total of 1117 (50.5%) individuals were exposed to any DMD during follow-up.

Psychiatric morbidity during the 5 years before MS onset was significantly associated with higher subsequent EDSS scores (adjβ-coefficient = 0.17; 95% CI: 0.03–0.30) over follow-up. When examined for whether sex, age at MS onset, or MS course modified the association between psychiatric morbidity and future EDSS, the relationship was more pronounced for males (adjβ-coefficient = 0.43; 95% CI: 0.04–0.83; p = 0.03), younger individuals (<30 years; adjβ-coefficient = 0.44; 95% CI: 0.15–0.73; p < 0.01), and those with relapsing-onset MS (adjβ-coefficient = 0.22; 95% CI: 0.08–0.37; p < 0.01). Results were not significant for females, older persons, or those with progressive-onset MS, although some 95% CIs were wide (Figure 1). When baseline EDSS was added to the model, the association between psychiatric morbidity and subsequent EDSS was markedly attenuated (adjβ = 0.06; 95% CI: −0.04 to 0.15) while baseline EDSS was strongly predictive of later scores (adjβ = 0.72; 95% CI: 0.69–0.76). DMD exposure did not materially change the association between psychiatric morbidity and subsequent EDSS: uptake did not differ between groups (p = 0.21); removing DMD from the model changed β by 6%; and the psychiatric morbidity×DMD interaction was not significant (p = 0.71) (analyses not shown).

Figure 1.

Effect of sex, age at MS onset, and MS course on the association between psychiatric morbidity pre-MS symptom onset and future neurological disability as measured by the Expanded Disability Status Scale (EDSS).

In the complementary analysis, 235/481 (48.9%) individuals with psychiatric morbidity were classified as having a high psychiatric-related physician visit burden per its definition (see complementary analyses), while 37/481 (7.7%) had a hospitalization burden. Compared with those with no psychiatric morbidity, a high psychiatric-related physician visit burden in the 5-years pre-MS onset was associated with increased EDSS scores (adjβ-coefficient = 0.23; 95% CI: 0.05–0.41; p = 0.01). Similarly, having ⩾1 psychiatric-related hospitalization was also associated with higher EDSS scores (adjβ-coefficient = 0.48; 95% CI: 0.002–0.96; p = 0.049). Sex, age at MS onset, and MS course modified the association between psychiatric morbidity burden and future EDSS (Figure 2). For those with a high psychiatric-related physician visit burden, the relationship was more pronounced for females (adjβ-coefficient = 0.21; 95% CI: 0.01–0.40; p = 0.04), those younger at MS onset (⩽30 years: adjβ-coefficient = 0.50; 95% CI: 0.09–0.91; p = 0.02; 30–49 years: adjβ-coefficient = 0.24; 95% CI: 0.02–0.45; p = 0.03), and with relapsing-onset MS (adjβ-coefficient = 0.30; 95% CI: 0.11–0.49; p < 0.01). Findings were in a similar direction for those younger at MS onset (⩽30 years: adjβ-coefficient = 1.29; 95% CI: 0.39–2.18; p < 0.01) with hospitalization burden. Results were not statistically significant for males, older persons, or those with progressive-onset MS, although the 95% CIs were rather wide.

Figure 2.

The burden of physician visit or hospitalization-related psychiatric morbidity in the 5 years before MS onset and future Expanded Disability Status Scale (EDSS) scores and the effect of sex, age at MS onset, and MS course.

Discussion

In this large cohort study linking MS-specific clinical records with population-based health administrative data, psychiatric morbidity before MS onset was associated with greater subsequent neurological disability. This association was particularly pronounced in males, individuals <30 years, and those with relapsing-onset MS. These findings suggest that psychiatric morbidity, even in the very early stages of the disease, can be associated with future neurological disability in MS, particularly in these specific subgroups.

We were unable to find another study exploring the association between psychiatric morbidity pre-MS onset and future disability outcomes. Previous studies examining this association post-MS onset have yielded mixed results.^15–18 However, most either relied on self-reported data (e.g., patient-reported EDSS scores) or used cross-sectional designs, which may have contributed to variability in findings. Nonetheless, our results align with two longitudinal studies conducted in Canada and Sweden, and a meta-analyses using data from several phase 3 MS-DMD clinical trials. The Canadian study, which included 2312 pwMS, some who may overlap with our cohort due to shared data sources, found that mood and/or anxiety disorders, mostly measured post-MS onset, were significantly associated with higher future EDSS (adjβ coefficient = 0.28, p < 0.01).⁶ The Swedish study, involving 5875 pwMS, showed that those with depression had a significantly higher risk of reaching various EDSS-related disability milestones, including a subgroup diagnosed with depression in the 2-years pre-MS onset.¹⁹ This study focused exclusively on individuals with unipolar depression and relied solely on specialist care data. In contrast, our study offers a more comprehensive and representative picture of psychiatric morbidity in the MS population by examining a broader spectrum of conditions and incorporating data from all healthcare interactions, including primary care. Finally, a cohort study using a meta-analytic approach to assess comorbidities in >16,000 MS clinical trial participants found that the risk of disability worsening and disease relapse progressively increased with the number of psychiatric comorbidities.²⁰ When specific conditions were analyzed, only depression was significantly associated with these outcomes, whereas anxiety and other psychiatric disorders were not independently linked to disability worsening or disease relapse.²⁰ While that study provides further evidence of the association between psychiatric comorbidities and MS outcomes, it differs from ours in several aspects. Specifically, it assessed individuals only post-MS diagnosis and relied on clinical trial populations, potentially limiting generalizability of its findings to the broader MS population. In addition, comorbidity status across the different trials was based on medical records, which likely varied in accuracy. Information on the timing of comorbidity development was unavailable, limiting the ability to examine its temporal relationship with MS outcomes.

The association between psychiatric morbidity and future neurological disability may be influenced by several mechanisms. Inflammatory dysregulation, a core feature of early MS pathology, has been implicated in the development of psychiatric disorders²¹ and could contribute to increased neurodegeneration and subsequent disability. In addition, psychiatric morbidity may lead to maladaptive coping strategies and poor health behaviors, such as smoking,²² physical inactivity,²³ or DMD non-adherence,²⁴ potentially altering MS course. Conversely, psychiatric morbidity might develop in response to the experience of worsening disability.²⁵ However, this seems unlikely for the psychiatric morbidity observed in our cohort, as we examined psychiatric conditions occurring pre-MS symptom onset, a disease stage where disability is likely minimal/absent. It remains possible, though, that some psychiatric morbidity arose as a consequence of being in the early stages of the disease, that is, in response to other nonspecific signs/symptoms often experienced in the MS prodrome.³

Finally, higher psychiatric morbidity and faster disability accumulation may, to some degree, be driven by differences in SES, as individuals with lower SES often experience greater exposure to chronic stress, reduced healthcare access, and higher comorbidity burden. Lower SES is also associated with maladaptive coping behaviors, such as lower treatment adherence or unhealthy lifestyle choices, which may further influence disease progression.²⁶ Although our analyses adjusted for SES, residual confounding is possible, as neighborhood-based income measures may not fully capture individual socioeconomic disparities.²⁷

We found that the association between psychiatric morbidity pre-MS onset and future disability was stronger in male pwMS. Previous studies on psychiatric morbidity occurring after MS onset have shown inconsistent results, with some reporting significant associations only in females.⁶ Our findings suggest that sex may interact with disability differently when psychiatric conditions develop before MS onset. However, the wide CIs for males indicate variability, underscoring the need for larger cohorts to confirm these differences. We also observed a more pronounced association in younger individuals. Although reasons are not entirely clear, contributing factors could include less effective coping mechanisms,²⁸ age-specific stressors,²⁹ higher frequency of unhealthy behaviors,³⁰ more inflammatory MS activity,³¹ and differential impact of treatment decisions across younger pwMS,³² among others. Another possible explanation is that in younger individuals, who generally have lower disability and shorter disease duration, the disease trajectory may be more easily altered, making changes in disability more noticeable. Finally, the association appeared stronger in individuals with relapsing-onset MS, perhaps reflecting the higher inflammatory activity characteristic of early disease; psychiatric symptoms are closely linked to such activity and can even precede clinical relapses/radiological disease activity.²¹ The influence of psychiatric conditions may also diminish in the face of advanced neurodegenerative changes, perhaps accelerated by aging. This would align with the weaker association observed in progressive-onset MS and older subjects. However, the smaller sample size for progressive-onset MS might have limited our ability to detect associations. In addition, interpreting findings in this subgroup can be challenging due to difficulties in assigning them a clear symptom onset.

Our complementary analysis, examining the relationship between psychiatric morbidity and future EDSS in subgroups of individuals with high psychiatric-related physician visit burden and psychiatric hospitalizations pre-MS symptom onset, revealed a more pronounced association when these specific burdens were considered, particularly for psychiatric hospitalizations. For instance, individuals <30 years with psychiatric morbidity and ⩾1 psychiatric hospitalization in the 5 years before MS onset showed a substantially higher estimated increase in their EDSS (adjβ coefficient = 1.29, p < 0.01) compared with those without psychiatric morbidity. Although nonsignificant, results were on a similar direction for individuals with ⩾1 psychiatric hospitalization and primary progressive onset. The stronger association between psychiatric morbidity and future MS disability outcomes when these healthcare use-related burdens were considered might be explained by several potential mechanisms. For instance, increased psychiatric-related healthcare use, particularly hospitalizations, could reflect greater severity of psychiatric illness, which may in turn negatively impact MS outcomes. High visit frequency also likely captures downstream care needs (e.g., medication adjustments, crisis follow-ups, and safety assessments) reinforcing its role as an indicator of symptom load and treatment complexity. Alternatively, a more active early/prodromal MS phase might lead to increased psychiatric morbidity, resulting in higher utilization of psychiatric healthcare services. It is also possible that both mechanisms contribute partially to this association and reinforce one another. Studies allowing to access a diverse range of health-related behaviors before MS onset will be necessary to clarify the complex interplay between psychiatric-related healthcare use and MS disability.

Our study has several limitations. First, the associations observed may be confounded by unmeasured factors, including differential access to care or underlying health behaviors not captured in the data. Second, administrative data cannot fully capture self-managed symptoms or encounters with non-physician providers (e.g., counselors and therapists). In addition, the study lacked details on the severity of mental health symptoms, treatment adherence, or quality of care, which could influence the observed relationships. We also did not have MRI data; however, as early prodromal MS symptoms are frequently nonspecific, they may not trigger imaging studies during this phase of the disease. It is possible that neurologists may occasionally misdate first MS symptoms, so a small fraction of psychiatric encounters could occur after rather than before MS clinical onset, but this should affect only a minority of cases and is unlikely to alter our results. Post hoc adjustments suggest that the excess disability in individuals with psychiatric morbidity pre-MS onset is largely explained by their higher disability at baseline rather than by accelerated accumulation thereafter. Finally, frequency of psychiatric morbidity may be underestimated due to the low sensitivity of administrative data, care avoidance due to stigma, and physician under-coding. These limitations warrant cautious interpretation of the findings and underscore priorities for future research.

Study strengths include the use of a large, representative cohort of MS-clinic attendees over nearly three decades, and the prospective collection of data, with exposures and outcomes recorded independently, minimizing recall and related biases. The broad inclusion criteria reduced selection bias, while the application of a validated algorithm, using information from virtually every health encounter in the province, ensured accurate identification of psychiatric morbidity. These methodological strengths contribute to the robustness of our findings.

Conclusion

Psychiatric morbidity is highly prevalent in MS and was associated with greater subsequent neurological disability even when present before MS onset. Males, younger individuals, and those with relapsing-onset MS were more predisposed to increased future disability in the presence of psychiatric morbidity in the 5 years before onset of MS. These associations were stronger in individuals with a high burden of psychiatric-related visits and psychiatric hospitalizations.

Psychiatric conditions often remain underdiagnosed and undertreated in MS,^33,34 despite availability of effective treatments.³⁵ Given that psychiatric conditions can appear very early in MS and are associated with future neurological disability, they likely need to be assessed and managed at the time of MS diagnosis, or even earlier if possible. Future research should explore whether promptly addressing psychiatric morbidity with appropriate interventions, such as counseling, psychotherapy, or medication, can potentially mitigate disability accumulation in MS.

Supplemental Material

sj-docx-1-msj-10.1177_13524585251382801 – Supplemental material for Psychiatric morbidity during the multiple sclerosis prodrome is associated with future disability

Supplemental material, sj-docx-1-msj-10.1177_13524585251382801 for Psychiatric morbidity during the multiple sclerosis prodrome is associated with future disability by Anibal S Chertcoff, Marta Ruiz-Algueró, Fardowsa Yusuf, Yinshan Zhao, Feng Zhu, Ruth Ann Marrie and Helen Tremlett in Multiple Sclerosis Journal

Supplemental Material

sj-tif-2-msj-10.1177_13524585251382801 – Supplemental material for Psychiatric morbidity during the multiple sclerosis prodrome is associated with future disability

Supplemental material, sj-tif-2-msj-10.1177_13524585251382801 for Psychiatric morbidity during the multiple sclerosis prodrome is associated with future disability by Anibal S Chertcoff, Marta Ruiz-Algueró, Fardowsa Yusuf, Yinshan Zhao, Feng Zhu, Ruth Ann Marrie and Helen Tremlett in Multiple Sclerosis Journal

Footnotes

Acknowledgements

Access to data provided by the Data Steward(s) is subject to approval, but can be requested for research projects through the Data Steward(s) or their designated service providers. All inferences, opinions, and conclusions drawn in this publication are those of the author(s), and do not reflect the opinions or policies of the Data Steward(s). The authors thank the British Columbia Multiple Sclerosis Clinic neurologists who contributed to the study through patient examination (current/active members at the time of data extraction listed here by primary clinic): UBC MS Clinic: V. Devonshire, MD, FRCPC; A-L. Sayao, MD, FRCPC; A. Traboulsee, MD, FRCPC; S. Hashimoto, MD, FRCPC (UBC and Victoria MS Clinics); J. Hooge, MD, FRCPC (UBC and Prince George MS Clinic); L. Kastrukoff, MD, FRCPC (UBC and Prince George MS Clinic); J. Oger, MD, FRCPC. Kelowna MS Clinic: D. Adams, MD, FRCPC; D. Craig, MD, FRCPC; S. Meckling, MD, FRCPC. Prince George MS Clinic: L. Daly, MD, FRCPC. Victoria MS Clinic: O. Hrebicek, MD, FRCPC; D. Parton, MD, FRCPC; K Atwell-Pope, MD, FRCPC. The views expressed in this paper do not necessarily reflect the views of each individual acknowledged.

Contributions

Anibal S Chertcoff: Drafting/revision of the manuscript for content, including medical writing for content; major role in the acquisition of data; study concept or design; analysis or interpretation of data. Marta Ruiz-Algueró: Drafting/revision of the manuscript for content, including medical writing for content; major role in the acquisition of data; study concept or design; analysis or interpretation of data. Fardowsa Yusuf: Drafting/revision of the manuscript for content, including medical writing for content; major role in the acquisition of data; study concept or design; analysis or interpretation of data. Yinshan Zhao: Drafting/revision of the manuscript for content, including medical writing for content; major role in the acquisition of data; study concept or design; analysis or interpretation of data. Feng Zhu: Drafting/revision of the manuscript for content, including medical writing for content; major role in the acquisition of data; study concept or design; analysis or interpretation of data. Ruth Ann Marrie: Drafting/revision of the manuscript for content, including medical writing for content; major role in the acquisition of data; study concept or design; analysis or interpretation of data. Helen Tremlett: Drafting/revision of the manuscript for content, including medical writing for content; major role in the acquisition of data; study concept or design; analysis or interpretation of data.

Data Availability Statement

Access to data provided by the Data Stewards is subject to approval but can be requested for research projects through the Data Stewards or their designated service providers. The following data sets were used in this study: Consolidation File, Medical Services Plan Payment Information File, Discharge Abstract Database, PharmaNet, Medical Services Plan Registration and Premium Billing Files, and Vital Statistics. You can find further information regarding these data sets by visiting Population Data BC’s project webpage at: . All inferences, opinions, and conclusions drawn in this publication are those of the author(s) and do not reflect the opinions or policies of the Data Steward(s).

Declaration of Conflicting Interests

The authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Anibal S Chertcoff has received funding from MS Canada’s endMS Postdoctoral Fellowship and from the Michael Smith Foundation for Health Research Trainee Award; he has also received support from Novartis to attend a scientific meeting. Marta Ruiz-Algueró receives funding from the Michael Smith Foundation for Health Research Trainee Award in partnership with Tai Hung Fai Charitable Foundation and Edwin S.H. Leong Centre for Healthy Aging. Yinshan Zhao and Feng Zhu have no disclosures. Ruth Ann Marrie receives research funding from CIHR, MS Canada, Crohn’s and Colitis Canada, National Multiple Sclerosis Society, CMSC, the Arthritis Society, the US Department of Defense, and is a co-investigator on studies receiving funding from Biogen Idec and Roche Canada. She holds the Waugh Family Chair in Multiple Sclerosis. Helen Tremlett has, in the last 5 years, received research support from the Canada Research Chair Program, the National Multiple Sclerosis Society, the Canadian Institutes of Health Research, MS Canada, the Multiple Sclerosis Scientific Research Foundation, and the EDMUS Foundation (“Fondation EDMUS contre la sclérose en plaques”). In addition, in the last 5 years, has had travel expenses or registration fees prepaid or reimbursed to present at CME conferences or attend meetings (e.g., as a member of the International Advisory Committee on Clinical Trials in Multiple Sclerosis) from the Consortium of MS Centres (2023), the Canadian Neurological Sciences Federation (2023), National MS Society (2022-2025), ECTRIMS/ACTRIMS (2017–2025), MS Canada (2023, 2025), and the American Academy of Neurology (2019). Speaker honoraria are either declined or donated to an MS charity or to an unrestricted grant for use by HT’s research group.

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National MS Society (US) and MS Canada (RG5063A4/1/RFA-2103-37392; EGID:P002/903124; PI: Tremlett). The funding sources had no role in study design, data collection, data analysis, data interpretation, or writing of the report.

ORCID iDs

Anibal S Chertcoff

Marta Ruiz-Algueró

Ruth Ann Marrie

Helen Tremlett

Supplemental Material

Supplemental material for this article is available online.

References

Wijnands

JMA

Kingwell

Zhu

, et al. Health-care use before a first demyelinating event suggestive of a MS prodrome. Lancet Neurol 2017; 16: 445–451.

Yusuf

FLA

Wijnands

JMA

, et al. A systematic review of morbidities suggestive of the multiple sclerosis prodrome. Expert Rev Neurother 2020; 20(8): 799–819.

Wijnands

Zhu

Kingwell

, et al. Five years before multiple sclerosis onset: Phenotyping the prodrome. Mult Scler 2019; 25(8): 1092–1101.

Chertcoff

Yusuf

FLA

Zhu

, et al. Psychiatric comorbidity during the prodromal period in patients with multiple sclerosis. Neurology 2023; 101: e2026–e2034.

Marrie

Patten

Berrigan

, et al. Diagnoses of depression and anxiety versus current symptoms and quality of life in multiple sclerosis. Int J MS Care 2018; 20(2): 76–84.

McKay

Tremlett

Fisk

, et al. Psychiatric comorbidity is associated with disability progression in multiple sclerosis. Neurology 2018; 1090: e1316–e1323.

Government of British Columbia. Diagnostic code descriptions (Additional diagnostic codes). British Columbia Ministry of Health, 2017. Available at: https://www2.gov.bc.ca/assets/gov/health/practitioner-pro/medical-services-plan/additional-diag-codes.pdf (accessed June 2024).

Canadian Institute for Health Information. Health Indicators 2013. Ottawa, ON: CIHI; 2013, https://www.cihi.ca/sites/default/files/document/health-indicators-2013-en.pdf (accessed December 2023).

Marrie

Fisk

, et al. Mental comorbidity and multiple sclerosis: Validating administrative data to support population-based surveillance. BMC Neurol 2013; 6: 13–16.

10.

Koch

Kingwell

Rieckmann

, et al. The natural history of secondary progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 2010; 81: 1039–1043.

11.

Runmarker

Andersen

. Prognostic factors in a multiple sclerosis incidence cohort with twenty-five years of follow-up. Brain 1993; 116(Pt. 1): 117–134.

12.

Andersen

Buron

Magyari

. Late-onset MS is associated with an increased rate of reaching disability milestones. J Neurol 2021; 268(9): 3352–3360.

13.

Gobinath

Choleris

Galea

. Sex, hormones, and genotype interact to influence psychiatric disease, treatment, and behavioral research. J Neurosci Res 2017; 95: 50–64.

14.

Solmi

Radua

Olivola

, et al. Age at onset of mental disorders worldwide: Large-scale meta-analysis of 192 epidemiological studies. Mol Psychiatry 2022; 27(1): 281–295.

15.

Chwastiak

Ehde

Gibbons

, et al. Depressive symptoms and severity of illness in multiple sclerosis: Epidemiologic study of a large community sample. Am J Psychiatry 2002; 159(11): 1862–1868.

16.

Haase

Lienemann

Faustmann

. Neuropsychological deficits but not coping strategies are related to physical disability in multiple sclerosis. Eur Arch Psychiatry Clin Neurosci 2008; 258: 35–39.

17.

Möller

Wiedemann

Rohde

, et al. Correlates of cognitive impairment and depressive mood disorder in multiple sclerosis. Acta Psychiatr Scand 1994; 89(2): 117–121.

18.

Koch

Mostert

Heerings

, et al. Fatigue, depression and disability accumulation in multiple sclerosis: A cross-sectional study. Eur J Neurol 2009; 16(3): 348–352.

19.

Binzer

McKay

Brenner

, et al. Disability worsening among persons with multiple sclerosis and depression: A Swedish cohort study. Neurology 2019; 93: e2216–e2223.

20.

Salter

Lancia

Kowalec

, et al. Comorbidity and disease activity in multiple sclerosis. JAMA Neurol 2024; 81: 1170–1177.

21.

Rossi

Studer

Motta

, et al. Neuroinflammation drives anxiety and depression in relapsing-remitting multiple sclerosis. Neurology 2017; 89: 1338–1347.

22.

McKay

Tremlett

Fisk

, et al. Adverse health behaviours are associated with depression and anxiety in multiple sclerosis: A prospective multisite study. Mult Scler 2016; 22(5): 685–693.

23.

Kangas

Baldwin

Rosenfield

, et al. Examining the moderating effect of depressive symptoms on the relation between exercise and self-efficacy during the initiation of regular exercise. Health Psychol 2015; 34(5): 556–565.

24.

Bruce

Hancock

Arnett

, et al. Treatment adherence in multiple sclerosis: Association with emotional status, personality, and cognition. J Behav Med 2010; 33(3): 219–227.

25.

Patten

Metz

. Hopelessness ratings in relapsing-remitting and secondary progressive multiple sclerosis. Int J Psychiatry Med 2002; 32(2): 155–165.

26.

Marrie

Salter

Tyry

, et al. The impact of socioeconomic status on mental health and health care access in multiple sclerosis. Mult Scler Relat Disord 2022; 57: 103327.

27.

Xie

Hubbard

Himes

. Neighborhood-level measures of socioeconomic status are more correlated with individual-level measures in urban areas compared with less urban areas. Ann Epidemiol 2020; 43: 37–43.

28.

Hybels

Blazer

Eagle

, et al. Age differences in trajectories of depressive, anxiety, and burnout symptoms in a population with a high likelihood of persistent occupational distress. Int Psychogeriatr 2022; 34(1): 21–32.

29.

Confavreux

Vukusic

. Age at disability milestones in multiple sclerosis. Brain 2006; 129: 595–605.

30.

Vasilenko

Evans-Polce

Lanza

. Age trends in rates of substance use disorders across ages 18-90: Differences by gender and race/ethnicity. Drug Alcohol Depend 2017; 180: 260–264.

31.

Coerver

Janssens

Ahmed

, et al. Association between age and inflammatory disease activity on magnetic resonance imaging in relapse onset multiple sclerosis during long-term follow-up. Eur J Neurol 2023; 30(8): 2385–2392.

32.

Cerqueira

Compston

DAS

Geraldes

, et al. Time matters in multiple sclerosis: Can early treatment and long-term follow-up ensure everyone benefits from the latest advances in multiple sclerosis. J Neurol Neurosurg Psychiat 2018; 89(8): 844–850.

33.

Marrie

Reingold

Cohen

, et al. The incidence and prevalence of psychiatric disorders in multiple sclerosis: A systematic review. Mult Scler 2015; 21(3): 305–317.

34.

Raissi

Bulloch

Fiest

, et al. Exploration of undertreatment and patterns of treatment of depression in multiple sclerosis. Int J MS Care 2015; 17(6): 292–300.

35.

Fiest

Walker

Bernstein

, et al. Systematic review and meta-analysis of interventions for depression and anxiety in persons with multiple sclerosis. Mult Scler Relat Disord 2016; 5: 12–26.

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