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Neuropsychiatric Status of Patients With Multiple Sclerosis Across Disease Duration Intervals

Abstract

Objectives:

The neuropsychiatric sequelae of multiple sclerosis (MS) are important predictors of morbidity and mortality. The authors examined how symptoms of depression, anxiety, fatigue, subjective cognitive impairment, and objective cognitive dysfunction varied with disease duration. They also explored changes in the use of disease-modifying therapies, psychotropic medications, and psychotherapies in relation to disease duration.

Methods:

A retrospective sample of 464 people with MS was stratified into three groups based on disease duration: <5 years (N=129), 5–10 years (N=101), and >10 years (N=234). Symptoms of depression and anxiety were recorded with the Hospital Anxiety and Depression Scale (HADS); fatigue, with the five-item version of the Modified Fatigue Impact Scale (MFIS-5); subjective cognitive impairment, with the five-item version of the Perceived Deficits Questionnaire (PDQ-5); and cognition, with the Minimal Assessment of Cognitive Function in MS (MACFIMS).

Results:

There were between-group differences in anxiety symptoms (p<0.01) and degree of cognitive impairment (p=0.03), but there were no differences in depressive symptoms, fatigue, or subjective cognitive difficulties. Anxiety was higher during the first 5 years after diagnosis, and cognitive dysfunction was higher when assessed more than 10 years after diagnosis. With longer disease duration, a greater proportion of participants received psychotropic medications (p<0.01), and lower proportions received disease-modifying therapies (p<0.01) or psychotherapies (p<0.01).

Conclusions:

Findings indicated that rates of some neuropsychiatric symptoms, such as anxiety and cognitive dysfunction, may shift with disease duration, whereas other symptoms, such as fatigue and depression, may not. These findings highlight the importance of closely monitoring the mental state of people with MS over time.

Multiple sclerosis (MS) is an immune-mediated demyelinating condition that affects approximately 2.8 million people globally (1). The neurological symptoms of MS are varied, multifocal, and disabling, which contributes to greater unemployment, reduced life expectancy, and considerable health care costs (2, 3). In addition, depression, anxiety, fatigue, and cognitive impairment are common (46). Although at times underrecognized, these neuropsychiatric sequelae of MS are significant predictors of employment, quality of life, and mortality (79). Recent research has found that depression and fatigue have a greater impact on quality of life than physical impairment or demographic characteristics (7), and perceived and objective cognitive deficits are important for predicting vocational status (8).

Understanding how neuropsychiatric symptoms vary with disease duration is important to people with MS and their care providers. The existing data present a mixed picture. Cognitive function deteriorates over time (10, 11); however, only one longitudinal study examined changes in self-appraisal of cognitive abilities (12). Results from previous studies evaluating depression are mixed, with some but not all studies (13, 14) reporting an association with disease duration (15, 16). Anxiety has been less well studied, but the same equivocal association with disease duration is present (14, 15, 17). Although there are some exceptions (18, 19), the literature generally does not support a worsening in fatigue with increasing disease duration (16, 20).

A shared limitation of all of these studies is that longitudinal symptom assessment included a maximum of one or two symptoms (18, 19). Due to demographic and disease-related differences across individual studies, identifying a consistent pattern of changes in neuropsychiatric symptoms over time can be challenging. In the one study that examined fatigue, depressive symptoms, and anxiety symptoms over time, the authors found a gradual decline in anxiety symptoms with no associated changes in fatigue or depressive symptoms (17). However, the duration of follow-up in this study was limited to 3 years. Another limitation of the aforementioned studies is the absence of associated treatment data. For many people with MS, disease-modifying therapies, psychotropic medications, and psychotherapy are common approaches to managing the neuropsychiatric sequelae (21). Without these data, symptom monitoring among this population presents an incomplete picture of their neuropsychiatric status.

As a whole, the literature on MS lacks studies that examine the associations between a more complete array of neuropsychiatric variables (e.g., objective and subjective cognitive dysfunction, depression, anxiety, and fatigue) and longer disease durations. Such an approach offers the potential for increasing understanding of the evolution of a complex neuropsychiatric picture that is integral to optimally caring for people with MS.

Methods

Study Participants

This study was approved by the Research Ethics Board of Sunnybrook Health Sciences Centre in Toronto, Ontario, Canada. Retrospective data were obtained from case records of 464 people with MS who attended a tertiary neuropsychiatry clinic between January 2018 and February 2020 and completed symptom measurement scales at their appointments as part of routine clinical care. Each participant is counted only once in this sample. If someone had multiple neuropsychiatry visits, data from only the first visit were included in this analysis. All participants met the 2017 McDonald criteria for the diagnosis of MS (22, 23).

Data Collection

The following demographic, disease-related, neuropsychiatric, and treatment data were collected. Demographic data included age and sex. Disease-related data included duration since diagnosis, disease course (i.e., relapsing-remitting, secondary progressive, primary progressive, unspecified), and the Expanded Disability Status Scale (EDSS) score (24). The EDSS is the most commonly used scale to monitor global neurological disability among people with MS.

Symptoms of depression and anxiety were assessed with the Hospital Anxiety and Depression Scale (HADS) (25). The HADS is a self-report rating questionnaire that was developed to reduce the emphasis on somatic symptoms in people with comorbid medical conditions (25). The HADS has been validated for MS, and for each of the anxiety and depression subscales, scores >7 were previously determined to be optimal for distinguishing clinically relevant symptoms (26). Fatigue ratings were obtained with the five-item version of the Modified Fatigue Impact Scale (MFIS-5) (27). The MFIS-5 is a self-administered and widely used measure of fatigue among those with MS that consists of the five items that are most predictive of the total score from among the 21 items of the MFIS. An assessment of subjective cognitive function was obtained with the shorter, five-item version of the Perceived Deficits Questionnaire (PDQ-5) (28), which has been validated for use among those with MS (29).

Cognition was assessed in a subset of 224 participants with the Minimal Assessment of Cognitive Function in MS (MACFIMS), which was formulated and validated specifically for use in the MS population (30). This battery includes the Controlled Oral Word Association Test, Judgment of Line Orientation test, California Verbal Learning Test, Brief Visuospatial Memory Test, Symbol Digit Modalities Test, 2- and 3-second versions of the Paced Auditory Serial Addition Test, and the Delis-Kaplan Executive Function System. Failure on a particular MACFIMS test was defined as a score of 1.5 standard deviations below age-, sex-, and education-matched normative data; we determined the number of test failures.

Treatment data included the administration of disease-modifying therapies, the types of psychotropic medications (including antidepressant, stimulant, hypnotic, antipsychotic, mood stabilizer, or pain-modulating medication) that were administered, and whether participants received psychotherapy.

Neuropsychiatric Symptoms and Disease Duration

To assess associations between disease duration and neuropsychiatric symptoms, participants were stratified into three groups based on years since diagnosis of MS: <5 years (N=129), 5–10 years (N=101), and >10 years (N=234). These disease durations were chosen based on a foundational study examining changes in cognition over time (31).

Statistical Analysis

Comparisons among the three groups stratified by disease duration were undertaken with a one-way analysis of variance or Kruskal-Wallis H test, depending on the normality of the data distribution. Post hoc between-group comparisons were undertaken with Scheffé and Mann-Whitney U tests, depending on data distribution. Chi-square analyses were used for ordinal data. We determined statistical significance at the 0.05 level. We used SPSS Statistics to conduct all analyses (32).

Results

The data for the entire sample are presented in Table 1. The mean±SD age was 46.39±11.62 years, and the median EDSS score was 2.5. Sixty-nine percent of the participants were female, and 65% of the sample had relapsing-remitting MS.

TABLE 1. Demographic, disease-related, and treatment-related characteristics of participants with multiple sclerosis (MS)

CharacteristicTotal sample (N=464)
MSD
Disease duration (years)11.748.95
Age (years)46.3911.62
N%
Female32069
Expanded Disability Status Scale (median and IQR)a2.51.5–3.5
Disease course
 Relapsing-remitting MS30065
 Secondary progressive MS7115
 Primary progressive MS419
 Unspecified5211
Any disease-modifying therapy27158
Any psychotropic treatment30666
 Antidepressant24052
 Stimulant9821
 Hypnotic or sedative9120
 Antipsychotic337
 Mood stabilizer184
 Pain-modulating medication6714
Any psychotherapy6013

aThis is an ordinal measure, and thus these data are reported with nonparametric statistical measures (median and interquartile range [IQR]).

TABLE 1. Demographic, disease-related, and treatment-related characteristics of participants with multiple sclerosis (MS)

Enlarge table

Between-group comparisons in demographic, disease-related, and treatment characteristics are presented in Table 2. These comparisons show significant differences with respect to disease course, age, and EDSS scores. As disease duration increased, a greater proportion of participants had a secondary progressive course, fewer participants received disease-modifying therapies, and the proportion receiving psychotropic medications increased. Those receiving psychotherapy declined after 5 years of having the disease.

TABLE 2. Demographic, disease-related, and treatment-related characteristics of people with multiple sclerosis, stratified by disease duration

Disease duration
Characteristic<5 years (N=129)5–10 years (N=101)>10 years (N=234)
MSDMSDMSDp
Disease duration (years)2.161.367.381.7418.916.78<0.01
Age (years)39.5111.3145.6411.2450.5010.01<0.01
N%N%N%
Female95746968156670.38
Expanded Disability Status Scale (median and IQR)a2.01.0–2.52.01.5–3.03.02.0–5.5<0.01
Disease course (relapsing vs. progressive)<0.01
 Relapsing-remitting MS9271696813959
 Secondary progressive MS22886126
 Primary progressive MS14111313146
 Unspecified21161111209
Any disease-modifying therapy9674636211248<0.01
Any psychotropic treatment6853636217575<0.01
 Antidepressant5442484813859
 Stimulant201624245423
 Hypnotic or sedative191512126026
 Antipsychotic7566209
 Mood stabilizer1133146
 Pain-modulating medication12913134218
Any psychotherapy272110102310<0.01

aThis is an ordinal measure, and thus these data are reported with nonparametric statistical measures (median and interquartile range [IQR]).

TABLE 2. Demographic, disease-related, and treatment-related characteristics of people with multiple sclerosis, stratified by disease duration

Enlarge table

Between-group comparisons in neuropsychiatric symptoms are presented in Table 3. Anxiety symptoms and rates of cognitive impairment significantly differed across groups. In particular, anxiety symptoms were more severe in the group with a disease duration of <5 years compared to the groups with a disease duration of 5–10 years (p=0.02, 95% CI=0.19, 3.09) and >10 years (p<0.01, 95% CI=0.73, 3.13). Global cognitive impairment was more frequent in the group with a disease duration of >10 years compared to the groups with a duration of <5 (U=2,890.50, p=0.04) and 5–10 (U=2,098.00, p=0.03) years. For differences in individual cognitive tests, see Table S1 in the online supplement. There were no significant differences among the three disease duration groups in depression symptoms, fatigue, or subjective cognitive impairment.

TABLE 3. Neuropsychiatric symptoms of people with multiple sclerosis, stratified by disease duration

MeasureDisease duration
<5 years (N=128)a5–10 years (N=101)>10 years (N=234)
MSDMSDMSDp
Subjective symptoms
 Hospital Anxiety and Depression Scale–Anxiety10.644.599.004.698.714.26<0.01
 Hospital Anxiety and Depression Scale–Depression7.994.727.304.277.064.200.15
 Modified Fatigue Impact Scale (five-item version)11.324.9510.644.8111.404.600.39
 Perceived Deficits Questionnaire (five-item version)10.474.679.284.6410.004.100.12
<5 years (N=70)5–10 years (N=53)>10 years (N=101)
Number of cognitive tests demonstrating impairmentb
 Median and IQR2.00.0–4.01.00.0–4.03.01.0–6.00.03
 Mean and SD2.42.42.32.43.43.0

aData were missing for one participant.

bThis is an ordinal measure, and thus the data are also reported with nonparametric statistical measures (median and interquartile range [IQR]).

TABLE 3. Neuropsychiatric symptoms of people with multiple sclerosis, stratified by disease duration

Enlarge table

Discussion

Here, we describe a spectrum of neuropsychiatric symptoms stratified according to disease duration in people with MS. A longer disease duration was associated with a statistically significant increase in physical disability and a more progressive course of illness. People with MS were administered fewer disease-modifying therapies but more psychotropic drugs and received less psychotherapy. Levels of anxiety declined, most notably from 5 years after diagnosis, whereas symptoms of depression and fatigue remained constant. Frequency of cognitive dysfunction increased, particularly after 10 years, which was not matched by subjective perceptions of cognitive deficits. We will discuss each of these findings in turn, while recognizing that our methodology did not address causality.

The MS literature has identified several factors that could explain higher severity of anxiety within the first 5 years of diagnosis. These factors include receiving the diagnosis of a potentially life-altering condition (33), having little social support (34), and having ineffective coping mechanisms (35) while failing to receive disease-modifying therapies (36). Although some studies have described anxiety occurring soon after disease onset (17, 33), there is a paucity of data that describe how symptoms change over time. Our findings suggest that anxiety lessens with time; although it should be noted that more than 10 years from diagnosis, the mean HADS anxiety score remained above the threshold score of 8.0 that is indicative of clinically significant symptoms (26).

The fact that our data did not reveal an association between disease duration and depression likely reflects the interplay of numerous potentially causative factors associated with depression. These factors include pro-inflammatory cytokines such as tumor necrosis factor alpha and interferon gamma (35), regional lesion burden and atrophy that would appear as brain MRI abnormalities (37), varying coping styles (38), and other psychosocial factors such as reduced social participation or disease-related threats to self-esteem and autonomy (39). These same factors may also explain the equivocal MS literature pertaining to disease duration and frequency of depression, with both reports for (13, 14) and against (15, 16) such an association. Our finding that antidepressant use increased with time is notable and suggests that depression may have increased with disease duration but was successfully treated—hence the overall steady prevalence rate. While this hypothesis is intriguing, our study design does not allow us to definitively draw such a conclusion.

Our finding that self-awareness of cognitive abilities did not match objective evidence of cognitive decline over time fits with the MS literature reporting deficits in metacognition (40). The notable aspect of our finding is that low insight into cognition was likely present across the lifespan of the disease. The only other identified study examining subjective cognitive impairment found no significant difference in self-reported cognition between 12 and 36 months following diagnosis (12). Our results extend this finding to a much longer disease duration.

An interesting observation consistent with these findings is the decrease in psychotherapy with a longer disease duration. One possible explanation is that psychotherapy is more often provided in response to a new diagnosis of MS and that with the passage of time, anxiety declines to a degree, and the perceived need for this intervention lessens. It is striking, however, that as the frequency of psychotherapy decreases, the use of antidepressant medication increases. This occurs in parallel to the decrease in the use of disease-modifying therapies. This particular trend is understandable—as more people develop a progressive course of illness, fewer disease-modifying therapies are available (41). Given limited existing knowledge of trends in psychotherapy provision for people with MS, additional research is needed to determine if these findings are linked.

Our finding that fatigue does not increase over time is both supported (16, 20) and not supported (18, 19) by studies in the MS literature. Consistent with our finding was the observation that the use of stimulant medications increased with increases in disease duration. As noted above, we found a similar relationship with depression and the use of antidepressant medications. However, although medications have been shown to help depression, albeit modestly (42), a recent randomized, placebo-controlled, crossover, double-blind trial demonstrated a lack of efficacy for stimulant medications such as amantadine, modafinil, and methylphenidate (43). Whether the same holds true for individuals included in our data set is not known, and our methodology precludes the identification of a causal association.

As previously mentioned, a limitation in our study is the delineation of disease duration with a stratification approach. The absence of longitudinal data impedes our ability to go beyond reporting associations by extracting causal relationships. Furthermore, our data were obtained from an MS neuropsychiatry clinic, not a general neurology MS clinic, and, as such, involve particular biases. Although the level of disability identified in this sample resembles MS population-level estimates (44, 45) and other neuropsychiatric samples (14, 17, 18), it may not adequately describe the neuropsychiatric sequelae of people with severe disability. Additionally, in this study, disease duration was estimated from diagnosis due to challenges with retrospectively identifying symptom onset. Consequently, with an average delay of 30 months from symptom onset to diagnosis of MS (46), this study may have failed to capture a period of potentially heightened anxiety and changes in other neuropsychiatric symptoms. As noted in Table S2 in the online supplement, the sample of participants with available cognitive data was generally younger and had more individuals with relapsing-remitting illness and fewer individuals treated with disease-modifying therapies. This may reflect a limitation of the cognitive findings. Finally, it is expected that the rates of comorbid conditions in this study resemble those of a typical sample with MS who attend a tertiary neuropsychiatry clinic; however, these details were not available for this sample. It is possible that the older people in the group with a disease duration of greater than 10 years have more comorbid medical conditions, as previously reported (47). This association may account for some cognitive changes in this sample; however, rather than a caveat of these findings, this possibility reflects the clinical reality for many people with MS.

Conclusions

Notwithstanding the above limitations, our data contain several notable observations from a single, large group of people with MS encompassing all disease types and a broad range of disease durations. A comprehensive picture of the evolving neuropsychiatric status of people with MS includes decreases in anxiety and cognition; constant rates of depression, fatigue, and subjective cognitive impairment; increasing use of psychotropic medications; fewer disease-modifying therapies; and less psychotherapy. Longitudinal confirmation of these findings from a large representative group with MS is now required and will be helpful to inform treatment plans for the many behavioral symptoms that affect this population.

Department of Psychiatry, Sunnybrook Health Sciences Centre, and Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Freedman, Feinstein); Division of Neurology, Department of Medicine, St. Michael’s Hospital, and Division of Neurology, Temerty Faculty of Medicine, University of Toronto, Toronto (Oh).
Send correspondence to Dr. Freedman ().

The authors report no financial relationships with commercial interests.

References

1. Walton C, King R, Rechtman L, et al.: Rising prevalence of multiple sclerosis worldwide: insights from the Atlas of MS, third edition. Mult Scler 2020; 26:1816–1821Crossref, MedlineGoogle Scholar

2. Campbell JD, Ghushchyan V, McQueen RB, et al.: Burden of multiple sclerosis on direct, indirect costs and quality of life: national US estimates. Mult Scler Relat Disord 2014; 3:227–236Crossref, MedlineGoogle Scholar

3. Lunde HMB, Assmus J, Myhr K-M, et al.: Survival and cause of death in multiple sclerosis: a 60-year longitudinal population study. J Neurol Neurosurg Psychiatry 2017; 88:621–625Crossref, MedlineGoogle Scholar

4. Silveira C, Guedes R, Maia D, et al.: Neuropsychiatric symptoms of multiple sclerosis: state of the art. Psychiatry Investig 2019; 16:877–888Crossref, MedlineGoogle Scholar

5. Kobelt G, Langdon D, Jönsson L: The effect of self-assessed fatigue and subjective cognitive impairment on work capacity: the case of multiple sclerosis. Mult Scler 2019; 25:740–749Crossref, MedlineGoogle Scholar

6. Benedict RHB, Amato MP, DeLuca J, et al.: Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues. Lancet Neurol 2020; 19:860–871Crossref, MedlineGoogle Scholar

7. Biernacki T, Sandi D, Kincses ZT, et al.: Contributing factors to health-related quality of life in multiple sclerosis. Brain Behav 2019; 9:e01466Crossref, MedlineGoogle Scholar

8. Honan CA, Brown RF, Batchelor J: Perceived cognitive difficulties and cognitive test performance as predictors of employment outcomes in people with multiple sclerosis. J Int Neuropsychol Soc 2015; 21:156–168Crossref, MedlineGoogle Scholar

9. Palladino R, Chataway J, Majeed A, et al.: Interface of multiple sclerosis, depression, vascular disease, and mortality: a population-based matched cohort study. Neurology 2021; 97:e1322–e1333Crossref, MedlineGoogle Scholar

10. Achiron A, Chapman J, Magalashvili D, et al.: Modeling of cognitive impairment by disease duration in multiple sclerosis: a cross-sectional study. PLoS ONE 2013; 8:e71058Crossref, MedlineGoogle Scholar

11. Brochet B, Ruet A: Cognitive impairment in multiple sclerosis with regards to disease duration and clinical phenotypes. Front Neurol 2019; 10:261Crossref, MedlineGoogle Scholar

12. McNicholas N, Tubridy N, Hutchinson M, et al.: Perceived and objective cognitive impairment in newly diagnosed versus established multiple sclerosis: impact of disease duration. Ir J Med Sci 2021; 190:1149–1154Crossref, MedlineGoogle Scholar

13. Maier S, Buruian M, Maier A, et al.: The determinants of depression in a Romanian cohort of multiple sclerosis patients. Acta Neurol Belg 2016; 116:135–143Crossref, MedlineGoogle Scholar

14. Shin JS, Kwon YN, Choi Y, et al.: Comparison of psychiatric disturbances in patients with multiple sclerosis and neuromyelitis optica. Medicine 2019; 98:e17184Crossref, MedlineGoogle Scholar

15. Jones KH, Ford DV, Jones PA, et al.: A large-scale study of anxiety and depression in people with multiple sclerosis: a survey via the web portal of the UK MS Register. PLoS ONE 2012; 7:e41910Crossref, MedlineGoogle Scholar

16. Ford H, Trigwell P, Johnson M: The nature of fatigue in multiple sclerosis. J Psychosom Res 1998; 45:33–38Crossref, MedlineGoogle Scholar

17. Wood B, van der Mei IAF, Ponsonby A-L, et al.: Prevalence and concurrence of anxiety, depression and fatigue over time in multiple sclerosis. Mult Scler 2013; 19:217–224Crossref, MedlineGoogle Scholar

18. Yigit P, Acikgoz A, Mehdiyev Z, et al.: The relationship between cognition, depression, fatigue, and disability in patients with multiple sclerosis. Ir J Med Sci 2021; 190:1129–1136Crossref, MedlineGoogle Scholar

19. Ghajarzadeh M, Jalilian R, Eskandari G, et al.: Fatigue in multiple sclerosis: relationship with disease duration, physical disability, disease pattern, age and sex. Acta Neurol Belg 2013; 113:411–414Crossref, MedlineGoogle Scholar

20. Mills RJ, Young CA: The relationship between fatigue and other clinical features of multiple sclerosis. Mult Scler 2011; 17:604–612Crossref, MedlineGoogle Scholar

21. Ron MA: The neuropsychiatry of multiple sclerosis. BJPsych Adv 2018; 24:178–187 CrossrefGoogle Scholar

22. Polman CH, Reingold SC, Banwell B, et al.: Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011; 69:292–302Crossref, MedlineGoogle Scholar

23. Thompson AJ, Banwell BL, Barkhof F, et al.: Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 2018; 17:162–173Crossref, MedlineGoogle Scholar

24. Kurtzke JF: Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983; 33:1444–1452Crossref, MedlineGoogle Scholar

25. Zigmond AS, Snaith RP: The Hospital Anxiety and Depression Scale. Acta Psychiatr Scand 1983; 67:361–370Crossref, MedlineGoogle Scholar

26. Honarmand K, Feinstein A: Validation of the Hospital Anxiety and Depression Scale for use with multiple sclerosis patients. Mult Scler 2009; 15:1518–1524Crossref, MedlineGoogle Scholar

27. Meca-Lallana V, Brañas-Pampillón M, Higueras Y, et al.: Assessing fatigue in multiple sclerosis: psychometric properties of the five-item Modified Fatigue Impact Scale (MFIS-5). Mult Scler J Exp Transl Clin 2019; 5:2055217319887987Google Scholar

28. Ritvo PG, Fischer JS, Miller DM: Multiple Sclerosis Quality of Life Inventory: A User’s Manual. New York, National Multiple Sclerosis Society, 1997 Google Scholar

29. Sullivan MJ, Edgley K, Dehoux E: A survey of multiple sclerosis: I. Perceived cognitive problems and compensatory strategy use. Can J Rehabil 1990; 4:99–105 Google Scholar

30. Benedict RHB, Cookfair D, Gavett R, et al.: Validity of the Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS). J Int Neuropsychol Soc 2006; 12:549–558Crossref, MedlineGoogle Scholar

31. Amato MP, Ponziani G, Siracusa G, et al.: Cognitive dysfunction in early-onset multiple sclerosis: a reappraisal after 10 years. Arch Neurol 2001; 58:1602–1606Crossref, MedlineGoogle Scholar

32. IBM SPSS Statistics for Windows, version 25.0. Armonk, NY, IBM Corp, 2017 Google Scholar

33. Giordano A, Granella F, Lugaresi A, et al.: Anxiety and depression in multiple sclerosis patients around diagnosis. J Neurol Sci 2011; 307:86–91Crossref, MedlineGoogle Scholar

34. Butler E, Matcham F, Chalder T: A systematic review of anxiety amongst people with multiple sclerosis. Mult Scler Relat Disord 2016; 10:145–168Crossref, MedlineGoogle Scholar

35. Gold SM, Irwin MR: Depression and immunity: inflammation and depressive symptoms in multiple sclerosis. Immunol Allergy Clin North Am 2009; 29:309–320Crossref, MedlineGoogle Scholar

36. Gasim M, Bernstein CN, Graff LA, et al.: Adverse psychiatric effects of disease-modifying therapies in multiple sclerosis: a systematic review. Mult Scler Relat Disord 2018; 26:124–156Crossref, MedlineGoogle Scholar

37. Feinstein A, Roy P, Lobaugh N, et al.: Structural brain abnormalities in multiple sclerosis patients with major depression. Neurology 2004; 62:586–590Crossref, MedlineGoogle Scholar

38. Lynch SG, Kroencke DC, Denney DR: The relationship between disability and depression in multiple sclerosis: the role of uncertainty, coping and hope. Mult Scler 2001; 7:411–416Crossref, MedlineGoogle Scholar

39. Solaro C, Gamberini G, Masuccio FG: Depression in multiple sclerosis: epidemiology, aetiology, diagnosis and treatment. CNS Drugs 2018; 32:117–133Crossref, MedlineGoogle Scholar

40. Mazancieux A, Souchay C, Casez O, et al.: Metacognition and self-awareness in multiple sclerosis. Cortex 2019; 111:238–255Crossref, MedlineGoogle Scholar

41. Ciotti JR, Cross AH: Disease-modifying treatment in progressive multiple sclerosis. Curr Treat Options Neurol 2018; 20:12Crossref, MedlineGoogle Scholar

42. Patten SB, Marrie RA, Carta MG: Depression in multiple sclerosis. Int Rev Psychiatry 2017; 29:463–472Crossref, MedlineGoogle Scholar

43. Nourbakhsh B, Revirajan N, Morris B, et al.: Safety and efficacy of amantadine, modafinil, and methylphenidate for fatigue in multiple sclerosis: a randomised, placebo-controlled, crossover, double-blind trial. Lancet Neurol 2021; 20:38–48Crossref, MedlineGoogle Scholar

44. Karampampa K, Gustavsson A, Miltenburger C, et al.: Treatment Experience, Burden and Unmet Needs (TRIBUNE) in MS study: results from five European countries. Mult Scler 2012; 18:7–15Crossref, MedlineGoogle Scholar

45. Cree BAC, Gourraud P-A, Oksenberg JR, et al.: Long-term evolution of multiple sclerosis disability in the treatment era. Ann Neurol 2016; 80:499–510Crossref, MedlineGoogle Scholar

46. Patti F, Chisari CG, Arena S, et al.: Factors driving delayed time to multiple sclerosis diagnosis: results from a population-based study. Mult Scler Relat Disord 2022; 57:103361Crossref, MedlineGoogle Scholar

47. Stanikić M, Salmen A, Chan A, et al.: Association of age and disease duration with comorbidities and disability: a study of the Swiss Multiple Sclerosis Registry. Mult Scler Relat Disord 2022; 67:104084Crossref, MedlineGoogle Scholar