The Prevalence of Bipolar Disorders and Association With Quality of Life in a Cohort of Patients With Multiple Sclerosis
Abstract
Clinical observations of mood instability in multiple sclerosis (MS) have led to the hypothesis that bipolar disorder (BD) may be more prevalent in persons with MS than in the general population. This cross-sectional study assesses the prevalence of BD among patients with MS using standardized psychiatric diagnostic interviews and evaluates quality of life. This study demonstrates a higher prevalence of BD in patients with MS compared with the general population. It also reveals the negative impact of BD on quality of life, raises the concern that BD can occur before the onset of neurological symptoms in MS, and suggests that, in some cases, BD may delay diagnosis of MS.
Multiple sclerosis (MS) is a chronic autoimmune inflammatory demyelinating disorder of the central nervous system and the second most common cause of severe disability and decreased quality of life in young adults.1 Neuropsychiatric symptoms are well recognized, as MS can present with primarily psychiatric or neuropsychiatric features.2,3 Patients with MS are more likely to suffer from depression4 and other mood disorders5,6 compared with the general population.7 It is also known that there is an increased risk of psychiatric disorders even before a definite diagnosis of MS is made, with a high odds ratio of 1.4.8 Mood disorders are also associated with lower treatment compliance, poor outcomes and functional status, and overall decreased quality of life among MS patients.9 Although symptoms of major depressive disorder (MDD) can occur before the onset of neurological symptoms of MS,10,11 few studies have focused on the relationship between bipolar disorder (BD) and MS.
Approximately 3.4% of the general population suffers from BD,7 the disability-adjusted years for which are greater than that for all forms of cancer or other major neurological diseases, including epilepsy and Alzheimer’s disease. This is likely due to the earlier onset and chronic disease course.7 When misdiagnosed as unipolar depression, BD may contribute to worse quality of life and affect treatment adherence in persons with MS.12 The initial presentation of BD may include a depressive phase or a manic phase with or without psychotic symptoms. All of these presentations have been temporally associated with MS13–17 and pharmacological treatments of MS,18,19 making expeditious and confident diagnosis difficult. It remains unclear whether and/or to what degree BD may, in some cases, be a prodromal feature of MS.
The objectives of this study were to assess the prevalence of BD among patients with MS using standardized psychiatric diagnostic interviews and evaluate quality of life among MS patients with BD. We also investigated whether BD occurred prior to the onset of MS neurological symptoms, as well as the influence of BD on MS diagnosis.
Methods
Standard Protocol Approvals, Registration, and Patient Consents
This was a cross-sectional study. Participants were identified from an MS clinic at a single tertiary referral center. Written informed consent was obtained from all patients participating in the study. The study was approved by the University of Massachusetts Medical School Institutional Review Board. Inclusion criteria included a diagnosis of MS based on the 2010 revised McDonald criteria20 and between 18 and 90 years of age. To avoid confounding by concurrent other neurological and/or psychiatric conditions, the study samples were restricted to BD in MS. The specific exclusion criteria were any concurrent, major neurological diagnosis (e.g., stroke, myasthenia gravis), current or history of a primary psychotic disorder (e.g., schizophrenia), active substance abuse within the past 3 months, and recent or remote uncontrolled endocrine disorder. The diagnosis of BD was established via the Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Non-Patient Edition (SCID-I/NP).21
Data Collection
A total of 152 consecutive samples of patients with a diagnosis of MS were enrolled in the study between January 2014 and May 2015. MS patients were screened for BD using the standardized Mood Disorder Questionnaire (MDQ).22
The MDQ is a self-report questionnaire screening for a lifetime history of bipolar spectrum disorder symptoms, derived from the DSM-IV criteria. It is well known to have good internal consistency on detecting lifetime manic symptoms,23 and its validity in detecting recent episode (defined as less than 2 years) is reportedly excellent (sensitivity of 0.83, specificity of 0.82 with the standard cut-off point of equal or greater than 7).23 MDQ also has been well utilized in the MS population, and MDQ positivity for BD is known to be much higher in MS.6 Subjects must score at least 7 criteria questions, with symptoms occurring during the concurrent period, and with the disturbance causing at least “moderate” to “severe” impairment in functioning.24 The cut-off score used was greater than equal to 7. The patients scoring positive on the MDQ underwent the SCID-I/NP21 for definitive diagnosis of BD by psychiatry trained physicians. Medical records were reviewed in standardized fashion by physicians and trained abstractors.
All patients were evaluated with Multiple Sclerosis Quality of Life−54 (MSQOL-54) instrument that has physical and mental components. The MSQOL-54 is a multidimensional health-related quality of life measure that combines both generic and MS-specific items into a single instrument.25,26 This instrument generates 12 subscales that include physical function, role limitations-physical and emotional, pain, emotional wellbeing, energy, health perceptions, social function, cognitive function, health distress, overall quality of life, and sexual function. Along with 12 subscales, two summary scores are generated: the physical health composite and the mental health composite summary. There are two additional single-item measures as well: sexual function and change in health. Composite scores are determined as a weighted sum of selected subscales scores.25 Values for both physical and mental composite scores range from 0 to 100, with 100 reflecting a good quality of life. The subsequent data analysis included stratifying the total MSQOL-54 physical and mental composite scores by the presence of BD and reviewing the subgroup scores to identify the specific function that may significantly attribute to the total scores. A total of 121 subgroup analyses were completed, which included 10 patients with MS meeting the SCID criteria for definite diagnosis of BD and 111 patients with MS who did not have BD.
The relevant past psychiatric history was obtained from participants diagnosed with BD during the SCID. Medical records of all screened participants were reviewed to extract details regarding psychopharmacological treatment and family history of psychiatric disorders, as well as details of MS history and use of disease-modifying agents. Medical records were also reviewed to identify concurrently prescribed psychopharmacologic agents regardless of their putative indication, including the use of mood stabilizers, anxiolytics, antidepressants, stimulants, and antipsychotics. It is important to note that our study design did not focus on comorbid psychiatric conditions associated with MS (such as substance disorders, anxiety, depression, attention deficit hyperactivity disorder, or thought disorders), as the goal of the study was to exclusively focus on BD in MS.
To address whether mood symptoms of BD presented prior to MS-symptom onset, a post-SCID telephone survey, as well as a chart review by physician, was also conducted addressing the dates of onset of BD symptoms, formal diagnosis of BD, onset of MS neurological symptoms, and formal diagnosis of MS by physicians via the revised McDonald diagnostic criteria for MS.20
Statistical Analysis
Normal distribution of data was assessed using the Shapiro-Wilk test. The Mann-Whitney U test and Fisher’s exact test were used to compare continuous and categorical variables, respectively. A two-sided p value <0.05 was considered significant. All statistical analyses were performed using IBM SPSS Statistics, version 20.0.0 (IBM, Armonk, N.Y.).
Results
The baseline characteristics of the studied patient population as stratified by the presence of BD are shown in Table 1. The mean age of study participants was 49 years (median age: 51 years). The median age of participants screening positive versus negative for BD did not differ (43 years versus 52 years, p=0.09). The number of females among the MS patients without BD was 105/142 (73.9%), while 9/10 (90%) had BD (p=0.453). The majority of studied participants had a diagnosis of relapsing remitting MS.
Characteristic | Bipolar Negative (N=142) | Bipolar Positive (N=10) | p |
---|---|---|---|
Age (years); median (IQR) | 52.0 (15.0) | 43.0 (26.0) | 0.093 |
Sex; N (%) | 0.453 | ||
Female | 105 (73.9%) | 9 (90.0%) | |
Male | 37 (26.1%) | 1 (10.0%) | |
MSQOL physical composite; median (IQR) | 53.3 (35.3) | 32.1 (14.5) | 0.003 |
MSQOL mental composite; median (IQR) | 66.3 (37.6) | 29.9 (12.4) | <0.001 |
Race/ethnicity; N (%) | 0.505 | ||
Caucasian | 133 (93.7%) | 9 (90.0%) | |
Hispanic | 7 (4.9%) | 1 (10.0%) | |
African American | 2 (1.4%) | 0 (0.0%) | |
MS subtype; N (%) | 0.519 | ||
Relapsing-remitting | 114 (80.3%) | 10 (100.0%) | |
Primary progressive | 4 (2.8%) | 0 (0.0%) | |
Secondary progressive | 24 (16.9%) | 0 (0.0%) | |
SCID; N (%) | <0.001 | ||
Positive for bipolar disorder | 0 (0.0%) | 10 (100.0%) | |
Negative for bipolar disorder | 6 (4.2%) | 0 (0.0%) | |
Bipolar diagnosis subtype; N (%) | <0.001 | ||
No bipolar disorder | 142 (100.0%) | 0 (0.0%) | |
Bipolar disorder type 1 | 0 (0.0%) | 6 (60.0%) | |
Bipolar disorder type 2 | 0 (0.0%) | 3 (30.0%) | |
Bipolar disorder not otherwise specified | 0 (0.0%) | 1 (10.0%) | |
Family history of bipolar disorder; N (%) | <0.001 | ||
None | 102 (71.8%) | 1 (10.0%) | |
Positive | 29 (20.4%) | 7 (70.0%) | |
Undetermined | 11 (7.7%) | 2 (20.0%) | |
MS DMTs; N (%) | 0.097 | ||
No DMT | 30 (21.1%) | 4 (40.0%) | |
Single DMT | 108 (76.1%) | 5 (50.0%) | |
Dual DMT* | 4 (2.8%) | 1 (10.0%) | |
Psychiatric medications; N (%) | 0.001 | ||
None | 63 (44.4%) | 0 (0.0%) | |
Mood stabilizer or antipsychotic | 3 (2.1%) | 0 (0.0%) | |
Multiple therapies** | 10 (7.0%) | 5 (50.0%) | |
Other(s) (SSRIs/anxiolytics) | 66 (46.45%) | 5 (50.0%) | |
Disease duration (years); median (IQR) | 1.0 (3.0) | 1.0 (3.0) | 0.834 |
Among the 16 participants who screened positive on the MDQ (10%), 10 participants (6.5%) scored positive for BD via SCID (p<0.001).
Bipolar disorder type 1 was more prevalent than type 2 in the study group (60% versus 30%, p<0.001). Only 50% of the participants with BD were receiving any psychopharmacological treatment (p=0.001). Interestingly, for patients with BD, 50% (5/10) were receiving either a selective serotonin reuptake inhibitor or an anxiolytic, which is not standard of care for BD.
The medical record review revealed that 66/142 (46.45%) of MS patients without the diagnosis of BD were receiving antidepressants or anxiolytics for coexisting depression/anxiety disorders, and 7% of MS patients without BD were on multiple therapies for complex psychiatric comorbidities.
There were no statistically significant differences in the age, sex, race, MS subtype, and MS disease-modifying therapies among MS patients with and without BD. There was no statistically significant association with MS disease duration and diagnosis of BD. There was a significant association between family history of BD and the presence of BD in subjects (p<0.001).
The presence of BD was associated with significantly reduced MSQOL-54 physical and mental composites (p=0.003 and p<0.001, respectively). Tables 2 and 3 show the MSQOL-54 subgroup scores (PCS-54 and MCS-54) as stratified by the presence of BD. For PCS-54, poor health perception (p=0.011), energy fatigue (p=0.036), physical role limitations (p=0.007), social function (p<0.001), and physical health distress (p=0.003) subscales were noted to drive the differences in the PCS-54 between persons with and without BD. The differences in the MCS-54 scores between persons with and without bipolar disorders are all statistically significant, as each subscale showed p values <0.05.
Subscale Characteristic | Bipolar Negative (N=111) | Bipolar Positive (N=10) | p |
---|---|---|---|
Physical function | 8.5 (10.2%) | 7.7 (3.1%) | 0.409 |
Health perception | 8.5 (6.8%) | 4.3 (4.0%) | 0.011 |
Energy fatigue | 5.3 (3.6%) | 2.6 (5.0%) | 0.036 |
Role limitations physical | 3.0 (12.0%) | 0 (0.0%) | 0.007 |
Pain | 6.8 (6.2%) | 5.1 (5.3%) | 0.189 |
Sexual function | 5.3 (4.3%) | 3.0 (5.7%) | 0.144 |
Social function | 9.0 (4.0%) | 4.5 (3.5%) | <0.001 |
Physical health distress | 6.6 (5.0%) | 3.0 (2.9%) | 0.003 |
Subscale Characteristics | Bipolar Negative (N=111) | Bipolar Positive (N=10) | p |
---|---|---|---|
Mental health distress | 8.4 (7.0%) | 3.9 (4.2%) | 0.005 |
Overall quality of life | 11.4 (5.6%) | 7.4 (5.3%) | 0.012 |
Emotional well-being | 19.7 (9.3%) | 12.2 (9.0%) | 0.002 |
Emotional role limitations | 16 (16.0%) | 0 (3.6%) | <0.001 |
Cognitive function | 9.0 (6.0%) | 4.9 (7.3%) | 0.002 |
Temporal relationship of onset of BD symptoms and development of neurological symptoms of MS after post-SCID telephone survey are summarized in Table 4. Among the 10 BD patients that were interviewed via telephone, eight patients reported onset of mood symptoms prior to the onset of neurological symptoms of MS, and one patient reported concurrent mood and neurological symptoms. Three participants believed the presence of mood symptoms delayed their diagnosis of MS (Table 4). Interestingly, physician interpretation of chart documentation showed that eight participants with BD had complained to their treating physician that the presence of their mood disorder might have delayed their MS diagnosis. The remaining chart review on two participants did not document any delay in diagnosis of MS by the presence of mood disorder.
Subject Number (BD+, MS+) | Age at BD Symptom Onset (Years) | Age at BD Diagnosis (Years) | Age at MS Symptom Onset (Years) | Age at MS Diagnosis (Years) | Reported Delay in MS Diagnosis due to BD Symptoms Based on Phone Interview | Reported Delay in MS Diagnosis due to BD Symptoms Based on Interpretations of Physician Chart Review |
---|---|---|---|---|---|---|
1 | 16 or 17 | 19 or 20 | 18 | 18 | No | Yes |
2 | Teens | 39 | 20s | 51 | Yes | Yes |
3 | 18 | 34 | 18 | 29 | No | No |
4 | Teens | 20 | 48 | 51 | No | Yes |
5 | Late 20s or age 30 | 31 or 32 | 35 | 35 | No | Yes |
6 | 30s | 38 | 48 | 48 | No | Yes |
7 | Teens | Previously undiagnosed by psychiatrist (tested positive on SCID) | 24 | 28 | No | No |
8 | 19 or 20 | 27 | 29 | 35 | Yes | Yes |
9 | 23 | 23 | 23 | 23 | No | Yes |
10 | Teens | 27 | 28 | 32 | Yes | Yes |
Discussion
Our study shows a BD prevalence of 6.5% among MS patients, which is higher than what is reported in the general population (3.4%).27 This is consistent with another report of a higher prevalence of BD in MS in Swedish5 and Canadian28 cohorts. Specifically, the known prevalence of BD in MS includes 0%−16.2%,29 and a recent large population-based Canadian cohort study showed a higher BD prevalence of 4.7% compared with 2.3% in the general population.28 That study also showed that comorbid psychiatric conditions, such as BD, MDD, anxiety, and schizophrenia, are more common in MS.28 Similar to the prior work, our study also showed a significant association between family history of BD and BD diagnosis among MS patients.27
It has been previously shown that there is a strong association between depression and bipolar disorder type 2, as well as a poorer quality of life in MS.12 Our study is unique in that after screening BD via MDQ, the diagnosis of BD was confirmed via gold standard diagnostication utilizing SCID administered by physicians with psychiatric training. Furthermore, the study used a more extensive assessment of quality of life by the MSQOL-54 that combines both generic and MS-specific items into a single instrument. Not only does our study show the strong association between BD and poorer quality of life in MS, but also that both physical and mental quality of life are negatively affected.
The study further analyzed the effects of subscale MSQOL-54 components in BD, and it has shown that health perception, energy fatigue, physical role limitations, social function, and physical health distress are negatively affected by the presence of BD (p<0.05). Although the subscale scores in physical function, pain, and sexual function were lower in patients with BD, it was not statistically significant. It is speculated that they can be affected by other disease mechanisms and multiple neuroanatomical pathway involvements in MS.
This suggests that multidisciplinary coordination and effective treatment of BD may potentially improve the overall quality of life in MS patients. Only 50% (N=5) of our subjects who had a diagnosis of BD were receiving any psychopharmacological treatments (p<0.001). This is an important observation because lack of psychopharmacological treatments can worsen psychiatric symptoms and adversely affect outcome,30–33 including leading to suicidality,34,35 lost productivity,36 and even additional MS exacerbations.37 This is particularly relevant to quality of life evaluations in MS, as comorbid psychiatric conditions are seemingly more prevalent, underdiagnosed, and undertreated in persons of low socioeconomic status.9
The strong association between family history of BD and BD in MS are known.38,39 It remains uncertain whether psychiatric features of MS are part of the underlying neurobiology of the disease, comorbidities of chronic illness, or adverse reactions of treatment.30
Delays in MS diagnosis and greater disability at time of diagnosis are associated with psychiatric and medical comorbidity among MS patients.7 Low mood among MS patients has also been associated with structural and functional brain abnormalities, suggesting that depression in MS may arise directly from the demyelination process and be of a different etiology than depression in non-MS patients.40,41 For example, a diffusion tensor imaging study demonstrated reduced fractional anisotropy—a measure of white-matter pathology—in frontal and temporal lobes of depressed patients with MS compared with nondepressed patients with MS.42 In addition, a recent whole-brain structural connectivity analysis demonstrated altered patterns of white-matter connectivity, specifically the right hippocampus and right amygdala, which differentiated MS patients with depression from nondepressed patients.43
A potential etiological relationship between MS and BD also has been suggested,5 and neuroinflammation may contribute to the pathogenesis of mood disorders as indicated by positron emission tomography44 and postmortem identification of inflammatory biomarkers.45 It has also been suggested that there is a possible genetic association between MS and BD.38,46,47 It has been hypothesized that MS-related inflammation relates to the mood symptoms of BD. Alternatively, mood symptoms could be exacerbated by MS treatments (e.g., interferon beta and steroids). In our study, there was no significant difference between the MS treatment agents and presence of BD diagnosis.
A number of participants reported mood symptoms preceding neurological features of MS. This is a notable observation and warrants further investigation. “Diagnostic overshadowing” is a form of bias in which somatic symptoms or complaints may be misattributed to pre-existing neuropsychiatric pathology and presumably led to delays in accurate diagnosis. It has been previously reported in children with neurological conditions, such as intellectual disability48 and autism spectrum conditions,49 and in psychiatric patients presenting to emergency departments.50,51 To date, and to our knowledge, there have been no well-powered longitudinal epidemiological studies clarifying the role of diagnostic overshadowing or demonstrating symptoms of BD consistently predating MS.
In our cohort, three patients reported a delay in MS diagnosis due to their coexisting neuropsychiatric symptoms of BD during the structured telephone interview. A physician chart review documented that eight out of 10 patients with BD had reported previously delayed MS diagnosis, which was attributed to the presence of their comorbid psychiatric issues. The telephone interview may reflect a recall bias, and physician chart review may also involve bias of the physician interpreting the available chart data. It is possible that the discrepancy between the chart review and the telephone survey may be related to the inherent methodological differences in obtaining this information. Alternatively, this discrepancy may be contributed to cognitive impairment, which is relatively common among persons with comorbid MS with BD, as supported by the literature.52 However, this possibility remains untested and unproven in this study, since we did not directly assess study participants for cognitive impairments.
Interestingly, a substantial subset of patients was prescribed antidepressants and anxiolytics. Their prescription suggests the possible presence of additional psychiatric comorbidities in the studied cohort, consistent with prior reports of such in similar cohorts of persons with MS.4–7,12,28 However, our study was not designed to directly determine the presence of depression or anxiety disorders in our MS cohort, and the true prevalence of these conditions in this cohort therefore remains uncertain. Retrospectively evaluating the primary etiology in diagnostic delay is intrinsically difficult. To date, population based studies in Croatia,53 Canada,54 Denmark,55 Spain,56 and the United States23,57 have documented referral and diagnostic delays in persons with MS, attributable to availability of subspecialty services, age, and nature of initial presentation. Marrie et al.,57 in particular, have written at length about diagnostic delay in MS, citing a mean delay of 7.03 years, confirming association with age at onset and noting increased risk of delay with comorbid mental (and nonpsychiatric) confounders, which also seem to increase disability at presentation. This raises the concern that better and more thorough screening, detection, assessment, and treatment need to be done to improve patient care.
There are several limitations to this study, including the cross-sectional design, absence of a study-specific comparison cohort without MS, and relatively small size of the current study population. As the study population was drawn from a tertiary care center, it may not be representative of the general MS population, and ascertainment bias may have potentially overestimated the prevalence of BD compared with community-based samples. Moreover, given the design of the study, participant recall and misclassification bias may be present. As noted above, coexisting psychiatric diagnoses and cognitive status also were not studied, and the absence of data addressing these issues limits the scope of the findings to the comorbidity of MS and BD alone.
The SCID could not be completed for all 152 patients, and thus the sensitivity of the MDQ as a predictor of BD in this population of MS patients could not be assessed. However, despite the possible false negative rate of MDQ, our study shows higher than expected prevalence of BD in patients with MS and also particularly demonstrated the negative impact of BD on quality of life in MS. As the Expanded Disability Status Scale and MS functional composite scores were not analyzed in this study, we cannot comment on the degree of baseline functional disability in our cohort. Including these measures, as well as measures of cognitive impairment, in future studies may further improve our understanding of neuropsychiatric association between MS and BD.
It is possible that this study underestimates the prevalence of BD in persons with MS, given the utilization of the MDQ as a screening measure. The MDQ only has moderate sensitivity for the detection of BD, with the known overall sensitivity and specificity for detecting BD being 0.58 and 0.67, respectively for persons already diagnosed with BD.58 Furthermore, MDQ is known to have even lower sensitivity of 0.281 but high specificity of 0.972 in detecting BD in the general population.24 If these prior reports are consistent in this population, BD may have an even higher prevalence in MS than previously recognized.
Conclusions
Understanding the comorbidity of BD in MS should raise awareness for better screening of patients and improvement in treatments. However, ongoing challenges in addressing bipolar disorders include the difficulty in establishing diagnoses, prescribing appropriate treatments, getting patient cooperation, and addressing high suicidality risk.59 Understanding the high risk of BD in MS and the potential genetic and pathophysiological implications between MS and BD would raise awareness for better screening of patients and improvement in treatments.
This study showed a higher than expected prevalence of BD in patients with MS compared with the general population and has shown that BD adversely affected the quality of life in the studied cohort with MS. This raises the concern that BD may occur before the onset of neurological symptoms in MS and delay the diagnosis of MS in patients suffering from neurological and psychiatric symptoms. This suggests that there is a critical need to recognize and address psychiatric comorbidities such as BD early in the course of MS and initiate appropriate therapy to improve outcomes.
1 : Multiple sclerosis. Lancet 2002; 359:1221–1231Crossref, Medline, Google Scholar
2 : Pure neuropsychiatric presentation of multiple sclerosis. Am J Psychiatry 2004; 161:226–231Crossref, Medline, Google Scholar
3 : Neuropsychiatric presentation of multiple sclerosis. J Neuropsychiatry Clin Neurosci 1999; 11:5–7Link, Google Scholar
4 : Relationships between multiple sclerosis and depression. J Neuropsychiatry Clin Neurosci 2011; 23:198–200Link, Google Scholar
5 : Multiple sclerosis and psychiatric disorders: comorbidity and sibling risk in a nationwide Swedish cohort. Mult Scler 2014; 20:1881–1891Crossref, Medline, Google Scholar
6 : The risk of bipolar disorders in multiple sclerosis. J Affect Disord 2014; 155:255–260Crossref, Medline, Google Scholar
7 : The World Health Report 2002: reducing risks, promoting healthy life. Educ Health (Abingdon) 2003; 16:230Crossref, Medline, Google Scholar
8 : Psychiatric co-morbidity in multiple sclerosis: the risk of depression and anxiety before and after MS diagnosis. Mult Scler 2015; 22:347–353 Crossref, Medline, Google Scholar
9 : The burden of mental comorbidity in multiple sclerosis: frequent, underdiagnosed, and undertreated. Mult Scler 2009; 15:385–392Crossref, Medline, Google Scholar
10 : Multiple sclerosis: presenting as depressive illness. Dis Nerv Syst 1977; 38:127–131Medline, Google Scholar
11 : Multiple sclerosis presenting as major depression: a diagnosis suggested by MRI scan but not CT scan. J Clin Psychiatry 1988; 49:364–366Medline, Google Scholar
12 : Multiple sclerosis and bipolar disorders: the burden of comorbidity and its consequences on quality of life. J Affect Disord 2014; 167:192–197Crossref, Medline, Google Scholar
13 : Manic syndrome associated with multiple sclerosis: secondary mania? Acta Psychiatr Belg 1981; 81:337–349Medline, Google Scholar
14 : Multiple sclerosis presents with psychotic symptoms and coexists with hypertrophic cardiomyopathy. Case Rep Neurol Med 2014; 2014:383108. doi: 10.1155/2014/383108Medline, Google Scholar
15 : Anxiety and mood changes associated with acute cycling in persons with multiple sclerosis. Anxiety Stress Coping 2009; 22:297–307Crossref, Medline, Google Scholar
16 : Acute paranoid psychosis in multiple sclerosis. Psychosom 1984; 25(1):60–61, 5Crossref, Medline, Google Scholar
17 : Multiple sclerosis and affective disorder: 2 case reports of mania with psychosis. Psychother Psychosom 1985; 44:25–33Crossref, Medline, Google Scholar
18 : Persistent interferon-ß-1b-induced psychosis in a patient with multiple sclerosis. Psychiatry Clin Neurosci 2010; 64:584–586Crossref, Medline, Google Scholar
19 : Interferon-β-1a-induced psychosis in a patient with multiple sclerosis. Psychiatry Clin Neurosci 2012; 66:462Crossref, Medline, Google Scholar
20 : Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011; 69:292–302Crossref, Medline, Google Scholar
21 : Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition. (SCID-I/NP). New York, Biometrics Research, New York State Psychiatric Institute, 2002Google Scholar
22 : Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. Am J Psychiatry 2000; 157:1873–1875Crossref, Medline, Google Scholar
23 : Changes in the ascertainment of multiple sclerosis. Neurology 2005; 65:1066–1070Crossref, Medline, Google Scholar
24 : Validity of the mood disorder questionnaire: a general population study. Am J Psychiatry 2003; 160:178–180Crossref, Medline, Google Scholar
25 : A health-related quality of life measure for multiple sclerosis. Qual Life Res 1995; 4:187–206Crossref, Medline, Google Scholar
26 : Comparison of a generic to disease-targeted health-related quality-of-life measures for multiple sclerosis. J Clin Epidemiol 1997; 50:557–569Crossref, Medline, Google Scholar
27 : Prevalence, chronicity, burden and borders of bipolar disorder. J Affect Disord 2013; 148:161–169Crossref, Medline, Google Scholar
28 : Differences in the burden of psychiatric comorbidity in MS vs the general population. Neurology 2015; 85:1972–1979Crossref, Medline, Google Scholar
29 : The incidence and prevalence of psychiatric disorders in multiple sclerosis: a systematic review. Mult Scler 2015; 21:305–317Crossref, Medline, Google Scholar
30 : Psychiatric issues in multiple sclerosis. Psychiatr Clin North Am 2007; 30:803–817Crossref, Medline, Google Scholar
31 : Antidepressants in bipolar disorder: the case for caution. Bipolar Disord 2003; 5:421–433Crossref, Medline, Google Scholar
32 : The evidence for antidepressant use in bipolar depression. J Clin Psychiatry 2006; 67(Suppl 11):18–21Crossref, Medline, Google Scholar
33 : Role of antidepressants in bipolar depression. J Clin Psychiatry 2010; 71:e21Crossref, Medline, Google Scholar
34 : Suicide and multiple sclerosis: an epidemiological investigation. J Neurol Neurosurg Psychiatry 1992; 55:542–545Crossref, Medline, Google Scholar
35 : Risk factors for suicide in multiple sclerosis. Psychother Psychosom 1996; 65:86–90Crossref, Medline, Google Scholar
36 : Factors related to employment status changes in individuals with multiple sclerosis. Mult Scler 2005; 11:602–609Crossref, Medline, Google Scholar
37 : Association between stressful life events and exacerbation in multiple sclerosis: a meta-analysis. BMJ 2004; 328:731Crossref, Medline, Google Scholar
38 : Familial bipolar disorder and multiple sclerosis: a three-generation HLA family study. Prog Neuropsychopharmacol Biol Psychiatry 2003; 27:835–839Crossref, Medline, Google Scholar
39 : Familial comorbidity of bipolar disorder and multiple sclerosis: genetic susceptibility, coexistence or causal relationship? Behav Neurol 2012; 25:341–349Crossref, Medline, Google Scholar
40 : Brain MRI lesions and atrophy are related to depression in multiple sclerosis. Neuroreport 2000; 11:1153–1158Crossref, Medline, Google Scholar
41 : Structural brain abnormalities in multiple sclerosis patients with major depression. Neurology 2004; 62:586–590Crossref, Medline, Google Scholar
42 : Diffusion tensor imaging abnormalities in depressed multiple sclerosis patients. Mult Scler 2010; 16:189–196Crossref, Medline, Google Scholar
43 : Structural ‘connectomic’ alterations in the limbic system of multiple sclerosis patients with major depression. Mult Scler 2015; 21:1003–1012Crossref, Medline, Google Scholar
44 : Neuroinflammation in bipolar disorder: A [(11)C]-(R)-PK11195 positron emission tomography study. Brain Behav Immun 2014; 40:219–225Crossref, Medline, Google Scholar
45 : Increased excitotoxicity and neuroinflammatory markers in postmortem frontal cortex from bipolar disorder patients. Mol Psychiatry 2010; 15:384–392Crossref, Medline, Google Scholar
46 : Affective disorders and multiple sclerosis: a controlled study on 65 Italian patients. Ital J Neurol Sci 1998; 19:171–175Crossref, Medline, Google Scholar
47 : Multiple sclerosis and affective disorder. Family history, sex, and HLA-DR antigens. Arch Neurol 1988; 45:1345–1348Crossref, Medline, Google Scholar
48 : Diagnostic overshadowing reviewed and reconsidered. Am J Ment Retard 2001; 106:416–433Crossref, Medline, Google Scholar
49 : Diagnostic overshadowing in a population of children with neurological disabilities: A cross sectional descriptive study on acquired ADHD. Eur J Paediatr Neurol 2015; 19:521–524Crossref, Medline, Google Scholar
50 : Improving the diagnosis of physical illness in patients with mental illness who present in emergency departments: consensus study. J Psychosom Res 2015; 78:346–351Crossref, Medline, Google Scholar
51 : Diagnostic overshadowing and other challenges involved in the diagnostic process of patients with mental illness who present in emergency departments with physical symptoms: a qualitative study. PLoS One 2014; 9:e111682Crossref, Medline, Google Scholar
52 Cognitive impairment in multiple sclerosis: a forgotten disability remembered. Cerebrum (Epub ahead of print, November 30, 2012)Google Scholar
53 : Delay in the diagnosis of multiple sclerosis in Croatia. Clin Neurol Neurosurg 2013; 115(Suppl 1):S70–S72Crossref, Medline, Google Scholar
54 : Factors associated with delay to medical recognition in two Canadian multiple sclerosis cohorts. J Neurol Sci 2010; 292:57–62Crossref, Medline, Google Scholar
55 : Reporting delay and corrected incidence of multiple sclerosis. Stat Med 1999; 18:1691–1706Crossref, Medline, Google Scholar
56 : Characteristics of multiple sclerosis at onset and delay of diagnosis and treatment in Spain (the Novo Study). J Neurol 2010; 257:1500–1507Crossref, Medline, Google Scholar
57 : Comorbidity delays diagnosis and increases disability at diagnosis in MS. Neurology 2009; 72:117–124Crossref, Medline, Google Scholar
58 : Sensitivity and specificity of the Mood Disorder Questionnaire for detecting bipolar disorder. J Affect Disord 2004; 81:167–171Crossref, Medline, Google Scholar
59 : Attempted suicide in bipolar disorder: risk factors in a cohort of 6086 patients. PLoS One 2014; 9:e94097Crossref, Medline, Google Scholar