Symptom overlap in anxiety and multiple sclerosis

Subtypes of relapsing-remitting multiple sclerosis identified by network analysis

We used network analysis to identify subtypes of relapsing-remitting multiple sclerosis subjects based on their cumulative signs and symptoms. The electronic medical records of 113 subjects with relapsing-remitting multiple sclerosis were reviewed, signs and symptoms were mapped to classes in a neuro-ontology, and classes were collapsed into sixteen superclasses by subsumption. After normalization and vectorization of the data, bipartite (subject-feature) and unipartite (subject-subject) network graphs were created using NetworkX and visualized in Gephi. Degree and weighted degree were calculated for each node. Graphs were partitioned into communities using the modularity score. Feature maps visualized differences in features by community. Network analysis of the unipartite graph yielded a higher modularity score (0.49) than the bipartite graph (0.25). The bipartite network was partitioned into five communities which were named fatigue, behavioral, hypertonia/weakness, abnormal gait/sphincter, and sensory, based on feature characteristics. The unipartite network was partitioned into five communities which were named fatigue, pain, cognitive, sensory, and gait/weakness/hypertonia based on features. Although we did not identify pure subtypes (e.g., pure motor, pure sensory, etc.) in this cohort of multiple sclerosis subjects, we demonstrated that network analysis could partition these subjects into different subtype communities. Larger datasets and additional partitioning algorithms are needed to confirm these findings and elucidate their significance. This study contributes to the literature investigating subtypes of multiple sclerosis by combining feature reduction by subsumption with network analysis.

Clinical correlates of state and trait anxiety in multiple sclerosis

BACKGROUND

Anxiety represents one of the most prevalent psychiatric symptoms in multiple sclerosis (MS), impacting the overall disease burden and quality of life. This psychopathological feature can be expressed as state (S-ANX) and trait (T-ANX) anxiety, but few studies specifically evaluated these two components in MS. The present study was aimed at investigating the prevalence and specific correlates of S-ANX and T-ANX in a cohort of people with MS (PwMS).

METHODS

88 in- and out-patients with MS were consecutively recruited. S-ANX and T-ANX were evaluated with the two subscales of the State and Trait Anxiety Inventory. Bivariate analyses were performed to compare PwMS who displayed clinically significant S-ANX and T-ANX and those who did not. Two logistic regression models were run in order to identify variables significantly associated with S-ANX and T-ANX.

RESULTS

S-ANX and T-ANX presented a prevalence of 42% and 45.5%, respectively. S-ANX was more frequent in subjects hospitalized due to recent MS onset. PwMS and S-ANX more frequently had a recent relapse, as well as evidence of disease activity on brain magnetic resonance imaging. Subjects with T-ANX were more often females and displayed higher severity of fatigue. Depressive features at the Beck Depression Inventory were more severe in both S-ANX and T-ANX subjects. PwMS with S-ANX reported a higher prevalence of T-ANX and vice versa. At the logistic regressions, depression severity displayed a significant association with S-ANX and T-ANX. We also detected positive associations between S-ANX and inpatient status, as well as between T-ANX and female sex.

CONCLUSION

Both S-ANX and T-ANX are highly prevalent features in PwMS. These two components of anxiety should be adequately identified and discriminated in the clinical practice. The higher severity of depression in PwMS with clinically significant anxiety should not be neglected.

A Randomized Controlled Pilot Study on Mindfulness-Based Cognitive Therapy for Unipolar Depression in Patients With Chronic Pain

OBJECTIVE

Chronic pain is a disabling illness, often comorbid with depression. We performed a randomized controlled pilot study on mindfulness-based cognitive therapy (MBCT) targeting depression in a chronic pain population.

METHOD

Participants with chronic pain lasting ≥ 3 months; DSM-IV major depressive disorder (MDD), dysthymic disorder, or depressive disorder not otherwise specified; and a 16-item Quick Inventory of Depressive Symptomatology-Clinician Rated (QIDS-C₁₆) score ≥ 6 were randomly assigned to MBCT (n = 26) or waitlist (n = 14). We adapted the original MBCT intervention for depression relapse prevention by modifying the psychoeducation and cognitive-behavioral therapy elements to an actively depressed chronic pain population. We analyzed an intent-to-treat (ITT) and a per-protocol sample; the per-protocol sample included participants in the MBCT group who completed at least 4 of 8 sessions. Changes in scores on the QIDS-C₁₆ and 17-item Hamilton Depression Rating Sale (HDRS₁₇) were the primary outcome measures. Pain, quality of life, and anxiety were secondary outcome measures. Data collection took place between January 2012 and July 2013.

RESULTS

Nineteen participants (73%) completed the MBCT program. No significant adverse events were reported in either treatment group. ITT analysis (n = 40) revealed no significant differences. Repeated-measures analyses of variance for the per-protocol sample (n = 33) revealed a significant treatment × time interaction (F₁,₃₁ = 4.67, P = .039, η²p = 0.13) for QIDS-C₁₆ score, driven by a significant decrease in the MBCT group (t₁₈ = 5.15, P < .001, d = >1.6), but not in the control group (t₁₃ = 2.01, P = .066). The HDRS₁₇ scores did not differ significantly between groups. The study ended before the projected sample size was obtained, which might have prevented effect detection in some outcome measures.

CONCLUSIONS

MBCT shows potential as a treatment for depression in individuals with chronic pain, but larger controlled trials are needed.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT01473615.

Mental Health Comorbidity in MS: Depression, Anxiety, and Bipolar Disorder

Among individuals with multiple sclerosis (MS), mental health comorbidities play a significant role in contributing to secondary disability and detracting from quality of life. This review examines current evidence surrounding three mental health issues of particular relevance to MS: depression, anxiety, and bipolar disorder. We review what is known of the prevalence, correlates, screening mechanisms, and current treatment of each issue and provide recommendations for future areas of research.

Neuropsychiatric syndromes of multiple sclerosis

Neuropsychiatric signs and symptoms occur frequently in individuals with multiple sclerosis (MS), either as the initial presenting complaint prior to a definitive neurological diagnosis or more commonly with disease progression. However, the pathogenesis of these comorbid conditions remains unclear and it remains difficult to accurately elucidate if neuropsychiatric symptoms or conditions are indicators of MS illness severity. Furthermore, both the disease process and the treatments of MS can adversely impact an individual's mental health. In this review, we discuss the common neuropsychiatric syndromes that occur in MS and describe the clinical symptoms, aetiology, neuroimaging findings and management strategies for these conditions.

Anxiety in Multiple Sclerosis: psychometric properties of the State-Trait Anxiety Inventory

OBJECTIVE

The aims of the present study were to examine psychometric properties of the Spielberger State-Trait Anxiety Inventory (STAI-Y-1 and STAI-Y-2, respectively) in a Multiple Sclerosis (MS) population and to identify a cut-off score to detect those MS patients with high level of state and/or trait anxiety who could be more vulnerable to development of depression and/or cognitive defects.

MATERIAL AND METHODS

The STAI-Y-1 and STAI-Y-2 was completed by a group of patients (n = 175) affected by MS and a group of healthy subjects (n = 150) matched for age, educational level, and gender. In MS patients internal consistency, divergent and discriminant validities were evaluated. Construct validity was examined by exploratory factor analysis for each scale.

RESULTS

There was no missing data, no floor or ceiling effects for both scales. The two scales showed high internal consistency, good divergent, and Known-groups validities. To identify high levels of state and trait anxiety in a patient with MS, we proposed three gender specific screening cut-off values (1, 1.5, 2 SD) for the STAI-Y-1 and the STAI-Y-2.

CONCLUSIONS

The findings showed that the STAI-Y-1 and the STAI-Y-2 are a valid tool for clinical use in MS patients and can be useful to measure the severity of anxiety and to identify those patients with high anxiety to introduce them in specific non-pharmacological intervention.

Cognitive functions over the course of 1 year in multiple sclerosis patients treated with disease modifying therapies

OBJECTIVES

Disease-modifying therapies (DMTs) are applied to delay or prevent disease progression in multiple sclerosis (MS). While this has mostly been proven for physical symptoms, available studies regarding long-term effects of DMTs on cognitive functions are rare and sometimes inconsistent due to methodological shortcomings. Particularly in the case of fingolimod, comprehensive data on cognitive functions are not yet available. Therefore, we set out to reliably assess cognitive functions in patients with relapsing-remitting MS (RRMS) treated with DMTs over 1 year.

METHODS

Cognitive functions were assessed with eight tests at three timepoints: baseline, 6-month follow up and 12-month follow up. First, we investigated whether the stability of cognitive functions (i.e. not falling below the 5% cut-off in more than one test) over 1 year in RRMS patients (n = 41) corresponds to the stability in healthy individuals (n = 40) of a previous study. Second, we compared the percentage of declined and improved patients in the different tests. Third, we compared patients treated with fingolimod (n = 22) with patients treated with natalizumab (n = 11) with regard to cognitive stability. Fourth, based on the patient data, the Reliable Change Index was applied to compute cut-offs for reliable cognitive change.

RESULTS

Approximately 75% of RRMS patients treated with DMTs remained stable over the course of 1 year. The Paced Auditory Serial Addition Test (PASAT) and the Spatial Recall Test (SPART), produced improvements in 12.5% and 30.6%, respectively, probably due to practice effects. Patients treated with fingolimod did not differ from patients treated with natalizumab with regard to cognitive stability.

CONCLUSIONS

Cognitive functions remain relatively stable under DMT treatment over 1 year, irrespective of the type of medication. Furthermore, the tests PASAT and SPART should be interpreted cautiously in studies examining performance changes over time. The provided RCI norms may help clinicians to determine whether a difference in two measurements observed in a RRMS patient is reliable.

Delayed P100-Like Latencies in Multiple Sclerosis: A Preliminary Investigation Using Visual Evoked Spread Spectrum Analysis

Conduction along the optic nerve is often slowed in multiple sclerosis (MS). This is typically assessed by measuring the latency of the P100 component of the Visual Evoked Potential (VEP) using electroencephalography. The Visual Evoked Spread Spectrum Analysis (VESPA) method, which involves modulating the contrast of a continuous visual stimulus over time, can produce a visually evoked response analogous to the P100 but with a higher signal-to-noise ratio and potentially higher sensitivity to individual differences in comparison to the VEP. The main objective of the study was to conduct a preliminary investigation into the utility of the VESPA method for probing and monitoring visual dysfunction in multiple sclerosis. The latencies and amplitudes of the P100-like VESPA component were compared between healthy controls and multiple sclerosis patients, and multiple sclerosis subgroups. The P100-like VESPA component activations were examined at baseline and over a 3-year period. The study included 43 multiple sclerosis patients (23 relapsing-remitting MS, 20 secondary-progressive MS) and 42 healthy controls who completed the VESPA at baseline. The follow-up sessions were conducted 12 months after baseline with 24 MS patients (15 relapsing-remitting MS, 9 secondary-progressive MS) and 23 controls, and again at 24 months post-baseline with 19 MS patients (13 relapsing-remitting MS, 6 secondary-progressive MS) and 14 controls. The results showed P100-like VESPA latencies to be delayed in multiple sclerosis compared to healthy controls over the 24-month period. Secondary-progressive MS patients had most pronounced delay in P100-like VESPA latency relative to relapsing-remitting MS and controls. There were no longitudinal P100-like VESPA response differences. These findings suggest that the VESPA method is a reproducible electrophysiological method that may have potential utility in the assessment of visual dysfunction in multiple sclerosis.

A Fresh Look at the Potential Mechanisms of Progressive Muscle Relaxation Therapy on Depression in Female Patients With Multiple Sclerosis

Background:

According to the World Health Organization (WHO) report released in 2000, about 121 million people worldwide suffer from depression. The major depressive disorder (MDD) among multiple sclerosis (MS) patients is one of the most common mood disorders experienced during life. MS patients who simultaneously suffer from depression have reported more severe symptoms of disease and slower adaptation to new conditions, which ultimately increase the cost of treatment.

Objectives:

The aim of this study was to assess the effectiveness of progressive muscle relaxation therapy (PMRT) as an adjunctive therapy for reducing level of depression for MS patients.

Materials and Methods:

This research had the randomized controlled trial design with pre and posttest. Thirty female patients based on criteria of MS and MDD disease, were selected from the MS Society of Shiraz, Iran. Beck Depression Inventory (BDI-II) was administered at pre and posttest. The participants were randomly allocated to two groups (experimental and control). Twelve sessions of PMRT using Bernstein and Borkovec’s method were held for the experimental group. Levin’s test, covariance and ANOVA with repeated measures were used for data analysis.

Results:

Experimental and control groups were compared before and after treatment. Analysis of covariance showed that seven levels of depression decreased in the experimental group and analysis of repeated measure showed that 49% of the changes were related to PMRT.

Conclusion:

According to the results, PMRT is effective in reducing depression. This therapy enables patients to reach relaxation quickly, and thus can cope with depression reactions effectively.

Predictors of anxiety in multiple sclerosis

PURPOSE/OBJECTIVES

The aims of this study were to (1) identify the predictors of symptoms of anxiety, and (2) evaluate the differential association of somatic and nonsomatic symptoms of depression on anxiety over time in persons with multiple sclerosis (MS).

METHOD/DESIGN

Participants were 513 persons with MS who previously enrolled in a study exploring the experience of living with MS and completed a 4-month follow-up survey. The main outcome measure used was the Hospital Anxiety and Depression Scale-Anxiety. Demographic, disease-associated variables (time since onset of MS, Expanded Disability Status Scale Mobility, pain, and fatigue), and Time 1 psychological variables were entered into a hierarchical regression model to examine predictors at baseline for anxiety symptoms at Time 2.

RESULTS

A large portion of the sample was White (92%), female (82%), and had relapsing-remitting MS (57%). After adjusting for demographic and disease related variables, anxiety (β <.001), employment (β = .07), and nonsomatic depressive symptoms (β = .10) at baseline significantly predicted anxiety at Time 2, ps < .05. Interactions revealed significant effects for time since onset of MS and somatic symptoms as well as time since onset and nonsomatic symptoms, ps < .05. Nonsomatic symptoms were more linked to anxiety early in the disease and somatic symptoms were more prominently linked to anxiety later in the disease.

CONCLUSIONS

Findings suggest that nonsomatic symptoms of depression and employment predict anxiety in MS. The relationship between different aspects of depression and anxiety may change over the course of the disease.

The link between multiple sclerosis and depression

Depression--be it a formal diagnosis based on consensus clinical criteria, or a collection of symptoms revealed by a self-report rating scale--is common in patients with multiple sclerosis (MS) and adds substantially to the morbidity and mortality associated with this disease. This Review discusses the prevalence and epidemiology of depression in patients with MS, before covering aetiological factors, including genetics, brain pathology, immunological changes, dysregulation of the hypothalamic-pituitary-adrenal axis, and psychosocial influences. Treatment options such as antidepressant drugs, cognitive-behavioural therapy, mindfulness-based therapy, exercise and electroconvulsive therapy are also reviewed in the context of MS-related depression. Frequent comorbid conditions, namely pain, fatigue, anxiety, cognitive dysfunction and alcohol use, are also summarized. The article then explores three key challenges facing researchers and clinicians: what is the optimal way to define depression in the context of diseases such as MS, in which the psychiatric and neurological symptoms overlap; how can current knowledge about the biological and psychological underpinnings of MS-related depression be used to boost the validity of this construct; and can intervention be made more effective through use of combination therapies with additive or synergistic effects, which might exceed the modest benefits derived from their individual components?

[Coexistent depressive and anxiety disorders in epilepsy and multiple sclerosis: a challenge to neuropsychiatric practice]

The high rate of co-existent emotional disorders in major neurological disorders, such as epilepsy and multiple sclerosis is challenging. As a rule, this co-existence comprises a more dramatic subjective suffering, a reduced psychological coping, possible negative interferences with somatic treatments and rehabilitations, an impaired quality of life and higher grades of psychosocial disability. It may also lead to an overall increased risk of somatic morbidity and even mortality in the further course of illness. These complex interrelations may be favourably integrated within a biopsychosocial model. Psychological and psychosocial stressors can be appreciated on their own discrete levels, have to be reflected, however, in their neurobiological correlates. Both neurological and emotional disorders frequently share decisive pathogenetic mechanisms, i.e. the underlying process of neurological disease may contribute to major affective problems also in a somato-psychic direction. In addition, mutual interactions of both neurological and psychiatric treatments in their impact on the emotional and neurological risks have to be appreciated.