Assessment Of Depression In Multiple Sclerosis: Development Of A “Trunk And Branch” Model

The quality of life in patients with multiple sclerosis - Association with depressive symptoms and physical disability: A prospective and observational study

Background

Patients with multiple sclerosis (MS) experience disabilities which significantly affect their quality of life (QOL) and mental health. Mood disorders and depressive symptoms are one of the most common psychiatric conditions in MS patients. This study aimed to evaluate the level of QOL in MS patients and to assess the influence of depressive symptoms and physical disability on QOL.

Methods

This prospective and observational study was conducted among 100 MS patients (mean age of 36.23 ± 11.77) recruited from the Lower Silesian Unit of the Polish Association for Multiple Sclerosis. This study used a questionnaire designed by the authors, which contained questions about sociodemographic and clinical data, as well as the following standardized questionnaires: the Activities of Daily Living questionnaire (ADL), the Instrumental Activities of Daily Living questionnaire (IADL), the Expanded Disability Status Scale (EDSS), the Beck Depression Inventory (BDI) and Multiple Sclerosis International Quality of Life Questionnaire (MusiQOL).

Results

The average EDSS score among patients was 3.13 ± 2.38 points. More than half of the respondents (68%) suffered from depression of varying severity. The univariate linear regression models showed that the independent (p < 0.05) QOL predictors (total MusiQOL) were as follows: the number of complaints, IADL results, BDI results, EDSS score, higher education, and material status >2000 PLN. In addition, the multiple linear regression model showed that the BDI result was a significant predictor of QOL (p < 0.005).

Conclusion

Depressive symptoms significantly affect the QOL of MS patients.

Perceived Fatigue Impact and Cognitive Variability in Multiple Sclerosis

OBJECTIVE

People with Multiple Sclerosis (PwMS) and healthy controls (HCs) were evaluated on cognitive variability indices and we examined the relationship between fatigue and cognitive variability between these groups. Intraindividual variability (IIV) on a neuropsychological test battery was hypothesized to mediate the group differences expected in fatigue.

METHOD

Fifty-nine PwMS and 51 HCs completed a psychosocial interview and battery of neuropsychological tests and questionnaires during a 1-day visit. Fatigue in this study was measured with the Fatigue Impact Scale (FIS), a self-report multidimensional measure of fatigue. IIV was operationalized using two different measures, a maximum discrepancy score (MDS) and intraindividual standard deviation (ISD), in two cognitive domains, memory and attention/processing speed. Two mediation analyses with group (PwMS or HCs) as the independent variable, variability composite (memory or attention/processing speed) measures as the mediators, total residual fatigue (after accounting for age) as the outcome, and depression as a covariate were conducted. The Baron and Kenny approach to testing mediation and the PROCESS macro for testing the strength of the indirect effect were used.

RESULTS

Results of a mediation analysis using 5000 bootstrap samples indicated that IIV in domains of both attention/processing speed and memory significantly mediated the effect of patient status on total residual fatigue.

CONCLUSION

IIV is an objective performance measure that is related to differences in fatigue impact between PwMS and HCs. PwMS experience more variability across tests of attention/processing speed and memory and this experience of variable performance may increase the impact of fatigue.

Major depressive disorder subtypes and depression symptoms in multiple sclerosis: What is different compared to the general population?

OBJECTIVE

To compare and characterize major depressive disorder (MDD) subtypes (i.e., pure atypical, pure melancholic and mixed atypical-melancholic) and depression symptoms in persons with multiple sclerosis (PwMS) with persons without MS (Pw/oMS) fulfilling the DSM-5 criteria for a past 12-month MDD.

METHODS

MDD in PwMS (n = 92) from the Swiss Multiple Sclerosis Registry was compared with Pw/oMS (n = 277) from a Swiss community-based study. Epidemiological MDD diagnoses were based on the Mini-SPIKE (shortened form of the Structured Psychopathological Interview and Rating of the Social Consequences for Epidemiology). Logistic and multinomial regression analyses (adjusted for sex, age, civil status, depression and severity) were computed for comparisons and characterization. Latent class analysis (LCA) was conducted to empirically identify depression subtypes in PwMS.

RESULTS

PwMS had a higher risk for the mixed atypical-melancholic MDD subtype (OR = 2.22, 95% CI = 1.03-4.80) compared to Pw/oMS. MDD in PwMS was specifically characterized by a higher risk of the two somatic atypical depression symptoms 'weight gain' (OR = 6.91, 95% CI = 2.20-21.70) and 'leaden paralysis' (OR = 3.03, 95% CI = 1.35-6.82) and the symptom 'irritable/angry' (OR = 3.18, 95% CI = 1.08-9.39).

CONCLUSIONS

MDD in PwMS was characterized by a higher risk for specific somatic atypical depression symptoms and the mixed atypical-melancholic MDD subtype. The pure atypical MDD subtype, however, did not differentiate between PwMS and Pw/oMS. Given the high phenomenological overlap with MS symptoms, the mixed atypical-melancholic MDD subtype represents a particular diagnostic challenge.

Identifying Perceptual, Motor, and Cognitive Components Contributing to Slowness of Information Processing in Multiple Sclerosis with and without Depressive Symptoms

Increasing findings suggest that different components of the stimulus-response pathway (perceptual, motor or cognitive) may account for slowed performance in Multiple Sclerosis (MS). It has also been reported that depressive symptoms (DS) exacerbate slowness in MS. However, no prior studies have explored the independent and joint impact of MS and DS on each of these components in a comprehensive manner. The objective of this work was to identify perceptual, motor, and cognitive components contributing to slowness in MS patients with and without DS. The study includes 33 Relapsing-Remitting MS patients with DS, 33 without DS, and 26 healthy controls. Five information processing components were isolated by means of ANCOVA analyses applied to five Reaction Time tasks. Perceptual, motor, and visual search components were slowed down in MS, as revealed by ANCOVA comparisons between patients without DS, and controls. Moreover, the compounding effect of MS and DS exacerbated deficits in the motor component, and slowed down the decisional component, as revealed by ANCOVA comparisons between patients with and without DS. DS seem to exacerbate slowness caused by MS in specific processing components. Identifying the effects of having MS and of having both MS and DS may have relevant implications when targeting cognitive and mood interventions.

Anxiety and depression in Multiple Sclerosis (MS): Antecedents, consequences, and differential impact on well-being and quality of life

BACKGROUND

Individuals with multiple sclerosis (MS) are often plagued by the unpredictability of their disease and have to contend with uncertainty in their life and significant life changes. This can lead to high levels of stress, perceived lack of control, helplessness, and anxiety. Despite these circumstances, anxiety disorders are often overshadowed by depression, which can result in its presence being overlooked and undertreated by many medical professionals.

METHODS

One hundred and eighty three individuals with MS completed a comprehensive online survey assessing depression and anxiety and the demographic and disease risk factors of such, including social support and substance use. Participants also completed measures of MS symptomatology, disease management, psychological well-being, and quality of life to determine the impact of depression and anxiety on outcomes associated with MS.

RESULTS

Findings suggest that both depression and anxiety are prevalent in MS and related to many outcomes. However, based on comparisons of the associations and group comparisons, with a few exceptions, anxiety proved to more impactful than depression when examining these outcomes. When evaluating the risk factors/contributors of anxiety and depression, social support was a consistent predictor. Younger age and shorter disease duration were also associated with anxiety, while lower education and substance use were predictors of depression.

CONCLUSION

Findings suggest that attention to anxiety be given as much as depression as it plays a large role in individuals' perceived health and well-being, which subsequently impacts the severity of symptoms and overall quality of life. Early identification of anxiety and potential substance use and increased social support also appear to be crucial for mitigating the impact of depression and anxiety.

The neuropsychiatry of multiple sclerosis

Multiple sclerosis (MS), an immune-mediated demyelinating condition, is the most common neurological disease affecting young adults in the UK. It has a high psychiatric comorbidity and over half of patients have some degree of cognitive impairment that adds to the burden of disability. This article reviews the psychiatric and cognitive manifestations of MS and their detection and treatment. Recent advances in the treatment of the disease are briefly reviewed and the impact of disease-modifying therapies on psychiatric morbidity and cognitive impairment is discussed.

LEARNING OBJECTIVES

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DECLARATION OF INTEREST

None.

The evaluation of depression in multiple sclerosis using the newly proposed Multiple Sclerosis Depression Rating Scale

Fatigue and depression are frequent symptoms in multiple sclerosis (MS). Both are overlapping and shadowing each other and may impair the quality of life. For detection of depression symptoms in MS, the Multiple Sclerosis Depression Rating Scale (MSDRS) has been proposed recently. Here, we compare the performance of MSDRS in MS patients with and without fatigue to that of established rating scales, i.e. Hospital Anxiety and Depression Scale and Beck Depression Inventory. Twenty-nine MS patients were screened for fatigue and depression symptoms. Patients with fatigue showed significantly higher depression scores compared to patients without fatigue, whereas the number of depressed patients did not differ between the two groups. MSDRS seems to have higher sensitivity to detect severe depression than established rating scales. However, one should keep in mind that such a finding might be due to an increase in false positive cases when using MSDRS. Implementing this scale in future studies might be of help to enhance the understanding of its potential utility.

Does the presence of multiple sclerosis impact on symptom profile in depressed patients?

OBJECTIVE

Major depressive disorder (MDD) is common in patients with multiple sclerosis (MS) but may remain unrecognized because of overlapping symptoms and different presentation due to its specific MS-related neurobiological aetiology. We aimed to investigate the clinical profile of MDD in MS.

METHODS

In a sample of MDD patients with MS (n=83) and without MS (n=782), MDD characteristics, 30 depressive symptoms, and sum scores of cognitive, somatic, atypical and melancholic symptom clusters were compared using logistic regression analyses and analysis of co-variance.

RESULTS

MDD in MS was characterized by older age of onset (p<0.001), and fewer comorbid anxiety disorders (37% versus 72%; p<0.001). The symptom 'future pessimism' was more common in MS patients (OR=1.62; 95%CI=1.02-2.59). 'Diminished capacity for pleasure/enjoyment' (OR=0.44; 95%CI=0.24-0.78), 'increased appetite' (OR=0.40; 95%CI=0.19-0.85), 'arousal symptoms' (OR=0.49; 95%CI=0.28-0.84), and 'panic/phobic symptoms' (OR=0.49; 95%CI=0.29-0.84) were less common in MS patients. Twenty-five symptoms (83%) out of 30, including depression's core symptoms (sadness and loss of interest) were not differentially associated with MS and no differences existed for the symptom clusters.

CONCLUSION

Only subtle differences in depressive symptom profiles existed between MDD patients with and without MS. The clinical profile of depression remains valid among MS patients, although it presents with diminished anxiety distress and comorbidity.

Assessment of depression in epilepsy: the utility of common and disease-specific self-report depression measures

OBJECTIVES

Depression is common in epilepsy, with rates ranging from 20 to 55% in most samples and reports as high as 70% in patients with intractable epilepsy. However, some contend that depression may be over- and/or under-reported and treated in this population. This may be due to the use of common self-report depression measures that fail to take into account the overlap of disease and depressive symptoms and also the host of side effects associated with antiepileptic medication, which may also be construed as depression.

METHODS

The present study examined the utility of common self-report depression measures and those designed specifically for the medically ill, including a proposed new measure, to determine which may be more appropriate for use among people with epilepsy.

RESULTS

We found that common self-report depression measures are useful for screening depression in epilepsy, particularly with a raised cutoff for one, with sensitivities ranging from .91 to .96. A measure designed for the medically ill obtained the greatest specificity of .91, suggesting its use as a diagnostic tool with a slightly raised cutoff. The positive likelihood ratio of this latter measure was 8.76 with an overall classification accuracy of 88%.

CONCLUSIONS

Assessment of depression in epilepsy can be improved when utilizing self-report measures that better differentiate disease symptoms from neurovegetative symptoms of depression (e.g. fatigue, sleep disturbance). This was demonstrated in the present study. Clinical implications are discussed.

The contribution of depressive symptoms to slowness of information processing in relapsing remitting multiple sclerosis

Background:

Slowness of information processing has been suggested as a fundamental factor modulating cognitive impairment in multiple sclerosis (MS). However, the contribution of depressive symptoms (DS) to slowness remains unclear. One of the most accepted hypotheses on the impact of depression on the general population suggests that depression interferes only with tasks requiring high cognitive demands. However, no studies have investigated if the same pattern occurs in MS.

Objective:

The aim of this study was to determine the profile of the contribution of DS to slowness.

Methods:

Four Reaction Time (RT) tasks requiring an increasing level of cognitive demands were administered to 35 relapsing remitting MS patients with DS, 33 MS patients without DS, 17 depressed non-MS patients and 27 controls.

Results:

MS patients without DS obtained longer RTs than controls in all the tasks. On the contrary, depressed non-MS patients were slower than controls only in the most demanding task. Finally, MS patients with DS were slower than MS patients without DS not only in the most demanding task but also in the task requiring a lower level of cognitive demands.

Conclusion:

The contribution of DS to slowness depends on the level of cognitive demands. However, its impact on MS is more deleterious than on the general population.

The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies

BACKGROUND

The prevalence of depression in people with multiple sclerosis (PwMS) is high; however, symptoms common to both conditions makes measurement difficult. There is no high quality overview of validation studies to guide the choice of depression inventory for this population.

METHODS

A systematic review of studies validating the use of generic depression inventories in people with MS was conducted using MEDLINE and PsycINFO. Studies validating the use of depression inventories in PwMS and published in English were included; validation studies of tests for cognitive function and general mental health were excluded. Eligible studies were then quality assessed using the COSMIN checklist and findings synthesised narratively by instrument and validity domain.

RESULTS

Twenty-one studies (N = 5,991 PwMS) evaluating 12 instruments were included in the review. Risk of bias varied greatly between instrument and validity domain.

CONCLUSIONS

The review of validation studies was constrained by poor quality reporting and outcome reporting bias. Well-conducted evaluations of some instruments are unavailable for some validity domains. This systematic review provides an evidence base for trade-offs in the selection of an instrument for assessing self-reported symptoms of depression in research or clinical practice involving people with MS. We make detailed and specific recommendations for where further research is needed.

TRIAL REGISTRATION

PROSPERO CRD42014010597.

Depression in multiple sclerosis: The utility of common self-report instruments and development of a disease-specific measure

The ultimate objective of the present investigation was to improve the detection of depression in multiple sclerosis (MS) by comparing common self-report depression measures to a new, modified measure, which takes into account the contribution that symptoms of MS may have on individuals' reports. There has been a longstanding concern regarding the accurate assessment of depression in MS, particularly with regard to the overlap of MS symptomatology and neurovegetative depression symptoms on self-report questionnaires, which may lead to an overdiagnosis of depression in MS. To address these difficulties, we previously proposed a "trunk and branch" of depression in MS. This model allows for the delineation of what symptoms are most reflective of depression in MS. By identifying these symptoms, it was possible to develop a modified Beck Depression Inventory (BDI) in which only the items found to be most related to depression in MS are included in the new measure, the MS Specific BDI (MS-BDI). We compared this measure to common self-report instruments (Beck Depression Inventory-Second Edition, BDI-II; Beck Depression Inventory-Fast Screen, BDI-FS; Chicago Multiscale Depression Inventory, CMDI). Results suggest that cutoffs of 4 on the BDI-FS and 23 on the CMDI Mood subscale are most useful when screening for depression in MS, with a sensitivity for both of 100%, while a cutoff of 19 on the BDI-II, a cutoff of 22 on the CMDI Evaluative scale, and a cutoff of 8 on the MS-BDI had high specificities, suggesting they can be used as to assist in diagnosing depression in MS.

Validity of four screening scales for major depression in MS

BACKGROUND

There is a role for brief assessment instruments in detection and management of major depression in MS. However, candidate scales have rarely been validated against a validated diagnostic interview. In this study, we evaluated the performance of several candidate scales: Patient Health Questionnaire (PHQ)-9, PHQ-2, Center for Epidemiologic Studies Depression rating scale (CES-D), and Hospital Anxiety and Depression Scale (HADS-D) in relation to the Structured Clinical Interview for DSM-IV (SCID).

METHODS

The sample was an unselected series of 152 patients attending a multiple sclerosis (MS) clinic. Participants completed the scales during a clinic visit or returned them by mail. The SCID was administered by telephone within two weeks. The diagnosis of major depressive episode, according to the SCID, was used as a reference standard. Receiver-operator curves (ROC) were fitted and indices of measurement accuracy were calculated.

RESULTS

All of the scales performed well, each having an area under the ROC > 90%. For example, the PHQ-9 had 95% sensitivity and 88.3% specificity when scored with a cut-point of 11. This cut-point achieved a 56% positive predictive value for major depression.

CONCLUSIONS

While all of the scales performed well in terms of their sensitivity and specificity, the availability of the PHQ-9 in the public domain and its brevity may enhance the feasibility of its use.

Validation of mood measures for people with multiple sclerosis

BACKGROUND

Valid assessments are needed in order to identify anxiety and depression in people with multiple sclerosis (MS). The objective of this study was to assess the validity of questionnaire measures of mood in people with MS.

METHODS

People with MS were recruited from a clinic database and asked to complete and return a questionnaire containing the Beck Anxiety Inventory (BAI), Beck Depression Inventory-II (BDI-II), and Hospital Anxiety and Depression Scale (HADS). Those who returned the questionnaire were invited to complete a structured clinical interview, which was blind to the results of the questionnaire.

RESULTS

The BDI-II and HADS were both found to be valid measures to detect depression and anxiety in people with MS. An optimum cutoff score of 23 for the BDI-II yielded high sensitivity (85%) and high specificity (76%). An optimum cutoff score of 11 for the HADS demonstrated high sensitivity and specificity for both the Anxiety subscale (sensitivity 90%, specificity 92%) and the Depression subscale (sensitivity 77%, specificity 81%). The BAI had high sensitivity (80%) but poor specificity (46%) for detecting anxiety.

CONCLUSION

The BDI-II and HADS can be used to identify mood disorders in people with MS.

Reliability and validity of the Beck Depression Inventory-Fast Screen for medical patients in the general German population

BACKGROUND

The Beck Depression Inventory Fast Screen (BDI-FS) is a self-report instrument for the detection of depression in youths and adults. It measures the severity of the depression, corresponding to the non-somatic criteria for the diagnosis of a major depression according to DSM-5. Until now the psychometric properties of the instrument have not been studied in the general population.

METHODS

In 2012, a survey representative for the Federal Republic of Germany was conducted. In addition to the BDI-FS, further self-rating questionnaires as well as a demographic questionnaire were administered.

RESULTS

Altogether, 4480 people were surveyed with a return rate of 56.1% (N=2467 persons). Approximately 53% of those surveyed were women. The average age was 49.4 years (SD=18.0), with a range of 14-91 years. For the BDI-FS total-scores, a coefficient α of .84 was determined (women: α=.83; men: α=.85). In addition, a convergent validity (r=.67) was determined with the Patient Health Questionnaire (PHQ-9). The discriminant validity of the BDI-FS can be classified as satisfactory. Based on a confirmatory factor analysis, the one-dimensionality of the BDI-FS could be confirmed, achieving very good fit indices (total sample: RMSEA=.058, CFI=.990, TLI=.986). An additional invariance analysis regarding gender, different age groups and their interaction resulted in strict invariance for the different multi-group analyses.

LIMITATIONS

Studies regarding stability have yet to be undertaken. A standard diagnostic interview for depression was not included.

CONCLUSION

The results support the reliability and validity of the BDI-FS for use with the general German population. Although in the present studies the BDI-FS was superior to the PHQ-9 in terms of its ability to discriminate between depressive and somatic symptoms, in future investigations the diagnostic efficiency of the BDI-FS should be compared with this and other depression inventories (e.g., PHQ-2, PHQ-8, and CES-D).

Symptom overlap in anxiety and multiple sclerosis

BACKGROUND

The validity of self-rated anxiety inventories in people with multiple sclerosis (pwMS) is unclear. However, the appropriateness of self-reported depression scales has been widely examined. Given somatic symptom overlap between depression and MS, research emphasises caution when using such scales.

OBJECTIVE

This study evaluates symptom overlap between anxiety and MS in a group of 33 individuals with MS, using the Beck Anxiety Inventory (BAI).

METHODS

Participants underwent a neurological examination and completed the BAI.

RESULTS

A novel procedure using hierarchical cluster analysis revealed three distinct symptom clusters. Cluster one ('wobbliness' and 'unsteady') grouped separately from all other BAI items. These symptoms are well-recognised MS-related symptoms and we question whether their endorsement in pwMS can be considered to reflect anxiety. A modified 19-item BAI (mBAI) was created which excludes cluster one items. This removal reduced the number of MS participants considered 'anxious' by 21.21% (low threshold) and altered the level of anxiety severity for a further 27.27%.

CONCLUSION

Based on these data, it is suggested that, as with depression measures, researchers and clinicians should exercise caution when using brief screening measures for anxiety in pwMS.