Validity of four screening scales for major depression in MS

Stressful life events and depression and fatigue in people with multiple sclerosis: a cross-sectional analysis of an international cohort

BACKGROUND

Relationships between stressful life events (SLEs) and health outcomes in people living with multiple sclerosis (plwMS), beyond relapse, are not well-established. We examined associations between SLEs and fatigue and symptoms of depression in plwMS.

METHODS

948 participants were queried whether they had experienced any of the 16 SLEs (Holmes-Rahe Social Readjustment Rating Scale) in the preceding 12 months. SLEs were summated to estimate SLE number and SLE load (weighted for the degree of associated stress). Cross-sectional associations between SLE (number, load and individual) and fatigue, and depressive symptoms were examined using log-binomial or log-multinomial regression adjusted for age, sex, relapse symptoms, education, MS type at baseline, disability, fatigue, comorbidity, depression, and antidepressant/antifatigue medications, as appropriate. Sub-analyses restricted to SLEs with a negative emotional impact were performed.

RESULTS

Median SLE number and load were 2 (IQR 1-2) and 57 (IQR 28-97), respectively. SLE number and load were not associated with a higher prevalence of fatigue, or depressive symptoms, even when restricting analyses to SLEs with a perceived negative emotional impact. A new relationship or family member with a negative impact was associated with a threefold and 2.5-fold higher prevalence of depressive symptoms, respectively. Serious illness was associated with a 28% higher prevalence of depressive symptoms.

CONCLUSION

Psychological support for SLEs, and/or intervention targeted to SLE appraisal, may be beneficial in mitigating the adverse effects of SLEs with a perceived negative emotional impact on depressive symptoms in plwMS. Potential associations between serious illness and increased prevalence of depressive symptoms may warrant further investigation.

Brain connectivity changes underlying depression and fatigue in relapsing-remitting multiple sclerosis: A systematic review

Multiple Sclerosis (MS) is an autoimmune disease affecting the central nervous system, characterised by neuroinflammation and neurodegeneration. Fatigue and depression are common, debilitating, and intertwined symptoms in people with relapsing-remitting MS (pwRRMS). An increased understanding of brain changes and mechanisms underlying fatigue and depression in RRMS could lead to more effective interventions and enhancement of quality of life. To elucidate the relationship between depression and fatigue and brain connectivity in pwRRMS we conducted a systematic review. Searched databases were PubMed, Web-of-Science and Scopus. Inclusion criteria were: studied participants with RRMS (n ≥ 20; ≥ 18 years old) and differentiated between MS subtypes; published between 2001-01-01 and 2023-01-18; used fatigue and depression assessments validated for MS; included brain structural, functional magnetic resonance imaging (fMRI) or diffusion MRI (dMRI). Sixty studies met the criteria: 18 dMRI (15 fatigue, 5 depression) and 22 fMRI (20 fatigue, 5 depression) studies. The literature was heterogeneous; half of studies reported no correlation between brain connectivity measures and fatigue or depression. Positive findings showed that abnormal cortico-limbic structural and functional connectivity was associated with depression. Fatigue was linked to connectivity measures in cortico-thalamic-basal-ganglial networks. Additionally, both depression and fatigue were related to altered cingulum structural connectivity, and functional connectivity involving thalamus, cerebellum, frontal lobe, ventral tegmental area, striatum, default mode and attention networks, and supramarginal, precentral, and postcentral gyri. Qualitative analysis suggests structural and functional connectivity changes, possibly due to axonal and/or myelin loss, in the cortico-thalamic-basal-ganglial and cortico-limbic network may underlie fatigue and depression in pwRRMS, respectively, but the overall results were inconclusive, possibly explained by heterogeneity and limited number of studies. This highlights the need for further studies including advanced MRI to detect more subtle brain changes in association with depression and fatigue. Future studies using optimised imaging protocols and validated depression and fatigue measures are required to clarify the substrates underlying these symptoms in pwRRMS.

Assessment of differential item functioning of the PHQ-9, HADS-D and PROMIS-depression scales in persons with and without multiple sclerosis

OBJECTIVE

We tested for the presence of differential item functioning (DIF) in commonly used measures of depressive symptoms, in people with multiple sclerosis (MS) versus people with a psychiatric disorder without MS.

METHODS

Participants included individuals with MS, or with a lifetime history of a depressive or anxiety disorder (Dep/Anx) but no immune-mediated inflammatory disease. Participants completed the Patient Health Questionnaire (PHQ-9), Hospital Anxiety and Depression Scale (HADS), and the Patient Reported Outcome Measurement Information System (PROMIS)-Depression. We assessed unidimensionality of the measures using factor analysis. We evaluated DIF using logistic regression, with and without adjustment for age, gender and body mass index (BMI).

RESULTS

We included 555 participants (MS: 252, Dep/Anx: 303). Factor analysis showed that each depression symptom measure had acceptable evidence of unidimensionality. In unadjusted analyses comparing the MS versus Dep/Anx groups we identified multiple items with evidence of DIF, but few items showed DIF effects that were large enough to be clinically meaningful. We observed non-uniform DIF for one PHQ-9 item, and three HADS-D items. We also observed DIF with respect to gender (one HADS-D item), and BMI (one PHQ-9 item). For the MS versus Dep/Anx groups, we no longer observed DIF post-adjustment for age, gender and BMI. On unadjusted and adjusted analyses, we did not observe DIF for any PROMIS-D item.

CONCLUSION

Our findings suggest that DIF exists for the PHQ-9 and HADS-D with respect to gender and BMI in clinical samples that include people with MS whereas DIF was not observed for the PROMIS-Depression scale.

Depression and Anxiety in Association with Polypharmacy in Patients with Multiple Sclerosis

Polypharmacy (intake of ≥5 drugs) is an important issue for patients with chronic diseases such as multiple sclerosis (MS). We aimed to assess the prevalence of polypharmacy with regard to the severity of anxiety/depression and to comorbidities. Therefore, 374 MS patients from two German neurological sites were examined for drug burden, comorbidities, disability level and psychopathological measures capturing depression and anxiety using the Hospital Anxiety and Depression Scale (HADS-A and HADS-D). We found that patients with a higher HADS-D score take more medication (r = 0.217, p < 0.001). Furthermore, patients with higher depression severity were more likely to show polypharmacy (p < 0.001). These differences were not significant for anxiety. (p = 0.413). Regarding the frequency of ≥1 comorbidities, there were no significant differences between patients with different HADS-A (p = 0.375) or HADS-D (p = 0.860) severity levels, whereas the concrete number of comorbidities showed a significant positive linear correlation with HADS-A (r = 0.10, p = 0.045) and HADS-D scores (r = 0.19, p < 0.001). In conclusion, symptoms of depression pose a relevant issue for MS patients and are correlated with polypharmacy and comorbidities. Anxiety is not correlated with polypharmacy but with the frequency of several comorbidity groups in MS patients.

The manifestation of affective symptoms in multiple sclerosis and discussion of the currently available diagnostic assessment tools

INTRODUCTION

In addition to physical and cognitive symptoms, patients with multiple sclerosis (MS) have an increased risk of experiencing mental health problems.

METHODS

This narrative review provides an overview of the appearance and epidemiology of affective symptoms in MS such as depression, anxiety, bipolar disorder, euphoria, and pseudobulbar affect. Furthermore, the association between affective symptoms and quality of life and the currently used diagnostic instruments for assessing these symptoms are considered whereby relevant studies published between 2009 and 2021 were included in the review.

RESULTS

Patients with mild and moderate disability more frequently reported severe problems with depression and anxiety than severe mobility problems. Apart from the occurrence of depression, little is known about the association of other affective symptoms such as anxiety, bipolar disorder, euphoria, and pseudobulbar affect and subsyndromal symptoms, which fail to meet the diagnostic criteria but are nevertheless a significant source of distress. Although there are a few recommendations in the research to perform routine screenings for diagnosable affective disorders, a standardized diagnostic procedure to assess subsyndromal symptoms is still lacking. As the applied measurements are diverse and show low accuracy to detect these symptoms, patients who experience affective symptoms are less likely to be identified.

DISCUSSION

In addition to the consideration of definite psychiatric diagnoses, there is an unmet need for a common definition and assessment of disease-related affective symptoms in MS. Future studies should focus on the improvement and standardization of a common diagnostic procedure for subsyndromal affective symptoms in MS to enable integrated and optimal care for patients.

Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis

BACKGROUND

Changes in lifestyle, finances and work status during COVID-19 lockdowns may have led to biopsychosocial changes in people with pre-existing vulnerabilities such as Major Depressive Disorders (MDDs) and Multiple Sclerosis (MS).

METHODS

Data were collected as a part of the RADAR-CNS (Remote Assessment of Disease and Relapse-Central Nervous System) program. We analyzed the following data from long-term participants in a decentralized multinational study: symptoms of depression, heart rate (HR) during the day and night; social activity; sedentary state, steps and physical activity of varying intensity. Linear mixed-effects regression analyses with repeated measures were fitted to assess the changes among three time periods (pre, during and post-lockdown) across the groups, adjusting for depression severity before the pandemic and gender.

RESULTS

Participants with MDDs (N = 255) and MS (N = 214) were included in the analyses. Overall, depressive symptoms remained stable across the three periods in both groups. A lower mean HR and HR variation were observed between pre and during lockdown during the day for MDDs and during the night for MS. HR variation during rest periods also decreased between pre- and post-lockdown in both clinical conditions. We observed a reduction in physical activity for MDDs and MS upon the introduction of lockdowns. The group with MDDs exhibited a net increase in social interaction via social network apps over the three periods.

CONCLUSIONS

Behavioral responses to the lockdown measured by social activity, physical activity and HR may reflect changes in stress in people with MDDs and MS. Remote technology monitoring might promptly activate an early warning of physical and social alterations in these stressful situations. Future studies must explore how stress does or does not impact depression severity.

Automatic Identification of a Depressive State in Primary Care

The Center for Epidemiologic Studies Depression Scale (CES-D) performs well in screening depression in primary care. However, people are looking for alternatives because it screens for too many items. With the popularity of social media platforms, facial movement can be recorded ecologically. Considering that there are nonverbal behaviors, including facial movement, associated with a depressive state, this study aims to establish an automatic depression recognition model to be easily used in primary healthcare. We integrated facial activities and gaze behaviors to establish a machine learning algorithm (Kernal Ridge Regression, KRR). We compared different algorithms and different features to achieve the best model. The results showed that the prediction effect of facial and gaze features was higher than that of only facial features. In all of the models we tried, the ridge model with a periodic kernel showed the best performance. The model showed a mutual fund R-squared (R2) value of 0.43 and a Pearson correlation coefficient (r) value of 0.69 (p < 0.001). Then, the most relevant variables (e.g., gaze directions and facial action units) were revealed in the present study.

A neuropsychologically based employment intervention for women with multiple sclerosis: A quasi-randomized controlled trial

OBJECTIVE

Job loss is common in multiple sclerosis (MS) and frequently associated with depression, fatigue, and cognitive dysfunction. Identifying these modifiable risk factors and providing "at-risk" women with a neuropsychologically-based intervention may improve employment outcomes. Our study seeks to investigate the utility of a neuropsychologically-based intervention with varying levels of treatment and follow-up, and evaluate treatment and employment outcomes among groups.

METHOD

In this longitudinal, quasi-randomized controlled trial, employed women with MS meeting criteria on screening measures were considered "at-risk" for job instability and randomized to one of two neuropsychological testing interventions (standard-care group received testing and phone feedback of results and recommendations; experimental group received testing and in-person feedback with subsequent care-coordinator calls from a nurse to help coordinate recommendation completion). Participants who did not meet criteria were considered "low-risk" and only followed over time.

RESULTS

56 women in the treatment groups (standard-care = 23; experimental = 33) and 63 women in the follow-only group were analyzed at 1 year. Rates of decreased employment were similar between standard-care (17.4%) and experimental (21.2%) groups (OR = .782, 95% CI .200-3.057). However, the experimental group completed significantly more treatment recommendations, t(53) = -3.237, p = .002. Rates of decreased employment were also similar between the "low-risk" (17.5%) and "at-risk" groups (19.6%), (OR = .721, 95% CI .285-1.826).

CONCLUSION

Employment outcomes were similar at 1 year between treatment groups receiving differing levels of a neuropsychologically-based intervention, however treatment adherence significantly improved in the experimental group. Treatment groups also had similar employment outcomes as compared to a "low-risk," no intervention group, suggesting that engaging in either neuropsychological intervention may have impacted job stability.

Alternative scoring of the Patient Health Questionnaire-9 in neurological populations: an approach based on a predictive algorithm deriving from individual item scores

OBJECTIVE

The study objective was to assess whether machine learning methods could improve predictive performance of the PHQ-9 for depression in patients with neurological disease. Specifically, we assessed whether a predictive algorithm deriving from all nine items could outperform the tradition of summing the items and applying a cut-point.

METHOD

Data from the NEEDS Study was used (n = 825). Demographic data, PHQ-9 scores, and MDD diagnoses (via the SCID) were obtained. Logistic LASSO, logistic regression, and non-parametric ROC analyses were performed. The ROC curve was used to identify the optimal cut-point for regression-derived predictive algorithms using the Youden method.

RESULTS

The traditional approach to PHQ-9 scoring had a classification accuracy of 85.1% (sensitivity: 84.5%; specificity: 85.2%). The logistic LASSO regression model had a classification accuracy of 85.6% (sensitivity: 83.3%; specificity: 86.1%). The logistic regression model had a classification accuracy of 85.8% (sensitivity: 91.4%; specificity: 84.8%). Both models had similar areas under the curve values (logistic LASSO: 0.9097; logistic regression: 0.9026).

CONCLUSIONS

The current cut-off threshold approach to PHQ-9 scoring and interpretation remains clinically appropriate.

Determining Prevalence of Depression and Covariates of Depression in a Cohort of Multiple Sclerosis Patients

Background

Depression is one of the most common symptoms experienced by multiple sclerosis patients and may be secondary to the disease itself as well as other variables such as age, disease severity and side effects of treatment.

Objective

To determine if there is an association between disease modifying therapies and depression rates based on PHQ9 scores in multiple sclerosis.

Methods

This was a retrospective chart review. Patients followed at the University of Texas Southwestern Multiple Sclerosis and Neuroimmunology Clinic from 2017 to 2020 were included in this study. Patients’ most recent PHQ-9 scores were used. The following data was extracted from patient charts: disease modifying therapy, age, disease duration, gender, antidepressant use and ambulatory status.

Results

Data from our study included 2611 individual PHQ-9 scores. The majority of our patients were female and the mean age across all treatment groups was 50.37 years old. The median disease duration across all treatment groups was 12.74 years. Most patients in this cohort required no ambulatory assistance. 43.86% of patients were on antidepressants and use was correlated with a higher PHQ9 score. The median PHQ 9 score across all treatment groups was 4 (Interquartile range = 7). Across treatment groups, patients on interferon therapy had the lowest PHQ 9 scores with a median of 2.

Conclusions

Our study demonstrated that there were lower PHQ-9 scores among interferon treatment group as compared to other disease modifying therapies and non-treatment groups

The impact of socioeconomic status on mental health and health-seeking behavior across race and ethnicity in a large multiple sclerosis cohort

BACKGROUND

Psychiatric symptoms are common in multiple sclerosis (MS) and may contribute to worse MS outcomes. Previous studies suggest the burden of symptoms may vary by race, ethnicity and socioeconomic status (SES). Our objective was to expand upon this previous work and explore the associations between SES, race, and ethnicity, as predictors of psychiatric symptoms, mental health attitudes, and health-seeking behavior in patients with MS.

METHODS

Persons with MS answered a national web-based survey including demographic characteristics (including race, ethnicity and measures of SES), mental health attitudes, the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder 7-item (GAD-7) scale, the Modified Fatigue Impact Scale 5-item version (MFIS-5), and the Alcohol Use Disorders Identification Test (AUDIT). The survey also queried mental health availability and perceptions of care. We measured neighborhood-level SES (nSES) of each participant using the Agency for Healthcare Research and Quality (AHRQ) index that was calculated from 5-digit postal codes. Other indicators of participant-level SES included education level and self-reported household income. We assessed the association between race, ethnicity, and neighborhood/participant-level SES indicators and affective symptom burden using generalized linear models that were adjusted for age, sex, and MS characteristics.

RESULTS

2095 participants answered the survey (mean AHRQ index 54.6 ± 5.4, age 51.3 ± 12.2 years, 7% Black/African American, 5.4% Hispanic/Latino, and 81.8% female). Those in the lowest quartile of nSES (most disadvantaged) were more likely to be either Black/African American or Hispanic/Latino as compared to those in highest quartile (least disadvantaged). Those in the lowest quartile of nSES had higher mean MFIS-5 (1.02 points; 95% CI: 0.39, 1.43), PHQ-9 (1.24 points; 95% CI: 0.49, 1.98), and GAD-7 (0.69 points; 95% CI: -0.01, 1.38) scores relative to those in the highest quartile. Of those who consumed alcohol (n = 1489), participants in the lowest AHRQ quartile had lower mean AUDIT scores (-0.73 points; 95% CI: -1.18, -0.29) as compared to those in higher quartiles. Race and ethnicity were not associated with self-reported psychiatric symptom burden in this cohort. SES was also associated with self-reported improvement of symptoms after receiving mental health care. A higher proportion of Black/African American (44.1% vs 30.2%, p = 0.003) and Hispanic/Latino (49.1% vs 30.6%, p<0.001) participants were more likely to report they would "definitely go" receive mental health care if services were co-located with their MS care as compared to white and Non-Hispanic/Latino participants, respectively.

CONCLUSION

Higher SES was associated with a lower burden of psychiatric symptoms and with a higher likelihood of self-reported symptom recovery after receiving mental health treatment. Attitudes regarding mental health care delivery in MS varied according to racial and ethnic background. Future longitudinal studies in more diverse populations should assess whether co-location of mental health services with MS care helps to reduce the gap between access and need of mental health care in MS.

Fatigue, insomnia and daytime sleepiness in multiple sclerosis versus narcolepsy

OBJECTIVES

In multiple sclerosis (MS), fatigue is the most prevalent cause of impaired ability to work. In narcolepsy, daytime sleepiness is the main symptom but some studies indicate fatigue being present. We aimed to assess fatigue and associated features in patients with MS or narcolepsy and healthy controls and to assess whether clinical parameters separate fatigued (MS-F) and non-fatigued MS patients (MS-NoF).

MATERIALS & METHODS

In this non-interventional cross-sectional study, we recruited 34 MS patients, 15 narcolepsy type 1 patients and 17 healthy controls. An interviewer administered the Fatigue Severity Scale (FSS), the Insomnia Severity Index (ISI), the Epworth Sleepiness Scale, the Patient Health Questionnaire-9 and the Saltin-Grimby Physical Activity Level Scale. Information about clinical parameters and current treatments was collected.

RESULTS

In its fatigue profile, MS-F resembled the narcolepsy group rather than MS-NoF, which resembled the healthy control group. ISI alone was significantly associated with FSS, and only in MS-NoF and healthy controls; in MS-F and the narcolepsy group, no variable was associated with FSS. Months since diagnosis was the only clinical variable significantly separating MS-F from MS-NoF. In MS, disease duration correlated with fatigue. No clinical variables correlated with fatigue in the narcolepsy group.

CONCLUSIONS

Fatigued MS patients resemble narcolepsy patients more than they resemble non-fatigued MS patients, who resemble healthy controls. Insomnia is the main factor associated with fatigue in MS, while disease duration is the only clinical variable separating fatigued and non-fatigued MS patients. In fatigued patients, variance in fatigue cannot be explained by insomnia, daytime sleepiness, depression or level of exercise.

How useful is the center for epidemiologic studies depression scale in screening for depression in adults? An updated systematic review and meta-analysis✰

This study analyzes the performance of the Center for Epidemiologic Studies Depression Scale (CES-D) to screen for major depressive disorder (MDD) in adults. We divided adults into three groups such as community-indwelling adults, patients with chronic diseases, and psychiatric patients. Electronic searches were performed on the MEDLINE, EMBASE, CINAHL, and PsycINFO database using the following keywords: depression, depressive disorder, major, and CES-D scale. The Quality Assessment of Diagnostic Accuracy Studies-2 was applied to assess the risk of bias in diagnostic studies. We reviewed 33 studies, including 18,271 adults that met the selection criteria. In meta-analysis, the pooled sensitivity was 0.86 on community-indwelling adults, 0.85 on patients with chronic diseases and 0.85 on psychiatric patients. The pooled specificity was 0.74, 0.84, and 0.88, respectively, and the summary receiver-operating characteristic curves were 0.88, 0.91, and 0.93, respectively. The RE correlation was a negative value (-0.394) only in patients with chronic diseases, showing no heterogeneity between studies. The CES-D, which has shown high diagnostic accuracy in adults, can be recommended for use as a first-stage screener for MDD. As a result, the early application of the CES-D can lead to disease prevention in adults at risk for depression.

Are depressive disorders caused by psychosocial stressors at work? A systematic review with metaanalysis

In the last decade, many studies have examined associations between poor psychosocial work environment and depression. We aimed to assess the evidence for a causal association between psychosocial factors at work and depressive disorders. We conducted a systematic literature search from 1980 to March 2019. For all exposures other than night and shift work and long working hours, we limited our selection of studies to those with a longitudinal design. We extracted available risk estimates for each of 19 psychosocial exposures, from which we calculated summary risk estimates with 95% confidence intervals (PROSPERO, identifier CRD42019130266). 54 studies were included, addressing 19 exposures and 11 different measures of depression. Only data on depressive episodes were sufficient for evaluation. Heterogeneity of exposure definitions and ascertainment, outcome measures, risk parameterization and effect contrasts limited the validity of meta-analyses. Summary risk estimates were above unity for all but one exposure, and below 1.60 for all but another. Outcome measures were liable to high rates of false positives, control of relevant confounding was mostly inadequate, and common method bias was likely in a large proportion of studies. The combination of resulting biases is likely to have inflated observed effect estimates. When statistical uncertainties and the potential for bias and confounding are taken into account, it is not possible to conclude with confidence that any of the psychosocial exposures at work included in this review is either likely or unlikely to cause depressive episodes or recurrent depressive disorders.

Mental symptoms in MS (MeSyMS): Development and validation of a new assessment

BACKGROUND

Patients with Multiple Sclerosis (MS) have an increased risk of suffering from mental and neuropsychiatric symptoms. So far, a fundamental problem in the clinical care of MS patients is that these symptoms are underdiagnosed and, as a consequence, often remain untreated. Present assessment tools have not been developed to be applied in patients with MS. This study aims to develop and validate a new questionnaire to identify disease-related mental symptoms in MS patients.

METHODS

A questionnaire has been developed by including the following subscales: social and emotional health problems, anxiety, and depression. To evaluate test quality and internal consistency, an item analysis has been conducted. After matching MS patients and control subjects on age and gender, we conducted group comparisons, a Receiver Operating Characteristic (ROC) Curve analysis and a binary logistic regression model.

RESULTS

In total, 314 MS patients and 100 matched control subjects were analysed. After performed item analysis, the questionnaire revealed an excellent internal consistency (α=0.94). Compared to control subjects, MS patients showed significant mental health problems in all three dimensions. In comparison to the subscales, the dimension of social and emotional health problems revealed the highest accuracy (AUC = 0.75; d = 0.948) and turned out to be the only scale that reliably differentiated between the groups.

CONCLUSIONS

MeSyMS constitutes a valid screening instrument to detect mental symptoms in MS. Social and emotional health problems turned out to be the most important aspect when identifying disease-related mental health symptoms in MS.

The clinical correlates of participation levels in people with multiple sclerosis

BACKGROUND

Multiple sclerosis (MS) has a huge impact on patients and affects their ability to participate in meaningful activities.

OBJECTIVE

To identify motor and non-motor factors that are associated with the participation level in instrumental activities of daily living (IADL), leisure, social and religious activities in people with MS.

METHOD

This is a cross-sectional study conducted on 110 individuals with MS. The used outcome measures are: Arabic version of the Activity Card Sort, Berg Balance Scale, Modified Fatigue Impact Scale, Nine Hole Peg Test, 6-Minute Walk Test, Brief International Cognitive Assessment for Multiple Sclerosis, Stroop test and Hospital Anxiety and Depression Scale.

RESULTS

Hand function, balance, gender and cognitive status can predict the participation in IADL (R2 = 0.425, P < 0.0001); depression, age, and cognitive status can predict the participation in leisure activities (R2 = 0.372, P < 0.0001), and fatigue, balance and cognitive status can predict social activities participation (R2 = 0.492, P < 0.000).

CONCLUSION

Balance, cognition and fatigue affect the level of participation in instrumental activities of daily living, leisure, and religious and social activities.

Depressive Symptoms and Suicidal Ideation in Progressive Multiple Sclerosis Compared With Relapsing-Remitting Multiple Sclerosis: Results From a Cross-sectional Survey

OBJECTIVES

To (1) describe depressive symptom severity and suicidal ideation (SI) in persons with progressive multiple sclerosis (MS); (2) compare depressive symptom severity and SI in persons with progressive MS and persons with relapsing-remitting multiple sclerosis (RRMS); and (3) identify common and unique risk factors for greater depressive symptom severity and SI in persons with progressive MS compared with individuals with RRMS.

DESIGN

Observational, cross-sectional survey study.

SETTING

Community.

PARTICIPANTS

Adults with MS (N=573).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

The dependent variables were depression symptoms and any SI measured by the Patient Health Questionnaire-9. Comparisons between groups used t tests and chi-square analyses, and risk factors were tested by examining the interaction of MS subtype (progressive MS and RRMS) and each risk factor in multiple regression models with bootstrapping.

RESULTS

Persons with progressive MS did not differ from persons with RRMS in levels of depressive symptoms or SI. Both groups reported mild depressive symptoms and approximately 10% endorsed SI. Common risk factors for greater depressive symptom severity were younger age, greater disability, greater speech and swallowing problems, and lower household income. Common risk factors for SI were shorter disease duration, greater disability, and greater speech and swallowing problems.

CONCLUSIONS

In this sample, there were no group differences between persons with progressive MS and persons with RRMS in depressive symptom severity and SI. Although both groups reported mild depressive symptoms on average, nearly 1 in 4 persons met criteria for probable major depression, which underscores the importance of screening for and treating depressive disorders in all persons with MS.

Anxiety and depression affect performance on the symbol digit modalities test over time in MS and other immune disorders

Background:

Longitudinal studies assessing depression and anxiety effects on cognition in multiple sclerosis (MS) are limited.

Objective:

We tested whether within-person fluctuations in symptoms of depression or anxiety over time affect cognition in persons with MS, inflammatory bowel disease (IBD), rheumatoid arthritis (RA), and a lifetime history of depression/anxiety disorders (DEP/ANX) but without an immune-mediated inflammatory diseases (IMID).

Methods:

We followed participants (MS: 255, IBD: 247, RA: 154, and DEP/ANX: 306) for 3 years. Annually, they completed the hospital anxiety and depression scale (HADS) and cognitive tests including the symbol digit modalities test (SDMT). We evaluated associations of elevated symptoms (scores ⩾ 11) of anxiety (HADS-A) and depression (HADS-D) with SDMT z-scores using multivariable linear models—estimating between-person and within-person effects.

Results:

Participants with MS performed worse on the SDMT than participants in the DEP/ANX cohort (β = −0.68; 95% CI: −0.88, −0.48). Participants with elevated HADS-A scores performed worse on the SDMT than those without elevated scores (β = −0.43; 95% CI: −0.65, −0.21), particularly those with RA. Time-varying within-person elevations in depressive symptoms were associated with worse SDMT performance (β = −0.12; 95% CI: −0.21, −0.021).

Conclusions:

Across persons, elevated symptoms of anxiety adversely affected information processing. Elevated symptoms of depression within-persons over time were associated with declines in information processing speed.

A neuropsychologically-based intervention with increased follow-up support for employed women with multiple sclerosis: a pilot randomized controlled trial

OBJECTIVE

To evaluate feasibility and acceptability of a neuropsychologically-based vocational intervention with increased follow-up support for women with multiple sclerosis.

DESIGN

Single-blinded parallel-group randomized controlled trial with 12-month follow-up.

SETTING

Tertiary-care multiple sclerosis center.

PARTICIPANTS

Forty-nine employed women with multiple sclerosis meeting criteria on measures of cognitive dysfunction (Symbol Digit Modalities Test), fatigue (Fatigue Severity Scale), and/or depression (Beck Depression Inventory/Patient Health Questionnaire).

INTERVENTIONS

Participants received either neuropsychological testing and phone feedback regarding findings and tailored recommendations (standard-care treatment), or testing, in-person feedback, and two calls from a care-coordinator (experimental treatment).

MEASURES

Feasibility measures included enrollment and attrition rates, and compliance to recommendations at 12-months between groups. Acceptability was evaluated by participants' report of benefit from interventions. Secondary analyses included evaluation of symptom changes (cognition, fatigue, depression) from baseline to 12-months.

RESULTS

Of 49 women meeting screening measure thresholds, 44 were randomized to treatment groups (attrition: standard-care = 8, experimental = 6), and 30 completed the study (standard-care = 14, experimental = 16). Recommendation adherence rates did not significantly differ between standard-care and experimental groups (31% vs 49%). However, 16/16 experimental participants at least partially completed given recommendations as compared to 8/14 in the standard-care group. Participants across groups (97%) reported benefit from participation. No significant differences in symptom outcomes between groups at 12-months.

CONCLUSION

In-person feedback and care-coordinator calls were feasible and acceptable additions to a neuropsychological intervention and may serve to increase recommendation adherence. Given high drop-out rate, particularly prior to testing, future research may explore avenues to improve completion rates and maximize benefits of such interventions.

Evaluation of emotional disorders before and during treatment with interferon beta in patients with multiple sclerosis

BACKGROUND

Domains encompassing emotional disorders in relapsing-remitting MS (RRMS) patients are still unclear.

METHODS

We performed a 24-month, multicenter, single-arm, prospective study. RRMS patients started IFN-β treatment at baseline. The primary endpoint was lack of emotional control, measured using the "Echelle d'HumeurDépressive" (EHD) scale three times at baseline and at 10 post-treatment visits. Secondary endpoints were emotional blunting, irritability, fatigue, depression and anxiety. A linear mixed covariance model assessed change from baseline on an intention-to-treat basis, under the assumption of no mood disorder effect (one-sided 97.5% level), in which autoregressive type of autocorrelation was tested.

RESULTS

Out of 79 recruited patients, 70 were analyzed: 80% female; mean (SD) age, 37.0 (11.5) years. Mean (SD) lack of emotional control score at baseline and Month 24 was 12.7 (4.4) and 12.6 (5.5), respectively, versus 10.1 (3.2) in a healthy control population matched for age and sex. Stepwise analysis identified younger age, male sex and antidepressant use as significant predictors of higher lack of emotional control values.

CONCLUSIONS

Based on 24 months of prospective follow-up, the results of this study highlights a broad spectrum of emotional disorders in the MS population at the time of disease modifying drugs initiation but no major IFN-β-related emotional disorders (mood dyscontrol, anxiety, depression) were observed. However, sporadic occurrences of severe mood disorders and suicidality cannot be excluded.

Pediatric medical psychology

Paediatric medical psychology is a specialised field within clinical health psychology focussed on the behavioural, developmental, and psychological needs of children, adolescents, and families in healthcare contexts. Paediatric medical psychologists address a myriad of problems by employing evidence-based evaluations and interventions in order to support the well-being of paediatric patients and their families. In this paper, we provide an overview of paediatric medical psychology including the education and training required to be a paediatric psychologist followed by common problems addressed by paediatric psychology, the settings paediatric psychologists work in, and the services they provide. Discussion concludes with future application of integrating paediatric psychology throughout the continuum of care to optimise adjustment and health of paediatric patients.

Depression Comorbid With Stroke, Traumatic Brain Injury, Parkinson's Disease, and Multiple Sclerosis: Diagnosis and Treatment

Depression is common among patients with neurologic disorders, and it has long been considered more difficult to treat than depression in the general population. In this review, the authors consider challenges in the diagnosis and treatment of depression among patients with stroke, traumatic brain injury, Parkinson's disease, and multiple sclerosis. For each disorder, the authors discuss the epidemiology and time course of depression as well as review the physiologic and psychological etiologies of depression. In addition, for each disorder, they review screening tools and diagnostic considerations, including differential diagnosis; discuss etiological factors, both neurobiological and psychological; and assess evidence for various depression treatments, including pharmacologic, psychosocial, and neuromodulatory therapies. The evidence suggests that depression is common among patients with neurologic disorders and that it is crucial for general psychiatrists to provide treatment for this population.

Validity of the Patient Health Questionnaire-9 in neurologic populations

Background

Because of symptom overlap, there is uncertainty about the validity of depression rating scales in neurologic populations. The objectives of this study were to evaluate the validity of the Patient Health Questionnaire-9 (PHQ-9) for detecting Diagnostic and Statistical Manual-defined major depressive episodes in people with neurologic conditions.

Methods

Participants were recruited from outpatient clinics for multiple sclerosis, epilepsy, migraine, Parkinson disease, and stroke for this cross-sectional study. Participants were administered a questionnaire (this included the PHQ-9), chart review, and a follow-up telephone interview. The Structured Clinical Interview for Depression was used as the reference standard for psychiatric diagnoses. The performance of PHQ-9 was analyzed using sensitivity, specificity, diagnostic odds ratios (DORs), and receiver operator curve analysis.

Results

All neurologic subpopulations had a specificity greater than 78% and sensitivity greater than 79% at a cut-point of 10. Using a random-effects model, the I-squared value was 13.7%, and Tau² was 0.05, showing homogeneity across the neurologic subpopulations. The pooled DOR was 25.3 (95% confidence interval [CI] 14.9-42.8). Meta-analytic analysis found that for sensitivity, the pooled estimate was 90% (95% CI 81-97), and for specificity, it was 85% (95% CI 79-90).

Conclusions

Despite theoretical concerns about its validity, the PHQ-9 performed well at its standard cut-point of 10. Consistent with the literature, being able to use a validated, brief tool that is available publicly should improve case finding of depression in neurologic populations. When considering clinical practicality along with the findings of this analyzed, this study confirmed that the PHQ-9 is valid in a general outpatient neurologic population.

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

OBJECTIVES

Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence.

STUDY DESIGN AND SETTING

Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status.

RESULTS

A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%).

CONCLUSION

PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.

Research-to-Practice Gaps in Multiple Sclerosis Care for Patients with Subjective Cognitive, Mental Health, and Psychosocial Concerns in a Canadian Center

Background

People with multiple sclerosis (MS) are at increased risk for cognitive impairment, mental health concerns, and psychosocial issues, which can negatively affect disease outcomes and quality of life. Current MS care guidelines recommend integrated interdisciplinary services to address these concerns; however, issues can be overlooked during routine care. To date, there is inadequate research on how often these issues are identified and addressed during routine MS care.

Methods

One hundred medical records were randomly selected and reviewed (55 relapsing-remitting MS, 17 secondary progressive MS, 8 primary progressive MS, and 20 other or subtype not indicated). All visits to, and contacts with (ie, telephone, e-mail), an MS clinic over 1 year were included in the analysis to determine the proportion of patients presenting with cognitive, mental health, and psychosocial concerns and the proportion of patients offered associated services.

Results

Of the 25 patients with at least one identified concern, treatment recommendations occurred for 13 (52%). Rates of identification of cognitive, mental health, and psychosocial concerns in standard clinical practice were significantly lower than the identified prevalence in epidemiologic studies. Demographic factors had no bearing on who was offered treatment. Patients with concerns access MS clinic services more often than those without.

Conclusions

Discrepancies between reported and expected frequencies may be due to overreliance on patient self-disclosure and concerns by the health care team that inadequate resources are available to address issues. An interdisciplinary team model may help address these issues.

Management of Multiple Sclerosis Symptoms and Comorbidities

PURPOSE OF REVIEW

This article discusses the prevalence, identification, and management of multiple sclerosis (MS)-related symptoms and associated comorbidities, including complications that can present at all stages of the disease course.

RECENT FINDINGS

The impact of comorbidities on the outcome of MS is increasingly recognized. This presents an opportunity to impact the course and outcome of MS by identifying and treating associated comorbidities that may be more amenable to treatment than the underlying inflammatory and neurodegenerative disease. The identification of MS-related symptoms and comorbidities is facilitated by brief screening tools, ideally completed by the patient and automatically entered into the patient record, with therapeutic suggestions for the provider. The development of free, open-source screening tools that can be integrated with electronic health records provides opportunities to identify and treat MS-related symptoms and comorbidities at an early stage.

SUMMARY

Identification and management of MS-related symptoms and comorbidities can lead to improved outcomes, improved quality of life, and reduced disease activity. The use of brief patient-reported screening tools at or before the point of care can facilitate identification of symptoms and comorbidities that may be amenable to intervention.

Disability worsening among persons with multiple sclerosis and depression: A Swedish cohort study

OBJECTIVE

Depression is common in multiple sclerosis (MS), but its impact on disability worsening has not yet been determined. We explored the risk of disability worsening associated with depression in a nationwide longitudinal cohort.

METHODS

This retrospective cohort study used linked data from 3 Swedish nationwide registries: the MS Register, National Patient Register, and Prescribed Drug Register. Two incident cohorts were developed: cohort 1 included all registered cases of MS in the MS Registry (2001-2014) with depression defined as ≥1 ICD-10 code for depression; and cohort 2 comprised all cases of MS in the MS Registry (2005-2014) with depression defined as ≥1 prescription filled for an antidepressant. Cox regression models were used to compare the risk of reaching sustained disability milestone scores of 3.0, 4.0, and 6.0 on the Expanded Disability Status Scale (EDSS) between persons with MS with and without depression.

RESULTS

Cohort 1 included 5,875 cases; 502 (8.5%) had depression. Cohort 2 had 3,817 cases; 1,289 (33.8%) were prescribed an antidepressant. Persons with depression were at a significantly higher risk of reaching sustained EDSS scores of 3.0, 4.0, and 6.0, with hazard ratios of 1.50 (95% confidence interval [CI] 1.20-1.87), 1.79 (95% CI 1.40-2.29), and 1.89 (95% CI 1.38-2.57), respectively. A similar increased risk among persons exposed to antidepressants was observed, with hazard ratios of 1.37 (95% CI 1.18-1.60), 1.93 (95% CI 1.61-2.31), and 1.86 (95% CI 1.45-2.40) for sustained EDSS scores of 3.0, 4.0, and 6.0, respectively.

CONCLUSION

Persons with MS and comorbid depression had a significantly increased risk of disability worsening. This finding highlights the need for early recognition and appropriate treatment of depression in persons with MS.

Validation and calibration of the patient health questionnaire (PHQ-9) in Argentina

BACKGROUND

The Patient Health Questionnaire-9 (PHQ-9) is a brief tool to assess the presence and severity of depressive symptoms. This study aimed to validate and calibrate the PHQ-9 to determine appropriate cut-off points for different degrees of severity of depression in Argentina.

METHODS

We conducted a cross-sectional study on an intentional sample of adult ambulatory care patients with different degrees of severity of depression. All patients who completed the PHQ-9 were further interviewed by a trained clinician with the Mini International Neuropsychiatric Interview (MINI) and the Beck Depression Inventory-II (BDI-II). Reliability and validity tests, including receiver operating curve analysis, were performed.

RESULTS

One hundred sixty-nine patients were recruited with a mean age of 47.4 years (SD = 14.8), of whom 102 were females (60.4%). The local PHQ-9 had high internal consistency (Cronbach's alpha = 0.87) and satisfactory convergent validity with the BDI-II scale [Pearson's correlation = 0.88 (p < 0.01)]. For the diagnosis of Major Depressive Episode (MDE) according to the MINI, a PHQ-9 ≥ 8 was the optimal cut-off point found (sensitivity 88.2%, specificity 86.6%, PPV 90.91%). The local version of PHQ-9 showed good ability to discriminate among depression severity categories according to the BDI-II scale. The best cut off points were 6-8 for mild cases, 9-14 for moderate and 15 or more for severe depressive symptoms respectively.

CONCLUSIONS

The Argentine version of the PHQ-9 questionnaire has shown acceptable validity and reliability for both screening and severity assessment of depressive symptoms.

The relationship between physical activity and symptoms of fatigue, mood, and perceived cognitive impairment in adults with multiple sclerosis

Introduction: Multiple Sclerosis (MS) is achronic neurological condition that requires costly treatment for aconstellation of motor and sensory symptoms, as well as fatigue, depression, and cognitive problems. Given that this pharmacological treatment often results in side effects, there is acrucial need for low-costbehavioral treatments that are effective in further reducing MS symptoms. It has been hypothesized that physical activity may slow the neurodegenerative progression of MS. The aim of the current study was to investigate the relationship between physical activity and commonly reported MS symptoms, including fatigue, depression, and perceived cognitive impairment. Method: 86 individuals with MS responded to amail-outquestionnaire. Physical activity, fatigue, mood, and perceived cognitive impairment were assessed using the following measures: Godin Leisure-TimeExercise Questionnaire (GLTEQ), Modified Fatigue Impact Scale (MFIS), Patient Health Questionnaire (PHQ-9), and Patient Deficit Questionnaire (PDQ). Descriptive and correlational statistics were calculated to investigate the relationship between scores on the GLTEQ and scores on the MFIS, PHQ-9, and PDQ. Results: Overall, there was asignificant negative relationship between physical activity (GLTEQ) and fatigue (MFIS; r= -.34, p= .002) and depression (PHQ-9; r= -.23, p= .034) in individuals with MS. There was not asignificant relationship between physical activity and overall perceived cognitive dysfunction (PDQ; r= -.19, p= .08), but when the PDQ subscales were examined, there was asignificant relationship with perceived retrospective (r = 0.24, p= .03) and prospective memory abilities (r = -.22, p= .04). When the RRMS and progressive subtypes were examined separately, we observed asimilar pattern of results for the RRMS group, but the progressive MS group did not reach significance. Conclusions: Individuals with MS who reported more strenuous and/or frequent physical activity, reported fewer problems with fatigue, depression, and perceived memory abilities.

Psychometric properties of the PHQ-9 depression scale in people with multiple sclerosis: A systematic review

Background

Depression affects approximately 25% of people with MS (pwMS) at any given time. It is however under recognised in clinical practice, in part due to a lack of uptake for brief assessment tools and uncertainty about their psychometric properties. The 9-item Patient Health Questionnaire (PHQ-9) is an attractive candidate for this role.

Objective

To synthesise published findings on the psychometric properties of the 9-item Patient Health Questionnaire (PHQ-9) when applied to people with multiple sclerosis (pwMS).

Data sources

PubMed, Medline and ISI Web of Science databases, supplemented by hand-searching of references from all eligible sources.

Study eligibility criteria

Primary literature written in English and published following peer-review with a primary aim to evaluate the performance of the PHQ-9 in pwMS.

Outcome measures

Psychometric performance with respect to appropriateness, reliability, validity, responsiveness, precision, interpretability, acceptability, and feasibility.

Results

Seven relevant studies were identified, these were of high quality and included 5080 participants from all MS disease-course groups. Strong evidence was found supporting the validity of the PHQ-9 as a unidimensional measure of depression. Used as a screening tool for major depressive disorder (MDD) with a cut-point of 11, sensitivity was 95% sensitivity and specificity 88.3% (PPV 51.4%, NPV 48.6%). Alternative scoring systems that may address the issue of overlap between somatic features of depression and features of MS per se are being developed, although their utility remains unclear. However data on reliability was limited, and no specific evidence was available on test-retest reliability, responsiveness, acceptability, or feasibility.

Conclusions

The PHQ-9 represents a suitable tool to screen for MDD in pwMS. However use as a diagnostic tool cannot currently be recommended, and the potential value for monitoring depressive symptoms cannot be established without further evidence on test-retest reliability, responsiveness, acceptability, and feasibility.

Registration

PROSPERO register ID:CRD42017067814.

Comorbid anxiety, depression, and cognition in MS and other immune-mediated disorders

OBJECTIVE

To determine whether anxiety and depression are associated with cognition in multiple sclerosis (MS), and whether these associations are similar in other immune-mediated inflammatory diseases (IMID; including inflammatory bowel disease [IBD] and rheumatoid arthritis [RA]) and in anxious/depressed individuals (ANX/DEP) without an IMID.

METHODS

Participants (MS: n = 255; IBD: n = 247; RA: n = 154; ANX/DEP: n = 308) completed a structured psychiatric interview, the Hospital Anxiety and Depression Scale, and cognitive testing, including the Symbol Digit Modalities Test, the California Verbal Learning Test, and Letter Number Sequencing test. Test scores were converted to age-, sex-, and education-adjusted z scores. We evaluated associations of anxiety and depression with the cognitive z scores using multivariate linear models, adjusting for disease cohort.

RESULTS

All cohorts exhibited higher rates of impairment (i.e., z less than or equal to -1.5) in the domains of processing speed, verbal learning, and delayed recall memory relative to general population norms. Higher levels of anxiety symptoms were associated with slower processing speed, lower verbal learning, and lower working memory performance (all p < 0.001); higher levels of depression symptoms were associated with slower processing speed. These associations did not differ across cohorts.

CONCLUSION

Anxiety and depression are associated with lower cognitive function in MS, with a similar pattern observed in persons with other IMID, including IBD and RA, and persons without an IMID. Managing symptoms of anxiety and of depression in MS, as well as other IMIDs, is important to mitigate their effect on cognition.

Health Outcomes and Lifestyle in a Sample of People With Multiple Sclerosis (HOLISM): Longitudinal and Validation Cohorts

Objective: To report the methodology and summary data of the Health Outcomes and Lifestyle In a Sample of people with Multiple sclerosis (HOLISM) longitudinal and validation cohorts. We report (1) data on participation, socio-demographics, disease characteristics, medication use, modifiable lifestyle risk factor exposures, and health outcomes of the HOLISM longitudinal cohort 2.5-years post enrolment; (2) attrition at this 2.5-year wave; and (3) baseline characteristics of the associated HOLISM validation cohort. Methods: The HOLISM longitudinal study recruited people internationally with self-reported diagnosed multiple sclerosis (MS) through web 2.0 platforms and MS society newsletters. Participants, first recruited in 2012, were invited 2.5-years later to participate in a follow-up survey. At both time points, participants completed a comprehensive online questionnaire of socio-demographics, modifiable lifestyle exposures, and health outcomes using validated and researcher-designed tools. The same methodology was used to recruit a new sample: the HOLISM validation cohort. Characteristics were explored using summary measures. Results: Of 2,466 people with MS at baseline, 1,401 (56.8%) provided data at 2.5-year follow-up. Attrition was high, likely due to limited amount of contact information collected at baseline. Completion of the 2.5-year wave was associated with healthier lifestyle, and better health outcomes. Participants completing follow-up had diverse geographical location, were predominantly female, married, unemployed or retired. At 2.5-year follow-up, nearly 40% were overweight or obese, most were physically active, non-smokers, consumed little alcohol, used vitamin D/omega-3 supplements, and 42% reported current disease-modifying drug use. Thirty percentage of reported cane or gait disability, while 13% relied on major mobility supports (Patient Determined Disease Steps). Approximately half the respondents reported a comorbidity, 63% screened positive for clinically significant fatigue (Fatigue Severity Scale), and 22% screened positive for depression (Patient Health Questionnaire-9). The validation cohort's characteristics were mostly consistent with previously reported HOLISM baseline data. Conclusions: Exploring prospective associations of modifiable environmental/behavioral risk factors with health outcomes in this international longitudinal sample of people with MS will be beneficial to MS research. Impacts of attrition and selection bias will require consideration. The validation cohort provides opportunity for replication of previous findings, and also for temporal validation of predictive models derived from the HOLISM cohort.

Diabetes and anxiety adversely affect cognition in multiple sclerosis

OBJECTIVE

To determine whether comorbid diabetes and hypertension are associated with cognition in multiple sclerosis (MS) after accounting for psychiatric comorbidities.

METHODS

Participants completed a structured psychiatric interview, the Hospital Anxiety and Depression Scale (HADS), a comorbidity questionnaire, and cognitive testing including the Symbol Digit Modalities Test (SDMT), California Verbal Learning Test (CVLT-II), Brief Visuospatial Memory Test-Revised (BVMT-R), and verbal fluency. Test scores were converted to age-, sex- and education-adjusted z-scores. We evaluated associations between diabetes and hypertension and the four cognitive z-scores using a multivariate linear model, adjusting for comorbid depression and anxiety disorders, psychotropic medications, disease-modifying therapies, smoking status and body mass index.

RESULTS

Of 111 participants, most were women (82.9%) with relapsing remitting MS (83.5%), of mean (SD) age 49.6 (12.7) years. Comorbidity was common; 22.7% participants had hypertension, 10.8% had diabetes, 9.9% had current major depression, and 9.9% had current anxiety disorders. Mean (SD) z-scores were: SDMT -0.66 (1.15), CVLT-II -0.43 (1.32), BVMT-R -0.49 (1.07) and fluency -0.59 (0.86). Diabetes (p = 0.02) and anxiety disorder (p = 0.02) were associated with cognitive function overall. Diabetes was associated with lower BVMT-R (β = -1.18, p = 0.0015) and fluency (β = -0.63, p = 0.037) z-scores. Anxiety was associated with lower SDMT (β = -1.07, p = 0.0074) z-scores. Elevated anxiety symptoms (HADS-A ≥ 11) were associated with lower z-scores on the SDMT and CVLT-II.

CONCLUSION

Comorbidities, including diabetes and anxiety, are associated with cognitive dysfunction in MS. Their presence may contribute to the heterogeneous pattern of impairments seen across individuals and they may represent targets for improved management of cognitive symptoms.

The prevalence of anxiety and associated factors in persons with multiple sclerosis

BACKGROUND

The prevalence of anxiety and its association with sociodemographic and clinical factors is not well characterized in those with multiple sclerosis (MS). We aimed to estimate the prevalence and examine associated factors of anxiety in persons with MS.

METHODS

A cross-sectional analysis was conducted utilizing data from 244 participants from the Neurological Disease and Depression study. Anxiety was assessed using the Hospital Anxiety and Depression Scale (HADS). Descriptive statistics and multiple logistic regression was used to examine anxiety and associated factors.

RESULTS

Nearly 30.0% of participants had anxiety according to the HADS. The most prevalent symptom of anxiety was "worrying thoughts" (26.6%). After adjustment for various confounders, depression (OR: 7.31 95% CI 3.29-16.26) was found to be associated with higher odds of anxiety, while lower odds of anxiety were associated with higher education (OR: 0.51, 95% CI 0.28-0.94). Furthermore, anxiety was strongly associated with decreased quality of life.

CONCLUSION

Anxiety represents a substantial burden for those with MS and is associated with a variety of adverse outcomes including decreased quality of life. Our results further emphasize the importance of understanding the impact of anxiety in this population.

Effects of depression and anxiety on quality of life in five common neurological disorders

BACKGROUND

It is unclear whether anxiety and depression impact health-related quality of life (HRQoL) equally across neurological diseases. This study examines the association between anxiety or depression and HRQoL in select neurological disorders.

METHODS

HRQoL was measured using the Short Form Health Survey (SF-12) in neurological patients: epilepsy (n = 279), migraine (n = 268), multiple sclerosis (MS) (n = 222), stroke (n = 204), and Parkinson's disease (PD) (n = 224). Depression and anxiety symptoms were assessed using the Patient Health Questionnaire (PHQ-9) and Hospital Anxiety and Depression Scale (HADS-A), respectively. Multiple linear regression was used to evaluate variables associated with the SF-12 mental health component (MCS) and physical health component scores (PCS). Pratt index was used to estimate the relative importance of anxiety and depression on HRQoL.

RESULTS

Anxiety and depression had the largest contribution to PCS in stroke and to MCS in epilepsy. Overall, anxiety and depression had a larger contribution to MCS as compared to PCS, except in stroke patients. Different patterns were seen across neurological diseases, with mental health variables strongly affecting MCS in all conditions, with also a sizable contribution to PCS in migraine, MS, and stroke.

CONCLUSIONS

Anxiety and depression have varying impacts on HRQoL across neurological diseases. It is important for clinicians to be aware of how these patterns differ in each condition.

The Patient Health Questionnaire depression screener in spinal cord injury

CONTEXT

Although depression is not inevitable following spinal cord injury/dysfunction (SCI/D), it can have a negative impact on rehabilitation. Evidence-based assessment of depression utilizing self-report instruments, such as the Patient Health Questionnaire-9 (PHQ-9), is considered good clinical practice. Although the PHQ-9 has been studied in individuals with SCI/D, little is known about the clinical utility of the Patient Health Questionnaire-2 (PHQ-2). Traditional cutoff scores for the PHQ-2 were examined to explore their operating characteristics as related to PHQ-9 results.

METHODS

Archival data were collected for 116 Veterans with SCI/D who completed the PHQ-2 and PHQ-9 as one component of their routine, comprehensive SCI annual evaluation at a Veterans Affairs Medical Center. Logistic regressions were performed to determine the impact of different cutoff scores for the PHQ-2 on the likelihood that participants would endorse clinically significant levels of depressive symptoms on the PHQ-9 (≥10).

RESULTS

Using a cutoff score of 3 or greater correctly classified 94.8% of the cases, outperforming the other cutoff scores. A cutoff score of 3 or greater had a sensitivity of 83.3% and specificity of 97.8%, and yielded a positive predictive value of 90.9% and a negative predictive value of 95.7%.

CONCLUSION

The PHQ-2 shows promise as a clinically useful screener in the community-residing SCI/D population. Findings regarding the presence of suicidal ideation emphasize the importance of routine screening for depressive symptomatology in the SCI/D population. Future research should investigate the role of the PHQ-2 in clinical decision-making and treatment monitoring.

Depression in Multiple Sclerosis: Epidemiology, Aetiology, Diagnosis and Treatment

Depressive disorders are common in patients with multiple sclerosis, influencing their quality of life and adherence to treatments, as well as becoming more frequent with the progression of the disease and in the secondary progressive form of multiple sclerosis. Patients with multiple sclerosis often experience a typical cluster of symptoms in association with depression, such as fatigue, pain and cognitive impairment. However, the pathogenesis of multiple sclerosis-related depression remains partially unclear, even though genetic, immune-inflammatory and psychosocial factors might be seen to play a role, in addition to the brain structural alterations documented by magnetic resonance imaging studies. The high incidence and burden of depression in people affected with multiple sclerosis are matters of crucial importance. Despite such importance, the efficacy of pharmacologic treatments has been poorly studied and, for the most part, the access to non-pharmacological treatments is partially dependent on the local health system availability. It has been determined that interferon-beta and glatiramer acetate do not cause depressive symptoms; however, no definitive data in this regard are avaible for the newer disease-modifyng medications. In this review, we discuss the diagnosis, prevalence, pathogenesis, clinical aspects, magnetic resonance imaging findings and treatments available in patients experiencing multiple sclerosis-related depression.

Comparison of Two Versions of the Hospital Anxiety and Depression Scale in Assessing Depression in a Neurologic Setting

BACKGROUND

The Hospital Anxiety and Depression Scale-Depression Subscale (HADS-D) is widely used to assess depression in people with multiple sclerosis (MS). Developed specifically for use in a medical setting, the scale has one item, "I feel as if I am slowed down," that might represent a significant somatic confounder, possibly biasing the assessment.

OBJECTIVE

We sought to determine whether inclusion or exclusion of the "slowed down" item in the HADS-D affects the detection of depression and the scale's associations with impaired cognition, fatigue, and employment status.

METHODS

A sample of 193 people with confirmed MS completed the HADS. To identify depressed participants, we used previously established cutoff scores for the HADS-D with (≥8) and without (≥6) the "slowed down" item. Linear and logistic regression models were used to determine predictors of cognition and employment status.

RESULTS

The HADS-D with and without the "slowed down" item detected similar rates of depression: 30.6% and 31.6%, respectively. Both versions of the HADS-D predicted processing speed and executive functioning, but not memory. Neither version predicted employment status.

CONCLUSIONS

The HADS-D is an easy-to-use and clinically relevant self-report psychometric scale for detecting depression in MS. Removing the "slowed down" item from the HADS-D does not influence its internal consistency, and both versions have similar associations with clinical outcomes.

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.

Assessing mood symptoms through heartbeat dynamics: An HRV study on cardiosurgical patients

BACKGROUND

Heart Rate Variability (HRV) is reduced both in depression and in coronary heart disease (CHD) suggesting common pathophysiological mechanisms for the two disorders. Within CHD, cardiac surgery patients (CSP) with postoperative depression are at greater risk of adverse cardiac events. Therefore, CSP would especially benefit from depression early diagnosis. Here we tested whether HRV-multi-feature analysis discriminates CSP with or without depression and provides an effective estimation of symptoms severity.

METHODS

Thirty-one patients admitted to cardiac rehabilitation after first-time cardiac surgery were recruited. Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression Scale (CES-D). HRV features in time, frequency, and nonlinear domains were extracted from 5-min-ECG recordings at rest and used as predictors of "least absolute shrinkage and selection" (LASSO) operator regression model to estimate patients' CES-D score and to predict depressive state.

RESULTS

The model significantly predicted the CES-D score in all subjects (the total explained variance of CES-D score was 89.93%). Also it discriminated depressed and non-depressed CSP with 86.75% accuracy. Seven of the ten most informative metrics belonged to non-linear-domain.

LIMITATIONS

A higher number of patients evaluated also with a structured clinical interview would help to generalize the present findings.

DISCUSSION

To our knowledge this is the first study using a multi-feature approach to evaluate depression in CSP. The high informative power of HRV-nonlinear metrics suggests their possible pathophysiological role both in depression and in CHD. The high-accuracy of the algorithm at single-subject level opens to its translational use as screening tool in clinical practice.

Evaluation of the Patient Health Questionnaire-2 as a Screening Tool for Depression during the Acute Stroke Admission

BACKGROUND

The ideal time to screen for poststroke depression remains uncertain. We evaluated the 2-item Patient Health Questionnaire (PHQ-2) as a screening tool for depression during the acute stroke admission by determining the prevalence of positive depression screen during admission and by calculating the level of agreement between positive screens during admission and follow-up.

METHODS

This was a retrospective cohort of adult stroke survivors discharged January to December 2013 with principal discharge diagnosis of acute ischemic stroke or intracerebral hemorrhage. Depression screening was systematically performed during the hospital admission using the PHQ-2. The 9-item Patient Health Questionnaire (PHQ-9), which includes the PHQ-2, was completed by patients at outpatient follow-up.

RESULTS

The study cohort consisted of 337 patients with mean age of 66.3 years. Median time from admission to PHQ-2 was 3 days (interquartile range 1-4 days). The screen was positive for depression in 4.7% (95% confidence interval 2.7%-7.6%) of patients. Of the 150 patients with PHQ-9 data at outpatient follow up, 19.3% screened positive for depression. In both the inpatient setting and at outpatient follow-up, the prevalence of a positive depression screen was similar between patients with and without a history of depression or antidepressant use.

CONCLUSIONS

Systematic screening for depression using PHQ-2 during hospitalization for acute stroke identified few patients. Most patients with depressive symptoms were identified only at the time of outpatient follow-up. Further study is needed to evaluate the usefulness of other depression screens for stroke patients in the acute hospital setting and the optimal timing for depression screening after stroke.

Depression in multiple sclerosis

Depressive disorders occur in up to 50% of people living with multiple sclerosis (MS). Prevalence estimates are generally 2-3-times higher than those of the general population. Myriad aetiologic factors may contribute to the aetiology of depression in MS including biological mechanisms (e.g. hippocampal microglial activation, lesion burden, regional atrophy), as well as the stressors, threats, and losses that accompany living with an unpredictable and often disabling disease. Some prominent risk factors for depression such as (younger) age, (female) sex, and family history of depression are less consistently associated with depression in MS than they are in the general population. Management of depression in MS has not been well studied, but available data on detection and treatment align with general principles of depression management. While the validity of standard measurement scales has often been questioned, available evidence suggests that standard scales provide valid ratings. Evidence for the effectiveness of depression treatments in MS is limited, but available evidence supports the effectiveness of standard treatment approaches, including both cognitive behavioural therapies and antidepressant medications.

Determinants and incidence of depression in multiple sclerosis: A prospective cohort study

OBJECTIVE

To estimate the incidence and explore potential determinants of incidence of depression in MS.

METHODS

A prospective cohort study used a sample of 192 patients from the southern Alberta MS clinic registry. Participants completed baseline risk factor assessment questionnaires using either online, mail or telephone surveys, and completed the Patient Health Questionnaire every 2weeks for 6months to assess depressive symptoms in real time. Risk factors assessed included biopsychosocial variables such as socioeconomic status, illness-related factors, childhood risk factors, psychosocial factors, and health behaviors. Cox proportional hazard models were fit to estimate predictors of incidence.

RESULTS

2-week incidence of depression for females was 0.019 (95% CI 0.013-0.029) and for males was 0.044 (0.026-0.074). Strongest predictor of depression incidence risk included fatigue impact, low mobility, resiliency, self-esteem, self-efficacy, and coping style.

CONCLUSION

Depression in MS exhibits a risk factor profile similar to that of depression in the general population, with the additional impact of MS illness-related factors. Potentially modifiable risk factors, such as coping with stress and resiliency, present opportunities for focus of further research in depression in MS treatment and prevention efforts. Some differences in determinants of incidence were found compared to the prevalence risk factors, highlighting the danger of using cross-sectional data to make assumptions about risk. For example, the finding that depression incidence was higher for men is opposite to the higher depression prevalence estimates found for women as well as the consensus in the literature.

The Relationship between Psychosocial Factors and Cognition in Multiple Sclerosis

INTRODUCTION

Multiple sclerosis (MS) is a common disorder in some regions of the world, with over 2.3 million people diagnosed worldwide. Cognitive impairment is one of the earliest symptoms to present in the course of the disease and can cause significant morbidity. We proposed a study to explore the psychosocial predictors of cognitive impairment in MS patients in Saudi Arabia, a previously unexplored patient population.

METHODS

Demographic data, depression scale (PHQ9), symptom burden (PHQ15), anxiety (GAD7), disease duration, and Montreal Cognitive Assessment (MOCA) scores were collected from 195 patients in a neurology clinic in Ryiadh, Saudi Arabia. Univariate and multiple regression analyses were conducted to identify variables that are significantly associated with cognitive impairment.

RESULTS

Variables that were identified to be significantly associated with cognition, p < 0.05, were education level, disease duration, and family history.

DISCUSSION

Both education level and disease duration were variables identified in previous studies. We showed family history to be a significant variable, and no association was found with depression or anxiety, which is unique to our study population.

CONCLUSIONS

We identified several psychosocial predictors that are associated with cognition in our patient population. It was also noted that a difference exists between patient populations, highlighting the need for further studies in specific geographical regions.

Depression in epilepsy, migraine, and multiple sclerosis: Epidemiology and how to screen for it

Purpose of review

To provide an overview of the epidemiology of depression in chronic neurologic conditions that can affect individuals throughout the lifespan (epilepsy, migraine, multiple sclerosis [MS]) and examine depression screening tools for adults with these conditions.

Recent findings

Depression is common in neurologic conditions and can be associated with lower quality of life, higher health resource utilization, and poor adherence to treatment. It affects around 20%-30% of those with epilepsy, migraine, and MS, and evidence for a bidirectional association exists for each of these conditions. Depression screening tools generally perform well in neurologic conditions, but are not without limitations.

Summary

Depression is a major contributor to poor outcomes in epilepsy, migraine, and MS. Although psychiatric resources are scarce globally, this is no reason to ignore depression in neurologic conditions. Depression screening tools are available in neurology and should be considered in clinical practice.