Beyond depression: Predictors of self-reported cognitive function in adults living with MS

Predictive Model of Anxiety and Depression Perception in Multiple Sclerosis Patients: Possible Implications for Clinical Treatment

Multiple Sclerosis (MS) is a neurodegenerative disease characterized by motor and non-motor symptoms, including emotional distress, anxiety, and depression. These emotional symptoms currently have a pharmacological treatment with limited effectiveness; therefore, it is necessary to delve into their relationship with other psychological, functional, or prefrontal alterations. Additionally, exploring non-pharmacological therapeutic alternatives that have shown benefits in addressing emotional distress in MS patients is essential.

AIM

To establish a predictive model for the presence of anxiety and depression in MS patients, based on variables such as psychological well-being, functional activity, and prefrontal symptoms. Additionally, this study aimed to propose non-pharmacological therapeutic alternatives based on this model.

MATERIALS AND METHODS

A descriptive, observational, and cross-sectional study was conducted with a sample of 64 diagnosed MS patients who underwent functional and cognitive assessments using the following questionnaires and scales: Functional Activities Questionnaire (FAQ), Acceptance and Action Questionnaire (AAQ-II), Experiences Questionnaire (EQ), Self-Compassion Scale Short Form (SCS-SF), Beck Depression Inventory II (BDI-II), State-Trait Anxiety Inventory (STAI), and Prefrontal Symptoms Inventory (PSI).

RESULTS

The model showed an excellent fit to the data and indicated that psychological well-being was the most significant predictor of the criteria (β = -0.83), followed by functional activity (β = -0.18) and prefrontal symptoms (β = 0.15). The latter two are negatively related to psychological well-being (β = -0.16 and β = -0.75, respectively).

CONCLUSIONS

Low psychological well-being is the variable that most significantly predicts the presence of anxiety and depression in MS patients, followed by functional activity and prefrontal alterations. Interventions based on mindfulness and acceptance are recommended, along with nutritional interventions such as antioxidant-enriched ketogenic diets and moderate group physical exercise.

Self-assessed Dynamic Gait Index correlates with physical therapist assessed Dynamic Gait Index in people with multiple sclerosis

BACKGROUND

The Dynamic Gait Index (DGI) is a clinical measure of walking ability comprised of eight walking tasks. In people with multiple sclerosis (PwMS) the DGI has demonstrated validity, reliability, and ability to identify fallers. A self-assessed version of the DGI that demonstrates concurrent validity with the original DGI in people with MS would be valuable for remote assessment of walking ability. We therefore developed a questionnaire-based self-assessed version of the DGI (sDGI) that asks participants to self-rate their predicted ability to perform the eight DGI walking tasks. The purpose of this study was to determine the validity and internal consistency of the sDGI in people with MS who had self-reported gait impairment.

METHODS

We enrolled 53 ambulatory people with MS with self-reported gait impairment. Participants completed the sDGI, the Multiple Sclerosis Walking Scale-12 (MSWS-12), the Telephone Interview for Cognitive Status (TICS), and self-reported their number of falls in the past 3 months. Then, up to 4 weeks later, they completed the DGI by in-person evaluation by a physical therapist (PT). We calculated the internal consistency of the sDGI and concordance between the sDGI and DGI. To determine if cognition impacted concordance, we calculated concordance in the cognitively impaired and non-impaired groups and also tested the difference between groups. We also calculated correlation between the sDGI and the DGI and the MSWS-12. The ability of the sDGI and the DGI to identify fallers was evaluated using receiver operating characteristic curves.

RESULTS

51 participants completed the study. They had a mean age of 60.9 (SD 11.5) years, median PDDS of 4.0 (interquartile range 3, 5), 32 % used walking aids, 25 % were cognitively impaired, and 62 % were female. The sDGI was internally consistent (Cronbach's alpha 0.85, 95 % CI 0.76, 0.90) but was not concordant (CCC = 0.45, 95 % CI: 0.28-0.60) with the DGI. Concordance between the sDGI and DGI was not different for cognitively intact versus cognitively impaired individuals. The sDGI was moderately correlated with the DGI (R = 0.64, p < 0.01) and strongly correlated with the MSWS-12 (R = -0.71, p < 0.01). Neither the sDGI nor the DGI identified fallers in this sample.

CONCLUSION

The moderate to strong correlation among the sDGI, DGI and MSWS-12 supports the validity of the sDGI as a measure of walking ability in people with MS. However, because there is poor concordance between the sDGI and the DGI performed in clinic by a PT in both cognitively intact and cognitively impaired participants, the sDGI should not be used as a substitute for the DGI. The sDGI could be used as a screening tool because most participants underestimated their walking performance compared to assessment by a PT so the sDGI would be unlikely to miss poor walking ability. As neither the sDGI nor the DGI identified fallers in this sample, our results do not support using these tools to identify fallers in people with MS and self-reported gait impairment.

Investigating the association between subjective and objective performance-based cognitive function among former collegiate football players

OBJECTIVE

Studies have observed variable associations of prior contact sport participation with subjective and objective measures of cognitive function. This study directly investigated the association between subjective self-report and objective performance-based cognition among former collegiate football players, as well as its relationship to self-reported concussion history.

METHODS

Former collegiate football players (N = 57; mean age = 37.9 years [SD = 1.49]) retired from sport 15-years prior were enrolled. Linear regression models examined associations between subjective cognition (Quality of Life in Neurological Disorders Cognitive Functioning-Short Form), and performance on a neuropsychological battery. Domain specific (executive function) metrics of subjective (Behavior Rating Inventory of Executive Function-Adult) and objective cognition were also exclusively examined. Associations between self-reported concussion history with subjective and objective measures were tested. Potential influential factors (sleep quality and distress) were included as covariates.

RESULTS

Subjective cognition was not significantly associated with any objective measures of cognitive functioning (p's > .05). Greater self-reported concussion history was inversely associated with subjective cognition (B = -2.49, p = .004), but not objective performance-based cognition (p's > .05). Distress was significantly related to all metrics of subjective cognition (p's < .001) as well as performance on delayed recall and verbal fluency (p's < .05). Sleep quality was only significantly related to timed visuospatial sequencing (p = .033).

CONCLUSIONS

Reliance on self-reported measures of cognitive functioning alone is insufficient when assessing cognition in former contact sport athletes. Assessment of other factors known to influence subjective cognitive complaints should also be examined in determining the presence of cognitive deficits.

Predictors and Interrelationship of Patient-Reported Outcomes in Antiphospholipid Syndrome: A Cross-Sectional Study

OBJECTIVE

This study assessed patient-reported outcomes (PROs) in individuals with persistently positive antiphospholipid antibodies (aPL) to better understand how living with aPL may affect their quality of life.

METHODS

Patients completed Patient-Reported Outcomes Measurement Information System Physical Function (PF) and Cognitive Function (CF) Short Forms as well as the pain intensity (PI) rating (scale of 1-10). Patients were characterized for demographics, clinical manifestations of antiphospholipid syndrome (APS), cardiovascular risk factors, laboratory test results, and medication usage. Multivariate modeling was done via linear regression.

RESULTS

Of 139 patients, 89 had primary APS, 21 had secondary APS, and 29 had persistent aPL without meeting clinical criteria for APS. The average T scores (±SD) for PF and CF were 45.4 ± 9.2 and 48.6 ± 11.6, respectively; the average for PI was 3.0 ± 2.6. Approximately half of the patients (47%) endorsed at least mild impairment in PF (T score < 45). Mean PF, CF, and PI did not differ between diagnostic groups. Individuals who endorsed more impairment on one measure also tended to endorse more impairment on another (Pearson r = 0.43-0.59). In the multivariate models, age, smoking, pain medications, and serotonergic medications were associated with impairment in at least one PRO domain. The Damage Index for APS was significantly correlated with both PF and CF.

CONCLUSION

Individuals living with APS endorsed more impairment in PF (and potentially CF) than expected for the general population. The relationship between certain medications and PROs warrants further study, as does the longitudinal trajectory of these and other PROs.

Effects of Meranzin Hydrate On the LncRNA-miRNA-mRNA Regulatory Network in the Hippocampus of a Rat Model of Depression

Meranzin hydrate (MH) is a frequently used antidepressant drug in China; however it underlying mechanism remains unknown. In this study, we aimed to explore whether MH could ameliorate depression-like behavior in rats by regulating the competitive endogenous RNA (ceRNA) network. We developed a depression-like rat model using an unpredictable chronic mild stress (UCMS) protocol, and the differentially expressed lncRNAs, miRNAs, and mRNAs were identified between the model group and MH group. Then, a ceRNA network responding to MH treatment was constructed by their corresponding relationships in the databases. Finally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to explore molecular mechanisms associated with MH treatment. The study indicated that rats in the model group showed loss of weight and deteriorated behavior in behavior tests compared with rats in the normal group. A total of 826 lncRNAs, 121 miRNAs, and 954 mRNAs were differentially expressed in the hippocampus of UCMS rats after MH treatment. In addition, 13 miRNAs were selected, and 12 of them were validated in the hippocampus by qRT-PCR. Then, we predicted upstream lncRNAs and downstream mRNAs of the validated miRNAs and interacted with the results of microarrays. Eventually, a lncRNA-miRNA-mRNA regulatory network, responding to MH treatment, was constructed based on the 314 lncRNAs, 11 miRNAs, and 221 mRNAs. KEGG pathways suggested that these genes may be highly related to Wnt signaling, axon guidance, and MAPK signaling pathways. All these results suggest that MH may be a potential representative compound for the treatment of depression, and its mechanism of action is related to the ceRNA modification.

Towards Multimodal Machine Learning Prediction of Individual Cognitive Evolution in Multiple Sclerosis

Multiple sclerosis (MS) manifests heterogeneously among persons suffering from it, making its disease course highly challenging to predict. At present, prognosis mostly relies on biomarkers that are unable to predict disease course on an individual level. Machine learning is a promising technique, both in terms of its ability to combine multimodal data and through the capability of making personalized predictions. However, most investigations on machine learning for prognosis in MS were geared towards predicting physical deterioration, while cognitive deterioration, although prevalent and burdensome, remained largely overlooked. This review aims to boost the field of machine learning for cognitive prognosis in MS by means of an introduction to machine learning and its pitfalls, an overview of important elements for study design, and an overview of the current literature on cognitive prognosis in MS using machine learning. Furthermore, the review discusses new trends in the field of machine learning that might be adopted for future studies in the field.

Correlation of the symbol digit modalities test with the quality of life and depression in Japanese patients with multiple sclerosis

BACKGROUND

This study aimed to evaluate the association between cognitive impairment and health-related quality of life (HRQOL), fatigue, and depression in Japanese patients with multiple sclerosis (MS).

METHODS

The Brief International Cognitive Assessment for MS (BICAMS) was performed in 184 Japanese patients with MS. The Functional Assessment of MS (FAMS), Fatigue Severity Scale (FSS), and Beck Depression Inventory-Second Edition (BDI-II) were used to evaluate HRQOL, fatigue, and depression, respectively.

RESULTS

Multiple linear regression analysis demonstrated positive correlations of the Symbol Digit Modalities Test (SDMT) with the scores on the FAMS subscales of mobility, symptoms, emotional well-being, and additional concerns and with the total FAMS score even after controlling for the Expanded Disability Status Scale score, age at examination, and duration of education. The SDMT score in the BICAMS battery had negative correlations with the BDI-II score, as revealed by multiple linear regression analysis. None of the three tests in the BICAMS had any correlation with the FSS score.

CONCLUSION

The SDMT has a significant relationship with HRQOL and depression in Japanese patients with MS.

A systematic review of the association between fatigue and cognition in chronic noncommunicable diseases

OBJECTIVES

Fatigue is one of the most common symptoms associated with chronic noncommunicable diseases, and it may also increase cognitive impairment. However, associations between fatigue and cognitive impairment in chronic illnesses remain unclear. Therefore, the purpose of this systematic review was to examine research that investigated associations between level of fatigue and cognitive status.

METHODS

PubMed/Medline, PsycINFO, CINAHL, and Cochrane Database were searched for articles published between 2012 and 2018 using search terms fatigue, cognition, and various iterations of these terms. Study quality was assessed by the Joanna Briggs Institute Critical Appraisal Checklist tool.

RESULTS

Of 1799 citations, 10 studies in samples of individuals with cancer, multiple sclerosis, neurosarcoidosis, and chronic fatigue syndrome met the inclusion criteria. Fatigue was found to be significantly correlated with cognitive impairment in one cancer-related study (r = -.480, p < .001), one multiple sclerosis study (β= -0.52, p < .0001), and two chronic fatigue syndrome studies (r = 0.397, p < .001; r = 0.388, p < .001).

DISCUSSION

There is insufficient evidence examining the relationship between fatigue and cognitive impairment in patients with chronic illnesses. As a result, more studies are needed that examine potential relationships between these two symptoms in order to develop effective treatments for individuals living with a chronic noncommunicable disease.

Secondary progressive multiple sclerosis: a systematic review of costs and health state utilities

Objective: To identify evidence in the literature presenting the economic and humanistic (based on health state utility values [HSUVs]) burden of multiple sclerosis (MS) and report the incremental burden of secondary progressive MS (SPMS) compared with relapsing-remitting MS (RRMS).Methods: Electronic databases (Embase, MEDLINE, MEDLINE In-Process, Cochrane Library) and other relevant repositories were systematically searched from the date of inception until November 2019 for evidence on the economic burden of MS, or HSUVs in patients with MS. Data were extracted from studies investigating cost data or HSUVs for patients with SPMS compared with RRMS.Results: In total, 25 studies were identified that reported data on the economic and HSUV burden of SPMS versus RRMS: 18 studies reported cost data and nine presented HSUVs. Overall, costs associated with SPMS were consistently higher than those for RRMS. Major cost drivers appeared to shift following transition from RRMS to SPMS, with higher direct medical costs associated with RRMS than with SPMS, while the opposite was true for direct non-medical costs and indirect costs. In all studies presenting HSUVs specifically in patients with SPMS, the disease burden was greater (indicated by lower HSUV scores or a negative regression coefficient vs RRMS) for patients with SPMS than for those with RRMS. Fatigue and psychological stress (including depression) were identified as key drivers of this reduced health-related quality of life (HRQoL).Conclusions: Our findings indicate that SPMS is associated with higher costs and more substantial HRQoL decrements than RRMS. These results highlight the substantial unmet need for effective treatments that can slow disease progression in patients with SPMS, which, in turn, would reduce the rate of HRQoL deterioration and increasing healthcare costs.

State of the Art and Future Challenges in Multiple Sclerosis Research and Medical Management: An Insight into the 5th International Porto Congress of Multiple Sclerosis

The 5th International Porto Congress of Multiple Sclerosis took place between the 14th and 16th of February 2019 in Porto, Portugal. Its intensive programme covered a wide-range of themes-including many of the hot topics, challenges, pitfalls and yet unmet needs in the field of multiple sclerosis (MS)-led by a number of well-acknowledged world experts. This meeting review summarizes the talks that took place during the congress, which focussed on issues in MS as diverse as the development and challenges of progressive MS, epidemiology, differential diagnosis, medical management, molecular research and imaging tools.

A Scoring Algorithm for Deriving Utility Values from the Neuro-QoL for Patients with Multiple Sclerosis

INTRODUCTION

The Neuro-QoL is a standardized approach to assessing health-related quality of life in people with neurological conditions, including multiple sclerosis (MS). Item banks were developed with item response theory (IRT) methodology so items are calibrated along a continuum of each construct. The purpose of this study was to develop a preference-based scoring algorithm for the Neuro-QoL to derive utilities that could be used in economic modeling.

METHODS

With input from neurologists, 6 Neuro-QoL domains were selected based on relevance to MS and used to define health states for a utility elicitation study in the United Kingdom. General population participants and individuals with MS valued the health states and completed questionnaires (including Neuro-QoL short forms). The Neuro-QoL Utility Scoring System (NQU) was derived based on multi-attribute utility theory using data from the general population sample. Single-attribute disutility functions for 6 Neuro-QoL domains were estimated using isotonic regression with linear interpolation and then combined with a multiplicative model. NQU validity was assessed using MS participant data.

RESULTS

Interviews were completed with 203 general population participants (50.2% female; mean age = 45.0 years) and 62 participants with MS (62.9% female; mean age = 46.1 years). Mean (SD) NQU scores were 0.94 (0.06) and 0.82 (0.13) for the general population and MS samples, respectively. The NQU demonstrated known-groups validity by differentiating among subgroups categorized based on level of disability. The NQU demonstrated convergent validity via correlations with generic measures (0.66 and 0.63 with EQ-5D-5L and Health Utilities Index Mark 3, respectively; both P < 0.001).

DISCUSSION

With the NQU, utilities can be derived from any MS treatment group, subgroup, or patient sample who completes items from 6 Neuro-QoL domains. Because the Neuro-QoL is frequently used with MS patients, the NQU greatly expands the options for quantifying outcomes in cost-utility analyses conducted to inform allocation of resources for MS treatment.

Anxiety in multiple sclerosis is related to depressive symptoms and cognitive complaints

OBJECTIVES

Multiple sclerosis (MS) patients suffer from high levels of anxiety. However, it is unclear which factors are related to anxiety, since study results are inconsistent, and the associated factors have not been examined comprehensively. In this study, we investigated the demographic, disease-related and psychological factors associated with anxiety in MS patients.

MATERIALS AND METHODS

Cross-sectional data of 119 MS patients were used. Anxiety and depressive symptoms (Hospital Anxiety and Depression Scale), fatigue (Fatigue Severity Scale), cognitive complaints (Cognitive Failures Questionnaire) and cognitive functioning (Wisconsin Card Sorting Test, Controlled Oral Word Association Test, Letter Digit Substitution Test, Concept Shifting Test, Wechsler Memory Test Faces and the Dutch version of the California Verbal Learning Test) were measured. Bivariate and multivariable regression analyses were conducted to test the associations between anxiety and potential contributing factors.

RESULTS

In this sample, 42% of the MS patients had clinically significant levels of anxiety, defined by a score ≥8 on the anxiety subscale of the Hospital Anxiety and Depression Scale (HADS). A significant correlation was found between anxiety and depressive symptoms, fatigue, cognitive complaints and psychiatric history. In the multivariable analysis, only depressive symptoms and cognitive complaints remained significantly related to anxiety.

CONCLUSIONS

Anxiety is common in MS patients and most strongly related to psychological factors. This knowledge can be taken into account when treating patients with MS. Further research is needed using longitudinal designs and incorporating other factors known to influence anxiety, such as coping, negative affectivity and social support.

Cognitive Dysfunctions and Assessments in Multiple Sclerosis

Cognitive impairment has been reported at all phases and all subtypes of multiple sclerosis. It remains a major cause of neurological disability in young and middle-aged adults suffering from the disease. The severity and type of cognitive impairment varies considerably among individuals and can be observed both in early and in later stages. The areas which have commonly shown more deficits are: information processing speed, complex attention, memory, and executive function. Even though an alteration in both the white matter and in the gray matter has been found in patients with multiple sclerosis and cognitive impairment, the underlying process still remains unknown. Standardized neurological examinations fail to detect emerging cognitive deficits and self-reported cognitive complaints by the patients can be confounded by other subjective symptoms. This review is a comprehensive and short update of the literature on cognitive dysfunctions, the possible confounders and the impact of quality of life in patients with multiple sclerosis.

Relationship of perceived stress and employment status in individuals with multiple sclerosis

BACKGROUND

Many individuals with multiple sclerosis (MS) are unemployed relatively soon after diagnosis. There is a paucity of research on the relationship between psychological distress and employment status in persons with MS.

OBJECTIVE

To explore the relative distress of employed versus unemployed individuals with MS.

METHODS

Secondary cross-sectional analysis of a mailed survey. Variables were categorized by demographics (age, gender, education, marital status), disease (EDSS, MS symptom duration, fatigue, MS-type), and psychosocial factors (depression, anxiety, perceived stress, self-reported general cognitive concerns, self-reported executive dysfunction). Univariate logistic regression analysis was used to identify variables significantly associated with employment status. All significant variables were then included in a multivariate model to identify the most salient correlates.

RESULTS

Univariate analyses identified 10 variables that were significantly associated with employment status: age, education, EDSS, MS symptom duration, MS-type, depression symptoms, perceived stress, fatigue, and self-reported cognitive symptoms. The multivariate model yielded four demographic and disease-related variables and one emotional distress variable (older age, moderate disability [EDSS], longer symptom duration, MS-type, higher perceived stress) as significant.

CONCLUSIONS

After adjusting for disease variables, demographics, and significant psychosocial factors, perceived stress remained associated with employment status, such that greater perceived stress was associated with being unemployed.

The Rationale for Monitoring Cognitive Function in Multiple Sclerosis: Practical Issues for Clinicians

About half of patients with multiple sclerosis exhibit cognitive impairment which negatively affects their quality of life. The assessment of cognitive function in routine clinical practice is still undervalued, although various tools have been proposed for this reason. In this article, we describe the potential benefits of implementing cognitive assessment tools in routine follow -ups of MS patients. Early detection of changes in cognitive performance may provide evidence of disease activity, could unmask depression or medication side-effects and provide suitable candidates for cognitive rehabilitation. Since apathy and cognitive deficiencies are common presenting symptoms in Progressive Multifocal Leukoencephalopathy, we discuss the utility of frequent monitoring of mental status in multiple sclerosis patients at increased risk. In addition, we propose a relevant algorithm aiming to incorporate a systematic evaluation of cognitive function in every day clinical practice in multiple sclerosis.

Evaluating subjective cognitive impairment in the adult epilepsy clinic: Effects of depression, number of antiepileptic medications, and seizure frequency

OBJECTIVE

Subjective cognitive complaints are a frequent concern of patients with epilepsy. The Aldenkamp-Baker Neuropsychological Assessment Schedule (ABNAS) is a patient-reported scale validated to measure adverse cognitive effects of antiepileptic drugs (AEDs). The goals of this study were to identify predictors of patient-reported cognitive dysfunction and to assess the relationship between subjective and objective cognitive impairment.

METHODS

The Cleveland Clinic Knowledge Program Data Registry was used to identify adult patients seen in outpatient epilepsy clinic from January to May 2015 and who completed the following scales: ABNAS for subjective cognitive impairment, Patient Health Questionnaire (PHQ-9) for depression, Generalized Anxiety Disorder 7-item (GAD-7) scale, Quality of Life in Epilepsy (QOLIE-10), and EuroQOL five dimensions questionnaire (EQ-5D) for health-related quality of life. Topiramate (TPM) was considered a high-risk medication for cognitive impairment. Patients were categorized into groups based on total ABNAS score: subjective cognitive impairment (ABNAS>15; N=270) and no subjective cognitive impairment (ABNAS≤15; N=400). Multivariable logistic regression models were constructed to identify independent predictors of subjective cognitive impairment. In a subset of patients who had neuropsychological testing within 6months of completing the ABNAS (N=60), Pearson correlations and multivariable logistic regression models, controlling for number of AEDs, depression, and anxiety, assessed the relationship between subjective cognitive impairment and objective cognitive performance on measures of intelligence, attention/working memory, verbal fluency, naming, processing speed, manual dexterity, visuomotor processing, and verbal memory.

RESULTS

Forty percent of patients in the overall sample (N=270/670) reported cognitive impairment. The variables most strongly associated with subjective cognitive impairment were PHQ-9 score, number of AEDs, and seizure frequency. In the subset of patients with neuropsychological testing, ABNAS score was correlated with anxiety (r=0.44), depression (r=0.38), and attention/working memory (r=-0.31). After adjusting for depression and anxiety, patients who endorsed subjective cognitive impairment scored significantly lower on measures of nonverbal intelligence and attention/working memory, but not on other cognitive measures.

CONCLUSIONS

Subjective cognitive impairment as reported on the ABNAS is most strongly associated with depressive symptomatology, number of AEDs, and seizure frequency, but not with most objective cognitive measures. Identifying these three predictors provides a clear framework to understand and address subjective cognitive complaints in adult patients with epilepsy.

Hippocampal MicroRNAs Respond to Administration of Antidepressant Fluoxetine in Adult Mice

Current antidepressant treatments to anxiety and depression remain inadequate, burdened by a significant percentage of misuse and drug side-effects, due to unclear mechanisms of actions of antidepressants. To better understand the regulatory roles of antidepressant fluoxetine-related drug reactions, we here investigate changes of expression levels of hippocampal microRNAs (miRNAs) after administration of fluoxetine in normal adult mice. We find that 64 miRNAs showed significant changes between fluoxetine treatment and control groups by analyzing 626 mouse miRNAs. Many miRNAs in response to fluoxetine are involved in neural-related signaling pathways by analyzing miRNA-target gene pairs using the Kyoto encyclopedia of genes and genomes (KEGG) and Gene Ontology (GO). Moreover, miRNAs with altered expression are mainly associated with the repression of the dopaminergic synapse signals, which may affect hippocampal function after fluoxetine treatment. Our results demonstrate that a number of miRNAs respond to antidepressants even in normal mice and may affect target gene expression, which supports the safety consideration of inappropriate treatment and off-label use of antidepressant drugs.

Perceived stress and reported cognitive symptoms among Georgia patients with systemic lupus erythematosus

Objective To examine associations of perceived stress with cognitive symptoms among adults with systemic lupus erythematosus (SLE). Methods Among 777 adult (≥18 years) SLE patients, the association of Perceived Stress Scale (PSS) scores with two self-reported cognitive symptoms was examined: forgetfulness (severe/moderate vs. mild/none; from the Systemic Lupus Activity Questionnaire) and difficulty concentrating (all/most vs. some/little/none of the time; from the Lupus Impact Tracker). The study used multivariable logistic regression to estimate the odds ratios (ORs) per minimal important difference (MID = 0.5*SD) of PSS score and cognitive symptoms. Results Forgetfulness and difficulty concentrating were reported by 41.7% and 29.5%, respectively. Women and those with less education and high disease activity had higher PSS scores and were more likely to report cognitive symptoms than their counterparts. With adjustment for age, race, sex, education, and disease activity, each MID increase in PSS score was associated with higher prevalence of forgetfulness (OR = 1.43, 95% CI 1.29-1.47) and difficulty concentrating (OR = 2.19, 95% CI 1.90-2.52). No substantial differences in this association by age, race, sex, or disease activity were noted. Conclusions SLE patients, particularly those with high disease activity, report a high burden of cognitive symptoms, for which stress may be a modifiable risk factor.

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.

New insights into the burden and costs of multiple sclerosis in Europe

Background:

The current focus in multiple sclerosis (MS) is on early diagnosis and drug intervention, with a view to modifying disease progression. Consequently, healthcare costs have shifted from inpatient care and rehabilitation to outpatient care.

Objectives:

This European burden of illness study provides data that can be combined with other evidence to assess whether management approaches provide value to society.

Methods:

A cross-sectional study was conducted in 16 countries. Patients reported on their disease, health-related quality of life (HRQoL) and resource consumption. Descriptive analyses were performed by disease severity. Costs are reported from a societal perspective in 2015€ PPP (adjusted for purchasing power parity).

Results:

The 16,808 participants had a mean age of 51.5 years, and 52% had relapsing–remitting multiple sclerosis (RRMS). Work capacity declined from 82% to 8%, and utility declined from normal population values to less than zero with advancing disease. Mean costs were 22,800€ PPP in mild, 37,100€ PPP in moderate and 57,500€ PPP in severe disease; healthcare accounted for 68%, 47% and 26%, respectively. Fatigue and cognitive difficulties were reported by 95% and 71% of participants, respectively; both had a significant independent effect on utility.

Conclusion:

Costs and utility were highly correlated with disease severity, but resource consumption was heavily influenced by healthcare systems organisation and availability of services.

Association of self-reported cognitive concerns with mobility in people with lower limb loss

PURPOSE

This study tested the hypothesis that greater perceived cognitive concerns are associated with worse mobility in a cohort of prosthesis users with lower limb loss (LLL).

METHOD

We performed a secondary analysis of cross-sectional self-report data from a volunteer sample of people with LLL due to dysvascular and non-dysvacular causes. Perceived cognitive difficulties were assessed using the Quality of Life in Neurological Disorders Applied Cognition - General Concerns (Neuro-QoL ACGC). Mobility was measured with the Activities-Specific Balance Confidence Scale (ABC) and the Prosthetic Limb Users Survey of Mobility (PLUS-M). Simple linear regressions examined univariate relationships between cognitive concerns and mobility. Multiple linear regression analyses included demographic and amputation-related variables that could influence this relationship.

RESULTS

Analysis of data from 1291 people with LLL demonstrated that greater cognitive concerns, measured by the Neuro-QoL ACGC, were associated with poorer perceived mobility, measured by both ABC and PLUS-M instruments. This relationship remained statistically significant after adjusting for demographic and amputation-related factors.

CONCLUSIONS

These results suggest that greater cognitive concerns are associated with worse mobility among a broad range of people with LLL. An improved understanding of this relationship is critical for optimizing rehabilitation outcomes for this population. Implications for rehabilitation Rehabilitation for people with lower limb loss (LLL) typically focuses on physical impairments and mobility limitations, but cognition is increasingly recognized to have an impact on functional outcomes. Greater perceived cognitive concerns are associated with poorer mobility among a broad range of people with LLL, even when adjusting for demographic and amputation-related factors. Cognitive status can impact relevant rehabilitative outcomes, including mobility, and should be considered when planning prosthetic and therapeutic interventions.