Clinical correlates of R1 relaxometry and magnetic susceptibility changes in multiple sclerosis: a multi-parameter quantitative MRI study of brain iron and myelin.

OBJECTIVES: The clinical impact of brain microstructural abnormalities in multiple sclerosis (MS) remains elusive. We aimed to characterize the topography of longitudinal relaxation rate (R1) and quantitative susceptibility (χ) changes, as indices of iron and myelin, together with brain atrophy, and to clarify their contribution to cognitive and motor disability in MS. METHODS: In this cross-sectional study, voxel-based morphometry, and voxel-based quantification analyses of R1 and χ maps were conducted in gray matter (GM) and white matter (WM) of 117 MS patients and 53 healthy controls. Voxel-wise between-group differences were assessed with nonparametric permutation tests, while correlations between MRI metrics and clinical variables (global disability, cognitive and motor performance) were assessed both globally and voxel-wise within clusters emerging from the between-group comparisons. RESULTS: MS patients showed widespread R1 decrease associated with more limited modifications of χ, with atrophy mainly involving deep GM, posterior and infratentorial regions (p < 0.02). While R1 and χ showed a parallel reduction in several WM tracts (p < 0.001), reduced GM R1 values (p < 0.001) were associated with decreased thalamic χ (p < 0.001) and small clusters of increased χ in the caudate nucleus and prefrontal cortex (p < 0.02). In addition to the atrophy, χ values in the cingulum and corona radiata correlated with global disability and motor performance, while focal demyelination correlated with cognitive performance (p < 0.04). CONCLUSIONS: We confirmed the presence of widespread R1 changes, involving both GM and WM, and atrophy in MS, with less extensive modifications of tissue χ. While atrophy and χ changes are related to global and motor disability, R1 changes are meaningful correlates of cognition. KEY POINTS: • Compared to healthy controls, multiple sclerosis patients showed R1 and χ changes suggestive of iron increase within the basal ganglia and reduced iron and myelin content within (subnuclei of) the thalamus. • Thalamic volume and χ changes significantly predicted clinical disability, as well as pulvinar R1 and χ changes, independently from atrophy. • Atrophy-independent R1 and χ changes, suggestive of thalamic iron and myelin depletion, may represent a sensitive marker of subclinical inflammation.

Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach.

OBJECTIVES: To stratify patients with multiple sclerosis (pwMS) based on brain MRI-derived volumetric features using unsupervised machine learning. METHODS: The 3-T brain MRIs of relapsing-remitting pwMS including 3D-T1w and FLAIR-T2w sequences were retrospectively collected, along with Expanded Disability Status Scale (EDSS) scores and long-term (10 ± 2 years) clinical outcomes (EDSS, cognition, and progressive course). From the MRIs, volumes of demyelinating lesions and 116 atlas-defined gray matter regions were automatically segmented and expressed as z-scores referenced to external populations. Following feature selection, baseline MRI-derived biomarkers entered the Subtype and Stage Inference (SuStaIn) algorithm, which estimates subgroups characterized by distinct patterns of biomarker evolution and stages within subgroups. The trained model was then applied to longitudinal MRIs. Stability of subtypes and stage change over time were assessed via Krippendorf's α and multilevel linear regression models, respectively. The prognostic relevance of SuStaIn classification was assessed with ordinal/logistic regression analyses. RESULTS: We selected 425 pwMS (35.9 ± 9.9 years; F/M: 301/124), corresponding to 1129 MRI scans, along with healthy controls (N = 148; 35.9 ± 13.0 years; F/M: 77/71) and external pwMS (N = 80; 40.4 ± 11.9 years; F/M: 56/24) as reference populations. Based on 11 biomarkers surviving feature selection, two subtypes were identified, designated as "deep gray matter (DGM)-first" subtype (N = 238) and "cortex-first" subtype (N = 187) according to the atrophy pattern. Subtypes were consistent over time (α = 0.806), with significant annual stage increase (b = 0.20; p < 0.001). EDSS was associated with stage and DGM-first subtype (p ≤ 0.02). Baseline stage predicted long-term disability, transition to progressive course, and cognitive impairment (p ≤ 0.03), with the latter also associated with DGM-first subtype (p = 0.005). CONCLUSIONS: Unsupervised learning modelling of brain MRI-derived volumetric features provides a biologically reliable and prognostically meaningful stratification of pwMS. KEY POINTS: • The unsupervised modelling of brain MRI-derived volumetric features can provide a single-visit stratification of multiple sclerosis patients. • The so-obtained classification tends to be consistent over time and captures disease-related brain damage progression, supporting the biological reliability of the model. • Baseline stratification predicts long-term clinical disability, cognition, and transition to secondary progressive course.

Cognitive trajectories in multiple sclerosis: a long-term follow-up study.

BACKGROUND: Cognitive impairment occurs in multiple sclerosis (MS) and undergoes a progressive worsening over disease course. However, clinicians still struggle to predict the course of cognitive function. To evaluate baseline clinical and imaging predictors of cognitive abilities worsening over time, we performed a latent trajectory analysis for cognitive performances in MS patients, up to 15 years from disease onset. METHODS: We collected age, sex, education, dominant and non-dominant 9-hole peg test (9HP) and timed 25-foot walk (T25-FW) as well as MRI measures (grey matter volume and lesion load) within 6 months from disease diagnosis for relapsing-remitting MS (RR-MS) patients. At diagnosis and over the follow-up, we also assessed cognitive status through the symbol digit modalities test (SDMT). Cognitive impairment was defined by applying age-, gender- and education-adjusted normative values. Group-based trajectory analysis was performed to determine trajectories, and the predictive value of clinical and imaging variables at baseline was assessed through multinomial logistic regression. RESULTS: We included 148 RR-MS (98 females and 50 males). Over 11 ± 4 year follow-up, 51.4% remained cognitively stable whereas 48.6% cognitively worsened. Cognitively worsening patients had a higher T25FW time (p = 0.004) and a reduced hippocampal volume at baseline (p = 0.04). CONCLUSION: Physical disability as well as hippocampal atrophy might depict patients at risk of cognitive worsening over the disease course. Therefore, using such predictors, clinicians may select patients to carefully evaluate for cognitive impairment as to eventually introduce cognitive rehabilitation treatments.

Mental Health in Multiple Sclerosis During the COVID-19 Outbreak: A Delicate Balance between Fear of Contagion and Resilience.

The current study aimed at exploring the relationship between objective disability, illness perceptions, resilience, fear of COVID-19, and psychological distress (i.e., anxiety, depression, and stress) in people with multiple sclerosis (pwMS) during the second wave of the COVID-19 outbreak. A group of 122 pwMS recruited in an Italian university hospital took part in this cross-sectional monocentric study. Hierarchical multiple linear regression analyses were performed to assess the strength of the hypothesized associations. Results indicated that, differently from cognitive impairment, motor disability was positively associated with anxiety. However, accounting for subjective illness perception, such association was no longer significant. Moreover, accounting for both protective and risk factors in the models, even illness perception was no longer significant, highlighting the central role of resilience and fear of COVID-19 in explaining the negative emotional outcomes. Implications for clinical interventions and psychoeducational trainings are discussed.

COVID-19 pandemic and mental distress in multiple sclerosis: Implications for clinical management.

BACKGROUND AND PURPOSE: In multiple sclerosis (MS), disease-related factors and dysfunctional coping might favor the development of mental distress induced by COVID-19 containment measures. Aim of this study was exploring the relationship between disability, coping strategies, daily life reorganization and neuropsychiatric symptoms in an Italian MS population during the COVID-19 lockdown, in order to identify potentially modifiable factors that could inform clinical management of mental distress in people with MS. METHODS: We explored the relationship between mental distress, disability and coping strategies in the Italian MS population under lockdown. Structural equation modeling was applied to information collected via web survey to identify modifiable factors that could account for mental distress. RESULTS: A total of 845 participants (497 with MS and 348 controls) were included in the study. The MS group had higher scores than the control group for depression (p = 0.005), but not for anxiety, emotional dyscontrol or sleep disturbances. The structural equation modeling explained 74% of the variance observed in depression score. Within the model, three latent factors were characterized from measured variables: motor disability and cognitive dysfunction contributed to disability (ß = 0.509 and ß = 0.836; p < 0.001); positive attitude and exercise contributed to active attitude (ß = 0.386 and ß = 0.297; p < 0.001); and avoidance, social support and watching television contributed to passive attitude (ß = 0.301, ß = 0.243 and ß = 0.212; p < 0.001). With regard to the relationship between latent factors and their influence on depression, disability contributed to passive attitude (ß = 0.855; p < 0.001), while both passive and active attitude significantly influenced depression (ß = 0.729 and ß = -0.456; p < 0.001). CONCLUSION: As a practical implication of our model, favoring exercise would enhance active attitude and its positive impact on mental well-being while, at the same time, reducing the negative impact of disability on depression, representing a valuable tool in facing COVID-19-related mental distress.

Application of the p9NORM correction method to timed neuropsychological tests in Parkinson's disease and multiple system atrophy.

OBJECTIVE: Timed neuropsychological tests do not take into account physical impairment during scoring procedures. Dysarthria and upper limb impairment can be easily measured with the PATA rate test (PRT) and the nine-hole pegboard test (9HPT). We recently validated a normalization method for timed neuropsychological tests using the PRT and 9HPT (p9NORM). We now validate the p9NORM in Parkinson's disease (Yarnall et al. Neurology 82(4):308-316; 2014) and multiple system atrophy (MSA). METHODS: We enrolled twenty-six patients with PD, eighteen patients with MSA, and fifteen healthy controls (HC). p9NORM was applied to patients with abnormal PRT and/or 9HPT. All subjects were tested with a comprehensive neuropsychological battery. RESULTS: No differences emerged in demographics across groups: (PD: mean age ± SD 66 ± 8; education 9 ± 4 years; MSA: age 60 ± 8; education 10 ± 4 years; HC: age 61 ± 12; education 9 ± 4 years). In MSA patients, the scores on the trail making test (TMT-A p = 0.003; TMT-B p = 0.018), attentional matrices (AM; p = 0.042), and symbol digit modalities test (SDMT p = 0.027) significantly differed following application of p9NORM. In PD patients, the TMT-A (p < 0.001), TMT-B (p = 0.001), and AM (p = 0.001) differed after correction. PD and MSA showed cognitive impairment relative to HC performance. When comparing MSA with PD, the SDMT, AM, and fluencies were similar. TMT-A and -B raw scores were different between groups (p = 0.006; p = 0.034), but these differences lost significance after p9NORM corrections (p = 0.100; p = 0.186). CONCLUSIONS: We confirm that the p9NORM can be successfully used in both PD and MSA patients, as it mitigates the impact of disability on timed tests, resulting in a more accurate analysis of cognitive domains.

Correction to: Normative values of the Rao's Brief Repeatable Battery in an Italian young adolescent population: the influence of age, gender, and education.

The published version of this article unfortunately contained a mistake in Table 2.

Normative values of the Rao's Brief Repeatable Battery in an Italian young adolescent population: the influence of age, gender, and education.

AIM: The Brief Repeatable Battery of Neuropsychological Tests (BRB) is frequently used to estimate cognitive function in adults with multiple sclerosis (MS), while it has been included in few studies on young MS, also because of the absence of normative values. We aim to evaluate the impact of age, gender, and education on BRB scores in a young adolescent population. METHODS: We administered the BRB to 76, 14-to-17-year-old, healthy subjects. Linear regression models were used to assess the impact of age, gender, and education on sub-test scores. When statistically significant (p < 0.05), we used the regression coefficient to correct the raw scores. RESULTS: Younger age was associated with better performance on SPART (ß = - 2.54; p < 0.05) and SPART-D (ß = - 1.06; p < 0.05). Male gender was associated with better performance on SPART (ß = 3.40; p < 0.05), SPART-D (ß = 1.41; p < 0.05), PASAT-3 (ß = 5.58; p < 0.05), and PASAT-2 (ß = 5.07; p < 0.05). Educational attainments were associated with better performance on SPART (ß = 3.23; p < 0.05) and SPART-D (ß = 1.28; p < 0.05). Cut-off points were suggested at the 5th lowest percentile. INTERPRETATION: Age, gender, and education must be accounted for when applying the BRB to young population. Present results can prove useful for future clinical and research applications in adolescent MS patients.

Default mode network modifications in Fabry disease: A resting-state fMRI study with structural correlations.

Aim of the study was to evaluate the presence of Default Mode Network (DMN) modifications in Fabry Disease (FD), and their possible correlations with structural alterations and neuropsychological scores. Thirty-two FD patients with a genetically confirmed diagnosis of classical FD (12 males, mean age 43.3 ± 12.2) were enrolled, along with 35 healthy controls (HC) of comparable age and sex (14 males, mean age 42.1 ± 14.5). Resting-State fMRI data were analyzed using a seed-based approach, with six different seeds sampling the main hubs of the DMN. Structural modifications were assessed by means of Voxel-Based Morphometry (VBM) and Tract-Based Spatial Statistics analyses. Between-group differences and correlations with neuropsychological variables were probed voxelwise over the whole brain. Possible correlations between FC modifications and global measures of microstructural alteration were also tested in FD patients with a partial correlation analysis. In the FD group, clusters of increased functional connectivity involving both supratentorial and infratentorial regions emerged, partially correlated to the widespread white matter (WM) damage found in these patients. No gray matter volume differences were found at VBM between the two groups. The connectivity between right inferior frontal gyrus and precuneus was significantly correlated with the Corsi block-tapping test results (p = .0001). Widespread DMN changes are present in FD patients that correlate with WM alterations and cognitive performance. Our results confirm the current view of a cerebral involvement in FD patients not simply associated to major cerebrovascular events, but also related to significant and diffuse microstructural and functional changes.

Emotion Recognition and Psychological Comorbidity in Friedreich's Ataxia.

Friedreich's ataxia (FRDA) is an autosomal recessive disease presenting with ataxia, corticospinal signs, peripheral neuropathy, and cardiac abnormalities. Little effort has been made to understand the psychological and emotional burden of the disease. The aim of our study was to measure patients' ability to recognize emotions using visual and non-verbal auditory hints, and to correlate this ability with psychological, neuropsychological, and neurological variables. We included 20 patients with FRDA, and 20 age, sex, and education matched healthy controls (HC). We measured emotion recognition using the Geneva Emotion Recognition Test (GERT). Neuropsychological status was assessed measuring memory, executive functions, and prosopagnosia. Psychological tests were Patient Health Questionnaire-9 (PHQ-9), State Trait Anxiety Inventory-state/-trait (STAI-S/-T), and Structured Clinical Interview for DSM Disorders II. FRDA patients scored worse at the global assessment and showed impaired immediate visuospatial memory and executive functions. Patients presented lower STAI-S scores, and similar scores at the STAI-T, and PHQ-9 as compared to HC. Three patients were identified with personality disorders. Emotion recognition was impaired in FRDA with 29% reduction at the total GERT score (95% CI - 44.8%, - 12.6%; p < 0.001; Cohen's d = 1.2). Variables associated with poor GERT scores were the 10/36 spatial recall test, the Ray Auditory Verbal Learning Test, the Montreal Cognitive Assessment, and the STAI-T (R2 = 0.906; p < 0.001). FRDA patients have impaired emotion recognition that may be secondary to neuropsychological impairment. Depression and anxiety were not higher in FRDA as compared to HC and should not be considered as part of the disease.

Cerebellar lobule atrophy and disability in progressive MS.

OBJECTIVE: To investigate global and lobular cerebellar volumetries in patients with progressive multiple sclerosis (MS), testing the contribution of cerebellar lobular atrophy to both motor and cognitive performances. METHODS: Eighty-two patients with progressive MS and 46 healthy controls (HC) were enrolled in this cross-sectional study. Clinical evaluation included motor and cognitive testing: Expanded Disability Status Scale, cerebellar Functional System score, Timed 25-Foot Walk Test, 9-Hole Peg Test (9-HPT), Symbol Digit Modalities Test (SDMT), Brief Visuospatial Memory Test-Revised (BVMT) and California Verbal Learning Test II (CVLT). Cerebellar volumes were automatically obtained using the Spatially Unbiased Infratentorial Toolbox. A hierarchical multiple linear regression analysis was performed to assess the relationship between MRI variables of supratentorial and cerebellar damage (grey matter fraction, T2 lesion volume, metrics of cerebellar atrophy and cerebellar lesion volume) and motor/cognitive scores. RESULTS: Patients with MS exhibited lower cerebellar volumes compared with HC. Regression analysis showed that cerebellar metrics accounted for extra variance in both motor and cognitive performances, with cerebellar lesion volume, cerebellar Lobules VI, Crus I and VIIIa atrophy being independent predictors of 9-HPT, SDMT, BVMT and CVLT performances. CONCLUSIONS: Atrophy of specific cerebellar lobules explains different aspects of motor and cognitive disability in patients with progressive MS. Investigation of cerebellar involvement provides further insight into the pathophysiological basis of clinical disability in progressive MS.

The EDSS integration with the Brief International Cognitive Assessment for Multiple Sclerosis and orientation tests.

OBJECTIVE: Despite cognitive tests have been validated in multiple sclerosis (MS), a neuropsychological evaluation is not implemented in the Expanded Disability Status Scale (EDSS) scoring. METHODS: We used the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) and orientation tests (OTs) to measure the cerebral functional system (CFS) score and to evaluate its impact on the EDSS. We compared EDSS calculated as usual (Native-EDSS) and after the use of the BICAMS and OT (NPS-EDSS). RESULTS: We tested 604 MS patients with BICAMS, OTs, and EDSS. In all, 384 patients (63.6%) had at least one altered test at the BICAMS. Older age, lower education, higher Native-EDSS, and male gender were independently associated with at least one impaired BICAMS test. Native-EDSS was different from NPS-EDSS (-0.112; p < 0.001) in 99 patients (16%). When considering patients with a Native-EDSS ⩽ 4.0, the proportion of miscalculated EDSS was 25%. CONCLUSION: The use of brief neuropsychological tests leads to a more accurate CFS assessment in two-thirds of MS patients, and a more accurate EDSS calculation in 25% of patients with a score ⩽4.0. This may help clinicians to better recognize cognitive impairment in everyday clinical practice, especially in the case of isolated cognitive worsening.

Cognitive impairment at diagnosis predicts 10-year multiple sclerosis progression.

BACKGROUND: Cognitive impairment occurs from the early phases of multiple sclerosis (MS), and more frequently affects secondary progressive (SP) subjects than relapsing-remitting (RR). OBJECTIVE: To investigate relationships between cognitive dysfunctions in newly diagnosed RRMS, and long-term MS-related outcomes. METHODS: The present 10-year retrospective longitudinal study included 155 RRMS subjects, tested with the Rao Brief Repeatable Battery at MS diagnosis. The reaching of Expanded Disability Status Scale (EDSS) 4.0, and the SP conversion were recorded. RESULTS: 67 subjects (43.2%) reached EDSS 4.0, and 34 subjects (21.9%) converted to SP during a follow-up period of 10.0±1.8 years. Subjects with cognitive impairment at diagnosis had a rate of reaching EDSS 4.0 more than three times greater (p<0.001; HR=3.183), and a rate of SP conversion more than two times greater, as compared to cognitively preserved subjects (p=0.008; HR=2.535). In particular, better scores in the Selective Reminding Test-Delayed Recall and in the Symbol Digit Modalities Test at baseline were associated with lower SP conversion rates during the follow-up period (p=0.018; HR=0.835; and p=0.001; HR=0.941, respectively). CONCLUSION: Cognitive impairment, with particular involvement of processing speed and memory, predicts disability progression and SP conversion in newly diagnosed RRMS, highlighting the importance of cognitive assessment from the beginning of MS.

Validation of an iPad version of the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS).

BACKGROUND: The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used screening tool for cognitive impairment in Multiple Sclerosis (MS). However, the administration and scoring procedures of the paper version are time consuming and prone to errors. Aim of our study was to develop a tablet version of BICAMS (iBICAMS), and to assess its reliability compared to the paper version. METHODS: We administered both BICAMS and iBICAMS to 139 MS patients in two different sessions. We compared scores on both versions using a paired t-test. We used a repeated measures ANOVA to test the impact of rater, order of administration and test-retest time on test-retest performances. We used the Intraclass Correlation Coefficient (ICC) to assess the reliability between BICAMS and iBICAMS. RESULTS: All three sub-tests of the BICAMS (SDMT, CVLT-II and BVMT-R) were different between the paper and the tablet versions. Order of administration influenced test-retest performances at the SDMT (p<0.001), CVLT- II (p<0.001) and BVMT-R (p<0.001). Intraclass coefficient correlation (ICC) revealed a high level of agreement between the paper BICAMS and the iPad version for all three tests: SDMT (0.92), CVLT-II (0.83) and BVMT-R (0.82). CONCLUSIONS: We found a high reliability between BICAMS and iBICAMS. Considering the inherent advantages of automated scoring, digital storage of data, standardized timing, the iBICAMS could become a standard in clinical practice.

Structural disconnection and functional reorganization in Fabry disease: a multimodal MRI study.

Central nervous system involvement in Fabry disease, a rare systemic X-linked lysosomal storage disorder, is characterized by the presence of heterogeneous but consistent functional and microstructural changes. Nevertheless, knowledge about the degree and extension of macro-scale brain connectivity modifications is to date missing. In this work, we performed connectomic analyses of diffusion and resting-state functional MRI to investigate changes of both structural and functional brain organization in Fabry disease, as well as to explore the relationship between the two and their clinical correlates. In this retrospective cross-sectional study, 46 patients with Fabry disease (28F, 42.2 ± 13.2years) and 49 healthy controls (21F, 42.3 ± 16.3years) were included. All subjects underwent an MRI examination including anatomical, diffusion and resting-state functional sequences. Images were processed to obtain quantitative structural and functional connectomes, where the connections between regions of interest were weighted by the total intra-axonal signal contribution of the corresponding bundle and by the correlation between blood-oxygen level-dependent time series, respectively. We explored between-group differences in terms of both global network properties, expressed with graph measures and specific connected subnetworks, identified using a network-based statistics approach. As exploratory analyses, we also investigated the possible association between cognitive performance and structural and functional connectome modifications at both global and subnetwork level in a subgroup of patients (n = 11). Compared with healthy controls, patients with Fabry disease showed a significantly reduced global efficiency (P = 0.005) and mean strength (P < 0.001) in structural connectomes, together with an increased modularity (P = 0.005) in functional networks. As for the network-based statistics analysis, a subnetwork with decreased structural connectivity in patients with Fabry disease compared with healthy controls emerged, with eight nodes mainly located at the level of frontal or deep grey-matter areas. When probing the relation between altered global network metrics and neuropsychological tests, correlations emerged between the structural and functional disruption with results at verbal and working memory tests, respectively. Furthermore, structural disruption at subnetwork level was associated with worse executive functioning, with a significant moderation effect of functional changes suggesting a compensation mechanism. Taken together, these results further expand the current knowledge about brain involvement in Fabry disease, showing widespread structural disconnection and functional reorganization, primarily sustained by loss in axonal integrity and correlating with cognitive performance.

Interplay Between Cognitive and Bowel/Bladder Function in Multiple Sclerosis.

PURPOSE: The aim of this study was to evaluate the prevalence of bowel/bladder dysfunction in multiple sclerosis (MS) and its associations with cognitive impairment. METHODS: We prospectively enrolled 150 MS patients. Patients were administered the Symbol Digit Modality Test (SDMT), the Neurogenic Bowel Dysfunction Score (NBDS), and the Actionable Bladder Symptom Screening Tool (ABSST). The associations between bowel/bladder dysfunction and cognitive function were assessed through hierarchical regression models using the SDMT and clinicodemographic features as independent variables and NBDS and ABSST scores as dependent variables. RESULTS: The prevalence of bowel/bladder deficits was 44.7%, with 26 patients (17.3%) suffering from bowel deficits and 60 patients (40%) from bladder deficits. The total NBDS and ABSST scores were correlated with the SDMT (ß=-0.10, P<0.001 and ß=-0.03, P=0.04, respectively) after correction for demographic features and physical disability. CONCLUSION: Bowel/bladder disorders are common in MS and are associated with both physical and cognitive disability burdens. As SDMT is embedded into routine clinical assessments, a lower score may warrant investigating bowel/bladder dysfunction due to the strong interplay of these factors.

A Retrospective Exploratory Analysis on Cardiovascular Risk and Cognitive Dysfunction in Multiple Sclerosis.

BACKGROUND: Cardiovascular comorbidities have been associated with cognitive decline in the general population. OBJECTIVES: To evaluate the associations between cardiovascular risk and neuropsychological performances in MS. METHODS: This is a retrospective study, including 69 MS patients. For all patients, we calculated the Framingham risk score, which provides the 10-year probability of developing macrovascular disease, using age, sex, diabetes, smoking, systolic blood pressure, and cholesterol levels as input variables. Cognitive function was examined with the Brief International Cognitive Assessment for MS (BICAMS), including the Symbol Digit Modalities Test (SDMT), the California Verbal Learning Test-II (CVLT-II), and the Brief Visuospatial Memory Test-Revised (BVMT-R). RESULTS: Each point increase of the Framingham risk score corresponded to 0.21 lower CVLT-II score. Looking at Framingham risk score components, male sex and higher total cholesterol levels corresponded to lower CVLT scores (Coeff = -8.54; 95%CI = -15.51, -1.57; and Coeff = -0.11; 95%CI = -0.20, -0.02, respectively). No associations were found between cardiovascular risk and SDMT or BVMT-R. CONCLUSIONS: In our exploratory analyses, cardiovascular risk was associated with verbal learning dysfunction in MS. Lifestyle and pharmacological interventions on cardiovascular risk factors should be considered carefully in the management of MS, given the possible effects on cognitive function.

Physical Exercise Moderates the Effects of Disability on Depression in People with Multiple Sclerosis during the COVID-19 Outbreak.

Physical disability impacts psychosocial wellbeing in people with multiple sclerosis. However, the role of physical activity in this context is still debated. By taking advantage of a previous survey, conducted online from 22 April to 7 May 2020, we performed a post-hoc analysis with the aim to assess the associations between disability, physical exercise, and mental health in multiple sclerosis. We retrieved the following data: (i) sociodemographic information, (ii) changes in lifestyle (including exercise), (iii) physical disability, as measured with the Patient-Determined Disease Steps scale, and (iv) anxiety feelings and depressive symptoms assessed via the items included in the Quality of Life in Neurological Disorders measurement system. Examination of the interaction plot showed that the effect of disability on depression, but not on anxious symptoms, was significant for all levels of physical exercise (low: b = 1.22, 95% C.I. 0.85, 1.58, p < 0.001; moderate: b = 0.95, 95% C.I. 0.66, 1.24, p < 0.001; and high: b = 0.68, 95% C.I. 0.24, 1.13, p = 0.003). Based on these data, we can conclude that disability significantly impacted depression during the COVID-19 pandemic, with physical activity playing a moderating role. Our results suggest that favoring exercise in multiple sclerosis (MS) would ameliorate psychological wellbeing regardless of the level of physical disability.