A snapshot on patient-reported outcome measures of people with multiple sclerosis on first-line therapies in a real world setting.

BACKGROUND: Patient-reported outcomes (PROs) may help patients and clinicians in selecting disease-modifying therapies (DMTs) for multiple sclerosis (MS). OBJECTIVE: To evaluate PRO differences among first-line DMTs for relapsing-remitting (RR) people with MS (pwMS). METHODS: Multicenter study. RR pwMS on first-line DMTs completed Fatigue Severity Scale (FSS), PROs Indices for MS (PRIMUS), 36-item Short-Form Health Survey (SF-36), treatment satisfaction questionnaire for medication (TSQM), Beck Depression Inventory-II (BDI-II), and Symbol Digit Modalities Test (SDMT). Differences among PROs across DMTs were tested by ANOVA. Multivariable linear regressions were used to investigate associations between PROs and the treatment group. RESULTS: Two-hundred eighty pwMS were enrolled: 56% were on interferons (INF), 22% on dimethylfumarate (DMF), 13% on glatiramer acetate, and 9% on teriflunomide (Teri). Compared with INF, pwMS on Teri were the oldest, with higher disability, worst depression at BDI, worst cognitive performances at SDMT (p = 0.001), fatigue at FSS (p = 0.001), and activity limitation and quality of life respectively at PRIMUS (p = 0.005) and SF-36 Mental Composite Score (p < 0.001); pwMS on DMF reported highest side effects and, together with pwMS on Teri, better treatment satisfaction at TSQM. CONCLUSIONS: Compared with INF-treated patients, pwMS on DMF and Teri reported the best treatment satisfaction, although DMF-treated pwMS reported higher side effects and those on Teri the worst QoL and fatigue; however, the older age, higher disability and depression, and worse cognitive performance of pwMS on Teri suggest to be careful in evaluating these results.

Listening to the neurological teams for multiple sclerosis: the SMART project.

OBJECTIVE: Aim of the research was to define the quality of life of Italian neurologists and nurses' professional caring for multiple sclerosis, to understand their living the clinical practice and identify possible signals of compassion fatigue. MATERIAL AND METHODS: One hundred five neurologists and nurses from 30 Italian multiple sclerosis centres were involved in an online quali-quantitative survey on the organization of care, combined with the Satisfaction and Compassion Fatigue Test and a collection of narratives. Descriptive statistics of the quantitative data were integrated with the results obtained by the narrative medicine methods of analysis. RESULTS: Most of the practitioners were neurologists, 46 average years old, 69% women, 43% part time dedicated to multiple sclerosis. An increased number of patients in the last 3 years were referred in 29 centres. Differences were found between neurologists and nurses. Physicians showed higher risks of burnout, reporting intensive working paces, lack of medical personnel, and anxiety caused by the precarious employment conditions. Nurses appeared more satisfied, although the reference to the lack of spaces, and the cross professional roles risk of compassion fatigue. Both positive and negative relationships of care were depicted as influencing the professional quality of life. CONCLUSION: The interviewed neurological teams need to limit the risk of compassion fatigue, which appeared from the first years of the career. The prevalence of the risk among neurologists suggests more awareness among scientific societies and health care managers on the risk for this category, as first step to prevent it.

Fake news, influencers and health-related professional participation on the Web: A pilot study on a social-network of people with Multiple Sclerosis.

BACKGROUND: Over the last few decades, patients have increasingly been searching for health information on the Internet. This aspect of information seeking is important, especially for people affected by chronic pathologies and require lifelong treatment and management. These people are usually very well informed about the disease but are nonetheless vulnerable to hopes of being cured or saved, often amplified by misinformation, myths, legends, and therapies that are not always scientifically proven. Many studies suggest that some individuals prefer to rely on the Internet as their main source of information, often hindering the patient-doctor relationship. A professional approach is imperative to maintain confidentiality, honesty, and trust in the medical profession. OBJECTIVE: we aimed to examine, in a medically supervised Italian web community (SMsocialnetwotk.com) dedicated to people with Multiple Sclerosis (pwMS), the posts shared by users and to verify the reliability of contents of posts shared by users pinpointed as Influencers through an online questionnaire. METHODS: we grouped the posts published on SMsocialnetwork from April to June 2015 into those with medical content (scientifically correct or fake news), and those related to social interactions. Later, we gave a questionnaire to the community asking to identify the three users/Influencers providing the most reliable advice for everyday life with MS and the three users/Influencers providing the most useful information about MS treatments. RESULTS: 308 posts reported scientific and relevant medical information, whereas 72 posts included pieces of fake news. 1420 posts were of general interest. Four out of the 6 Influencers had written only posts with correct medical information (3 were pwMS, 1 was a Neurologist) and never any fake news. The remaining 2 appointed Influencers (2 pwMS) had written only posts about general interests. CONCLUSION: the identification of fake news and their authors has shown that the latter are never appointed as Influencers. SMsocialnetwork.com acted as a "web safe environment" where the Influencers contributed by sharing only correct medical information and never fake news. We speculate that the presence of neurologists and psychologists supervising the information flow might have contributed to reduce the risk of fake news spreading and to avoid their acquisition of authoritative meaning.

Default mode network changes in multiple sclerosis: a link between depression and cognitive impairment?

BACKGROUND AND PURPOSE: In multiple sclerosis (MS), depression is a common disorder whose pathophysiology is still debated. To gain insights into the pathophysiology of depression in MS, resting-state (RS) functional connectivity (FC) changes of the default mode network (DMN), salience network (SN) and executive control network (ECN) were assessed in a group of depressed MS (D-MS) patients and in appropriately matched control groups. METHODS: Sixteen D-MS patients, 17 non-depressed MS (ND-MS) patients, 17 non-depressed healthy controls and 15 depressed subjects (D-S), age, sex and education matched, cognitively preserved and non-fatigued, were enrolled. All participants underwent a neuropsychological evaluation and RS functional magnetic resonance imaging study. RESULTS: Comparing D-MS patients with D-S, within the DMN, a significant RS-FC suppression was found in the posterior cingulate cortex (PCC); comparing D-MS with ND-MS, FC was significantly increased in the anterior cingulate cortex and significantly reduced in the PCC. Within the SN increased FC in the right supramarginal gyrus and right middle frontal gyrus was found in D-MS patients compared to D-S and to ND-MS; within the ECN increased FC in the right inferior parietal cortex was found in D-MS patients compared to ND-MS patients. CONCLUSIONS: In cognitively preserved D-MS patients, FC derangement occurs in the SN, ECN and DMN. In the latter, changes occurring both in the anterior cingulate cortex and PCC suggest that depression in MS may be linked to MS itself and, in particular, to a peculiar pattern of network abnormalities favored by MS pathology through disconnection mechanisms. Reduced FC in the PCC, similar to MS patients with cognitive impairment, suggests a functional link between depression and cognitive impairment in MS.

Hippocampal and Deep Gray Matter Nuclei Atrophy Is Relevant for Explaining Cognitive Impairment in MS: A Multicenter Study.

BACKGROUND AND PURPOSE: The structural MR imaging correlates of cognitive impairment in multiple sclerosis are still debated. This study assessed lesional and atrophy measures of white matter and gray matter involvement in patients with MS acquired in 7 European sites to identify the MR imaging variables most closely associated with cognitive dysfunction. MATERIALS AND METHODS: Brain dual-echo, 3D T1-weighted, and double inversion recovery scans were acquired at 3T from 62 patients with relapsing-remitting MS and 65 controls. Patients with at least 2 neuropsychological tests with abnormal findings were considered cognitively impaired. Focal WM and cortical lesions were identified, and volumetric measures from WM, cortical GM, the hippocampus, and deep GM nuclei were obtained. Age- and site-adjusted models were used to compare lesion and volumetric MR imaging variables between patients with MS who were cognitively impaired and cognitively preserved. A multivariate analysis identified MR imaging variables associated with cognitive scores and disability. RESULTS: Twenty-three patients (38%) were cognitively impaired. Compared with those with who were cognitively preserved, patients with MS with cognitive impairment had higher T2 and T1 lesion volumes and a trend toward a higher number of cortical lesions. Significant brain, cortical GM, hippocampal, deep GM nuclei, and WM atrophy was found in patients with MS with cognitive impairment versus those who were cognitively preserved. Hippocampal and deep GM nuclei atrophy were the best predictors of cognitive impairment, while WM atrophy was the best predictor of disability. CONCLUSIONS: Hippocampal and deep GM nuclei atrophy are key factors associated with cognitive impairment in MS. These MR imaging measures could be applied in a multicenter context, with cognition as clinical outcome.

A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.

BACKGROUND AND PURPOSE: The automatic segmentation of MS lesions could reduce time required for image processing together with inter- and intraoperator variability for research and clinical trials. A multicenter validation of a proposed semiautomatic method for hyperintense MS lesion segmentation on dual-echo MR imaging is presented. MATERIALS AND METHODS: The classification technique used is based on a region-growing approach starting from manual lesion identification by an expert observer with a final segmentation-refinement step. The method was validated in a cohort of 52 patients with relapsing-remitting MS, with dual-echo images acquired in 6 different European centers. RESULTS: We found a mathematic expression that made the optimization of the method independent of the need for a training dataset. The automatic segmentation was in good agreement with the manual segmentation (dice similarity coefficient = 0.62 and root mean square error = 2 mL). Assessment of the segmentation errors showed no significant differences in algorithm performance between the different MR scanner manufacturers (P > .05). CONCLUSIONS: The method proved to be robust, and no center-specific training of the algorithm was required, offering the possibility for application in a clinical setting. Adoption of the method should lead to improved reliability and less operator time required for image analysis in research and clinical trials in MS.

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

OBJECTIVE: The aims of the present study were to examine psychometric properties of the Spielberger State-Trait Anxiety Inventory (STAI-Y-1 and STAI-Y-2, respectively) in a Multiple Sclerosis (MS) population and to identify a cut-off score to detect those MS patients with high level of state and/or trait anxiety who could be more vulnerable to development of depression and/or cognitive defects. MATERIAL AND METHODS: The STAI-Y-1 and STAI-Y-2 was completed by a group of patients (n = 175) affected by MS and a group of healthy subjects (n = 150) matched for age, educational level, and gender. In MS patients internal consistency, divergent and discriminant validities were evaluated. Construct validity was examined by exploratory factor analysis for each scale. RESULTS: There was no missing data, no floor or ceiling effects for both scales. The two scales showed high internal consistency, good divergent, and Known-groups validities. To identify high levels of state and trait anxiety in a patient with MS, we proposed three gender specific screening cut-off values (1, 1.5, 2 SD) for the STAI-Y-1 and the STAI-Y-2. CONCLUSIONS: The findings showed that the STAI-Y-1 and the STAI-Y-2 are a valid tool for clinical use in MS patients and can be useful to measure the severity of anxiety and to identify those patients with high anxiety to introduce them in specific non-pharmacological intervention.

Psychometric properties and validity of Beck Depression Inventory II in multiple sclerosis.

BACKGROUND AND PURPOSE: Depression is the most common psychiatric disorder in multiple sclerosis (MS). Self-report depression scales are frequently used as screening, diagnostic and grading instruments. This study investigated the psychometric properties of the Beck Depression Inventory second edition (BDI-II) for assessing depressive disorders in a sample of Italian MS patients. METHODS: The sample included 141 consecutive non-demented MS patients who completed the BDI-II and the Chicago Multiscale Depression Inventory (CMDI). MS patients also completed a clinical interview, a neurological/neuropsychological examination and a Fatigue Severity Score (FSS) questionnaire in order to assess divergent validity. RESULTS: The BDI-II showed good internal consistency (Cronbach's alpha 0.89) and good convergent and divergent validity. With respect to CMDI serving as the 'gold standard', the receiver operating characteristic curve revealed that BDI-II is an adequate diagnostic measure and that the optimum total cut-off score was 18.5. Such score identified clinically relevant depressive symptoms in 25.5% of our MS sample. CONCLUSIONS: The BDI-II is a simple, reliable and valid tool for detecting and grading depressive symptoms in Italian MS patients.

Cognitive impairment and memory disorders in relapsing-remitting multiple sclerosis: the role of white matter, gray matter and hippocampus.

Cognitive disorders occur in up to 65 % of multiple sclerosis (MS) patients; they have been correlated with different MRI measures of brain tissue damage, whole and regional brain atrophy. The hippocampal involvement has been poorly investigated in cognitively impaired (CI) MS patients. The objective of this study is to analyze and compare brain tissue abnormalities, including hippocampal atrophy, in relapsing-remitting MS (RRMS) patients with and without cognitive deficits, and to investigate their role in determining cognitive impairment in MS. Forty-six RRMS patients [20 CI and 26 cognitively preserved (CP)] and 25 age, sex and education-matched healthy controls (HCs) underwent neuropsychological evaluation and 3-Tesla anatomical MRI. T2 lesion load (T2-LL) was computed with a semiautomatic method, gray matter volume and white matter volume were estimated using SIENAX. Hippocampal volume (HV) was obtained by manual segmentation. Brain tissues volumes were compared among groups and correlated with cognitive performances. Compared to HCs, RRMS patients had significant atrophy of WM, GM, left and right Hippocampus (p < 0.001). Compared to CP, CI RRMS patients showed higher T2-LL (p = 0.02) and WM atrophy (p = 0.01). In the whole RRMS group, several cognitive tests correlated with brain tissue abnormalities (T2-LL, WM and GM atrophy); only verbal memory performances correlated with left hippocampal atrophy. Our results emphasize the role of T2-LL and WM atrophy in determining clinically evident cognitive impairment in MS patients and provide evidence that GM and hippocampal atrophy occur in MS patients regardless of cognitive status.

Computer-aided cognitive rehabilitation improves cognitive performances and induces brain functional connectivity changes in relapsing remitting multiple sclerosis patients: an exploratory study.

To better understand the effects of short-term computer-based cognitive rehabilitation (cCR) on cognitive performances and default mode network (DMN) intrinsic functional connectivity (FC) in cognitively impaired relapsing remitting (RR) multiple sclerosis (MS) patients. Eighteen cognitively impaired RRMS patients underwent neuropsychological evaluation by the Rao's brief repeatable battery and resting-state functional magnetic resonance imaging to evaluate FC of the DMN before and after a short-term (8 weeks, twice a week) cCR. A control group of 14 cognitively impaired RRMS patients was assigned to an aspecific cognitive training (aCT), and underwent the same study protocol. Correlations between DMN and cognitive performances were also tested. After cCR, there was a significant improvement of the following tests: SDMT (p < 0.01), PASAT 3" (p < 0.00), PASAT 2" (p < 0.03), SRT-D (p < 0.02), and 10/36 SPART-D (p < 0.04); as well as a significant increase of the FC of the DMN in the posterior cingulate cortex (PCC) and bilateral inferior parietal cortex (IPC). After cCR, a significant negative correlation between Stroop Color-Word Interference Test and FC in the PCC emerged. After aCT, the control group did not show any significant effect either on FC or neuropsychological tests. No significant differences were found in brain volumes and lesion load in both groups when comparing data acquired at baseline and after cCR or aCT. In cognitively impaired RRMS patients, cCR improves cognitive performances (i.e., processing speed and visual and verbal sustained memory), and increases FC in the PCC and IPC of the DMN. This exploratory study suggests that cCR may induce adaptive cortical reorganization favoring better cognitive performances, thus strengthening the value of cognitive exercise in the general perspective of building either cognitive or brain reserve.