Dry needling for treating spasticity in multiple sclerosis.

[Purpose] The aim of the study is to evaluate the efficacy of dry needling (DN) in the treatment of spasticity in patients with multiple sclerosis (MS). [Participants and Methods] Twelve participants (3 males and 9 females) with MS, with no evidence of a relapse in the last four weeks and with an EDSS (Expanded Disability Status Scale) greater than 2.5 points (related with pyramidal score) were recruited. DN was performed in lower limbs for 12 consecutive sessions and evaluated with: PSFS (Penn Spasm Frequency Scale), VAS (visual analogical scale) of spasticity, EDSS (Pyramidal item), Time up and go (TUG), 25 foot, 9hold peg test (9HPT) and the improvement or not in the quality of life (MSQol54) was verified before and after treatment. A follow up visit was carried out to assess improvement. [Results] All patients improved in: VAS scale, EDSS score, quality of life, 9HPT, 25 foot test and TUG and 90% of them showed a decrease in the number of spasms/hour (PSFS). [Conclusion] Dry needling produces positive changes in spasticity in patients with MS and their quality of life, as well as walking capacity and manual dexterity. Therefore, DN should be considered in the treatment of spasticity in patients with MS.

Can fibrinolytic system components explain cognitive impairment in multiple sclerosis?

BACKGROUND: The fibrinolytic system is capable of modulating inflammatory and degenerative events within the central nervous system. Specifically, the plasminogen activator inhibitor-1 (PAI-1) has been associated with different pathological conditions in multiple sclerosis (MS) and its role in cognitive functioning is also known. OBJECTIVES AND METHODS: To study the association between plasma levels and the polymorphic variants of the PAI-1 gene and cognitive performance in MS. 176 patients were studied. Neuropsychological evaluation was performed with the Brief Repeatable Battery of Neuropsychological Tests (BRB-N). A Polymerase Chain Reaction (PCR) was used to determine PAI-1 4G/5G polymorphisms and quantification was performed using an Enzyme-Linked ImmunoSorbent Assay (ELISA). RESULTS: Participants were categorized as not cognitively impaired (NCI; n=114) and cognitively impaired (CI; n=62). The NCI group had a higher percentage of heterozygous subjects but no statistical differences were found between the CI and NCI group. Neuropsychological functioning did not correlate with plasma levels of PAI-1 or its genetic polymorphism. It is noteworthy that PAI-1 plasma levels were related to neurological impairment. DISCUSSION: Cognitive impairment in MS is due to strategic focal lesions affecting regions and tracts involved in cognitive processes and to diffuse damage in the white and gray matter. This complex etiology could explain the absence of a relationship between the cognitive functioning and PAI-1 in patients with MS that has been found in vascular dementia or Alzheimer's disease. Plasma curves of PAI-1 and its measures in cerebrospinal fluid could help elucidate the role of PAI-1 in MS.

Efficacy of a short cognitive training program in patients with multiple sclerosis.

BACKGROUND: Cognitive impairment is a common feature in multiple sclerosis (MS) and may have a substantial impact on quality of life. Evidence about the effectiveness of neuropsychological rehabilitation is still limited, but current data suggest that computer-assisted cognitive training improves cognitive performance. OBJECTIVE: The objective of this study was to evaluate the efficacy of combined computer-assisted training supported by home-based neuropsychological training to improve attention, processing speed, memory and executive functions during 3 consecutive months. METHODS: In this randomized controlled study blinded for the evaluators, 62 MS patients with clinically stable disease and mild-to-moderate levels of cognitive impairment were randomized to receive a computer-assisted neuropsychological training program (n=30) or no intervention (control group [CG]; n=32). The cognitive assessment included the Brief Repeatable Battery of Neuropsychological Test. Other secondary measures included subjective cognitive impairment, anxiety and depression, fatigue and quality of life measures. RESULTS: The treatment group (TG) showed significant improvements in measures of verbal memory, working memory and phonetic fluency after intervention, and repeated measures analysis of covariance revealed a positive effect in most of the functions. The control group (CG) did not show changes. The TG showed a significant reduction in anxiety symptoms and significant improvement in quality of life. There were no improvements in fatigue levels and depressive symptoms. CONCLUSION: Cognitive intervention with a computer-assisted training supported by home training between face-to-face sessions is a useful tool to treat patients with MS and improve functions such as verbal memory, working memory and phonetic fluency.

Cognitive status in patients with multiple sclerosis in Lanzarote.

OBJECTIVES: Cognitive impairment is a common feature in multiple sclerosis affecting ~43%-72% of patients, which involves cognitive functions such as memory, processing speed, attention, and executive function. The aim of this study was to describe the extent and pattern of the involvement of cognitive impairment and psychological status in all patients with multiple sclerosis on a small Spanish island. PATIENTS AND METHODS: In all, 70 patients and 56 healthy controls were included in the study between February 2013 and May 2013. All participants were assessed using the Brief Repeatable Battery of Neuropsychological Test. The patients also completed instruments to evaluate the presence of fatigue, perceived cognitive dysfunction, and symptoms of anxiety and depression. All procedures were performed in a single session. RESULTS: Cognitive impairment, defined as a score <1.5 standard deviation on two subtests of the battery, was present in 35% of the participants. The most frequently affected domain was working memory, followed by verbal memory and processing speed. Disease duration showed a moderate correlation with visuospatial memory and processing speed. The Expanded Disability Status Scale score correlated with verbal and processing speed. Verbal memory was correlated with depression symptoms and fatigue. CONCLUSION: Cognitive impairment was present in 35% of the study population. The most affected domains were working memory and verbal memory. Working memory and verbal fluency deficit are independent factors of disease evolution. Cognitive decline is related to clinical variables and psychological measures such as fatigue or depression but not to anxiety.

Low Prevalence of Sleep Disorders in Demyelinating Disease in a Northern Tenerife Population.

STUDY OBJECTIVES: Sleep disorders are seen in patients with demyelinating disease (DD) more often than in the general population. Combination of physical and psychological factors such as pain, spasms, nocturia, depression, anxiety, or medication effects could contribute to sleep disruption. Frequently, these disturbances have a major impact on health and quality of life of patients. The aim of this study was to estimate the prevalence of sleep disorders in patients seen in the DD consultation. METHODS: 240 patients; mean age 43 years, 187 women; 163 patients with multiple sclerosis (MS): 144 relapsing-remitting, 19 progressive forms, 36 clinically isolated syndrome, 26 radiological isolated syndrome, and 15 patients with others DD. All participants completed questionnaires: Pittsburgh, Epworth, and Stanford scales, indirect symptoms of RLS and Obstructive Sleep Apnea, Fatigue Severity Scale, and Multiple Sclerosis Quality of Life-54. RESULTS: Moderate/severe insomnia 12.5%, OSA 5.8%, RLS 9.6% (confirmed 3 cases), narcolepsy 0, fatigue (> 4) 24.6%. Physical QoL 66.6 ± 19.6, Mental QoL 66.1 ± 21.9. Patients with an established diagnosis showed higher scores on insomnia compared to the group of CIS and RIS (F = 3.85; p = 0.023), no differences were in the other parameters. Fatigue showed high correlation with insomnia (r = 0.443; p < 0.001), RLS (r = 0.513; p < 0.001), and sleepiness (r = 0.211; p = 0.001). None of the variables included in the regression model were shown to be predictors of Physical and Mental QoL. CONCLUSIONS: A high percentage of our sample sleeps well. Emphasize the low prevalence of sleep disorders (insomnia, fatigue, RLS, etc). We detected an overestimation in the RLS questionnaire and the low QoL recorded.