scholarly journals Phonological Fluency Strategy of Switching Differentiates Relapsing-Remitting and Secondary Progressive Multiple Sclerosis Patients

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
L. Messinis ◽  
M. H. Kosmidis ◽  
C. Vlahou ◽  
A. C. Malegiannaki ◽  
G. Gatzounis ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Verbal Fluency ◽  
Progressive Multiple Sclerosis ◽  
Word Production ◽  
Secondary Progressive Multiple Sclerosis ◽  
Healthy Controls ◽  
Secondary Progressive ◽  
Relapsing Remitting ◽  
Multiple Sclerosis Patients ◽  
Fluency Task

The strategies used to perform a verbal fluency task appear to be reflective of cognitive abilities necessary for successful daily functioning. In the present study, we explored potential differences in verbal fluency strategies (switching and clustering) used to maximize word production by patients with relapsing-remitting multiple sclerosis (RRMS) versus patients with secondary progressive multiple sclerosis (SPMS). We further assessed impairment rates and potential differences in the sensitivity and specificity of phonological versus semantic verbal fluency tasks in discriminating between those with a diagnosis of MS and healthy adults. We found that the overall rate of impaired verbal fluency in our MS sample was consistent with that in other studies. However, we found no differences between types of MS (SPMS, RRMS), on semantic or phonological fluency word production, or the strategies used to maximize semantic fluency. In contrast, we found that the number of switches differed significantly in the phonological fluency task between the SPMS and RRMS subtypes. The clinical utility of semantic versus phonological fluency in discriminating MS patients from healthy controls did not indicate any significant differences. Further, the strategies used to maximize performance did not differentiate MS subgroups or MS patients from healthy controls.

scholarly journals Onset of secondary progressive multiple sclerosis is not influenced by current relapsing multiple sclerosis therapies

2018 ◽  
Vol 4 (2) ◽  
pp. 205521731878334 ◽  
Author(s):  
Francisco Coret ◽  
Francisco C Pérez-Miralles ◽  
Francisco Gascón ◽  
Carmen Alcalá ◽  
Arantxa Navarré ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Progressive Multiple Sclerosis ◽  
Secondary Progressive Multiple Sclerosis ◽  
Secondary Progressive ◽  
Disease Modifying Therapies ◽  
Relapsing Remitting ◽  
Disease Modifying ◽  
Remitting Multiple Sclerosis ◽  
Multiple Sclerosis Patients ◽  
Relapsing Remitting Multiple Sclerosis

Background Disease-modifying therapies are thought to reduce the conversion rate to secondary progressive multiple sclerosis. Objective To explore the rate, chronology, and contributing factors of conversion to the progressive phase in treated relapsing–remitting multiple sclerosis patients. Methods Our study included 204 patients treated for relapsing–remitting multiple sclerosis between 1995 and 2002, prospectively followed to date. Kaplan–Meier analysis was applied to estimate the time until secondary progressive multiple sclerosis conversion, and multivariate survival analysis with a Cox regression model was used to analyse prognostic factors. Results Relapsing–remitting multiple sclerosis patients were continuously treated for 13 years (SD 4.5); 36.3% converted to secondary progressive multiple sclerosis at a mean age of 42.6 years (SD 10.6), a mean time of 8.2 years (SD 5.2) and an estimated mean time of 17.2 years (range 17.1–18.1). A multifocal relapse, age older than 34 years at disease onset and treatment failure independently predicted conversion to secondary progressive multiple sclerosis but did not influence the time to reach an Expanded Disability Status Scale of 6.0. Conclusions The favourable influence of disease-modifying therapies on long-term disability in relapsing–remitting multiple sclerosis is well established. However, the time to progression onset and the subsequent clinical course in treated patients seem similar to those previously reported in natural history studies. More studies are needed to clarify the effect of disease-modifying therapies once the progressive phase has been reached.

scholarly journals Monitoring cognitive change in multiple sclerosis using a computerized cognitive battery

2018 ◽  
Vol 4 (4) ◽  
pp. 205521731881551 ◽  
Author(s):  
L De Meijer ◽  
D Merlo ◽  
O Skibina ◽  
EJ Grobbee ◽  
J Gale ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Change ◽  
Progressive Multiple Sclerosis ◽  
Healthy Controls ◽  
Relapsing Remitting ◽  
Remitting Multiple Sclerosis ◽  
Serial Addition ◽  
Multiple Sclerosis Patients ◽  
Relapsing Remitting Multiple Sclerosis ◽  
Cognitive Monitoring

Background Cognitive monitoring that can detect short-term change in multiple sclerosis is challenging. Computerized cognitive batteries such as the CogState Brief Battery can rapidly assess commonly affected cognitive domains. Objectives The purpose of this study was to establish the acceptability and sensitivity of the CogState Brief Battery in multiple sclerosis patients compared to controls. We compared the sensitivity of the CogState Brief Battery to that of the Paced Auditory Serial Addition Test over 12 months. Methods Demographics, Expanded Disability Status Scale scores, depression and anxiety scores were compared with CogState Brief Battery and Paced Auditory Serial Addition Test performances of 51 patients with relapsing–remitting multiple sclerosis, 19 with secondary progressive multiple sclerosis and 40 healthy controls. Longitudinal data in 37 relapsing–remitting multiple sclerosis patients were evaluated using linear mixed models. Results Both the CogState Brief Battery and the Paced Auditory Serial Addition Test discriminated between multiple sclerosis and healthy controls at baseline ( p<0.001). CogState Brief Battery tasks were more acceptable and caused less anxiety than the Paced Auditory Serial Addition Test ( p<0.001). In relapsing–remitting multiple sclerosis patients, reaction time slowed over 12 months ( p<0.001) for the CogState Brief Battery Detection (mean change –34.23 ms) and Identification (–25.31 ms) tasks. Paced Auditory Serial Addition Test scores did not change over this time. Conclusions The CogState Brief Battery is highly acceptable and better able to detect cognitive change than the Paced Auditory Serial Addition Test. The CogState Brief Battery could potentially be used as a practical cognitive monitoring tool in the multiple sclerosis clinic setting.

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