Literature DB >> 16459723

Cognitive dysfunction in patients with relapsing-remitting multiple sclerosis.

U Nocentini1, P Pasqualetti, S Bonavita, M Buccafusca, M F De Caro, D Farina, P Girlanda, F Le Pira, A Lugaresi, A Quattrone, A Reggio, G Salemi, G Savettieri, G Tedeschi, M Trojano, P Valentino, C Caltagirone.   

Abstract

Cognitive dysfunction is considered one of the clinical markers of multiple sclerosis (MS). However, in the literature there are inconsistent reports on the prevalence of cognitive dysfunction, and separate data for the relapsing-remitting (RR) type of the disease are not always presented. In this study, we submitted 461 RRMS patients to a battery of neuropsychological tests to investigate their impairment in various cognitive domains. As a consequence of the exclusion criteria, the sample is not fully representative of the entire population of RRMS patients. In this selected sample, when only the eight scores of a core battery (Mental Deterioration Battery) were considered (with respective cutoffs), it emerged that 31% of the patients were affected by some degree of cognitive deficit. In particular, 15% had mild, 11.2% moderate and 4.8% had severe impairment. Information processing speed was the most frequently impaired area, followed by memory. When two other tests (SDMT and MCST) were added and cognitive domains were considered, it emerged that 39.3% of the patients were impaired in two or more domains. When four subgroups were obtained by means of cluster analysis and then compared, it emerged that information processing speed and memory deficits differentiated the still cognitively unimpaired from the mildly impaired MS patients. Significant associations were found between cognitive and clinical characteristics. However, due to the large sample size, clinically irrelevant relationships may also have emerged. Even with the limitations imposed by the sample selection and the possible underestimation of the prevalence and severity of cognitive dysfunction, these results seem to provide further evidence that information processing speed deficit may be an early and important marker of cognitive impairment in MS patients.

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Year:  2006        PMID: 16459723     DOI: 10.1191/135248506ms1227oa

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  26 in total

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2.  Progress in multiple sclerosis research in the last year.

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3.  Neuropsychiatric manifestations of multiple sclerosis.

Authors:  Laura C Politte; Jeff C Huffman; Theodore A Stern
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4.  The relationship between cognitive function and high-resolution diffusion tensor MRI of the cingulum bundle in multiple sclerosis.

Authors:  Katherine A Koenig; Ken E Sakaie; Mark J Lowe; Jian Lin; Lael Stone; Robert A Bermel; Erik B Beall; Stephen M Rao; Bruce D Trapp; Micheal D Phillips
Journal:  Mult Scler       Date:  2015-06-23       Impact factor: 6.312

Review 5.  Risk factors for and management of cognitive dysfunction in multiple sclerosis.

Authors:  Ralph H B Benedict; Robert Zivadinov
Journal:  Nat Rev Neurol       Date:  2011-05-10       Impact factor: 42.937

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7.  Adverse working events in patients with multiple sclerosis.

Authors:  Chiara Concetta Incerti; Ornella Argento; Giuseppe Magistrale; Elisabetta Ferraro; Carlo Caltagirone; Valerio Pisani; Ugo Nocentini
Journal:  Neurol Sci       Date:  2016-10-19       Impact factor: 3.307

8.  Functional brain network changes associated with maintenance of cognitive function in multiple sclerosis.

Authors:  Santosh A Helekar; Jae C Shin; Brandi J Mattson; Krystle Bartley; Milena Stosic; Toni Saldana-King; P Read Montague; George J Hutton
Journal:  Front Hum Neurosci       Date:  2010-11-22       Impact factor: 3.169

9.  Validity of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS) in the Italian population.

Authors:  Simone Migliore; Anna Ghazaryan; Ilaria Simonelli; Patrizio Pasqualetti; Doriana Landi; Maria Giuseppina Palmieri; Filomena Moffa; Pasquale Rinaldi; Fabrizio Vernieri; Maria Maddalena Filippi
Journal:  Neurol Sci       Date:  2016-04-20       Impact factor: 3.307

10.  Contribution of symptom clusters to multiple sclerosis consequences.

Authors:  Shahnaz Shahrbanian; Pierre Duquette; Ayse Kuspinar; Nancy E Mayo
Journal:  Qual Life Res       Date:  2014-09-17       Impact factor: 4.147

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