Literature DB >> 33800075

Isolated Cognitive Decline in Neurologically Stable Patients with Multiple Sclerosis.

Jiri Motyl1, Lucie Friedova1, Manuela Vaneckova2, Jan Krasensky2, Balazs Lorincz1, Jana Blahova Dusankova1, Michaela Andelova1, Tom A Fuchs3, Eva Kubala Havrdova1, Ralph H B Benedict3, Dana Horakova1, Tomas Uher1.   

Abstract

(1) Background: Cognitive deterioration is an important marker of disease activity in multiple sclerosis (MS). It is vital to detect cognitive decline as soon as possible. Cognitive deterioration can take the form of isolated cognitive decline (ICD) with no other clinical signs of disease progression present. (2)
Methods: We investigated 1091 MS patients from the longitudinal GQ (Grant Quantitative) study, assessing their radiological, neurological, and neuropsychological data. Additionally, the confirmatory analysis was conducted. Clinical disease activity was defined as the presence of new relapse or disability worsening. MRI activity was defined as the presence of new or enlarged T2 lesions on brain MRI. (3)
Results: Overall, 6.4% of patients experienced cognitive decline and 4.0% experienced ICD without corresponding clinical activity. The vast majority of cognitively worsening patients showed concomitant progression in other neurological and radiologic measures. There were no differences in disease severity between completely stable patients and cognitively worsening patients but with normal cognition at baseline. (4) Conclusions: Only a small proportion of MS patients experience ICD over short-term follow-up. Patients with severe MS are more prone to cognitive decline; however, patients with normal cognitive performance and mild MS might benefit from the early detection of cognitive decline the most.

Entities:  

Keywords:  MRI; cognition; cognitive decline; disability; disease activity monitoring; isolated cognitive decline; multiple sclerosis; relapse

Year:  2021        PMID: 33800075      PMCID: PMC7999620          DOI: 10.3390/diagnostics11030464

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  36 in total

1.  Clinical significance: a statistical approach to defining meaningful change in psychotherapy research.

Authors:  N S Jacobson; P Truax
Journal:  J Consult Clin Psychol       Date:  1991-02

2.  Isolated cognitive relapses in multiple sclerosis.

Authors:  Matteo Pardini; Antonio Uccelli; Jordan Grafman; Özgür Yaldizli; Gianluigi Mancardi; Luca Roccatagliata
Journal:  J Neurol Neurosurg Psychiatry       Date:  2014-03-31       Impact factor: 10.154

Review 3.  Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis.

Authors:  Maria A Rocca; Maria P Amato; Nicola De Stefano; Christian Enzinger; Jeroen J Geurts; Iris-K Penner; Alex Rovira; James F Sumowski; Paola Valsasina; Massimo Filippi
Journal:  Lancet Neurol       Date:  2015-02-04       Impact factor: 44.182

4.  The Need for Screening, Assessment, and Treatment for Cognitive Dysfunction in Multiple Sclerosis: Results of a Multidisciplinary CMSC Consensus Conference, September 24, 2010.

Authors:  Frederick W Foley; Ralph H B Benedict; Elizabeth S Gromisch; John Deluca
Journal:  Int J MS Care       Date:  2012

5.  No evidence of disease activity in multiple sclerosis: Implications on cognition and brain atrophy.

Authors:  Alfredo Damasceno; Benito Pereira Damasceno; Fernando Cendes
Journal:  Mult Scler       Date:  2015-10-02       Impact factor: 6.312

Review 6.  Multiple sclerosis and cognition: synaptic failure and network dysfunction.

Authors:  Massimiliano Di Filippo; Emilio Portaccio; Andrea Mancini; Paolo Calabresi
Journal:  Nat Rev Neurosci       Date:  2018-10       Impact factor: 34.870

7.  Predicting loss of employment over three years in multiple sclerosis: clinically meaningful cognitive decline.

Authors:  Sarah A Morrow; Allison Drake; Robert Zivadinov; Frederick Munschauer; Bianca Weinstock-Guttman; Ralph H B Benedict
Journal:  Clin Neuropsychol       Date:  2010-09-08       Impact factor: 3.535

8.  Slowed articulation rate is associated with information processing speed decline in multiple sclerosis: A pilot study.

Authors:  Lucie Friedova; Jan Rusz; Jiri Motyl; Barbora Srpova; Karolina Vodehnalova; Michaela Andelova; Klara Novotna; Michal Novotny; Hana Ruzickova; Tereza Tykalova; Eva Kubala Havrdova; Dana Horakova; Tomas Uher
Journal:  J Clin Neurosci       Date:  2019-05-06       Impact factor: 1.961

9.  Predicting cognitive decline in multiple sclerosis: a 5-year follow-up study.

Authors:  Anand J C Eijlers; Quinten van Geest; Iris Dekker; Martijn D Steenwijk; Kim A Meijer; Hanneke E Hulst; Frederik Barkhof; Bernard M J Uitdehaag; Menno M Schoonheim; Jeroen J G Geurts
Journal:  Brain       Date:  2018-09-01       Impact factor: 13.501

Review 10.  Multiple sclerosis: clinical profiling and data collection as prerequisite for personalized medicine approach.

Authors:  Tjalf Ziemssen; Raimar Kern; Katja Thomas
Journal:  BMC Neurol       Date:  2016-08-02       Impact factor: 2.474

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  1 in total

1.  Editorial of Special Issue "Multiple Sclerosis: From Diagnostic Biomarkers to Imaging and Clinical Predictors".

Authors:  Dejan Jakimovski; Robert Zivadinov
Journal:  Diagnostics (Basel)       Date:  2022-02-13
  1 in total

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