Objectives: To characterize the cognitive abilities of patients with primary progressive multiple sclerosis (PPMS) and relapsing-remitting multiple sclerosis (RRMS) compared with healthy controls (HCs) matched for age, sex, and education level while considering the different characteristics of PPMS and RRMS and to compare the cognitive patterns of these types of multiple sclerosis.
Methods: Forty-one patients with PPMS, 60 patients with RRMS, and 415 HCs were recruited in a cross-sectional study. Controls were divided into 20 groups according to age, sex, and education level. Participants were assessed with a large battery of neuropsychological (NP) tests that included a modified version of the Brief Repeatable Battery, the Stroop test, computerized tests from the Test of Attentional Performance battery, the numerical span test, and the Rey Complex Figure.
Results: Patients with PPMS performed worse than their matched HCs on nearly all NP tests. Patients with RRMS performed worse than matched HCs on a computerized digit-symbol substitution task and the alertness test, reaction time for visual scanning, and Paced-Auditory Serial Addition Test-3 seconds. Patients with PPMS had worse NP scores and were more impaired in cognitive domains than patients with RRMS. After controlling for Expanded Disability Status Scale score, the results remained unchanged.
Conclusion: The patients with PPMS presented with a wide range of cognitive deficits in information processing speed, attention, working memory, executive function, and verbal episodic memory, whereas the impairments in patients with RRMS were limited to information processing speed and working memory compared with their matched HCs. Cognitive deficits were more severe in patients with PPMS than in patients with RRMS.
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http://dx.doi.org/10.1212/WNL.0b013e31828cf82f | DOI Listing |
Medicina (Kaunas)
January 2025
Department of Neurology, Faculty of Medicine, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Early-onset MS (EOMS) and late-onset MS (LOMS) differ in terms of symptom presentation, disease progression, and disability outcomes. This study aims to evaluate the clinical characteristics of patients with EOMS and LOMS in Lithuania. A retrospective analysis of patients' medical records was conducted at the Lithuanian University of Health Sciences, Kaunas Clinics Department of Neurology.
View Article and Find Full Text PDFBiomolecules
January 2025
Department of Neurology, Medical University of Lodz, Kopcinskiego 22, 90-153 Lodz, Poland.
Despite significant efforts, there is still an existing need to identify diagnostic tools that would enable fast and reliable detection of the progressive stage of multiple sclerosis (MS) and help in monitoring the disease course and/or treatment effects. The aim of this prospective study in a group of people with progressive MS was to determine whether changes in the levels of selected serum biomarkers and in cognitive function may predict disease progression, and therefore refine the decision-making process in the evaluation of MS patients. Forty two (42) patients with progressive MS completed all the study procedures; the mean duration of follow-up was 12.
View Article and Find Full Text PDFJ Cardiovasc Electrophysiol
January 2025
Oxford Heart Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Background: Permanent pacemaker (PPM) implantation is a commonly performed procedure. Patients increasingly use the Internet for information on medical interventions. We aimed to assess the quality of videos discussing PPM implantation on YouTube for patient consumption.
View Article and Find Full Text PDFBrain Commun
January 2025
Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan 5262, Israel.
Primary progressive multiple sclerosis (PPMS) affects 10-15% of multiple sclerosis patients and presents significant variability in the rate of disability progression. Identifying key biological features and patients at higher risk for fast progression is crucial to develop and optimize treatment strategies. Peripheral blood cell transcriptome has the potential to provide valuable information to predict patients' outcomes.
View Article and Find Full Text PDFBrain Commun
December 2024
Department of Health Sciences (DISSAL), Università di Genova, 16132 Genoa, Italy.
This study applies the Gaussian process progression model, a Bayesian data-driven disease progression model, to analyse the evolution of primary progressive multiple sclerosis. Utilizing data from 1521 primary progressive multiple sclerosis participants collected within the International Progressive Multiple Sclerosis Alliance Project, the analysis includes 18 581 longitudinal time-points (average follow-up time: 28.2 months) of disability assessments including the expanded disability status scale, symbol digit modalities, timed 25-foot-walk, 9-hole-peg test and of MRI metrics such as T1 and T2 lesion volume and normalized brain volume.
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