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Jellinger KA. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms. J Neural Transm (Vienna) 2024; 131:871-899. [PMID: 38761183 DOI: 10.1007/s00702-024-02786-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/08/2024] [Indexed: 05/20/2024]
Abstract
Multiple sclerosis (MS) is an autoimmune-mediated disease of the central nervous system characterized by inflammation, demyelination and chronic progressive neurodegeneration. Among its broad and unpredictable range of clinical symptoms, cognitive impairment (CI) is a common and disabling feature greatly affecting the patients' quality of life. Its prevalence is 20% up to 88% with a wide variety depending on the phenotype of MS, with highest frequency and severity in primary progressive MS. Involving different cognitive domains, CI is often associated with depression and other neuropsychiatric symptoms, but usually not correlated with motor and other deficits, suggesting different pathophysiological mechanisms. While no specific neuropathological data for CI in MS are available, modern research has provided evidence that it arises from the disease-specific brain alterations. Multimodal neuroimaging, besides structural changes of cortical and deep subcortical gray and white matter, exhibited dysfunction of fronto-parietal, thalamo-hippocampal, default mode and cognition-related networks, disruption of inter-network connections and involvement of the γ-aminobutyric acid (GABA) system. This provided a conceptual framework to explain how aberrant pathophysiological processes, including oxidative stress, mitochondrial dysfunction, autoimmune reactions and disruption of essential signaling pathways predict/cause specific disorders of cognition. CI in MS is related to multi-regional patterns of cerebral disturbances, although its complex pathogenic mechanisms await further elucidation. This article, based on systematic analysis of PubMed, Google Scholar and Cochrane Library, reviews current epidemiological, clinical, neuroimaging and pathogenetic evidence that could aid early identification of CI in MS and inform about new therapeutic targets and strategies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, Vienna, A-1150, Austria.
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2
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Piri Cinar B, Baba C, Demir S, Uzunkopru C, Seferoglu M, Gungor Dogan I, Cilingir V, Acikgoz M, Bulbul NG, Sivaci AO, Cekic S, Yigit P, Eroglu S, Beckmann Y, Ozakbas S. Cognition as a parameter in monitoring the effect of multiple sclerosis relapse treatment: A prospective controlled study. Clin Neurol Neurosurg 2024; 238:108173. [PMID: 38430729 DOI: 10.1016/j.clineuro.2024.108173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 02/11/2024] [Accepted: 02/12/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Cognitive evaluation was considered to be very important in the relapse period, on the basis of the presence of isolated cognitive attacks and the necessity of monitoring the patient both physically and cognitively. MATERIALS AND METHODS People with MS (pwMS) who were hospitalized during relapse were included in the study. All MS patients were evaluated by the neurologist with Expanded Disability Status Scale (EDSS), The 9 Hole Peg Test (9HPT) and the Timed 25-Foot Walk Test (T25-FWT). Additionally, all participants were examined cognitively with the Turkish version of the Brief International Cognitive Assessment for MS (BICAMS) battery. Also, schedules were indicated as during relapse before the treatment (pre-treatment) and the first month after relapse (1-month follow-up). RESULTS A total of 140 MS patients (mean age; 34.98±10.09, mean disease duration; 6.05±5.29 years) and 86 healthy controls (mean age; 36.94±10.83) were included to the present study. The mean EDSS scores in pre-treatment in MS patients was 2.74±1.14 and decreased significantly in the 1-month follow-up (1.74±1.24; p<0.001). The mean SDMT score was lower by 8.76 points in MS patients than in HCs) in pre-treatment and 7.66 points in 1-month follow-up (p<0.001). The mean SDMT scores of all participants increased with measurement time gradually (p<0.001). CONCLUSION In this study, it was detected which cognitive domains were affected after relapse treatment and cognitive changes in pwMS during relapse and remission periods compared to the healthy controls. All three BICAMS test scores significantly increased in one-month follow-up than the pre-treatment period. The results showed that CVLT-II and BVMT-R scores improved more in pwMS than in HCs, and also SDMT scores of pwMS showed a trend of increase, but was not a significant improvement.
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Affiliation(s)
- B Piri Cinar
- Samsun University Medical Faculty Department of Neurology, Turkey.
| | - C Baba
- Institute of Health Scienes, Dokuz Eylul University, Izmir, Turkey
| | - S Demir
- University of Health Sciences Sehit Prof. Dr. İlhan Varank Sancaktepe Research and Training Hospital, Department of Neurology, İstanbul, Turkey
| | - C Uzunkopru
- İzmir Katip Çelebi University, Department of Neurology, İzmir, Turkey
| | - M Seferoglu
- Bursa Yüksek İhtisas Education and Research Hospital, Department of Neurology, Bursa, Turkey
| | - I Gungor Dogan
- University of Health Sciences Sehit Prof. Dr. İlhan Varank Sancaktepe Research and Training Hospital, Department of Neurology, İstanbul, Turkey
| | - V Cilingir
- Faculty of Medicine, Yuzuncu Yil University, Department of Neurology, Van, Turkey
| | - M Acikgoz
- Zonguldak Bülent Ecevit University Medical Faculty, Department of Neurology, Zonguldak, Turkey
| | - N G Bulbul
- Sultan 2. Abdulhamit Han Training and Research Hospital, Department of Neurology, Istanbul, Turkey
| | - A O Sivaci
- Bursa Yüksek İhtisas Education and Research Hospital, Department of Neurology, Bursa, Turkey
| | - S Cekic
- Zonguldak Bülent Ecevit University Medical Faculty, Department of Neurology, Zonguldak, Turkey
| | - P Yigit
- Graduate School of Health Sciences Dokuz Eylul University, Izmir, Turkey
| | - S Eroglu
- Graduate School of Health Sciences Dokuz Eylul University, Izmir, Turkey
| | - Y Beckmann
- İzmir Katip Çelebi University, Department of Neurology, İzmir, Turkey
| | - S Ozakbas
- Dokuz Eylul University Medical Faculty Neurology Department, Turkey
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3
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Morrow SA, Weinstock ZL, Mirmosayyeb O, Conway D, Fuchs T, Jaworski MG, Eckert S, Hojnacki DH, Dwyer MG, Zivadinov R, Weinstock-Guttman B, Benedict RHB. Detecting isolated cognitive relapses in persons with MS. Mult Scler 2023; 29:1786-1794. [PMID: 37776097 PMCID: PMC10687840 DOI: 10.1177/13524585231201219] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 08/16/2023] [Accepted: 08/29/2023] [Indexed: 10/01/2023]
Abstract
BACKGROUND The existence of isolated cognitive relapses (ICRs) in persons with MS (PwMS) has been debated. OBJECTIVE To examine relapses with decline on Symbol Digit Modalities Test (SDMT) but no change on Expanded Disability Status Scale (EDSS). METHODS This 3-year prospective cohort study identified PwMS experiencing a relapse with decrease on SDMT. Participants with SDMT decline/stable EDSS were labeled "ICR," while those with a corresponding decrease on EDSS were classified "Relapse with Cognitive Decline (RCD)." Two definitions of SDMT decline were explored: (1) ⩾ 8 points, and (2) ⩾ 4 points. Logistic regression was used to analyze the relationship between ICR and RCD. RESULTS The full cohort had 592 participants: 83 experienced relapses; 22 (26.5%) had an SDMT decrease of ⩾ 8 points; 14 (63.6%) met ICR criteria. Logistic regression (X2(1) = 5.112, p = 0.024) using demographics and disease characteristics explained 28.4% of the variance in ICR versus RCD. Only the MS Neuropsychological Questionnaire was associated with ICR (odds ratio (OR): 8.6; 95% confidence interval (CI): 1.1-16.4) 40 relapsing participants with SDMT decrease of ⩾ 4 points were identified: 26 (65%) had a stable EDSS (ICR). Logistic regression did not find any variable predictive of ICR. CONCLUSION This prospective study demonstrates evidence of ICR in PwMS.
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Affiliation(s)
- Sarah A Morrow
- University Hospital, London Health Sciences Center, Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Zachary L Weinstock
- Jacobs School of Medicine and Biomedical Sciences, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Omid Mirmosayyeb
- Jacobs School of Medicine and Biomedical Sciences, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Devon Conway
- Mellen Center for Multiple Sclerosis Treatment, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Tom Fuchs
- Jacobs School of Medicine and Biomedical Sciences and Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Michael G Jaworski
- Jacobs School of Medicine and Biomedical Sciences, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Sveltlana Eckert
- Jacobs School of Medicine and Biomedical Sciences, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - David H Hojnacki
- Jacobs School of Medicine and Biomedical Sciences, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Jacobs School of Medicine and Biomedical Sciences and Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, USA
- Center for Biomedical Imaging, Clinical Translational Science Institute, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs School of Medicine and Biomedical Sciences, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Ralph H B Benedict
- Jacobs School of Medicine and Biomedical Sciences, Department of Neurology, State University of New York, Buffalo, NY, USA
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Morrow SA, Baldwin C, Alkabie S. Importance of Identifying Cognitive Impairment in Multiple Sclerosis. Can J Neurol Sci 2023; 50:813-819. [PMID: 36503630 DOI: 10.1017/cjn.2022.334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
This article aims to highlight the impact of cognitive impairment on outcomes and quality of life for people with multiple sclerosis (MS) and to review current evidence for the efficacy of disease-modifying therapies (DMTs) and other interventions. In addition, we provide clinical practice insights regarding screening and management of cognitive impairment in people with MS. Evidence suggests that cognitive deterioration often accompanies magnetic resonance imaging changes. Neocortical volume and deep grey matter atrophy correlate with cognitive impairment. Similarly, cognitive decline is predictive of a higher lesion burden. Cognitive impairment is an important clinical measure of disability and negatively impacts quality of life. Phase 3 studies suggest that DMTs such as natalizumab, ozanimod and fingolimod may provide long-lasting, clinically meaningful effects on cognition in people with MS. Further data are needed to support the use of adjunct cognitive behavioural and exercise interventions for people with MS who have cognitive impairment. More data are needed to define appropriate management strategies for cognitive impairment in people with MS. Baseline and periodic screening for cognitive impairment and inclusion of cognitive impairment as a clinical trial endpoint will help to inform efforts to manage this important aspect of MS.
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Affiliation(s)
- Sarah A Morrow
- London Multiple Sclerosis Clinic, London Health Sciences Centre, University Hospital, Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Chantal Baldwin
- London Multiple Sclerosis Clinic, London Health Sciences Centre, University Hospital, Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Samir Alkabie
- London Multiple Sclerosis Clinic, London Health Sciences Centre, University Hospital, Department of Clinical Neurological Sciences, Western University, London, ON, Canada
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Kania K, Ambrosius W, Kozubski W, Kalinowska-Łyszczarz A. The impact of disease modifying therapies on cognitive functions typically impaired in multiple sclerosis patients: a clinician's review. Front Neurol 2023; 14:1222574. [PMID: 37503514 PMCID: PMC10368887 DOI: 10.3389/fneur.2023.1222574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 06/28/2023] [Indexed: 07/29/2023] Open
Abstract
Objective Over the last few decades clinicians have become aware that cognitive impairment might be a major cause of disability, loss of employment and poor quality of life in patients suffering from multiple sclerosis [MS].The impact of disease modifying therapies [DMTs] on cognition is still a matter of debate. Theoretically, DMTs could exert a substantial beneficial effect by means of reducing neuroinflammation and brain atrophy, which are established correlates of cognitive dysfunction. The aim of the study was to review the evidence concerning the effect of DMTs on cognitive functions. Methods PubMed, Scopus, and the European Committee for Treatment and Research in Multiple Sclerosis [ECTRIMS] Library were searched for articles concerning the pediatric and adult populations of patients with multiple sclerosis, including clinical trials and RWD, where psychometric results were analyzed as secondary or exploratory endpoints. Results We reviewed a total of 44 studies that were found by our search strategy, analyzed the psychological tests that were applied, the length of the follow-up, and possible limitations. We pointed out the difficulties associated with assessing of DMTs' effects on cognitive functions, and pitfalls in cognitive tools used for evaluating of MS patients. Conclusion There is a need to highlight this aspect of MS therapies, and to collect adequate data to make informed therapeutic decisions, to improve our understanding of MS-related cognitive dysfunction and provide new therapeutic targets.
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Affiliation(s)
- Karolina Kania
- Department of Neurology, Poznan University of Medical Sciences, Poznań, Poland
| | - Wojciech Ambrosius
- Department of Neurology, Poznan University of Medical Sciences, Poznań, Poland
| | - Wojciech Kozubski
- Department of Neurology, Poznan University of Medical Sciences, Poznań, Poland
| | - Alicja Kalinowska-Łyszczarz
- Department of Neurology, Division of Neurochemistry and Neuropathology, Poznan University of Medical Sciences, Poznań, Poland
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Weinstock ZL, Benedict RHB. Cognitive Relapse in Multiple Sclerosis: New Findings and Directions for Future Research. NEUROSCI 2022; 3:510-520. [PMID: 39483431 PMCID: PMC11523726 DOI: 10.3390/neurosci3030036] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/18/2022] [Indexed: 11/03/2024] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory, demyelinating disease of the central nervous system, often presenting with brain atrophy and cognitive impairment (CI). In the relapsing-remitting phenotype, cognitive performance is increasingly recognized to decline acutely during MS relapse, with varying degrees of recovery afterwards. Therefore, CI in MS may result from incomplete recovery from episodes of so-called "cognitive relapse", gradual neurodegeneration, or both. Among a variety of validated measures of cognitive performance, the Symbol Digit Modalities Test (SDMT) represents the most sensitive measure of cognitive decline and is easily translated to clinical practice. In fact, cognitive relapse identified using the SDMT has been reported in clinically relapsing cohorts as well as in individuals with no other neurological signs, suggesting that routine cognitive assessment may be necessary to fully appreciate the extent of a patient's disease activity. The aim of this narrative review is as follows: (1) to provide the historical context for neuropsychological assessment in MS, (2) to provide a summation of key studies describing the cognitive relapse phenomenon, and (3) to discuss current gaps in our knowledge and highlight avenues for future research.
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Affiliation(s)
- Zachary L. Weinstock
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo—State University of New York, Buffalo, NY 14203, USA
| | - Ralph H. B. Benedict
- Jacobs MS Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo—State University of New York, Buffalo, NY 14203, USA
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7
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McKay KA, Bedri SK, Manouchehrinia A, Stawiarz L, Olsson T, Hillert J, Fink K. Reduction in cognitive processing speed surrounding multiple sclerosis relapse. Ann Neurol 2022; 91:417-423. [PMID: 34984719 PMCID: PMC9303402 DOI: 10.1002/ana.26301] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/02/2022] [Accepted: 01/03/2022] [Indexed: 11/21/2022]
Abstract
Objective The purpose of this study was to explore the longitudinal relationship between multiple sclerosis (MS) relapses and information processing efficiency among persons with relapsing–remitting MS. Methods We conducted a Swedish nationwide cohort study of persons with incident relapsing–remitting MS (2001–2019). Relapse information and symbol digit modalities test (SDMT) scores were obtained from the Swedish MS Registry. Follow‐up was categorized into 2 periods based on relapse status: “relapse” (90 days pre‐relapse to 730 days post‐relapse, subdivided into 10 periods) and “remission.” Linear mixed models compared SDMT scores during the relapse periods to SDMT scores recorded during remission (reference) with results reported as β‐coefficients and 95% confidence intervals (CIs), adjusted for age, sex, SDMT type (written vs oral), time‐varying, disease‐modifying therapy exposure and sequence of SDMT. Results Over a mean (SD) follow‐up of 10.7 (4.3) years, 31,529 distinct SDMTs were recorded among 3,877 persons with MS. There was a significant decline in information processing efficiency that lasted from 30 days pre‐relapse up to 550 days post‐relapse, with the largest decline occurring 0 to 30 days post‐relapse (β‐coefficient: −4.00 (95% CI = −4.61 to −3.39), relative to the period of remission. Interpretation We found evidence of cognitive change up to 1 month prior to relapse onset. The reduction in SDMT lasted 1.5 years and was clinically significant up to 3 months post‐relapse. These results suggest that the effects of a relapse on cognition are longer than previously thought and highlight the importance of reducing relapse rates as a potential means of preserving cognitive function. ANN NEUROL 2022;91:417–423
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Affiliation(s)
- Kyla A McKay
- Department of Clinical Neuroscience Neuro Division, Karolinska Institutet Stockholm Sweden
- Centre for Molecular Medicine Karolinska University Hospital Stockholm Sweden
| | - Sahl K Bedri
- Department of Clinical Neuroscience Neuro Division, Karolinska Institutet Stockholm Sweden
- Centre for Molecular Medicine Karolinska University Hospital Stockholm Sweden
| | - Ali Manouchehrinia
- Department of Clinical Neuroscience Neuro Division, Karolinska Institutet Stockholm Sweden
- Centre for Molecular Medicine Karolinska University Hospital Stockholm Sweden
| | - Leszek Stawiarz
- Department of Clinical Neuroscience Neuro Division, Karolinska Institutet Stockholm Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience Neuro Division, Karolinska Institutet Stockholm Sweden
- Centre for Molecular Medicine Karolinska University Hospital Stockholm Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience Neuro Division, Karolinska Institutet Stockholm Sweden
| | - Katharina Fink
- Department of Clinical Neuroscience Neuro Division, Karolinska Institutet Stockholm Sweden
- Centrum for Neurology, Academical Specialist Center Stockholm Sweden
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Weinstock Z, Morrow S, Conway D, Fuchs T, Wojcik C, Unverdi M, Zivadinov R, Weinstock-Guttman B, Iverson GL, Dwyer M, Benedict RH. Interpreting change on the Symbol Digit Modalities Test in people with relapsing multiple sclerosis using the reliable change methodology. Mult Scler 2021; 28:1101-1111. [PMID: 34612114 DOI: 10.1177/13524585211049397] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The Symbol Digit Modalities Test (SDMT) is increasingly utilized in clinical trials. A SDMT score change of 4 points is considered clinically important, based on association with employment anchors. Optimal thresholds for statistically reliable SDMT changes, accounting for test reliability and measurement error, are yet to be applied to individual cases. OBJECTIVE The aim of this study was to derive a statistically reliable marker of individual change on the SDMT. METHODS This prospective, case-control study enrolled 166 patients with multiple sclerosis (MS). SDMT scores at baseline, relapse, and 3-month follow-up were compared between relapsing and stable patient groups. Using data from the stable group and three previously published studies, candidate thresholds for reliable decline were calculated and validated against other tests and a clinically meaningful anchor-cognitive relapse. RESULTS Candidate thresholds for reliable decline at the 80% confidence level varied between 6 and 11 points. An SDMT change of 8 or more raw score points was deemed to offer the best balance of discriminatory power and external validity for estimating cognitive decline. CONCLUSION This study illustrates the feasibility and usefulness of reliable change methodology for identifying statistically meaningful cognitive decline that could be implemented to identify change in individual patients, for both clinical management and clinical trial outcomes.
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Affiliation(s)
- Zachary Weinstock
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Sarah Morrow
- Department of Clinical Neurological Sciences, Western University and London Health Sciences Center, London, ON, Canada
| | - Devon Conway
- Mellen Center for Multiple Sclerosis Treatment, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Tom Fuchs
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Curtis Wojcik
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Mahmut Unverdi
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA/Jacobs MS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs MS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Grant L Iverson
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA/Spaulding Rehabilitation Hospital and Spaulding Research Institute, Charlestown, MA, USA
| | - Michael Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA/Jacobs MS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Ralph Hb Benedict
- Jacobs MS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
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Pardini M. Do isolated cognitive relapses exist? Yes. Mult Scler 2021; 27:1486-1487. [PMID: 34410174 DOI: 10.1177/13524585211022191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Matteo Pardini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genova, Italy/IRCCS Ospedale Policlinico S. Martino, Genova, Italy
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10
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Ruet A. Do isolated cognitive relapses exist? Commentary. Mult Scler 2021; 27:1489-1490. [PMID: 34410169 DOI: 10.1177/13524585211034123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Aurélie Ruet
- Université de Bordeaux, Neurocentre Magendie, U 1215 INSERM, Bordeaux, France; Université de Bordeaux, Service de neurologie CHU de Bordeaux, Bordeaux, France
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Motyl J, Friedova L, Vaneckova M, Krasensky J, Lorincz B, Blahova Dusankova J, Andelova M, Fuchs TA, Kubala Havrdova E, Benedict RHB, Horakova D, Uher T. Isolated Cognitive Decline in Neurologically Stable Patients with Multiple Sclerosis. Diagnostics (Basel) 2021; 11:diagnostics11030464. [PMID: 33800075 PMCID: PMC7999620 DOI: 10.3390/diagnostics11030464] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 03/02/2021] [Accepted: 03/04/2021] [Indexed: 12/05/2022] Open
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.
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Affiliation(s)
- Jiri Motyl
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, 128 21 Prague, Czech Republic; (J.M.); (L.F.); (B.L.); (J.B.D.); (M.A.); (E.K.H.); (D.H.)
| | - Lucie Friedova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, 128 21 Prague, Czech Republic; (J.M.); (L.F.); (B.L.); (J.B.D.); (M.A.); (E.K.H.); (D.H.)
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine and General University Hospital in Prague, Charles University in Prague, 128 08 Prague, Czech Republic; (M.V.); (J.K.)
| | - Jan Krasensky
- Department of Radiology, First Faculty of Medicine and General University Hospital in Prague, Charles University in Prague, 128 08 Prague, Czech Republic; (M.V.); (J.K.)
| | - Balazs Lorincz
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, 128 21 Prague, Czech Republic; (J.M.); (L.F.); (B.L.); (J.B.D.); (M.A.); (E.K.H.); (D.H.)
| | - Jana Blahova Dusankova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, 128 21 Prague, Czech Republic; (J.M.); (L.F.); (B.L.); (J.B.D.); (M.A.); (E.K.H.); (D.H.)
| | - Michaela Andelova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, 128 21 Prague, Czech Republic; (J.M.); (L.F.); (B.L.); (J.B.D.); (M.A.); (E.K.H.); (D.H.)
| | - Tom A. Fuchs
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA; (T.A.F.); (R.H.B.B.)
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, 128 21 Prague, Czech Republic; (J.M.); (L.F.); (B.L.); (J.B.D.); (M.A.); (E.K.H.); (D.H.)
| | - Ralph H. B. Benedict
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA; (T.A.F.); (R.H.B.B.)
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, 128 21 Prague, Czech Republic; (J.M.); (L.F.); (B.L.); (J.B.D.); (M.A.); (E.K.H.); (D.H.)
| | - Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, 128 21 Prague, Czech Republic; (J.M.); (L.F.); (B.L.); (J.B.D.); (M.A.); (E.K.H.); (D.H.)
- Correspondence: ; Tel.: +420-224-966-515
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12
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DeLuca J, Schippling S, Montalban X, Kappos L, Cree BAC, Comi G, Arnold DL, Hartung HP, Sheffield JK, Liu H, Silva D, Cohen JA. Effect of Ozanimod on Symbol Digit Modalities Test Performance in Relapsing MS. Mult Scler Relat Disord 2020; 48:102673. [PMID: 33454584 DOI: 10.1016/j.msard.2020.102673] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 11/18/2020] [Accepted: 12/02/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Cognitive dysfunction, including slowed cognitive processing speed (CPS), is one of the most disabling symptoms of multiple sclerosis (MS). The Symbol Digit Modalities Test (SDMT) is a preferred measure of CPS for MS trials and routine screening. Based on encouraging SDMT results in the phase 3 SUNBEAM trial, these post hoc, exploratory analyses were conducted to further compare effects of the sphingosine 1-phosphate receptor modulator ozanimod versus intramuscular interferon β-1a on CPS in participants with relapsing multiple sclerosis (RMS). METHODS In the phase 3, double-blind, double-dummy, SUNBEAM study, adults (aged 18‒55 years) with RMS (N=1,346) were randomized to once-daily oral ozanimod 0.92 or 0.46 mg, or weekly intramuscular interferon β-1a 30 µg. The study continued until the last participant was treated for 12 months. CPS was measured as part of a secondary endpoint using the SDMT. Exploratory, post hoc analyses evaluated SDMT change and percentages of participants with clinically meaningful (≥4-point) SDMT improvement or worsening at months 6 and 12, and relationship between SDMT and brain volume on magnetic resonance imaging. RESULTS Ozanimod improved SDMT scores compared with interferon β-1a at months 6 and 12. At month 12, least squares mean difference in SDMT z-scores for ozanimod 0.92 mg versus interferon β-1a was 0.102 (95% CI, 0.031‒0.174, nominal p = 0.0051; standardized mean difference = 0.1376). A greater percentage of ozanimod 0.92 mg‒treated participants had clinically meaningful improvements in SDMT scores versus interferon β-1a at month 6 (30.0% versus 22.2%) and month 12 (35.6% versus 27.9%). Of those with SDMT improvement at month 6, 66.4% of those treated with ozanimod 0.92 mg and 55.9% of those treated with interferon β-1a had sustained improvement at month 12. Brain volume loss was similar for those with SDMT improvement versus worsening at month 12. CONCLUSIONS In these exploratory analyses, ozanimod had modestly beneficial effects on CPS in RMS participants. The effects of ozanimod on SDMT are being further evaluated in an ongoing 3-year clinical trial. SUNBEAM is registered on clinicaltrials.gov (NCT02294058) and the European Clinical Trials Database (EudraCT 2014-002320-27).
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Affiliation(s)
- John DeLuca
- Kessler Foundation, 1199 Pleasant Valley Way, West Orange, NJ 07052 USA and Departments of Physical Medicine and Rehabilitation, and Neurology, Rutgers - New Jersey Medical School, Newark 07103, NJ, USA.
| | - Sven Schippling
- Neuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital and University of Zürich and Neuroscience Center Zürich, University of Zürich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland and Federal Institute of Technology (ETH) Zürich, Rämistrasse 101, 8092 Zürich, Switzerland.
| | - Xavier Montalban
- Department of Neurology-Neuroimmunology, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitario Vall d'Hebron, Pg. Vall d'Hebron, 119-129, 08035 Barcelona, Spain.
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Medicine, Clinical Research, Biomedicine, and Biomedical Engineering, University Hospital and University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
| | - Bruce A C Cree
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158 USA.
| | - Giancarlo Comi
- Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, via Olgettina 48, 20132 Milan, Italy.
| | - Douglas L Arnold
- NeuroRx Research and Montréal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada.
| | - Hans-Peter Hartung
- Department of Neurology, Medical Faculty, Heinrich-Heine University, University Hospital Dusseldorf, Moorenstr. 5 40225 Dusseldorf, Germany.
| | - James K Sheffield
- Bristol Myers Squibb, 3401 Princeton Pike, Lawrenceville, NJ 08648, USA.
| | - Hongjuan Liu
- Bristol Myers Squibb, 3401 Princeton Pike, Lawrenceville, NJ 08648, USA.
| | - Diego Silva
- Bristol Myers Squibb, 3401 Princeton Pike, Lawrenceville, NJ 08648, USA.
| | - Jeffrey A Cohen
- Department of Neurology, Mellen Center for MS Treatment and Research, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195 USA.
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13
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Benedict RHB, Amato MP, DeLuca J, Geurts JJG. Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues. Lancet Neurol 2020; 19:860-871. [PMID: 32949546 PMCID: PMC10011205 DOI: 10.1016/s1474-4422(20)30277-5] [Citation(s) in RCA: 327] [Impact Index Per Article: 81.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 07/14/2020] [Accepted: 07/21/2020] [Indexed: 12/15/2022]
Abstract
Multiple sclerosis is a chronic, demyelinating disease of the CNS. Cognitive impairment is a sometimes neglected, yet common, sign and symptom with a profound effect on instrumental activities of daily living. The prevalence of cognitive impairment in multiple sclerosis varies across the lifespan and might be difficult to distinguish from other causes in older age. MRI studies show that widespread changes to brain networks contribute to cognitive dysfunction, and grey matter atrophy is an early sign of potential future cognitive decline. Neuropsychological research suggests that cognitive processing speed and episodic memory are the most frequently affected cognitive domains. Narrowing evaluation to these core areas permits brief, routine assessment in the clinical setting. Owing to its brevity, reliability, and sensitivity, the Symbol Digit Modalities Test, or its computer-based analogues, can be used to monitor episodes of acute disease activity. The Symbol Digit Modalities Test can also be used in clinical trials, and data increasingly show that cognitive processing speed and memory are amenable to cognitive training interventions.
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Affiliation(s)
- Ralph H B Benedict
- Department of Neurology and Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
| | - Maria Pia Amato
- Department of Neurology, University of Florence, IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | | | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, Section Clinical Neuroscience, Amsterdam UMC, Location VUmc, Vrije Universiteit, Amsterdam, Netherlands
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14
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Benedict RH, Pol J, Yasin F, Hojnacki D, Kolb C, Eckert S, Tacca B, Drake A, Wojcik C, Morrow SA, Jakimovski D, Fuchs TA, Dwyer MG, Zivadinov R, Weinstock-Guttman B. Recovery of cognitive function after relapse in multiple sclerosis. Mult Scler 2020; 27:71-78. [PMID: 31971066 DOI: 10.1177/1352458519898108] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Cognitive impairment is common in multiple sclerosis (MS) but its manifestation as acute disease activity is underappreciated. OBJECTIVE The aim of this study is to examine recovery after MS relapse on multiple tests of cognitive and motor function and explore correlates of change with Expanded Disability Status Scale (EDSS), magnetic resonance imaging (MRI), and cognitive reserve. METHODS Fifty relapsing group (RG) and matched stable participants were examined at baseline, during relapse, and at 3-month follow-up. Tests of cognitive processing speed (Symbol Digit Modalities Test (SDMT)) and consensus opinion measures of memory, ambulation, and manual dexterity were administered. All RG patients were treated with a 5-day course of Acthar Gel (5 mL/80 IU). RESULTS In RG patients, SDMT declined from 55.2 to 44.6 at relapse and recovered to 51.7, a slope differing from stable controls (p = 0.001). A statistical trend (p = 0.07) for the same effect was observed for verbal memory and was significant for ambulation (p = 0.03). The Cerebral Function Score from the EDSS also changed in the RG and recovered incompletely relative to controls (p = 0.006). CONCLUSION These results replicate earlier reports of cognitive worsening during relapse in MS. Clinically meaningful improvements followed relapse on SDMT and ambulation. Cognitive decline during relapse can be appreciated on neurological exam but not patient-reported outcomes.
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Affiliation(s)
- Ralph Hb Benedict
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jeta Pol
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Faizan Yasin
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - David Hojnacki
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Channa Kolb
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Svetlana Eckert
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Beth Tacca
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Allison Drake
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Curtis Wojcik
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Tom A Fuchs
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA/Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA/Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA/Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
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