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Adamová LM, Slezáková D, Hric I, Nechalová L, Berisha G, Olej P, Chren M, Chlapcová A, Penesová A, Minár M, Bielik V. Impact of dance classes on motor and cognitive functions and gut microbiota composition in multiple sclerosis patients: Randomized controlled trial. Eur J Sport Sci 2024; 24:1186-1196. [PMID: 38967986 PMCID: PMC11295098 DOI: 10.1002/ejsc.12166] [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: 01/27/2024] [Revised: 05/31/2024] [Accepted: 06/24/2024] [Indexed: 07/07/2024]
Abstract
Evidence suggests that multiple sclerosis (MS) induces a decline in motor and cognitive function and provokes a shift in gut microbiome composition in patients. Therefore, the aim of the study was to explore the effect of dance classes on the motor and cognitive functions and gut microbiota composition of MS patients. In this randomized controlled trial, 36 patients were randomly divided into two groups: the experimental group (n = 18) and the passive control group (n = 18). Supervised rock and roll and sports dance classes were performed for 12 weeks at a frequency of two times a week. Before and after the intervention, fecal samples were taken and the motor and cognitive function assessments were completed. Fecal microbiota were categorized using primers targeting the V3-V4 region of 16S rDNA. Our results revealed significant differences in mobility performance (T25-FWT), attention and working memory (TMT B), and finger dexterity (9-HPT) within the experimental group. Furthermore, we reported favorable shifts in gut microbial communities (an increase in Blautia stercoris and a decrease in Ruminococcus torques) within the experimental group. In conclusion, our randomized control trial on the effects of 12-week dance classes in MS patients found significant improvements in motor and cognitive functions, with further moderate influence on gut microbiota composition.
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Affiliation(s)
- Louise Mária Adamová
- Second Department of NeurologyFaculty of MedicineComenius UniversityUniversity Hospital in BratislavaBratislavaSlovakia
| | - Darina Slezáková
- Second Department of NeurologyFaculty of MedicineComenius UniversityUniversity Hospital in BratislavaBratislavaSlovakia
| | - Ivan Hric
- Biomedical Research CenterInstitute of Clinical and Translational ResearchSlovak Academy of SciencesBratislavaSlovakia
- Department of Molecular BiologyFaculty of Natural SciencesComenius University in BratislavaBratislavaSlovakia
| | - Libuša Nechalová
- Biomedical Research CenterInstitute of Clinical and Translational ResearchSlovak Academy of SciencesBratislavaSlovakia
- Department of Biological and Medical ScienceFaculty of Physical Education and SportComenius University in BratislavaBratislavaSlovakia
| | - Genc Berisha
- Department of Biological and Medical ScienceFaculty of Physical Education and SportComenius University in BratislavaBratislavaSlovakia
| | - Peter Olej
- Department of GymnasticsFaculty of Physical Education and SportComenius University in BratislavaBratislavaSlovakia
| | - Matej Chren
- Department of GymnasticsFaculty of Physical Education and SportComenius University in BratislavaBratislavaSlovakia
| | - Adela Chlapcová
- Department of GymnasticsFaculty of Physical Education and SportComenius University in BratislavaBratislavaSlovakia
| | - Adela Penesová
- Biomedical Research CenterInstitute of Clinical and Translational ResearchSlovak Academy of SciencesBratislavaSlovakia
- Department of Biological and Medical ScienceFaculty of Physical Education and SportComenius University in BratislavaBratislavaSlovakia
| | - Michal Minár
- Second Department of NeurologyFaculty of MedicineComenius UniversityUniversity Hospital in BratislavaBratislavaSlovakia
| | - Viktor Bielik
- Department of Biological and Medical ScienceFaculty of Physical Education and SportComenius University in BratislavaBratislavaSlovakia
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Leussink VI, Jankovic M, Groth M, Schuh K, Sauerbeck IS, Hoffmann O. Addition of quantitative MRI to the routine clinical care of patients with multiple sclerosis-Results from the MAGNON project. Brain Behav 2024; 14:e3548. [PMID: 38841819 PMCID: PMC11154816 DOI: 10.1002/brb3.3548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/30/2024] [Accepted: 05/04/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND The revised Lublin classification offers a framework for categorizing multiple sclerosis (MS) according to the clinical course and imaging results. Diagnosis of secondary progressive MS (SPMS) is often delayed by a period of uncertainty. Several quantitative magnetic resonance imaging (qMRI) markers are associated with progressive disease states, but they are not usually available in clinical practice. METHODS The MAGNON project enrolled 629 patients (early relapsing-remitting MS (RRMS), n = 51; RRMS with suspected SPMS, n = 386; SPMS, n = 192) at 55 centers in Germany. Routine magnetic resonance imaging (MRI) scans at baseline and after 12 months were analyzed using a centralized automatic processing pipeline to quantify lesions and normalized brain and thalamic volume. Clinical measures included relapse activity, disability, and MS phenotyping. Neurologists completed questionnaires before and after receiving the qMRI reports. RESULTS According to the physicians' reports, qMRI results changed their assessment of the patient in 31.8% (baseline scan) and 27.6% (follow-up scan). For ∼50% of patients with RRMS with suspected SPMS, reports provided additional information that the patient was transitioning to SPMS. In >25% of all patients, this information influenced the physicians' assessment of the patient's current phenotype. However, actual changes of treatment were reported only in a minority of these patients. CONCLUSIONS The MAGNON results suggest that standardized qMRI reports may be integrated into the routine clinical care of MS patients and support the application of the Lublin classification as well as treatment decisions. The highest impact was reported in patients with suspected SPMS, indicating a potential to reduce diagnostic uncertainty.
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Affiliation(s)
| | | | - Marie Groth
- Clinical Research NeuroscienceNovartis Pharma GmbHNurembergGermany
| | - Katrin Schuh
- Clinical Research NeuroscienceNovartis Pharma GmbHNurembergGermany
| | | | - Olaf Hoffmann
- St. Josefs‐Krankenhaus Potsdam‐SanssouciPotsdamGermany
- Medizinische Hochschule Brandenburg Theodor FontaneNeuruppinGermany
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Covey TJ, Golan D, Sergott R, Wilken J, Zarif M, Bumstead B, Buhse M, Kaczmarek O, Doniger GM, Penner IK, Hancock LM, Bogaardt H, Barrera MA, Morrow SA, Galetta S, Gudesblatt M. Peering further into the mind's eye: combining visual evoked potential and optical coherence tomography measures enhances insight into the variance in cognitive functioning in multiple sclerosis. J Neurol 2024; 271:658-673. [PMID: 38091086 DOI: 10.1007/s00415-023-12075-5] [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: 07/12/2023] [Revised: 10/16/2023] [Accepted: 10/22/2023] [Indexed: 02/01/2024]
Abstract
BACKGROUND Spectral Optical Coherence Tomography (OCT) and Visual Evoked Potentials (VEPs) have both emerged as potentially useful biomarkers of cognitive decline in people with multiple sclerosis (PwMS). Their combined use may provide additional predictive value for identifying disease impact, progression, and remyelination capacity above-and-beyond what is captured using either approach alone. OBJECTIVE We examined the relationship between OCT/VEP measures and cognitive functioning in 205 PwMS. OCT measures included Retinal Nerve Fiber Layer Volume (RNFLV), Papillo-Macular Bundle Volume (PBMV), and Macular Volume (MV). VEP measures included latency of the P100, and inter-ocular latency. Cognitive performance was evaluated across seven separate domains of performance, and for overall cognition, using the NeuroTrax computerized testing battery. RESULTS Both OCT and VEP measures were significantly correlated with cognitive performance across several domains. Linear regression models that controlled for the influence of visual acuity revealed (1) that reduced MV was significantly predictive of poorer visual-spatial functioning, and (2) that delayed VEP latency was significantly predictive of performance in global cognitive functioning and visual-spatial functioning, after controlling for multiple comparisons. Among PwMS with normal visual acuity, PwMS with a combination of both relatively low MV and delayed VEP latency tended to have poorer performance in the domains of global, executive, and visual-spatial functioning compared to PwMS with both high MV and normal VEP latency. CONCLUSION Approaches that combine the use of OCT and VEP measures can enhance insight into underlying factors that contribute to variance in cognitive functioning in PwMS.
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Affiliation(s)
- Thomas J Covey
- Division of Cognitive and Behavioral Neurosciences, Department of Neurology, Neuroscience Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Sherman Hall Annex 114, Buffalo, NY, USA.
| | - Daniel Golan
- Multiple Sclerosis and Neuroimmunology Center, Clalit Health Services, Nazareth, Israel
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Robert Sergott
- Wills Eye Institute and the William H. Annesley EyeBrain Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Jeffrey Wilken
- Washington Neuropsychology Research Group, Fairfax, VA, USA
- Department of Neurology, Georgetown University, Washington, DC, USA
| | - Myassar Zarif
- South Shore Neurologic Associates, New York University, Patchogue, New York, NY, USA
| | - Barbara Bumstead
- South Shore Neurologic Associates, New York University, Patchogue, New York, NY, USA
| | - MariJean Buhse
- South Shore Neurologic Associates, New York University, Patchogue, New York, NY, USA
| | - Olivia Kaczmarek
- South Shore Neurologic Associates, New York University, Patchogue, New York, NY, USA
| | - Glen M Doniger
- Department of Clinical Research, NeuroTrax Corporation, Modiin, Israel
| | - Iris-Katharina Penner
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Laura M Hancock
- Department of Neurology, University of Wisconsin School of Medicine, Madison, WI, USA
| | - Hans Bogaardt
- School of Allied Health Science and Practice, University of Adelaide, Adelaide, Australia
| | - Marissa A Barrera
- Katz School of Science and Health, Yeshiva University, New York, NY, USA
| | - Sarah A Morrow
- London Health Sciences Centre, University of Western Ontario, Ontario, ON, Canada
| | - Steve Galetta
- Department of Neurology, New York University, New York, NY, USA
| | - Mark Gudesblatt
- South Shore Neurologic Associates, New York University, Patchogue, New York, NY, USA.
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Patrick KS, Chakrabati S, Rhoads T, Busch RM, Floden DP, Galioto R. Utility of the Brief Assessment of Cognitive Health (BACH) computerized screening tool in identifying MS-related cognitive impairment. Mult Scler Relat Disord 2024; 82:105398. [PMID: 38183694 PMCID: PMC10872240 DOI: 10.1016/j.msard.2023.105398] [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: 08/08/2023] [Revised: 12/04/2023] [Accepted: 12/21/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Current guidelines recommend that individuals with MS are screened annually for processing speed deficits, often using the Symbol Digit Modalities Test (SDMT). However, given the heterogeneity of cognitive deficits in individuals with MS, other screening measures that assess a range of cognitive domains are necessary. The current cross-sectional study aimed to examine the ability of the computerized, self-administered Brief Assessment of Cognitive Health (BACH) screening measure to detect the presence of cognitive impairment in adults with MS as determined by performance on a standard neuropsychological test battery. METHODS Seventy-two individuals with MS completed the BACH and a comprehensive neuropsychological test battery. Receiver operating characteristic (ROC) analyses were conducted to investigate the ability of the BACH to identify cognitively impaired and cognitively intact individuals. ROC analyses were also conducted to compare the ability of the SDMT to discriminate between cognitively intact and cognitively impaired groups as a comparison with the BACH. RESULTS Cognitive impairment was observed in 56 % of the sample. The BACH showed acceptable ability to discriminate between cognitively intact and cognitively impaired groups (AUC = 0.78). Additionally, the BACH was able to adequately predict cognitive impairment in domains other than processing speed (AUC = 0.71). The SDMT also demonstrated adequate utility in identifying individuals with cognitive impairment (AUC = 0.73); however, the SDMT was not able to adequately predict cognitive impairment in domains other than processing speed (AUC = 0.56). CONCLUSION The BACH showed adequate ability to detect cognitive impairment in individuals with MS. The BACH was able to identify impairments across various assessed cognitive domains, including individuals with and without processing speed deficits.
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Affiliation(s)
- Karlee S Patrick
- Department of Psychological Sciences, Kent State University, Kent, OH, United States.
| | - Shinjon Chakrabati
- Department of Neurosciences, Case Western Reserve University, Cleveland, OH, United States
| | - Tasha Rhoads
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, OH, United States; Department of Neurology, Neurological Institute, Cleveland Clinic, OH, United States
| | - Robyn M Busch
- Department of Neurology, Neurological Institute, Cleveland Clinic, OH, United States; Epilepsy Center, Neurological Institute, Cleveland Clinic, OH, United States
| | - Darlene P Floden
- Department of Neurology, Neurological Institute, Cleveland Clinic, OH, United States; Center for Neurological Restoration, Neurological Institute, Cleveland Clinic, OH, United States
| | - Rachel Galioto
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, OH, United States; Department of Neurology, Neurological Institute, Cleveland Clinic, OH, United States
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Bogaardt H, Golan D, Barrera MA, Attrill S, Kaczmarek O, Zarif M, Bumstead B, Buhse M, Wilken J, Doniger GM, Hancock LM, Penner IK, Halper J, Morrow SA, Covey TJ, Gudesblatt M. Cognitive impairment, fatigue and depression in multiple sclerosis: Is there a difference between benign and non-benign MS? Mult Scler Relat Disord 2023; 73:104630. [PMID: 36965219 DOI: 10.1016/j.msard.2023.104630] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 03/13/2023] [Accepted: 03/18/2023] [Indexed: 03/27/2023]
Abstract
INTRODUCTION Multiple Sclerosis (MS) is a chronic inflammatory and degenerative disease of the central nervous system (CNS). The severity of disability in people with MS (PwMS) is generally measured with the Expanded Disability Status Scale (EDSS). A variant of MS known as 'benign MS' (BMS) has been defined as an EDSS score of 3 or lower, combined with a disease duration of 10 years or longer; however, there is disagreement in the field about whether BMS really exists. Given that the EDSS does not capture cognitive issues, communication dysfunction, fatigue, depression, or anxiety properly, its ability to accurately represent disability in all PwMS, including BMS, remains questionable. METHODS In this study, 141 persons with BMS (PwBMS) were included, consisting of 115 females (82%) and 26 males (18%) with a mean age of 50.8 (±8.68). A computerized test battery (NeuroTrax®) was used to assess cognition, covering seven cognitive domains (memory, executive function, visual-spatial processing, verbal function, attention, information processing, and motor skills). Fatigue was measured using the Fatigue Severity Scale (FSS). The Beck Depression Inventory (BDI) was used to assess symptoms of depression. Cognitive impairment was defined for this study as when someone has a score lower than 85 in at least two subdomains of the cognitive test battery. Rates of impairment were compared to 158 persons with non-benign MS (PwNBMS; with a disease duration of 10 years and longer and an EDSS score higher than 3) and 487 PwMS with a disease duration of fewer than 10 years. RESULTS Cognitive impairment was found in 38% of PwBMS and in 66% of PwNBMS (p<0.001). In PwBMS, the lowest rate of impairment was found in the verbal function domain (18%) and the highest rate of impairment in the domain of information processing (32%). Fatigue and depression were found in 78% and 55% of all PwBMS, with no difference in these rates between PwBMS and PwNBMS (p = 0.787 and p = 0.316 resp.) CONCLUSION: Cognitive impairment, fatigue and depression are common among people with an EDSS-based definition of benign MS. These aspects should be incorporated into a new and better definition of truly benign MS.
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Affiliation(s)
- Hans Bogaardt
- School of Allied Health Science and Practice, University of Adelaide, Adelaide, Australia.
| | - Daniel Golan
- Multiple Sclerosis and Neuroimmunology Center, Clalit Health Services, Nazareth, Israel; Department of Neurology, Lady Davis Carmel Medical Center, Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Marissa A Barrera
- Katz School of Science and Health, Yeshiva University, New York, United States
| | - Stacie Attrill
- School of Allied Health Science and Practice, University of Adelaide, Adelaide, Australia
| | | | - Myassar Zarif
- South Shore Neurologic Associates, New York, United States
| | | | - Marijean Buhse
- South Shore Neurologic Associates, New York, United States; Department of Nursing, State University of Stony Brook, Stony Brook, NY, United States
| | - Jeffrey Wilken
- Georgetown University Dept of Neurology, Washington D.C. United States; Washington Neuropsychology Research Group, LLC., Fairfax, VA, United States
| | - Glen M Doniger
- Department of Clinical Research, NeuroTrax Corporation, Modiin, Israel
| | - Laura M Hancock
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Iris-Katharina Penner
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - June Halper
- Consortium of Multiple Sclerosis Centers, Hackensack, NJ, United States
| | - Sarah A Morrow
- London Health Sciences Centre, University Hospital, University of Western Ontario (Western), Canada
| | - Thomas J Covey
- Division of Cognitive and Behavioral Neurosciences, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States; Neuroscience Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States
| | - Mark Gudesblatt
- Katz School of Science and Health, Yeshiva University, New York, United States
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Jackson DA, Nicholson R, Bergmann C, Wilken J, Kaczmarek O, Bumstead B, Buhse M, Zarif M, Penner IK, Hancock LM, Golan D, Doniger GM, Bogaardt H, Barrera M, Covey TJ, Gudesblatt M. Cognitive impairment in people with multiple sclerosis: Perception vs. performance - factors that drive perception of impairment differ for patients and clinicians. Mult Scler Relat Disord 2023; 69:104410. [PMID: 36399966 DOI: 10.1016/j.msard.2022.104410] [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: 08/17/2022] [Revised: 10/10/2022] [Accepted: 11/10/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Neurologists' perceptions of the presence of cognitive impairment (CI) in people with multiple sclerosis (PwMS) may not always align with findings of objective cognitive assessment. The accuracy of self-reported CI in PwMS can also be highly variable across individuals, and may not align with objective measurement of cognitive disturbances. Research suggests that additional factors impact perceived cognitive ability, such as depression and fatigue. Objective cognitive screening regardless of patient or neurologist perception has been recommended but still is often limited in routine care. Moreover, comprehensive neuropsychological assessment is even less routinely done. OBJECTIVE To explore how neurologists' perceptions of PwMS' CI compare to the perception of the patient by determining whether PwMS and their clinicians are accurate in detecting the presence and degree of CI as defined by a multi-domain validated computerized test battery in PwMS, as well as investigate what factors influence perception of CI in each group. METHODS PwMS completed a computerized multi-domain cognitive testing battery, and self-reported measures of disease impact (MSIS-29), fatigue (MFIS), and depression (BDI-II). Disability was assessed by the clinician using the Expanded Disability Status Scale (EDSS). Clinicians and patients also provided an estimation of cognitive deficits along a Likert scale. RESULTS In this cohort of PwMS (N=202, age range: 20 to 88, gender: 71% female), their level of accuracy in detecting attention deficits (k = -.028, p = .010) was low but statistically significant. In contrast, clinicians' accuracy in detecting global CI (k = -.037, p < .001) and a number of specific domain deficits was moderate. Fatigue (p < .001) and cognitive performance (p = .012) significantly predicted patient perceived cognitive deficits. Clinician perceived cognitive performance was significantly predicted by multiple factors: cognitive scores (p < .001), physical disability (p = .011), age (p = .021), and depression (p = .038). CONCLUSION The need to objectively screen for CI in PwMS, regardless of perception, can be aided by a better understanding of the agreement and discrepancies between the patient and clinician regarding perceived cognitive disturbances and the presence of CI defined by a multi-dimensional objective screening battery.
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Affiliation(s)
- Daija A Jackson
- The Chicago School of Professional Psychology, Washington, D.C., USA.
| | | | | | - Jeffrey Wilken
- Washington Neuropsychology Research Group, Fairfax, VA, USA
| | | | | | | | - Myassar Zarif
- South Shore Neurologic Associates, Patchogue, NY, USA
| | - Iris-Katharina Penner
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Laura M Hancock
- University of Wisconsin School of Medicine, Madison, WI, USA; William S. Middleton VA Medical Center, Madison, WI, USA
| | - Daniel Golan
- Multiple Sclerosis and Neuroimmunology Center, Clalit Health Services, Nazareth, Israel; Department of Neurology, Lady Davis Carmel Medical Center, Haifa, Israel; Ruth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel
| | | | - Hans Bogaardt
- School of Allied Health Science and Practice, University of Adelaide, Adelaide, Australia
| | - Marissa Barrera
- Katz School of Science & Health, Yeshiva University, New York, NY, USA
| | - Thomas J Covey
- Department of Neurology, Division of Cognitive and Behavioral Neurosciences, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA; Neuroscience Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
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Taranu D, Tumani H, Holbrook J, Tumani V, Uttner I, Fissler P. The TRACK-MS Test Battery: A Very Brief Tool to Track Multiple Sclerosis-Related Cognitive Impairment. Biomedicines 2022; 10:biomedicines10112975. [PMID: 36428543 PMCID: PMC9687502 DOI: 10.3390/biomedicines10112975] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/12/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022] Open
Abstract
Tracking cognition in patients with multiple sclerosis (MS) is important for detection of disease progression but it is often not performed in routine settings due to time constraints. This exploratory cohort study aims to develop a very brief repeatable tracking tool with comparable test quality criteria to the current gold standard, the Brief International Cognitive Assessment for MS (BICAMS). The study included 88 participants (22 healthy controls, 66 MS patients) who were examined at baseline and at one-year follow-up. As a validity criterion for the six administered cognitive tests, we assessed the difference between MS patients and HC, and the correlation with MS-related disability. Combining the two tests with the highest validity-the Controlled Oral Word Association Test and Symbol Digit Modalities Test-yielded an administration time of 5 min. Comparing this new TRACK-MS test battery with the 15 min BICAMS indicated that TRACK-MS showed larger differences between MS patients and healthy controls, a higher correlation with MS-related disability, smaller practice effects, and a good test-retest reliability. We provide evidence that TRACK-MS, although faster to administer, showed at least comparable quality criteria as the BICAMS. As the study was exploratory, replication of these results is necessary.
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Affiliation(s)
- Daniela Taranu
- Department of Neurology, Faculty of Medicine, Ulm University, D-89071 Ulm, Germany
- Correspondence: (D.T.); (H.T.)
| | - Hayrettin Tumani
- Department of Neurology, Faculty of Medicine, Ulm University, D-89071 Ulm, Germany
- Correspondence: (D.T.); (H.T.)
| | - Jill Holbrook
- Department of Neurology, Faculty of Medicine, Ulm University, D-89071 Ulm, Germany
| | - Visal Tumani
- Department of Psychiatry, Faculty of Medicine, Ulm University, D-89071 Ulm, Germany
| | - Ingo Uttner
- Department of Neurology, Faculty of Medicine, Ulm University, D-89071 Ulm, Germany
| | - Patrick Fissler
- Department of Neurology, Faculty of Medicine, Ulm University, D-89071 Ulm, Germany
- Psychiatric Services Thurgau, CH-8596 Münsterlingen, Switzerland
- University Hospital for Psychiatry and Psychotherapy, Paracelsus Medical University, A-5020 Salzburg, Austria
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