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Role of Demographic and Clinical Factors in Cognitive Functioning of Persons with Relapsing-Remitting and Progressive Multiple Sclerosis

Published online by Cambridge University Press:  23 August 2017

Silvana L. Costa ,
John DeLuca ,
Brian M. Sandroff ,
Yael Goverover  and
Nancy D. Chiaravalloti
Silvana L. Costa
Affiliation:
Kessler Foundation, Neuropsychology and Neuroscience Laboratory, East Hanover, New Jersey Rutgers, New Jersey Medical School, Department of Physical Medicine and Rehabilitation, Newark, New Jersey
John DeLuca
Affiliation:
Kessler Foundation, Neuropsychology and Neuroscience Laboratory, East Hanover, New Jersey Rutgers, New Jersey Medical School, Department of Physical Medicine and Rehabilitation, Newark, New Jersey Rutgers, New Jersey Medical School, Department of Neurology, Newark, New Jersey
Brian M. Sandroff
Affiliation:
Kessler Foundation, Neuropsychology and Neuroscience Laboratory, East Hanover, New Jersey Rutgers, New Jersey Medical School, Department of Physical Medicine and Rehabilitation, Newark, New Jersey
Yael Goverover
Affiliation:
Kessler Foundation, Neuropsychology and Neuroscience Laboratory, East Hanover, New Jersey New York University, New York, New York
Nancy D. Chiaravalloti*
Affiliation:
Kessler Foundation, Neuropsychology and Neuroscience Laboratory, East Hanover, New Jersey Rutgers, New Jersey Medical School, Department of Physical Medicine and Rehabilitation, Newark, New Jersey
*
Correspondence and reprint requests to: Nancy D. Chiaravalloti, 120 Eagle Rock Avenue, Suite 100, East Hanover NJ 07936-3147. E-mail: [email protected]
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Abstract

Background: Age and time post-diagnosis can significantly impact cognitive and motor functions in multiple sclerosis (MS); however, studies often fail to account for these factors when assessing differences between disease courses. Objectives: Examine differences between relapsing-remitting and progressive MS in cognition, motor function, and everyday activities, controlling for age, education, and time post-diagnosis. Methods: Twenty-one persons with relapsing-remitting MS (RRMS group), 21 with progressive MS (PMS group), and 21 healthy participants (HCs), matched on age, education, and time post-diagnosis, completed tests of cognitive abilities, motor functions, and everyday functional activities. Results: The two groups with MS did not differ on cognitive performance. Poorer performance in processing speed was noted in both MS groups in comparison with the HC group. Motor function was worse for the PMS group compared with the HC and RRMS groups. The RRMS group showed poorer upper limb functioning compared to the HC group. The PMS group had more difficulty with everyday activities as compared with both the RRMS and HC group. Conclusions: When comparing differences in functioning between MS disease courses, attention should be paid to the demographic characteristics of the samples. (JINS, 2018, 24, 139–146)

Keywords

Cognitive functionsDaily life activitiesMultiple sclerosisDisease durationDemographic factorsClinical factors
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 24 , Issue 2 , February 2018 , pp. 139 - 146
Copyright
Copyright © The International Neuropsychological Society 2017 

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References

Achiron, A., Chapman, J., Magalashvili, D., Dolev, M., Lavie, M., Bercovich, E., & Barak, Y. (2013). Modeling of cognitive impairment by disease duration in multiple sclerosis: A cross-sectional study. PLoS One, 8(8), e71058. doi:10.1371/journal.pone.0071058 CrossRefGoogle ScholarPubMed
Amato, M.P., Portaccio, E., Goretti, B., Zipoli, V., Iudice, A., Della Pina, D., & De Stefano, N. (2010). Relevance of cognitive deterioration in early relapsing-remitting MS: A 3-year follow-up study. Multiple Sclerosis, 16(12), 1474–1482. doi:10.1177/1352458510380089 Google Scholar
Arnett, P.A., Smith, M.M., Barwick, F.H., Benedict, R.H.B., & Ahlstrom, B.P. (2008). Oralmotor slowing in multiple sclerosis: Relationship to neuropsychological tasks requiring an oral response. Journal of the International Neuropsychological Society, 14(3), 454–462. doi:10.1017/S1355617708080508CrossRefGoogle ScholarPubMed
Barker-Collo, S.L. (2006). Quality of life in multiple sclerosis: Does information-processing speed have an independent effect? Archives of Clinical Neuropsychology, 21, 167–174. doi:10.1016/j.acn.2005.08.008 CrossRefGoogle ScholarPubMed
Baum, C.M., Connor, L.T., Morrison, T., Hahn, M., Dromerick, A.W., & Edwards, D.F. (2008). Reliability, validity, and clinical utility of the Executive Function Performance Test: A measure of executive function in a sample of people with stroke. The American Journal of Occupational Therapy, 62(4), 446–455. doi:10.5014/ajot.62.4.446 Google Scholar
Benedict, R.H.B., Holtzer, R., Motl, R.W., Foley, F.W., Kaur, S., Hojnacki, D., & Weinstock-Guttman, B. (2011). Upper and lower extremity motor function and cognitive impairment in multiple sclerosis. Journal of the International Neuropsychological Society, 17(4), 643–653. doi:10.1017/S1355617711000403 CrossRefGoogle ScholarPubMed
Brissart, H., Morele, E., Bauman, C., Le Perf, M., Leininger, M., Taillemite, L., & Debouverie, M. (2013). Cognitive impairment among different clinical courses of multiple sclerosis. Neurological Research, 35(8), 867–872. doi:10.1179/1743132813Y.0000000232 CrossRefGoogle ScholarPubMed
Buschke, H., & Fuld, P.A. (1974). Evaluating storage, retention, and retrieval in disordered memory and learning. Neurology, 24, 1019–1025.CrossRefGoogle ScholarPubMed
Chiaravalloti, N.D., & DeLuca, J. (2008). Cognitive impairment in multiple sclerosis. The Lancet. Neurology, 7, 1139–1151. doi:10.1016/S1474-4422(08)70259-X CrossRefGoogle ScholarPubMed
Costa, S.L., Genova, H.M., DeLuca, J., & Chiaravalloti, N.D. (2017). Information processing speed in multiple sclerosis: Past, present, and future. Multiple Sclerosis, 23, 772–789. doi:10.1177/1352458516645869 Google Scholar
Cutter, G.R., Baier, M.L., Rudick, R.A., Cookfair, D.L., Fischer, J.S., Petkau, J., & Willoughby, E. (1999). Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain, 122(5), 871–882. doi:10.1093/brain/122.5.871 CrossRefGoogle ScholarPubMed
Elahipanah, A., Christensen, B.K., & Reingold, E.M. (2011). What can eye movements tell us about symbol digit substitution by patients with schizophrenia? Schizophrenia Research, 127(1–3), 137–143. doi:10.1016/j.schres.2010.11.018 Google Scholar
Golden, J. (1976). Identification of brain disorders by the Stroop color and word test. Journal of Clinical Psychology, 32(3), 654–658.3.0.CO;2-Z>CrossRefGoogle ScholarPubMed
Golden, L.C., & Voskuhl, R. (2017). The importance of studying sex differences in disease: The example of multiple sclerosis. Journal of Neuroscience Research, 95(1–2), 633–643. doi:10.1002/jnr.23955 Google Scholar
Goldman, M.D., Motl, R.W., Scagnelli, J., Pula, J.H., Sosnoff, J.J., & Cadavid, D. (2013). Clinically meaningful performance benchmarks in MS:Timed 25-Foot Walk and the real world. Neurology, 81(21), 1856–1863. doi:10.1212/01.wnl.0000436065.97642.d2 Google Scholar
Goverover, Y., Haas, S., & DeLuca, J. (2016). Money management activities in persons with multiple sclerosis. Archives of Physical Medicine and Rehabilitation, 97, 1901–1907. doi:10.1016/j.apmr.2016.05.003 CrossRefGoogle ScholarPubMed
Goverover, Y., O’Brien, A.R., Moore, N.B., & DeLuca, J. (2010). Actual reality: A new approach to functional assessment in persons with multiple sclerosis. Archives of Physical Medicine and Rehabilitation, 91(2), 252–260. doi:10.1016/j.apmr.2009.09.022 Google Scholar
Goverover, Y., Strober, L., Chiaravalloti, N., & DeLuca, J. (2015). Factors that moderate activity limitation and participation restriction in people with multiple sclerosis. The American Journal of Occupational Therapy, 69(2), p1–p9. doi:10.5014/ajot.2015.014332 CrossRefGoogle ScholarPubMed
Gronwall, D. (1977). Paced Auditory Serial-Addition Task: A measure of recovery from concussion. Perceptual and Motor Skills, 44, 367–373.CrossRefGoogle ScholarPubMed
Heaton, R.K., Chelune, G.J., Talley, J.L., Kay, G.G., & Curtiss, G. (2000). Wiscosin Card Sorting Test. Lutz, FL: PAR.Google Scholar
Huijbregts, S.C.J., Kalkers, N.F., de Sonneville, L.M.J., de Groot, V., Reuling, I.E.W., & Polman, C.H. (2004). Differences in cognitive impairment of relapsing remitting, secondary, and primary progressive MS. Neurology, 63(2), 335–339. doi:10.1212/01.WNL.0000129828.03714.90.Google Scholar
Kalmar, J., Gaudino, E., Moore, N., Halper, J., & DeLuca, J. (2008). The relationship between cognitive deficits and everyday functional activities in multiple sclerosis. Neuropsychology, 22(4), 442–449.Google Scholar
LaRocca, N.G. (2011). Impact of walking impairment in multiple sclerosis: Perspectives of patients and care partners. Patient, 4, 189–201. doi:10.2165/11591150-000000000-00000 CrossRefGoogle ScholarPubMed
Lublin, F.D., Reingold, S.C., Cohen, J.A., Cutter, G.R., Sørensen, P.S., Thompson, A.J., & Polman, C.H. (2014). Defining the clinical course of multiple sclerosis: The 2013 revisions. Neurology, 83, 278–286. doi:10.1212/WNL.0000000000000560 CrossRefGoogle ScholarPubMed
Markowitz, C.E. (2014). Multiple sclerosis update. International Journal of MS Care, 16, 5–11.Google Scholar
Motl, R.W. (2013). Ambulation and multiple sclerosis. Physical Medicine and Rehabilitation Clinics of North America, 24, 325–336. doi:10.1016/j.pmr.2012.11.004 Google Scholar
Nygaard, G.O., De Rodez Benavent, S.A., Harbo, H.F., Laeng, B., Sowa, P., Damangir, S., & Celius, E. G. (2015). Eye and hand motor interactions with the Symbol Digit Modalities Test in early multiple sclerosis. Multiple Sclerosis and Related Disorders, 4(6), 585–589. doi:10.1016/j.msard.2015.08.003 Google Scholar
Poser, C.M., Paty, D.W., Scheinberg, L., McDonald, W.I., Davis, F.A., Ebers, G.C., & Tourtellotte, W.W. (1983). New diagnostic criteria for multiple sclerosis: Guidelines for research protocols. Annals of Neurology, 13(3), 227–231. doi:10.1002/ana.410130302 Google Scholar
Ruet, A., Deloire, M., Charré-Morin, J., Hamel, D., & Brochet, B. (2013). Cognitive impairment differs between primary progressive and relapsing-remitting MS. Neurology, 80(16), 1501–1508. doi:10.1212/WNL.0b013e31828cf82f Google Scholar
Sandroff, B.M., Dlugonski, D., Pilutti, L.A., Pula, J.H., Benedict, R.H.B., & Motl, R.W. (2014). Physical activity is associated with cognitive processing speed in persons with multiple sclerosis. Multiple Sclerosis and Related Disorders, 3(1), 123–128. doi:10.1016/j.msard.2013.04.003.Google Scholar
Smith, A. (1991). Symbol digit modalities test. Los Angeles: Western Psychological Services.Google Scholar
Strober, L., Chiaravalloti, N., Moore, N., & DeLuca, J. (2014). Unemployment in multiple sclerosis (MS): Utility of the MS Functional Composite and cognitive testing. Multiple Sclerosis, 20, 112–115. doi:10.1177/1352458513488235 CrossRefGoogle ScholarPubMed
Synhaeve, N.E., Schaapsmeerders, P., Arntz, R.M., Maaijwee, N.A.M., Rutten-Jacobs, L.C.A., Schoonderwaldt, H.C., & De Leeuw, F.E. (2015). Cognitive performance and poor long-term functional outcome after young stroke. Neurology, 85(9), 776–782. doi:10.1212/WNL.0000000000001882 Google Scholar
Van Asch, P. (2011). Impact of mobility impairment in multiple sclerosis 2 – Patients’ perspectives. European Neurological Review, 6(2), 115–120. doi:10.17925/ENR.2011.06.02.115 Google Scholar
Wachowius, U., Talley, M., Silver, N., Heinze, H.-J., & Sailer, M. (2005). Cognitive impairment in primary and secondary progressive multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 27(1), 65–77. doi:10.1080/138033990513645 CrossRefGoogle ScholarPubMed
Wechsler. (1981). Wechsler Adult Intelligence Scale. New York: Psychological Corporation.Google Scholar
Wilkinson, G.S. (1993). WRAT–3 administration manual. Wilmington, DE: Wide Range.Google Scholar
Yozbatiran, N., Baskurt, F., Baskurt, Z., Ozakbas, S., & Idiman, E. (2006). Motor assessment of upper extremity function and its relation with fatigue, cognitive function and quality of life in multiple sclerosis patients. Journal of the Neurological Sciences, 246(1–2), 117–122.CrossRefGoogle ScholarPubMed