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Retrospective Assessment of Movement Disorder Society Criteria for Mild Cognitive Impairment in Parkinson’s Disease

Published online by Cambridge University Press:  10 February 2015

Andrea M. Loftus*
Affiliation:
ParkC, Curtin Neuroscience Laboratory, School of Psychology and Speech Pathology, Curtin University, Perth, Western Australia
Romola S. Bucks
Affiliation:
ParkC, Curtin Neuroscience Laboratory, School of Psychology and Speech Pathology, Curtin University, Perth, Western Australia School of Psychology, University of Western Australia, Perth, Western Australia
Meghan Thomas
Affiliation:
Medical Sciences, Edith Cowan University, Perth, Western Australia Experimental and Regenerative Neuroscience, School of Animal Biology, University of Western Australia, Western Australia
Robert Kane
Affiliation:
ParkC, Curtin Neuroscience Laboratory, School of Psychology and Speech Pathology, Curtin University, Perth, Western Australia
Caitlin Timms
Affiliation:
ParkC, Curtin Neuroscience Laboratory, School of Psychology and Speech Pathology, Curtin University, Perth, Western Australia
Roger A. Barker
Affiliation:
Department of Clinical Neuroscience, University of Cambridge, Addenbrooke’s Hospital, Cambridge, United Kingdom
Natalie Gasson
Affiliation:
ParkC, Curtin Neuroscience Laboratory, School of Psychology and Speech Pathology, Curtin University, Perth, Western Australia
*
Correspondence and reprint requests to: Andrea Loftus, School of Psychology and Speech Pathology, Curtin University, GPO Box U1987, Perth, WA, 6845. E-mail: [email protected]

Abstract

A Movement Disorder Society (MDS) taskforce recently proposed diagnostic criteria for Parkinson’s disease with features of mild cognitive impairment (PD-MCI). This study first examined the prevalence and nature of PD-MCI in a non-demented cohort using the MDS criteria. Using the generic Monte Carlo simulation method developed by Crawford and colleagues (2007), this study then estimated the base rate of the representative population who would demonstrate PD-MCI due to chance alone. A total of 104 participants with idiopathic PD underwent extensive motor and neuropsychological testing at baseline and 2 years later. The Unified Parkinson’s Disease Rating Scale (UPDRS) was used to assess motor symptoms of PD and a range of established neuropsychological tests was used to assess PD-MCI in accord with MDS criteria. In accord with MDS criteria, 38% of this cohort demonstrated PD-MCI at baseline and 48% at follow-up. Of the 36 participants in the multiple-domain PD-MCI subtype at time-1, 9 (25%) demonstrated no PD-MCI at follow up. Analysis revealed that approximately 13% of the representative population would demonstrate abnormally low scores for 2 of the 9 tests used, thereby meeting MDS criteria for PD-MCI. Clinicians and researchers need to approach a single diagnosis (i.e., based on one assessment) of PD-MCI with considerable caution. (JINS, 2015, 21, 137–145)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2015 

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References

Aarsland, D., Bronnick, K., Williams-Gray, C., Weintraub, D., Marder, K., Kulisevsky, J., & Allcock, L. (2010). Mild cognitive impairment in Parkinson disease: A multicenter pooled analysis. Neurology, 75, 10621069. doi:10.1007/s11910-011-0203-1 Google Scholar
Aarsland, D., Tandberg, E., Larsen, J.P., & Cummings, J.L. (1996). Frequency of dementia in Parkinson’s disease. Archives of Neurology, 53, 538542.Google Scholar
Benton, A.L. (1968). Differential behavioural effects of frontal lobe disease. Neuropsychologia, 6, 5360.Google Scholar
Brandt, J., & Benedict, R.H.B. (2001). Hopkins verbal learning test revised. Lutz, FL: Psychological Assessment Resources.Google Scholar
Broeders, M., de Bie, R.M., Velseboer, D.C., Speelman, J.D., Muslimovic, D., & Schmand, B. (2013). Evolution of mild cognitive impairment in Parkinson Disease. Neurology, 81(4), 346352. doi:10.1212/WNL.0b013e31829c5c86.Google Scholar
Crawford, J.R., Garthwaite, P.H., & Gault, C.B. (2007). Estimating the percentage of thepopulation with abnormally low scores (or abnormally large score differences) on standardized neuropsychological test batteries: A generic method with applications. Neuropsychology, 21(4), 419430. doi:10.1037/0894-4105.21.4.419.Google Scholar
Crum, R.M., Anthony, J.C., Bassett, S.S., & Folstein, M.F. (1993). Population-based norms for the Mini-Mental State Examination by age and educational level. Journal of the American Geriatric Society, 269, 23862391.Google ScholarPubMed
Emre, M., Aarsland, M.D., Brown, R., Burn, D., Duyckaerts, C., Mizuno, Y., & Dubois, B. (2007). Clinical diagnostic criteria for dementia associated with Parkinson’s disease. Movement Disorders, 22(12), 16891707.Google Scholar
Folstein, M.F., Folstein, S.E., & McHugh, P.R. (1975). “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198.Google Scholar
Foltynie, T., Brayne, C.E., Robbins, T.W., & Barker, R.A. (2004). The cognitive ability of an incident cohort of Parkinson’s patients in the UK. The CamPaIGN study. Brain, 127, 550560. doi:10.1093/brain/awh067 Google Scholar
Goetz, C.G., Tilley, B.C., Shaftman, S.R., Stebbins, G.T., Fahn, S., Martinez‐Martin, P., & Dodel, R. (2008). Movement Disorder Society‐sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS‐UPDRS): Scale presentation and clinimetric testing results. Movement Disorders, 23, 21292170. doi:10.1002/mds.22340 Google Scholar
Hennessy, M., & MacKenzie, B. (1995). AUSNART: The development of an Australian version of the NART. In J. Fourez & N. Page (Eds.), Treatment issues and long term outcomes: Proceedings of the Annual Brain Impairment Conference (pp. 183188). Bowen Hill: Australian Academic Press.Google Scholar
Herrera-Guzman, I., Pena-Casanova, J., Lara, J.P., Gudayol-Ferre, E., & Bohm, P. (2004). Influence of age, sex and education on the visual object and space perception battery (VOSP) in a healthy normal elderly population. The Clinical Neuropsychologist, 18, 385394.CrossRefGoogle Scholar
Hester, R.L., Kinsella, G.J., Ong, B., & Turner, M. (2004). Hopkins verbal learning test: Normative data for older Australian adults. Australian Psychologist, 39, 251255. doi:10.1080/00050060412331295063 Google Scholar
Iverson, G.L. (1998). Interpretation of Mini-Mental State Examination scores in community-dwelling elderly and geriatric patients. International Journal of Geriatric Psychiatry, 13, 661666.Google Scholar
Janvin, C.C., Larsen, J.P., Aarsland, D., & Hugdahl, K. (2006). Subtypes of mild cognitive impairment in Parkinson’s disease: Progression to dementia. Movement Disorders, 21, 13431349. doi:10.1177/0891988705277540 CrossRefGoogle ScholarPubMed
Koepsell, T.D., Gill, D.P., & Chen, B. (2013). Stability of clinical etiologic diagnosis in dementia and mild cognitive impairment: Results from a multicenter longitudinal database. American Journal of Alzheimer’s Disease and Other Dementias, 28(8), 750758.CrossRefGoogle ScholarPubMed
Klepac, N., Trkulja, V., Relja, M., & Babić, T. (2008). Is quality of life in non‐demented Parkinson’s disease patients related to cognitive performance? A clinic‐based cross‐sectional study. European Journal of Neurology, 15, 128133. doi:10.1111/j.1468-1331.2007.02011.x CrossRefGoogle ScholarPubMed
Leroi, I., Pantula, H., McDonald, K., & Harbishettar, V. (2012). Neuropsychiatric symptoms in Parkinson’s disease with mild cognitive impairment and dementia. Parkinson’s Disease, 2012, 110.CrossRefGoogle ScholarPubMed
Litvan, I., Aarsland, D., Adler, C.H., Goldman, J.G., Kulisevsky, J., Mollenhauer, B., & Weintraub, D. (2011). MDS task force on mild cognitive impairment in Parkinson’s disease: Critical review of PD‐MCI. Movement Disorders, 26, 18141824. doi:10.1002/mds.23823 Google Scholar
Litvan, I., Goldman, J.G., Tröster, A.I., Schmand, B.A., Weintraub, D., Petersen, R.C., & Williams‐Gray, C.H. (2012). Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Movement Disorders, 27, 349356. doi:10.1002/mds.24893 CrossRefGoogle ScholarPubMed
Poletti, M., Frosini, D., Pagni, C., Baldacci, F., Nicoletti, V., Tognoni, G., & Bonuccelli, U. (2012). Mild cognitive impairment and cognitive-motor relationships in newly diagnosed drug-naive patients with Parkinson’s disease. Journal of Neurology, Neurosurgery, and Psychiatry, 83, 601606.Google Scholar
Rosenthal, E., Brennan, L., Xie, S., Hurtig, H., Milber, J., Weintraub, D., & Siderowf, A. (2010). Association between cognition and function in patients with Parkinson disease with and without dementia. Movement Disorders, 25, 11701176. doi:10.1002/mds.23073 Google Scholar
Schrag, A., Jahanshahi, M., & Quinn, N. (2000). What contributes to quality of life in Parkinson’s Disease? Journal of Neurology, Neurosurgery, and Psychiatry, 69, 308312.CrossRefGoogle Scholar
Strauss, E., Sherman, E.M., & Spreen, O. (2006). A compendium of neuropsychological tests: Administration, norms and commentary (3rd ed.). Oxford: Oxford University Press.Google Scholar
Sullivan, R., Senior, G., & Hennessy, M. (2000). Australian age-education and premorbid cognitive intellectual estimates for the WAIS-III. Paper presented at the 6th National Conference of the APS College of Clinical Neuropsychologists, Hunter Valley, New South Wales, Australia.Google Scholar
Tombaugh, T.N., Kozak, J., & Rees, L. (1999). Normative data stratified by age and education for two measures of verbal learning: FAS and animal naming. Archives of Clinical Psychology, 14, 167177.Google Scholar
Verma, M., & Howard, R.J. (2012). Semantic memory and language dysfunction in early Alzheimer’s disease: A review. International Journal of Geriatric Psychiatry, 27(12), 12091217.CrossRefGoogle ScholarPubMed
Warrington, E.K., & James, M. (1991). The visual object and space perception battery. Bury St Edmunds, United Kingdom: Thames Valley Test Company.Google Scholar
Williams-Gray, C.H., Foltynie, T., Brayne, C., Robbins, T., & Barker, R. (2007). Evolution of cognitive dysfunction in an incident Parkinson’s disease cohort. Brain, 130, 17871798. doi:10.1093/brain/awm111 Google Scholar