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Assessment of Cognitive-Driven Performance-Based Activities of Daily Living Dysfunction in Parkinson’s Disease

Published online by Cambridge University Press:  11 December 2019

Patricia Sulzer Open the ORCID record for Patricia Sulzer [Opens in a new window] ,
Alena Bäumer ,
Huong Giang Hoang ,
Sara Becker ,
Hannah Dorothea Lönneker ,
Elmar Graessel  and
Inga Liepelt-Scarfone
Patricia Sulzer
Affiliation:
Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Straße 27, 72076 Tübingen, Germany German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076 Tübingen, Germany
Alena Bäumer
Affiliation:
Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Straße 27, 72076 Tübingen, Germany German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076 Tübingen, Germany
Huong Giang Hoang
Affiliation:
Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Straße 27, 72076 Tübingen, Germany German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076 Tübingen, Germany
Sara Becker
Affiliation:
Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Straße 27, 72076 Tübingen, Germany German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076 Tübingen, Germany
Hannah Dorothea Lönneker
Affiliation:
Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Straße 27, 72076 Tübingen, Germany German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076 Tübingen, Germany
Elmar Graessel
Affiliation:
Department for Psychiatry and Psychotherapy, Center for Health Services Research in Medicine, University Clinic Erlangen, Schwabachanlage 6, 91054 Erlangen, Germany
Inga Liepelt-Scarfone*
Affiliation:
Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Straße 27, 72076 Tübingen, Germany German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076 Tübingen, Germany
*
*Correspondence and reprint requests to: PD Dr. Inga Liepelt-Scarfone, Hoppe-Seyler-Str. 3, D-72076 Tübingen, Germany. Phone: +4970712980424; Fax: +497071294490. E-mail: [email protected].
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Abstract

Objectives:

Parkinson’s disease (PD) patients with mild cognitive impairment (PD-MCI) have an increased risk of developing dementia (PDD). As activities of daily living (ADL) impairment is mandatory for the diagnosis of PDD, assessing early signs of instrumental ADL (iADL) dysfunction, especially in PD-MCI, is essential. In PD, self- and caregiver-reported iADL performance is often confounded by motor dysfunction and mood. Objective and time-efficient performance-based measurements are needed to screen for cognitive-related iADL dysfunction. We evaluated the Erlangen Test of Activities of Daily Living in Mild Dementia and Mild Cognitive Impairment (ETAM) in PD and determined its value for characterizing a subgroup of PD-MCI patients with mild performance-based iADL impairment.

Methods:

Twenty-one cognitively normal PD patients (PD-NC), 24 PD-MCI patients, and 18 healthy controls (HC) were analyzed. Assessments included the ETAM, a comprehensive neuropsychological test battery, iADL, mood, and motor measurements.

Results:

PD-MCI patients scored significantly lower on the ETAM total score compared to PD-NC patients (p = .002), whereas HC and PD-NC patients did not statistically differ. No HC scored lower than 27 points (diagnostic cutoff for mild iADL impairment); only PD-MCI patients scored below this cutoff (29.2%) suggesting the ETAM is able to characterize a PD-MCI subgroup with early iADL impairment. PD-MCI patients below the cutoff were more impaired in the attention domain (p = .04).

Conclusions:

The ETAM is a potentially valuable clinical assessment, able to detect first signs of iADL dysfunction in PD-MCI. Further studies in larger cohorts are needed to evaluate the prognostic ability for predicting PDD.

Keywords

Cognitive dysfunctionNeuropsychologyAttentionCognitionDisease progressionNeuropsychological tests
Type
Regular Research
Information
Journal of the International Neuropsychological Society , Volume 26 , Issue 4 , April 2020 , pp. 430 - 440
Copyright
Copyright © INS. Published by Cambridge University Press, 2019

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References

REFERENCES

Aarsland, D., & Kurz, M.W. (2010). The epidemiology of dementia associated with Parkinson disease. Journal of the Neurological Sciences, 289(1–2), 18–22.CrossRefGoogle ScholarPubMed
Aarsland, D., Larsen, J.P., Tandberg, E., & Laake, K. (2000). Predictors of nursing home placement in Parkinson’s disease: a population-based, prospective study. Journal of the American Geriatrics Society, 48(8), 938–942. doi:10.1111/j.1532-5415.2000.tb06891.xCrossRefGoogle ScholarPubMed
Aschenbrenner, S., Tucha, O., & Lange, K.W. (2000). Regensburger Wortflüssigkeits-Test: RWT. Göttingen: Hogrefe, Verlag für Psychologie.Google Scholar
Beck, A.T., Steer, R.A., & Brown, G.K. (1996). Beck depression inventory-II. San Antonio, 78(2), 490–498.Google Scholar
Becker, S., Bäumer, A., Maetzler, W., Nussbaum, S., Timmers, M., Van Nueten, L., Salvadore, G., Zaunbrecher, D., Roeben, B., Brockmann, K., & Brockmann, K. (2018). Assessment of cognitive-driven activity of daily living impairment in non-demented Parkinson’s patients. Journal of Neuropsychology. doi:10.1111/jnp.12173Google ScholarPubMed
Benge, J.F. & Balsis, S. (2016). Informant perceptions of the cause of activities of daily living difficulties in Parkinson’s disease. The Clinical Neuropsychologist, 30(1), 82–94. doi:10.1080/13854046.2015.1136690CrossRefGoogle ScholarPubMed
Benton, A.L., Hamsher, K., Varney, N.R., & Spreen, O. (1983). Judgment of line orientation. New York: Oxford University Press.Google Scholar
Beyle, A., Glonnegger, H., Cerff, B., Gräber, S., Berg, D., & Liepelt-Scarfone, I. (2018). The Multiple Object Test as a performance-based tool to assess the decline of ADL function in Parkinson’s disease. PloS one, 13(8), e0200990.CrossRefGoogle ScholarPubMed
Brennan, L., Siderowf, A., Rubright, J.D., Rick, J., Dahodwala, N., Duda, J.E., Hurtig, H., Stern, M., Xie, S.X., Rennert, L. & Karlawish, J. (2016). The Penn Parkinson’s Daily Activities Questionnaire-15: Psychometric properties of a brief assessment of cognitive instrumental activities of daily living in Parkinson’s disease. Parkinsonism & Related Disorders, 25, 21–26.CrossRefGoogle ScholarPubMed
Brickenkamp, R., Schmidt-Atzert, L., & Liepmann, D. (2010). d2-R: Test d2–Revision. Göttingen: Hogrefe.Google Scholar
Bronnick, K., Ehrt, U., Emre, M., De Deyn, P.P., Wesnes, K., Tekin, S., & Aarsland, D. (2006). Attentional deficits affect activities of daily living in dementia-associated with Parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 77(10), 1136–1142. doi:10.1136/jnnp.2006.093146CrossRefGoogle ScholarPubMed
Cahn, D.A., Sullivan, E.V., Shear, P.K., Pfefferbaum, A., Heit, G., & Silverberg, G. (1998). Differential contributions of cognitive and motor component processes to physical and instrumental activities of daily living in Parkinson’s disease. Archives of Clinical Neuropsychology, 13(7), 575–583.Google ScholarPubMed
Cheon, S.-M., Park, K.W., & Kim, J.W. (2015). Identification of daily activity impairments in the diagnosis of Parkinson disease dementia. Cognitive and Behavioral Neurology, 28(4), 220–228. doi:10.1097/WNN.0000000000000081CrossRefGoogle Scholar
Christ, J.B., Berger, M.F., Riedl, E., Prakash, D., Csoti, I., Molt, W., Gräber, S., Brockmann, K., Berg, D., & Liepelt-Scarfone, I. (2013). How precise are activities of daily living scales for the diagnosis of Parkinson’s disease dementia? A pilot study. Parkinsonism & Related Disorders, 19(3), 371–374.CrossRefGoogle Scholar
Cohen, J. (1988). Statistical power analysis for the behaviors science (2nd ed.). Hillsdale, NJ: Laurence Erlbaum Associates, Publishers.Google Scholar
de Lau, L.M., Verbaan, D., Marinus, J., & van Hilten, J.J. (2014). Survival in Parkinson’s disease. Relation with motor and non-motor features. Parkinsonism & Related Disorders, 20(6), 613–616. doi:10.1016/j.parkreldis.2014.02.030CrossRefGoogle ScholarPubMed
Deck, B.L., Xie, S.X., Choi, G., Rick, J., Siderowf, A., Rudovsky, S., Chen-Plotkin, A., Duda, J.E., Morley, J.F., Dahodwala, N. & Trojanowski, J.Q. (2019). Cognitive functional abilities in Parkinson’s disease: Agreement between patients and informants. Movement Disorders Clinical Practice, 6(6), 440–445.CrossRefGoogle ScholarPubMed
Fellows, R.P. & Schmitter-Edgecombe, M. (2019). Multimethod assessment of everyday functioning and memory abilities in Parkinson’s disease. Neuropsychology, 33(2), 169.CrossRefGoogle ScholarPubMed
Foster, E.R. (2014). Instrumental activities of daily living performance among people with Parkinson’s disease without dementia. American Journal of Occupational Therapy, 68(3), 353–362. doi:10.5014/ajot.2014.010330CrossRefGoogle ScholarPubMed
Glonnegger, H., Beyle, A., Cerff, B., Gräber, S., Csoti, I., Berg, D., & Liepelt-Scarfone, I. (2016). The multiple object test as a performance based tool to assess cognitive driven activity of daily living function in Parkinson’s disease. Journal of Alzheimer’s Disease, 53(4), 1475–1484. doi:10.3233/JAD-160173CrossRefGoogle ScholarPubMed
Harris, P.A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J.G. (2009). Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42(2), 377–381. doi:10.1016/j.jbi.2008.08.010CrossRefGoogle ScholarPubMed
Higginson, C.I., Lanni, K., Sigvardt, K.A., & Disbrow, E.A. (2013). The contribution of trail making to the prediction of performance-based instrumental activities of daily living in Parkinson’s disease without dementia. Journal of Clinical and Experimental Neuropsychology, 35(5), 530–539. doi:10.1080/13803395.2013.798397CrossRefGoogle ScholarPubMed
Hindmarch, I., Lehfeld, H., de Jongh, P., & Erzigkeit, H. (1998). The Bayer activities of daily living scale (B-ADL). Dementia and Geriatric Cognitive Disorders, 9(Suppl. 2), 20–26. doi:10.1159/000051195CrossRefGoogle Scholar
Hinkle, D.E., Wiersma, W., & Jurs, S.G. (1988). Applied statistics for the behavioral sciences. Boston: Houghton-Mifflin.Google Scholar
Holden, S.K., Medina, L.D., Hoyt, B., Sillau, S.H., Berman, B.D., Goldman, J.G., Weintraub, D., & Kluger, B.M. (2018). Validation of a performance-based assessment of cognitive functional ability in Parkinson’s disease. Movement Disorders, 33(11), 1760–1768. doi:10.1002/mds.27487CrossRefGoogle ScholarPubMed
Hughes, A.J., Daniel, S.E., Kilford, L., & Lees, A.J. (1992). Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: A clinico-pathological study of 100 cases. Journal of Neurology, Neurosurgery & Psychiatry, 55(3), 181–184.CrossRefGoogle ScholarPubMed
Kalbe, E. (2002). Aphasie-Check-Liste (ACL): Protokollheft, Testheft, Lösungsfolien, Vorlagen, Manual. Göttingen: ProLog, Therapie-und Lernmittel.Google Scholar
Kempen, G.I., Steverink, N., Ormel, J., & Deeg, D.J. (1996). The assessment of ADL among frail elderly in an interview survey: Self-report versus performance-based tests and determinants of discrepancies. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 51(5), P254–P260. doi:10.1093/geronb/51B.5.P254CrossRefGoogle Scholar
Lawson, R.A., Yarnall, A.J., Duncan, G.W., Breen, D.P., Khoo, T.K., Williams-Gray, C.H., Barker, R.A., & Burn, D.J. (2017). Stability of mild cognitive impairment in newly diagnosed Parkinson’s disease. J Neurol Neurosurg Psychiatry, 88(8), 648–652. doi:10.1136/jnnp-2016-315099CrossRefGoogle ScholarPubMed
Leroi, I., McDonald, K., Pantula, H., & Harbishettar, V. (2012). Cognitive impairment in Parkinson disease: Impact on quality of life, disability, and caregiver burden. Journal of Geriatric Psychiatry and Neurology, 25(4), 208–214.CrossRefGoogle ScholarPubMed
Litvan, I., Aarsland, D., Adler, C.H., Goldman, J.G., Kulisevsky, J., Mollenhauer, B., Rodriguez-Oroz, M.C., & Weintraub, D. (2011). MDS task force on mild cognitive impairment in Parkinson’s disease: Critical review of PD-MCI. Movement Disorders, 26(10), 1814–1824. doi:10.1002/mds.23823CrossRefGoogle ScholarPubMed
Litvan, I., Goldman, J.G., Tröster, A.I., Schmand, B.A., Weintraub, D., Petersen, R.C., Mollenhauer, B., Adler, C.H., Marder, K., Williams-Gray, C.H., & Aarsland, D. (2012). Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Movement Disorders, 27(3), 349–356. doi:10.1002/mds.24893CrossRefGoogle ScholarPubMed
Luttenberger, K., Reppermund, S., Schmiedeberg-Sohn, A., Book, S., & Graessel, E. (2016). Validation of the Erlangen test of activities of daily living in persons with mild dementia or mild cognitive impairment (ETAM). BMC Geriatrics, 16(1), 111. doi:10.1186/1471-244X-12-208CrossRefGoogle Scholar
Mack, W.J., Freed, D.M., Williams, B.W., & Henderson, V.W. (1992). Boston Naming Test: shortened versions for use in Alzheimer’s disease. Journal of Gerontology, 47(3), P154–P158. doi:10.1093/geronj/47.3.P154CrossRefGoogle ScholarPubMed
Maeshima, S., Itakura, T., Nakagawa, M., Nakai, K., & Komai, N. (1997). Visuospatial impairment and activities of daily living in patients with Parkinson’s disease: A quantitative assessment of the cube-copying Task1. American Journal of Physical Medicine & Rehabilitation, 76(5), 383–388.CrossRefGoogle Scholar
Martin, R.C., Triebel, K.L., Kennedy, R.E., Nicholas, A.P., Watts, R.L., Stover, N.P., Brandon, M., & Marson, D.C. (2013). Impaired financial abilities in Parkinson’s disease patients with mild cognitive impairment and dementia. Parkinsonism & Related Disorders, 19(11), 986–990.CrossRefGoogle ScholarPubMed
Martinez-Martin, P. (2013). Dementia in Parkinson’s disease: Usefulness of the pill questionnaire. Movement Disorders, 28(13), 1832–1837.CrossRefGoogle ScholarPubMed
Nasreddine, Z.S., Phillips, N.A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J.L., & Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. doi:10.1111/j.1532-5415.2005.53221.xCrossRefGoogle ScholarPubMed
Nelson, H.E. (1976). A modified card sorting test sensitive to frontal lobe defects. Cortex, 12(4), 313–324. doi:10.1016/S0010-9452(76)80035-4CrossRefGoogle ScholarPubMed
Niemann, H., Sturm, W., Thöne-Otto, A., & Willmes, K. (2008). CVLT–California verbal learning test–Deutsche adaptation. Göttingen: Hogrefe.Google Scholar
Osterrieth, P.A. (1944). Le test de copie d’une figure complexe; contribution à l'étude de la perception et de la mémoire. Archives de Psychologie, 30, 286–356.Google Scholar
Pedersen, K.F., Larsen, J.P., Tysnes, O.-B., & Alves, G. (2013). Prognosis of mild cognitive impairment in early Parkinson disease: the Norwegian ParkWest study. JAMA Neurology, 70(5), 580–586. doi:10.1001/jamaneurol.2013.2110CrossRefGoogle ScholarPubMed
Pedersen, K.F., Larsen, J.P., Tysnes, O.-B., & Alves, G. (2017). Natural course of mild cognitive impairment in Parkinson disease: A 5-year population-based study. Neurology, 88(8), 767–774.CrossRefGoogle ScholarPubMed
Pfeffer, R., Kurosaki, T., Harrah, C. Jr, Chance, J., & Filos, S. (1982). Measurement of functional activities in older adults in the community. Journal of Gerontology, 37(3), 323–329. doi:10.1093/geronj/37.3.323CrossRefGoogle Scholar
Pirogovsky, E., Martinez-Hannon, M., Schiehser, D.M., Lessig, S.L., Song, D.D., Litvan, I., & Filoteo, J.V. (2013). Predictors of performance-based measures of instrumental activities of daily living in nondemented patients with Parkinson’s disease. Journal of Clinical and Experimental Neuropsychology, 35(9), 926–933.CrossRefGoogle ScholarPubMed
Pirogovsky, E., Schiehser, D.M., Obtera, K.M., Burke, M.M., Lessig, S.L., Song, D.D., Litvan, I., & Filoteo, J.V. (2014). Instrumental activities of daily living are impaired in Parkinson’s disease patients with mild cognitive impairment. Neuropsychology, 28(2), 229. doi:10.1037/neu0000045CrossRefGoogle ScholarPubMed
Pirogovsky, E., Woods, S.P., Filoteo, J.V., & Gilbert, P.E. (2012). Prospective memory deficits are associated with poorer everyday functioning in Parkinson’s disease. Journal of the International Neuropsychological Society, 18(6), 986–995.CrossRefGoogle ScholarPubMed
Rey, A. (1941). L’examen psychologique dans les cas d’encéphalopathie traumatique. (Les problems.). Archives de Psychologie, 28, 215–285.Google Scholar
Roll, E.E., Giovannetti, T., Libon, D.J., & Eppig, J. (2019). Everyday task knowledge and everyday function in dementia. Journal of Neuropsychology, 13(1), 96–120.CrossRefGoogle ScholarPubMed
Schmiedeberg-Sohn, A., Graessel, E., & Luttenberger, K. (2015). A direct performance test for assessing activities of daily living in patients with Mild Degenerative Dementia: The development of the ETAM and preliminary results. Dementia and Geriatric Cognitive Disorders Extra, 5(1), 74–84. doi:10.1159/000369550CrossRefGoogle ScholarPubMed
Shulman, L.M., Pretzer-Aboff, I., Anderson, K.E., Stevenson, R., Vaughan, C.G., Gruber-Baldini, A.L., Reich, S.G., & Weiner, W.J. (2006). Subjective report versus objective measurement of activities of daily living in Parkinson’s disease. Movement disorders, 21(6), 794–799.CrossRefGoogle ScholarPubMed
Tomlinson, C.L., Stowe, R., Patel, S., Rick, C., Gray, R., & Clarke, C.E. (2010). Systematic review of levodopa dose equivalency reporting in Parkinson’s disease. Movement Disorders, 25(15), 2649–2653.CrossRefGoogle ScholarPubMed
von Aster, M., Neubauer, A., & Horn, R.v. (2006). Wechsler Intelligenztest für Erwachsene: WIE; Übersetzung und Adaption der WAIS-III. Frankfurt: Harcourt Test Services.Google Scholar
Woodcock, R.W. & Dahl, M.N. (1971). A common scale for the measurement of person ability and test item difficulty. AGS Paper, 10(Circle Pines). Frankfurt, MN: American Guidance Service.Google Scholar
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