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Performance of three cognitive screening tools in a sample of older New Zealanders

Published online by Cambridge University Press:  20 January 2015

G. Cheung*
Affiliation:
Department of Psychological Medicine, The University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland 1142, New Zealand
A. Clugston
Affiliation:
Auckland District Health Board, Private Bag 92189, Auckland Mail Centre, Auckland 1142, New Zealand
M. Croucher
Affiliation:
Princess Margaret Hospital, PO Box 800, Cashmere, Christchurch, New Zealand
D. Malone
Affiliation:
Rotorua Hospital, Private Bag 3023, Rotorua Mail Centre, Rotorua 3046, New Zealand
E. Mau
Affiliation:
Waikato Hospital, Private Bag 3200, Hamilton 3240, New Zealand
A. Sims
Affiliation:
Wellington Hospital, Private Bag 7902. Wellington South, New Zealand
S. Gee
Affiliation:
Princess Margaret Hospital, PO Box 800, Cashmere, Christchurch, New Zealand
*
Correspondence should be addressed to: Gary Cheung Postal Address: Private Bag 92019, Auckland Mail Centre, Auckland 1142, New Zealand. Phone: +64 9 373 7599; Fax: +64 9 373 7013. Email: [email protected].

Abstract

Background:

With the ubiquitous Mini-Mental State Exam now under copyright, attention is turning to alternative cognitive screening tests. The aim of the present study was to investigate three common cognitive screening tools: the Montreal Cognitive Assessment (MoCA), the Rowland Universal Dementia Assessment Scale (RUDAS), and the recently revised Addenbrooke's Cognitive Assessment Version III (ACE-III).

Methods:

The ACE-III, MoCA and RUDAS were administered in random order to a sample of 37 participants with diagnosed mild dementia and 47 comparison participants without dementia. The diagnostic accuracy of the three tests was assessed.

Results:

All the tests showed good overall accuracy as assessed by area under the ROC Curve, 0.89 (95% CI = 0.80–0.95) for the ACE-III, 0.84 (0.75–0.91) for the MoCA, and 0.86 (0.77–0.93) for RUDAS. The three tests were strongly correlated: r(84) = 0.85 (0.78–0.90) between the ACE-III and MoCA, 0.70 (0.57–0.80) between the ACE-III and RUDAS; and 0.65 (0.50–0.76) between the MoCA and RUDAS. The data derived optimal cut-off points for were lower than the published recommendations for the ACE-III (optimal cut-point ≤76, sensitivity = 81.1%, specificity = 85.1%) and the MoCA (≤20, sensitivity = 78.4%, specificity = 83.0%), but similar for the RUDAS (≤22, sensitivity = 78.4%, specificity = 85.1%).

Conclusions:

All three tools discriminated well overall between cases of mild dementia and controls. To inform interpretation of these tests in clinical settings, it would be useful for future research to address more inclusive and potentially age-stratified local norms.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2015 

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References

Ballard, C., Burns, A., Corbett, A., Livingston, G. and Rasmussen, J. (2013). Helping You to Assess Cognition: A Practical Toolkit for Clinicians. London, UK: Alzheimers UK.Google Scholar
Banerjee, S. et al. (2006). Quality of life in dementia: more than just cognition. Journal of Neurology, Neurosurgery and Psychiatry, 77, 146148.Google Scholar
Basic, D. et al. (2009). The validity of the Rowland universal dementia assessment scale (RUDAS) in a multicultural cohort of community-dwelling older persons with early dementia. Alzheimer Disease and Associated Disorders, 23, 124129.Google Scholar
Callow, L. M. (2013). Assessing Cognitive Function in Older Adults and its Relationship to Quality of Life. PhD thesis. Wellington, NZ: Massey University. Available at: http://muir.massey.ac.nz/bitstream/handle/10179/5117/01_front.pdf?sequence=1.Google Scholar
Dalrymple-Alford, J. C. et al. (2010). The MoCA: well-suited screen for cognitive impairment in Parkinson disease. Neurology, 75, 17171725.Google Scholar
DeLong, E. R., DeLong, D. M. and Clarke-Pearson, D. L. (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics, 44, 837845.Google Scholar
Field, A. (2009). Discovering Statistics using SPSS, 3rd edn, London, UK: SAGE.Google Scholar
Folstein, M. F. et al. (1975). “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–98.Google Scholar
Freitas, S., Simoes, M., Alves, L. and Santana, I. (2011). Montreal cognitive assessment: normative data for the Portuguese population. Journal of Clinical and Experimental Neuropsychology, 33, 989996.Google Scholar
Freitas, S., Simoes, M., Alves, L. and Santana, I. (2013). Montreal cognitive assessment: validation study for mild cognitive impairment and Alzheimer disease. Alzheimer Disease and Associated Disorders, 27, 3743.CrossRefGoogle ScholarPubMed
Furukawa, T. A., Strauss, S., Buscher, H. C. and Guyatt, G. (2008). Diagnostoic tests. In Guyatt, G. and Rennie, D. (eds.), Users’ Guides to the Medical Literature: Essentials of Evidence-Based Clinical Practice, 2nd edn., (pp.195222). Chicago: AMA Press.Google Scholar
Garcia-Caballero, A. et al. (2006). Validation of the Spanish version of the Addenbrooke's cognitive examination in a rural community in Spain. International Journal of Geriatric Psychiatry, 21, 239245.CrossRefGoogle Scholar
Hoops, S. et al. (2009). Validity of the MoCA and MMSE in the detection of MCI and dementia in Parkinson disease. Neurology, 73, 17381745.Google Scholar
Hseih, S. et al. (2013).Validation of the Addrenbrooke's cognitive examination III in frontotemporal dementia and Alzheimer's disease. Dementia and Geriatric Cognitive Disorders, 36, 242–50.Google Scholar
Kwak, Y. T., Yang, Y. and Kim, G. W. (2010). Korean Addenbrooke's cognitve examination revised (K-ACER) for differential diagnosis of Alzheimer's disease and subcortical ishemic vascular dementia. Geriatrics and Gerontology International, 10, 295301.CrossRefGoogle Scholar
Larner, A. (2007). Addenbrooke's cognitive examination – revised (ACE-R) in day-to-day clinical practice. Age and Ageing, 36, 685686.Google Scholar
Leeflang, M. M., Deeks, J. J., Gatsonis, C. and Bossuyt, P. M. (2008). Systematic reviews of diagnostic test accuracy. Annals of Internal Medicine, 149, 889897.CrossRefGoogle ScholarPubMed
Mathuranath, P., Cherian, P., Matthew, R., George, A. and Sarama, P. (2006). The Addenbrooke's cognitive examination: norms and validation for a multicultural Indian population. Alzheimers and Dementia, 2, 258.CrossRefGoogle Scholar
McDowell, I. (2006). Measuring Health: a Guide to Rating Scales and Questionnaires. New York: Oxford University Press.Google Scholar
Ministry of Health (2013). New Zealand Framework for Dementia Care. Wellington, NZ: Ministry of Health.Google Scholar
Mioshi, E. et al. (2006). The Addenbrooke's cognitive examination revised (ACE-R): a brief cognitive cognitive test battery for dementia screening. International Journal of Geriatric Psychiatry, 21, 10781085.Google Scholar
Nasreddine, Z. et al. (2005). The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatric Society, 53, 695699.CrossRefGoogle Scholar
Newman, J. C. and Feldman, R. (2011). Copyright and open access at the bedside. New England Medical Journal, 365, 24472449.Google Scholar
Pang, J. et al. (2009). Comparison of the MMSE and RUDAS cognitive screening tools in an elderly inpatient population in everyday clincial use. Internal Medicine Journal, 39, 411–4.Google Scholar
PAR (2014). Mini-Mental® State Examination (MMSE®). Retrieved 21st March 2014 from http://www4.parinc.com/Products/Product.aspx?ProductID=MMSE.Google Scholar
Pigliautile, M. et al. (2011). Validation study of the Italian Addenbrooke's cognitive examination revised in a young-old and old-old population. Dementia and Geriatric Cognitive Disorders, 32, 301–7.Google Scholar
Roalf, D. et al. (2013). Comparative accuracies of two common screening instruments for classification of Alzheimer's disease, mild cognitive impairment, and healthy aging. Alzheimers Dementia, 9, 529–37.Google Scholar
Rossetti, H. C., Lacritz, L. H., Cullum, C. M. and Weiner, M. F. (2011). Normative data for the montreal cognitive assessment (MoCA) in a population-based sample. Neurology, 77, 12721275.CrossRefGoogle Scholar
Rowland, J., et al. (2007). A Study to Validate the Rowland Universal Dementia Assessment Scale (RUDAS) in Two Populations Outside the Sydney South West Area Health Service. Sydney, AU: South West Sydney Health Service and National Ageing Research Institute.Google Scholar
Sansoni, J., Marosszeky, N., Fleming, G. and Sansoni, E. (2010). Selecting Tools for ACAT Assessment: a Report for the Aged Care Assessment Program (ACAP) Expert Clinical Reference Group. Canberra, AU: Department of Health and Ageing.Google Scholar
Sheikh, J. I. and Yesavage, J. A. (1986). Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. In Brink, T. L. (ed.), Clinical Gerontology: a Guide to Assessment and Intervention (pp. 165173). New York: The Haworth Press.Google Scholar
Smith, T., Gildeh, N. and Holmes, C. (2007). The montreal cognitive assessment: validity and utility in a memory clinic setting. Canadian Journal of Psychiatry, 52, 329332.Google Scholar
Statistics New Zealand (2013a). Population Projections. Retrieved 10 September 2014 from http://www.stats.govt.nz/tools_and_services/nzdotstat/population-projections.aspx#ethnic.Google Scholar
Statistics New Zealand (2013b). New Zealand has more ethnicities than the world has countries. Retrieved 10 September 2014 from http://www.stats.govt.nz/Census/2013-census/data-tables/total-by-topic.aspx.Google Scholar
Storey, J., Rowland, J., Basic, D., Conforti, D. and Dickson, H. (2004). The Rowland universal dementia assessment scale (RUDAS): a multicultural cognitive assessment scale. International Psychogeriatrics, 16, 1331.Google Scholar
Strauss, H. (2012). Brief Cognitive Screening instruments and the Clinical Utility of Three Screens in a New Zealand Clinical Geriatric Setting. PhD thesis. Wellington: Massey University. Available at: http://mro.massey.ac.nz/bitstream/handle/10179/4269/01_front.pdf?sequence=2.Google Scholar
Strauss, H., Leathem, J., Humphries, S. and Podd, J. (2012). The use of brief screening instruments for age related cognitive impairment in New Zealand. New Zealand Journal of Psychology, 41, 1120.Google Scholar
Terpening, Z. et al. (2011). Utility of the Addenbrooke's cognitive examination-revised for the diagnosis of dementia syndromes. Australasian Journal on Ageing, 30, 113118.CrossRefGoogle ScholarPubMed
Zhu, W., Zeng, N. and Wang, N. (2010). Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS® implementations. NESUG Proceedings: Health Care and Life Sciences, Baltimore, Maryland: NESUG.Google Scholar