gms | German Medical Science

MAINZ//2011: 56. GMDS-Jahrestagung und 6. DGEpi-Jahrestagung

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V.
Deutsche Gesellschaft für Epidemiologie e. V.

26. - 29.09.2011 in Mainz

Does the clock drawing test predict dementia? Results of the Leipzig longitudinal study of the aged (LEILA 75+)

Meeting Abstract

  • Lena Ehreke - University of Leipzig, Institute of Social Medicine, Occupational Health and Public Health, Public Health Research Unit, Leipzig
  • Melanie Luppa - University of Leipzig, Institute of Social Medicine, Occupational Health and Public Health, Public Health Research Unit, Leipzig
  • Hans-Helmut König - University Medical Center Hamburg-Eppendorf, Department of Medical Sociology and Health Economics, Hamburg
  • Arno Villringer - University of Leipzig, Max Planck Institute for Human Cognitive and Brain Sciences and Day Clinic of Cognitive Neurology, Leipzig
  • Steffi G. Riedel-Heller - University of Leipzig, Institute of Social Medicine, Occupational Health and Public Health, Leipzig

Mainz//2011. 56. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 6. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi). Mainz, 26.-29.09.2011. Düsseldorf: German Medical Science GMS Publishing House; 2011. Doc11gmds354

doi: 10.3205/11gmds354, urn:nbn:de:0183-11gmds3547

Veröffentlicht: 20. September 2011

© 2011 Ehreke et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

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Background/Aims: Conversion rates to dementia are known to be high for patients with mild cognitive impairment (MCI), but the diagnosis of MCI is very time-consuming. Since the Clock Drawing Test (CDT) is quick to administer, it will be of interest to compare the predictive validity of the CDT and of an MCI diagnosis for the diagnosis of dementia.

Methods: In a sample of 384 individuals, CDT scores and the presence of MCI were assessed at baseline and then compared between individuals with an incident dementia diagnosis at follow-up and those without. Multivariate analyses, receiver operating characteristic analyses and values of sensitivity and specificity of the CDT were performed.

Results: Individuals with incident dementia had significantly higher CDT scores at baseline than those without dementia. CDT was a significant predictor of incident dementia after adjusting for other factors. CDT reached a sensitivity of 68% and specificity of 65%. The area under the receiver operating characteristic curve of CDT was 0.70 and therefore slightly lower than for MCI diagnosis (0.78).

Conclusions: Because of the only slightly lower predictive value of the CDT, its quick application and scoring compared to the MCI concept applied, it will be worthwhile to improve the CDT scoring system in order to increase the predictive validity in dementia.