» Articles » PMID: 24292515

Three-question Dementia Screening. Development of the Salzburg Dementia Test Prediction (SDTP)

Overview
Publisher Springer
Specialty Geriatrics
Date 2013 Dec 3
PMID 24292515
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Background: To date, short dementia screenings are often limited by poor specificity or still take too much time with respect to the restricted resources of primary care physicians and the increasing number of dementia disorders. As a new instrument, the three-question dementia screening (SDTP, Salzburg Dementia Test Prediction) should be compared with the eight-item screening of Chen et al. and the CERAD battery (Consortium to Establish a Registry for Alzheimer's Disease), focusing on specificity and economy of time.

Materials And Methods: We tested 404 patients (243 women). The mean age of the subjects was 80.1 years (SD = 6.8) for men and 83.2 years (SD = 6.0) for women. The mean Mini-Mental State Examination (MMSE) score was 21.9 (SD =  5.8) for men and 21.1 (SD =  6.3) for women. Artificial neural networks (ANNs) were used to find a mathematical model that allows the total MMSE to be predicted with only three questions of the MMSE. This is achieved by multiplying the outcome of the three best predictor questions with a weighting coefficient, which was delineated by using ANNs.

Results: The Salzburg Dementia Test Prediction (SDTP) had a sensitivity of 94% (95% CI: 87-97%) for screening of possible dementia, when the MMSE (MMSE < 25/30) was used as the reference test method and 96% when the CERAD was used. The specificity was 68% (95% CI: 57-77%) if the MMSE was used and 70% if the whole test battery (CERAD) was used, which is as sensitive as and more specific than the eight-item screening.

Conclusion: The SDTP is a time-saving instrument for screening of dementia, which is as sensitive as and more specific than the eight-item screening of Chen et al. and provides a prediction of the MMSE with high accuracy.

Citing Articles

The platelet transcriptome and proteome in Alzheimer's disease and aging: an exploratory cross-sectional study.

Bessa de Sousa D, Poupardin R, Villeda S, Schroer A, Frohlich T, Frey V Front Mol Biosci. 2023; 10:1196083.

PMID: 37457829 PMC: 10348715. DOI: 10.3389/fmolb.2023.1196083.


The current state of artificial intelligence-augmented digitized neurocognitive screening test.

Sirilertmekasakul C, Rattanawong W, Gongvatana A, Srikiatkhachorn A Front Hum Neurosci. 2023; 17:1133632.

PMID: 37063100 PMC: 10098088. DOI: 10.3389/fnhum.2023.1133632.


Patient perspectives on, and effects of, medication management in geriatric fallers (the EMMA study): protocol for a mixed-methods pre-post study.

Buchegger S, Iglseder B, Alzner R, Kogler M, Rose O, Kutschar P BMJ Open. 2023; 13(2):e066666.

PMID: 36813491 PMC: 9950918. DOI: 10.1136/bmjopen-2022-066666.


Item distribution, scalability and internal consistency of the QUALIDEM quality of life assessment for patients with dementia in acute hospital settings.

Ludecke D, Dichter M, Nickel S, Kofahl C Health Qual Life Outcomes. 2023; 21(1):12.

PMID: 36721226 PMC: 9887877. DOI: 10.1186/s12955-023-02094-1.


Predicting Total Knee Replacement from Symptomology and Radiographic Structural Change Using Artificial Neural Networks-Data from the Osteoarthritis Initiative (OAI).

Heisinger S, Hitzl W, Hobusch G, Windhager R, Cotofana S J Clin Med. 2020; 9(5).

PMID: 32369985 PMC: 7288322. DOI: 10.3390/jcm9051298.


References
1.
Shulman K . Clock-drawing: is it the ideal cognitive screening test?. Int J Geriatr Psychiatry. 2000; 15(6):548-61. DOI: 10.1002/1099-1166(200006)15:6<548::aid-gps242>3.0.co;2-u. View

2.
Folstein M, Folstein S, McHugh P . "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975; 12(3):189-98. DOI: 10.1016/0022-3956(75)90026-6. View

3.
Aleksic M, Luebke T, Heckenkamp J, Gawenda M, Reichert V, Brunkwall J . Implementation of an artificial neuronal network to predict shunt necessity in carotid surgery. Ann Vasc Surg. 2008; 22(5):635-42. DOI: 10.1016/j.avsg.2008.04.004. View

4.
Jacova C, Kertesz A, Blair M, Fisk J, Feldman H . Neuropsychological testing and assessment for dementia. Alzheimers Dement. 2009; 3(4):299-317. DOI: 10.1016/j.jalz.2007.07.011. View

5.
Davidson J, Irizarry M, Bray B, Wetten S, Galwey N, Gibson R . An exploration of cognitive subgroups in Alzheimer's disease. J Int Neuropsychol Soc. 2009; 16(2):233-43. PMC: 2903844. DOI: 10.1017/S1355617709991160. View