Alzheimer’s Dementia (AD) is among the most common diseases in the Geriatric population, and its prevalence is expected to quadruple by 2047.Vascular Dementia (VaD) is the second most frequent cause of dementia, with studies indicating VaD accounts for 10-20% of dementia cases across the globe. A diagnostic model differentiating AD and VaD would be clinically and scientifically valuable, considering the treatment approaches for these conditions are different. Although there are differences between AD and VaD on their neuropsychological profiles, a diagnostic model that successfully differentiates AD and VaD on neuropsychological testing has not been developed, despite previous attempts. Our study addresses this gap in the literature by examining two diagnostic models used to predict the conversion of AD from mild cognitive impairment, and a third model was proposed to differentiate AD from VaD. We conducted ROC Analyses using the variables LM II Standard Score, Animals Total, and CDRS Sum based on a previous diagnostic model. The sensitivity and specificity for the diagnosis of mild VaD were calculated for all possible scores of each test measure. The Animals Total cutoff score of 7 achieved excellent sensitivity and specificity, receiving 96% and 92%, respectively. In this sample, patients who could name at least seven animals under 60 seconds were highly likely to be diagnosed with VaD. LM II Scaled Score also achieved statistical significance (p <0.001) and a cutoff score of 4 received 96% sensitivity and 77% specificity. Patients who achieved an LM II Scaled Score of 4 or higher were highly likely to be diagnosed with VaD.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc500158 |
| Date | 08 1900 |
| Creators | Hill, Jonathan |
| Contributors | Hall, James R., Stille, Kelly, Guarnaccia, Charles |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | Text |
| Rights | Public, Hill, Jonathan, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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