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The goal of this study was to evaluate the ability of semantic (animal naming) and phonemic (FAS) fluency in their ability to discriminate between normal aging, amnestic-Mild Cognitive Impairment (a-MCI), and Alzheimer’s disease (AD).
We used binary logistic regressions, multinomial regressions, and discriminant analysis to evaluate the predictive value of semantic and phonemic fluency in regards to specific diagnostic classifications.
Outpatient geriatric neuropsychology clinic.
232 participants (normal aging = 99, a-MCI = 90, AD = 43; mean age = 65.75 years).
Mini-mental State Examination (MMSE), Controlled Oral Word Association Test
Results indicate that semantic and phonemic fluency were significant predictors of diagnostic classification, and semantic fluency explained a greater amount of the discriminant ability of the model.
These results suggest that verbal fluency, particularly semantic fluency, may be an accurate and efficient tool in screening for early dementia in time-limited medical settings.
We compared the fluorescent gel removal rate using fewer high-touch surfaces (HTSs) and rooms and determined the optimum number of HTSs and rooms needed to ensure accuracy using 2,942 HTSs in 228 rooms on 13 units. Randomly selecting 3 HTS in 2 rooms predicted the optimal removal rate.