McDonnell Michelle, Dill Lauren, Panos Stella, Amano Stacy, Brown Warren, Giurgius Shadee, Small Gary, Miller Karen
Loma Linda VA Healthcare System, Loma Linda, CA, USA.
VA Long Beach Healthcare System, Long Beach, CA, USA.
Int Psychogeriatr. 2020 Sep;32(9):1055-1062. doi: 10.1017/S1041610219000644. Epub 2019 Jul 1.
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.
本研究的目的是评估语义(动物命名)和语音(FAS)流畅性在区分正常衰老、遗忘型轻度认知障碍(a-MCI)和阿尔茨海默病(AD)方面的能力。
我们使用二元逻辑回归、多项回归和判别分析来评估语义和语音流畅性对特定诊断分类的预测价值。
门诊老年神经心理学诊所。
232名参与者(正常衰老 = 99人,a-MCI = 90人,AD = 43人;平均年龄 = 65.75岁)。
简易精神状态检查表(MMSE)、受控口语单词联想测验。
结果表明,语义和语音流畅性是诊断分类的重要预测指标,并且语义流畅性对模型的判别能力解释量更大。
这些结果表明,言语流畅性,尤其是语义流畅性,可能是在时间有限的医疗环境中筛查早期痴呆的一种准确且有效的工具。