猫和苹果：识别早期阿尔茨海默病患者的生物语义流畅性测试。
Cats and Apples: Semantic Fluency Performance for Living Things Identifies Patients with Very Early Alzheimer's Disease.
机构信息
University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland.
Faculty of Medicine, University of Basel, Basel, Switzerland.
出版信息
Arch Clin Neuropsychol. 2021 Jul 19;36(5):838-843. doi: 10.1093/arclin/acaa109.
OBJECTIVE
Reduced semantic memory performance is a known neuropsychological marker of very early Alzheimer's disease (AD), but the task format that best predicts disease status is an open question. The present study aimed to identify the semantic fluency task and measure that best discriminates early-stage AD patients (PATs) from cognitively healthy controls.
METHOD
Semantic fluency performance for animals, fruits, tools, and vehicles was assessed in 70 early-stage AD PATs and 67 cognitively healthy participants. Logistic regressions and receiver operating characteristics were calculated for five total score semantic fluency measures.
RESULTS
Compared with all other measures, living things (i.e., total correct animals + total correct fruits) achieved highest z-statistics, highest area under the curve and smallest difference between the upper and lower 95% confidence intervals.
CONCLUSION
Living things total correct is a powerful tool to detect the earliest signs of incipient AD.
目的
语义记忆表现下降是早期阿尔茨海默病（AD）的已知神经心理学标志物，但哪种任务格式最能预测疾病状态仍是一个悬而未决的问题。本研究旨在确定最佳的语义流畅性任务和测量方法，以区分早期 AD 患者（PATs）和认知健康对照者。
方法
在 70 名早期 AD PAT 和 67 名认知健康参与者中评估了动物、水果、工具和车辆的语义流畅性表现。计算了五个总得分语义流畅性测量的逻辑回归和受试者工作特征曲线。
结果
与所有其他测量方法相比，生物类（即，所有正确的动物+所有正确的水果）的 z 统计量最高、曲线下面积最大、上下 95%置信区间差值最小。
结论
生物类总正确是检测早期 AD 初始迹象的有力工具。
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