Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.
Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain.
J Alzheimers Dis. 2024;97(3):1173-1187. doi: 10.3233/JAD-230983.
The FACEmemory® online platform comprises a complex memory test and sociodemographic, medical, and family questions. This is the first study of a completely self-administered memory test with voice recognition, pre-tested in a memory clinic, sensitive to Alzheimer's disease, using information and communication technologies, and offered freely worldwide.
To investigate the demographic and clinical variables associated with the total FACEmemory score, and to identify distinct patterns of memory performance on FACEmemory.
Data from the first 3,000 subjects who completed the FACEmemory test were analyzed. Descriptive analyses were applied to demographic, FACEmemory, and medical and family variables; t-test and chi-square analyses were used to compare participants with preserved versus impaired performance on FACEmemory (cut-off = 32); multiple linear regression was used to identify variables that modulate FACEmemory performance; and machine learning techniques were applied to identify different memory patterns.
Participants had a mean age of 50.57 years and 13.65 years of schooling; 64.07% were women, and 82.10% reported memory complaints with worries. The group with impaired FACEmemory performance (20.40%) was older, had less schooling, and had a higher prevalence of hypertension, diabetes, dyslipidemia, and family history of neurodegenerative disease than the group with preserved performance. Age, schooling, sex, country, and completion of the medical and family history questionnaire were associated with the FACEmemory score. Finally, machine learning techniques identified four patterns of FACEmemory performance: normal, dysexecutive, storage, and completely impaired.
FACEmemory is a promising tool for assessing memory in people with subjective memory complaints and for raising awareness about cognitive decline in the community.
FACEmemory®在线平台包括一个复杂的记忆测试以及社会人口学、医学和家庭问题的相关信息。这是第一个使用信息和通信技术，对经过预测试的、完全自我管理的、对阿尔茨海默病敏感的、带有语音识别功能的记忆测试进行的研究，该测试在记忆诊所中进行，目前在全球范围内免费提供。
研究与 FACEmemory 总评分相关的人口统计学和临床变量，并确定 FACEmemory 上记忆表现的不同模式。
分析了前 3000 名完成 FACEmemory 测试的受试者的数据。对人口统计学、FACEmemory 以及医学和家庭变量进行描述性分析；使用 t 检验和卡方检验比较 FACEmemory 表现正常和受损的参与者（分界值=32）；使用多元线性回归识别调节 FACEmemory 表现的变量；并应用机器学习技术识别不同的记忆模式。
参与者的平均年龄为 50.57 岁，平均受教育年限为 13.65 年；64.07%为女性，82.10%报告有记忆问题和担忧。FACEmemory 表现受损（20.40%）的组年龄较大，受教育程度较低，且高血压、糖尿病、血脂异常和神经退行性疾病家族史的患病率较高。年龄、受教育程度、性别、国家以及完成医学和家庭史问卷与 FACEmemory 评分相关。最后，机器学习技术确定了 FACEmemory 表现的四种模式：正常、执行功能障碍、存储和完全受损。
FACEmemory 是一种有前途的评估有主观记忆主诉的人群的记忆的工具，并提高了对社区认知能力下降的认识。
