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基于平板电脑的修订版自我评估记忆量表(SAMS-R)评估老年人的记忆功能。

Tablet-based self assessment memory scale-revised (SAMS-R) evaluates memory functions for older adults.

作者信息

Kowa Hisatomo, Kumagai Ryoko, Oki Yutaro, Imamura Miki, Suzuki Yuka

机构信息

Kobe University Graduate School of Health Sciences, Kobe, Japan.

OMRON Healthcare Co., Ltd., Kyoto, Japan.

出版信息

Front Aging Neurosci. 2025 Jan 22;16:1512947. doi: 10.3389/fnagi.2024.1512947. eCollection 2024.

DOI:10.3389/fnagi.2024.1512947
PMID:39911310
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11794801/
Abstract

BACKGROUND

The demand for more accurate and early diagnosis of mild cognitive impairment (MCI) patients due to Alzheimer's disease (AD) has increased after disease-modifying drugs were launched. Among these needs, there is a requirement for tools that can easily assess the ability to recall memories, which changes early in the disease.

OBJECTIVES

We established Self Assessment Memory Scale (SAMS) method before, which includes 8-picture recall test and 16-word recognition test. We adopted this method to software that can be operated on a tablet computer so that participants can perform the method independently. The purpose of this study was to validate this method.

DESIGN

Cross sectional research.

SETTING

Some of the participants were recruited from hospitals for patients diagnosed with AD or MCI. The others were recruited from three regional cohorts of healthy older adults.

PARTICIPANTS

The total number of participants was 304 (20 of whom had AD or MCI), and the mean age was 71.2 years. 64% of the participants were women.

MEASUREMENTS

We used the logical memory subtest of the WMS-R as the standard for memory evaluation and assessed the relationship between this score and the SAMS score calculated by the software.

RESULTS

The 2nd SAMS score were higher than the 1st SAMS score in some participants, on the other hand, the intraclass correlation coefficient was good. Since the number of false recognition in the 16-word recognition test was higher in participants with lower LM II scores, we developed a new score to reflect the ratio of false recognition, SAMS-R, and we observed it has good correlation with LM II. The mean SAMS-R score decreased gradually after the age of 65 years, indicating that age-related changes in memory recall can be detected. The ROC curve analysis was conducted to evaluate the detectability to determine whether if the WMS-R LM II score is above or below 10, showing that the AUC was greater than 0.9.

CONCLUSION

SAMS-R, which can be performed on a tablet literally by himself/herself independently, shows a high correlation with the WMS-R Logical Memory II score, and has the advantage of being performed in a short time without the need for a clinical psychologist or other personnel.

摘要

背景

在抗阿尔茨海默病(AD)疾病修饰药物上市后,对阿尔茨海默病所致轻度认知障碍(MCI)患者进行更准确、早期诊断的需求有所增加。在这些需求中,需要能够轻松评估记忆回忆能力的工具,这种能力在疾病早期就会发生变化。

目的

我们之前建立了自我评估记忆量表(SAMS)方法,其中包括8图回忆测试和16词识别测试。我们将此方法应用于可在平板电脑上操作的软件,以便参与者能够独立进行该方法。本研究的目的是验证该方法。

设计

横断面研究。

设置

部分参与者从诊断为AD或MCI的患者所在医院招募。其他参与者从三个地区的健康老年人队列中招募。

参与者

参与者总数为304人(其中20人患有AD或MCI),平均年龄为71.2岁。64%的参与者为女性。

测量

我们使用韦氏记忆量表修订版(WMS-R)的逻辑记忆分测验作为记忆评估的标准,并评估该分数与软件计算的SAMS分数之间的关系。

结果

部分参与者的第二次SAMS分数高于第一次SAMS分数,另一方面,组内相关系数良好。由于16词识别测试中错误识别的数量在逻辑记忆II(LM II)分数较低的参与者中较高,我们开发了一个新的分数来反映错误识别的比例,即SAMS-R,并且我们观察到它与LM II有良好的相关性。65岁以后,SAMS-R的平均分数逐渐下降,表明可以检测到与年龄相关的记忆回忆变化。进行ROC曲线分析以评估检测能力,以确定WMS-R LM II分数是否高于或低于10,结果显示曲线下面积(AUC)大于0.9。

结论

SAMS-R可以由参与者自己在平板电脑上独立完成,与WMS-R逻辑记忆II分数高度相关,并且具有无需临床心理学家或其他人员即可在短时间内完成的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8934/11794801/15fa429fb0bb/fnagi-16-1512947-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8934/11794801/c9227984fa89/fnagi-16-1512947-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8934/11794801/46021770b5eb/fnagi-16-1512947-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8934/11794801/b13335cea67b/fnagi-16-1512947-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8934/11794801/15fa429fb0bb/fnagi-16-1512947-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8934/11794801/c9227984fa89/fnagi-16-1512947-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8934/11794801/46021770b5eb/fnagi-16-1512947-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8934/11794801/b13335cea67b/fnagi-16-1512947-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8934/11794801/15fa429fb0bb/fnagi-16-1512947-g004.jpg

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