4.4 Article

Validation of a novel computerized cognitive function test for the rapid detection of mild cognitive impairment

期刊

BMC NEUROLOGY
卷 22, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12883-022-02997-4

关键词

Mild cognitive impairment; Alzheimer's disease dementia; Computerized cognitive assessment battery; Neuropsychological test

资金

  1. JSPS KAKENHI
  2. [JP19K19460]

向作者/读者索取更多资源

In this study, the researchers examined the ability of the MARC assessment tool for distinguishing ADD, MCI, and NDC groups. The results showed that MARC is capable of accurately distinguishing MCI, and it has good validity and reliability. The tool can be administered in a short period of time without the need for a specialist.
Background: In the present study, we examined the distinguishing ability of a mild cognitive impairment (MCI) assessment tool for rapid screening using a computer (MARC) for Alzheimer's disease dementia (ADD), MCI, and non-demented controls (NDC) with no cognitive impairment, as well as its validity and reliability, as part of a preliminary trial for the development of the tool. Methods: A total of 64 participants (23 in the ADD group, 17 in the MCI group, and 24 in the NDC group) were analyzed. The participants were administered MARC and a pre-existing computerized Alzheimer's dementia screening test (MSP), and 31 participants (14 in the MCI group, 17 in the NDC group) were readministered MARC within 4 months from the first test. Results: The median (interquartile range) test time for MARC was 401 (350-453) s. Total MARC scores were significantly worse in the MCI and ADD groups than in the NDC group (p < 0.05 and p < 0.01, respectively). In the receiver operating characteristic (ROC) analysis, the area under the ROC curve (AUC) when comparing the NDC and MCI groups was 0.866 (95% CI, 0.759-0.974), when comparing the NDC and AD groups was 0.989 (95% CI, 0.970-1.000), and when comparing the MCI and AD groups was 0.889 (95% CI, 0.790-0.988). Furthermore, there was a significant correlation with the results of the existing test, MSP (r = 0.839, p < 0.001). In addition, the intraclass correlation coefficient (ICC) (1,1) when the first and second MARC scores were compared was 0.740 (95% CI, 0.529-0.865; p < 0.001). Conclusions: MARC is considered capable of distinguishing MCI with high accuracy. The tool has good validity and reliability, and it can be administered in a short period of time without the need for a specialist.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据