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

Author:

Kouzuki Minoru,Miyamoto Madoka,Tanaka Nobuto,Urakami Katsuya

Abstract

Abstract 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.

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Neurology (clinical),General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Developing an Integrated Cognitive Test (ICT) for Computerized Assessment of Cognitive Impairment Risk;2023 15th Biomedical Engineering International Conference (BMEiCON);2023-10-28

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