Can a tablet-based cancellation test identify cognitive impairment in older adults?

被引:13
|
作者
Wu, Ya-Huei [1 ,2 ]
Vidal, Jean-Sebastien [1 ,2 ]
de Rotrou, Jocelyne [1 ,2 ]
Sikkes, Sietske A. M. [3 ,4 ]
Rigaud, Anne-Sophie [1 ,2 ]
Plichart, Matthieu [1 ,2 ]
机构
[1] Hop Broca, AP HP, Paris, France
[2] Paris Descartes Univ, Sorbonne Paris Cite, Paris, France
[3] Vrije Univ Amsterdam, Alzheimer Ctr, Med Ctr, Amsterdam, Netherlands
[4] Vrije Univ Amsterdam, Dept Epidemiol & Biostat, Med Ctr, Amsterdam, Netherlands
来源
PLOS ONE | 2017年 / 12卷 / 07期
关键词
ALZHEIMERS ASSOCIATION WORKGROUPS; EXECUTIVE DYSFUNCTION; DIAGNOSTIC GUIDELINES; NATIONAL INSTITUTE; COMPUTER USE; DISEASE; DEMENTIA; PERFORMANCE; DEFICITS; PROFILE;
D O I
10.1371/journal.pone.0181809
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background and objective There has been a growing interest in using computerized cognitive assessment to detect age-related cognitive disorders. We have developed a tablet-based cancellation test (e-CT), previously shown as a reliable measure of executive functions and free of effect of familiarity with computer-based devices in healthy older adults. This study aimed to investigate the influence of demographics and current daily use of computer-based devices in older adults with Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD). We further studied the ability of the e-CT to discriminate MCI and AD patients from older adults with normal cognition (NC). Methods The e-CT was administered to 325 older adults (NC = 112, MCI = 129, AD = 84). Subjects also performed the K-T test, a paper-and-pencil cancellation test from which the e-CT was developed. Multiple linear regression analyses were conducted to assess the contribution of demographics and current daily use of computer-based devices on the e-CT in patient groups. The Receiver Operating Characteristic (ROC) curves and the Area Under the Curve (AUC) were established to compare the efficacy of the e-CT and the K-T test to classify subjects into diagnostic groups. Results In the MCI group, age (B = -0.37, p<0.001) and current daily use of computer-based devices (B = 5.85, p<0.001) were associated with the number of correct cancellations of the e-CT. In the AD group, only current daily use of a computer-based device was a significant contributor (B = 6.28, p<0.001). The e-CT (AUC = 0.811; 95% confidence interval [CI]: 0.756-0.867) and the K-T (AUC = 0.837; CI: 0.787-0.887) showed good and comparable diagnostic accuracy to discriminate between MCI and NC subjects. To discriminate between NC and AD, both tests showed high diagnostic accuracy, with the AUC values of 0.923 (CI: 0.876-0.971) and 0.929 (95% CI: 0.886-0.972) for the e-CT and the K-T, respectively. Conclusion The e-CT presents satisfying discriminative validity and is a promising tool for detection of early cognitive impairment in older adults.
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页数:14
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