Seidman Lauren, Hyman Sara, Kenney Rachel, Nsiri Avivit, Galetta Steven, Masurkar Arjun V, Balcer Laura
New York Medical College, Valhalla, New York, USA,
Department of Neurology, NYU Grossman School of Medicine, New York, New York, USA.
Dement Geriatr Cogn Disord. 2025 Jun 11:1-12. doi: 10.1159/000546451.
Effective mild cognitive impairment (MCI) screening requires accessible testing. This study compared two tests for distinguishing MCI patients from controls: rapid automatized naming (RAN) for naming speed and low-contrast letter acuity (LCLA) for sensitivity to low-contrast letters.
Two RAN tasks were used: the Mobile Universal Lexicon Evaluation System (MULES, picture naming) and the Staggered Uneven Number test (SUN, number naming). Both RAN tasks were administered on a tablet and in a paper/pencil format. The tablet format was administered using the Mobile Integrated Cognitive Kit application. LCLA was tested at 2.5% and 1.25% contrast.
Sixty-four participants (31 MCI, 34 controls; mean age 73.2 ± 6.8 years) were included. MCI patients were slower than controls for paper/pencil (75.0 vs. 53.6 s, p < 0.001), and tablet MULES (69.0 s vs. 50.2 s, p = 0.01). The paper/pencil SUN showed no significant difference (MCI: 59.5 s vs. controls: 59.9 s, p = 0.07) nor did the tablet SUN (MCI: 59.3 s vs. controls: 55.7 s, p = 0.36). MCI patients had worse performance on LCLA testing at 2.5% contrast (33 letters vs. 36, p = 0.04*) and 1.25% (0 letters vs. 14 letters, p < 0.001). Receiver operating characteristic (ROC) analysis showed similar performance of paper/pencil and tablet MULES in distinguishing MCI from controls (area under the ROC curve [AUC] = 0.77), outperforming both SUN (AUC = 0.63 paper, 0.59 tablet) and LCLA (2.5% contrast: AUC = 0.65, 1.25% contrast: AUC = 0.72).
The MULES, in both formats, may be a valuable screening tool for MCI.
有效的轻度认知障碍（MCI）筛查需要可及的测试方法。本研究比较了两种用于区分MCI患者与对照者的测试：用于命名速度的快速自动命名（RAN）和用于低对比度字母敏感度的低对比度字母视力（LCLA）。
使用了两项RAN任务：移动通用词汇评估系统（MULES，图片命名）和交错奇数测试（SUN，数字命名）。两项RAN任务均以平板电脑和纸笔形式进行。平板电脑形式使用移动综合认知套件应用程序进行管理。LCLA在2.5%和1.25%的对比度下进行测试。
纳入了64名参与者（31名MCI患者，34名对照者；平均年龄73.2±6.8岁）。MCI患者在纸笔测试（75.0秒对53.6秒，p<0.001）和平板电脑MULES测试（69.0秒对50.2秒，p = 0.01）中的速度比对照者慢。纸笔形式的SUN测试无显著差异（MCI：59.5秒对对照者：59.9秒，p = 0.07），平板电脑形式的SUN测试也无显著差异（MCI：59.3秒对对照者：55.7秒，p = 0.36）。MCI患者在2.5%对比度（33个字母对36个，p = 0.04*）和1.25%对比度（0个字母对14个字母，p<0.001）的LCLA测试中表现更差。受试者工作特征（ROC）分析表明，纸笔和平板电脑形式的MULES在区分MCI与对照者方面表现相似（ROC曲线下面积[AUC]=0.77），优于SUN（纸笔AUC = 0.63，平板电脑AUC = 0.59）和LCLA（2.5%对比度：AUC = 0.65，1.25%对比度：AUC = 0.72）。
两种形式的MULES都可能是用于MCI的有价值的筛查工具。
