Department of Radiation Medicine & Applied Sciences, University of California, San Diego, California, USA.
Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Epilepsia Open. 2024 Aug;9(4):1526-1537. doi: 10.1002/epi4.12991. Epub 2024 Jun 14.
This study evaluated the diagnostic performance of a widely available cognitive screener, the Montreal cognitive assessment (MoCA), to detect cognitive impairment in older patients (age ≥ 55) with epilepsy residing in the US, using the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) as the gold standard.
Fifty older adults with focal epilepsy completed the MoCA and neuropsychological measures of memory, language, executive function, and processing speed/attention. The IC-CoDE taxonomy divided participants into IC-CoDE Impaired and Intact groups. Sensitivity and specificity across several MoCA cutoffs were examined. Spearman correlations examined relationships between the MoCA total score and clinical and demographic variables and MoCA domain scores and individual neuropsychological tests.
IC-CoDE impaired patients demonstrated significantly lower scores on the MoCA total, visuospatial/executive, naming, language, delayed recall, and orientation domain scores (Cohen's d range: 0.336-2.77). The recommended MoCA cutoff score < 26 had an overall accuracy of 72%, 88.2% sensitivity, and 63.6% specificity. A MoCA cutoff score < 24 yielded optimal sensitivity (70.6%) and specificity (78.8%), with overall accuracy of 76%. Higher MoCA total scores were associated with greater years of education (p = 0.016) and fewer antiseizure medications (p = 0.049). The MoCA memory domain was associated with several standardized measures of memory, MoCA language domain with category fluency, and MoCA abstraction domain with letter fluency.
This study provides initial validation of the MoCA as a useful screening tool for older adults with epilepsy that can be used to identify patients who may benefit from comprehensive neuropsychological testing. Further, we demonstrate that a lower cutoff (i.e., <24) better captures cognitive impairment in older adults with epilepsy than the generally recommended cutoff and provides evidence for construct overlap between MoCA domains and standard neuropsychological tests. Critically, similar efforts in other regions of the world are needed.
The Montreal cognitive assessment (MoCA) can be a helpful tool to screen for cognitive impairment in older adults with epilepsy. We recommend that adults 55 or older with epilepsy who score less than 24 on the MoCA are referred to a neuropsychologist for a comprehensive evaluation to assess any changes in cognitive abilities and mood.
本研究使用国际癫痫认知障碍分类(IC-CoDE)作为金标准,评估一种广泛应用的认知筛查工具——蒙特利尔认知评估(MoCA)在检测美国居住的老年癫痫患者(年龄≥55 岁)认知障碍方面的诊断性能。
50 名局灶性癫痫老年患者完成了 MoCA 及记忆、语言、执行功能和处理速度/注意力等神经心理学测试。IC-CoDE 分类将参与者分为 IC-CoDE 受损和完整组。研究检查了多个 MoCA 截断值的敏感性和特异性。Spearman 相关性检验了 MoCA 总分与临床和人口统计学变量以及 MoCA 领域得分与个体神经心理学测试之间的关系。
IC-CoDE 受损患者的 MoCA 总分、视空间/执行、命名、语言、延迟回忆和定向领域得分明显较低(Cohen's d 范围:0.336-2.77)。推荐的 MoCA 截断值<26 的总准确率为 72%,敏感性为 88.2%,特异性为 63.6%。MoCA 截断值<24 可获得最佳的敏感性(70.6%)和特异性(78.8%),总准确率为 76%。较高的 MoCA 总分与受教育年限较长(p=0.016)和抗癫痫药物较少(p=0.049)有关。MoCA 记忆域与多项记忆标准化测试相关,MoCA 语言域与类别流畅性相关,MoCA 抽象域与字母流畅性相关。
本研究初步验证了 MoCA 作为一种有用的老年癫痫患者筛查工具,可以用于识别可能受益于全面神经心理学测试的患者。此外,我们还证明,较低的截断值(即<24)比一般推荐的截断值更能捕捉老年癫痫患者的认知障碍,并且 MoCA 域与标准神经心理学测试之间存在结构重叠的证据。关键是,世界其他地区也需要类似的努力。
MoCA 可作为筛查老年癫痫患者认知障碍的有用工具。我们建议 MoCA 评分<24 的 55 岁及以上癫痫患者转介给神经心理学家进行全面评估,以评估认知能力和情绪的任何变化。