Washida Kazuo, Ihara Masafumi, Tachibana Hisatsugu, Sekiguchi Kenji, Kowa Hisatomo, Kanda Fumio, Toda Tatsushi
Division of Neurology, Graduate School of Medicine, Kobe University, Kobe, Japan.
Department of Neurology, The National Cerebral and Cardiovascular Center, Suita, Osaka, Japan.
J Stroke Cerebrovasc Dis. 2014 Oct;23(9):2250-5. doi: 10.1016/j.jstrokecerebrovasdis.2014.04.009. Epub 2014 Aug 27.
The ASCO classification can evaluate the etiology and mechanisms of ischemic stroke more comprehensively and systematically than conventional stroke classification systems such as Trial of Org 10172 in Acute Stroke Treatment (TOAST). Simultaneously, risk factors for cognitive impairment such as arterial sclerosis, leukoaraiosis, and atrial fibrillation can also be gathered and graded using the ASCO classification.
Sixty patients with postischemic stroke underwent cognitive testing, including testing by the Japanese version of the Montreal cognitive assessment (MoCA-J) and the mini-mental state examination (MMSE). Ischemic strokes were categorized and graded by the ASCO classification. In this phenotype-based classification, every patient is characterized by the A-S-C-O system (A for Atherosclerosis, S for Small vessel disease, C for Cardiac source, and O for Other cause). Each of the 4 phenotypes is graded 0, 1, 2, or 3, according to severity. The conventional TOAST classification was also applied. Correlations between individual MoCA-J/MMSE scores and the ASCO scores were assessed.
The total score of the ASCO classification significantly correlated with the total scores of MoCA-J and MMSE. This correlation was more apparent in MoCA-J than in MMSE, because MoCA-J scores were normally distributed, whereas MMSE scores were skewed toward the higher end of the range (ceiling effect). Results for individual subtests of MoCA-J and MMSE indicated that cognitive function for visuoexecutive, calculation, abstraction, and remote recall significantly correlated with ASCO score.
These results suggest that the ASCO phenotypic classification of stroke is useful not only for assessing the etiology of ischemic stroke but also for predicting cognitive decline after ischemic stroke.
与传统的中风分类系统(如急性中风治疗中Org 10172试验(TOAST))相比,美国临床肿瘤学会(ASCO)分类能够更全面、系统地评估缺血性中风的病因和机制。同时,还可以使用ASCO分类收集和分级动脉粥样硬化、脑白质疏松和心房颤动等认知障碍的危险因素。
对60例缺血性中风后患者进行认知测试,包括采用日本版蒙特利尔认知评估量表(MoCA-J)和简易精神状态检查表(MMSE)进行测试。缺血性中风根据ASCO分类进行分类和分级。在这种基于表型的分类中,每个患者由A-S-C-O系统(A代表动脉粥样硬化,S代表小血管疾病,C代表心源,O代表其他原因)来表征。根据严重程度,4种表型中的每一种都分为0、1、2或3级。同时也应用了传统的TOAST分类。评估了个体MoCA-J/MMSE评分与ASCO评分之间的相关性。
ASCO分类的总分与MoCA-J和MMSE的总分显著相关。这种相关性在MoCA-J中比在MMSE中更明显,因为MoCA-J评分呈正态分布,而MMSE评分向范围的高端倾斜(天花板效应)。MoCA-J和MMSE的各个子测试结果表明,视觉执行、计算、抽象和远距记忆的认知功能与ASCO评分显著相关。
这些结果表明,中风的ASCO表型分类不仅有助于评估缺血性中风的病因,还可用于预测缺血性中风后的认知衰退。