Khorvash Fariborz, Hemasian Helia, Shahabi Shahab, Shahzamani Arvin, Sheikhbahaei Erfan, Chitsaz Ahmad
Department of Neurology, School of Medicine, Alzahra University Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.
Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Int J Prev Med. 2018 Nov 15;9:102. doi: 10.4103/ijpvm.IJPVM_415_17. eCollection 2018.
Patients who experienced transient ischemic attack (TIA) are at high-risk for cardiovascular events. This study aims to evaluate diagnostic value of carotid artery intima-media thickness (CIMT) and ABCD2 score for predicting cardiovascular events in long-term follow-up after TIA. We prospectively included sixty patients with TIA who admitted to hospital from March 2016 to August 2016.
Duplex ultrasonography of internal carotid arteries was performed. ABCD2 scores were evaluated for each patient. At a median follow-up of 20 months, patients were asked about new cardiovascular events. We used IBM SPSS software version 22.0 with Chi-squared, -test, ANOVA, receiver operating characteristic, and area under the curve (AUC) analysis for our work.
Sensitivity and negative predictive value of the combined score (ABCD2+CIMT) was the highest (96.3% and 90.9%, respectively), and the specificity and positive predictive value of the CIMT were the highest (57.5% and 63.1%, respectively) to predict cardiovascular events in long-term.
Compared to ABCD2 score, CIMT proved to be more accurate to predict cardiovascular events in long-term follow-ups (AUC = 0.736 vs. AUC = 0.640). However, adding CIMT value to ABCD2 score was even better (AUC = 0.750). Therefore, CIMT measurement in the ABCD2 score after TIA enables prediction of long-term cardiovascular events.
经历短暂性脑缺血发作(TIA)的患者发生心血管事件的风险很高。本研究旨在评估颈动脉内膜中层厚度(CIMT)和ABCD2评分对TIA后长期随访中心血管事件的预测诊断价值。我们前瞻性纳入了2016年3月至2016年8月入院的60例TIA患者。
对颈内动脉进行双功超声检查。对每位患者评估ABCD2评分。在中位随访20个月时,询问患者有关新的心血管事件。我们使用IBM SPSS软件22.0版进行卡方检验、t检验、方差分析、受试者工作特征分析和曲线下面积(AUC)分析。
联合评分(ABCD2 + CIMT)预测长期心血管事件的敏感性和阴性预测值最高(分别为96.3%和90.9%),CIMT的特异性和阳性预测值最高(分别为57.5%和63.1%)。
与ABCD2评分相比,CIMT在长期随访中对心血管事件的预测更准确(AUC = 0.736 vs. AUC = 0.640)。然而,将CIMT值加入ABCD2评分中效果更好(AUC = 0.750)。因此,TIA后在ABCD2评分中测量CIMT能够预测长期心血管事件。