Deris Dimitrios, Mastroianni Sabrina, Kan Jonathan, Veroniki Areti Angeliki, Sharma Mukul, Joundi Raed A, Shoamanesh Ashkan, Srivastava Abhilekh, Katsanos Aristeidis H
Department of Health Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada.
School of Interdisciplinary Science, McMaster University, Hamilton, ON L8S 4L8, Canada.
J Clin Med. 2025 Sep 5;14(17):6268. doi: 10.3390/jcm14176268.
Patients after a transient ischemic attack (TIA) are at high risk of subsequent stroke. There are various scores that aim to accurately identify patients at the highest risk of stroke. However, without comparisons between these scores, it is still unknown which is the score with the best predictive utility. Our study aims to identify the risk stratification score with the highest utility to identify patients at high risk for stroke within 90 days after a TIA. : The MEDLINE and Scopus databases were systematically searched on 1 December 2023 for observational cohort studies assessing the ability of a score to predict a stroke within the first 90 days from the index TIA event. Only studies that had a direct comparison of at least two scores were included. A random-effects network meta-analysis was performed. Sensitivity and specificity, along with relevant 95% credible intervals, and between-score and between-study heterogeneity were estimated. We also estimated relative sensitivities and relative specificities compared with the ABCD2 score. We ranked each score according to its predictive accuracy based on both sensitivity and specificity estimates, using the diagnostic odds ratio (DOR) and the summary receiver operating characteristic (SROC) curve. Our systematic review highlighted 9 studies including 14 discrete cohorts. The performance of all scores to identify patients at high risk for stroke recurrence within 90 days following a TIA was low (pooled sensitivity range 48-64%, pooled specificity range 59-72%). In the network meta-analysis, we analyzed 6 studies with 11 discrete cohorts, including data from 8217 patients. The ABCD3-I score demonstrated the highest DOR, followed by the ESRS, ABCD, California, and ABCD2. The SROC curves demonstrate no significant differences in the performance of the scores, using the ABCD score as the common comparator. : In this systematic review and network meta-analysis of observational cohort studies of patients who experienced TIA and were followed for the occurrence of subsequent stroke, we failed to identify a score performing significantly better for the prediction of stroke at 90 days. New models are needed for the prediction and stroke risk stratification following a TIA.
短暂性脑缺血发作(TIA)后的患者随后发生中风的风险很高。有各种评分旨在准确识别中风风险最高的患者。然而,在没有对这些评分进行比较的情况下,仍然不清楚哪一种评分具有最佳的预测效用。我们的研究旨在确定在TIA后90天内识别中风高危患者的效用最高的风险分层评分。:于2023年12月1日系统检索了MEDLINE和Scopus数据库,以查找评估评分在首次TIA事件后90天内预测中风能力的观察性队列研究。仅纳入了至少对两种评分进行直接比较的研究。进行了随机效应网络荟萃分析。估计了敏感性和特异性以及相关的95%可信区间,以及评分之间和研究之间的异质性。我们还估计了与ABCD2评分相比的相对敏感性和相对特异性。我们根据敏感性和特异性估计,使用诊断比值比(DOR)和汇总接受者操作特征(SROC)曲线,根据预测准确性对每个评分进行排名。我们的系统评价突出了9项研究,包括14个独立队列。所有评分在识别TIA后90天内中风复发高危患者方面的表现都很低(合并敏感性范围为48 - 64%,合并特异性范围为59 - 72%)。在网络荟萃分析中,我们分析了6项研究,包括11个独立队列,数据来自8217名患者。ABCD3 - I评分显示出最高的DOR,其次是ESRS、ABCD、加利福尼亚评分和ABCD2。以ABCD评分为共同对照,SROC曲线显示各评分的表现无显著差异。:在这项对经历TIA并随访后续中风发生情况的患者进行的观察性队列研究的系统评价和网络荟萃分析中,我们未能识别出在预测90天时中风方面表现明显更好的评分。需要新的模型来预测TIA后的中风并进行中风风险分层。