Suppr超能文献

前循环急性脑卒中患者的机械取栓选择。

Selection of anterior circulation acute stroke patients for mechanical thrombectomy.

机构信息

Department of Systems Medicine, Stroke Center, University of Tor Vergata, viale Oxford 81, 00133, Rome, Italy.

Santa Lucia Foundation, via Ardeatina 306, 00142, Rome, Italy.

出版信息

J Neurol. 2019 Nov;266(11):2620-2628. doi: 10.1007/s00415-019-09454-2. Epub 2019 Jul 3.

Abstract

BACKGROUND

The use of mechanical thrombectomy (MT) for acute ischemic stroke (AIS) patients has increased with a parallel burden in procedural costs. We tested whether a new prognostic score could identify patients who are unlikely to benefit from MT.

METHODS

Patients from our endovascular stroke registry were assessed for imaging and clinical outcome measures and randomly divided into two subsets for derivation and validation. We created a new prognostic score based on clinical and radiological prognostic factors of poor outcome (mRS score ≥ 3) from the derivation cohort. Receiver operating characteristics curve analysis was used to assess the discrimination ability of the score. The score was then validated and compared to the MR PREDICTS score.

RESULTS

The derivation/validation included 270/116 patients, respectively. After multivariate logistic regression analysis, pre stroke mRS, age, admission glycaemia, admission NIHSS, collateral flow, Clot Burden Score, Alberta Stroke Program Early CT score were used to create a new prognostic scoring system called Tor Vergata Stroke Score (TVSS). TVSS revealed a good prognostic accuracy with an AUC of 0.825 [95% CI 0.77-0.88] in the derivation cohort and an AUC of 0.820 [95% CI 0.74-0.90] in the validation cohort. When compared to the MR PREDICTS in the validation cohort, TVSS demonstrated higher prediction ability which was, however, not statistically significant (0.80 vs 0.78; P = 0.26).

CONCLUSIONS

TVSS is a reliable tool for selection of AIS candidates for MT and optimization of transfer to comprehensive stroke centers.

摘要

背景

机械取栓(MT)在急性缺血性脑卒中(AIS)患者中的应用不断增加,同时也带来了程序成本的增加。我们测试了一种新的预后评分是否能识别出不太可能从 MT 中获益的患者。

方法

我们对来自血管内卒中登记处的患者进行了影像学和临床预后评估,并将其随机分为两个子集进行推导和验证。我们根据推导队列中预后不良(mRS 评分≥3)的临床和影像学预后因素,创建了一个新的预后评分。使用受试者工作特征曲线分析评估评分的区分能力。然后对该评分进行验证,并与 MR PREDICTS 评分进行比较。

结果

推导/验证队列分别纳入了 270/116 例患者。经过多变量逻辑回归分析,发现术前 mRS、年龄、入院血糖、入院 NIHSS、侧支循环、血栓负荷评分、阿尔伯塔卒中项目早期 CT 评分等是创建新的预后评分系统的基础,称为 Tor Vergata 卒中评分(TVSS)。TVSS 在推导队列中的预测准确性良好,AUC 为 0.825[95%CI 0.77-0.88],在验证队列中的 AUC 为 0.820[95%CI 0.74-0.90]。在验证队列中与 MR PREDICTS 相比,TVSS 显示出更高的预测能力,但差异无统计学意义(0.80 与 0.78;P=0.26)。

结论

TVSS 是一种可靠的工具,可用于选择 AIS 患者进行 MT,并优化向综合卒中中心的转移。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验