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.
J Neurol. 2019 Nov;266(11):2620-2628. doi: 10.1007/s00415-019-09454-2. Epub 2019 Jul 3.
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.
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.
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).
TVSS is a reliable tool for selection of AIS candidates for MT and optimization of transfer to comprehensive stroke centers.
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。
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。
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)。
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。