Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan.
Division of Stroke Care Unit, National Cerebral and Cardiovascular Center, 5-7-1 Fujishirodai, Suita, Osaka, 565-8565, Japan.
Transl Stroke Res. 2020 Aug;11(4):664-670. doi: 10.1007/s12975-019-00751-6. Epub 2019 Dec 12.
Patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO) should be triaged to an endovascular-capable hospital by the emergency medical service (EMS). We designed a prehospital LVO prediction scale based on EMS assessments. In the derivation cohort, 1157 patients transferred to our hospital by the EMS because of suspected stroke within 24 h of onset were retrospectively examined. Factors associated with AIS due to LVO were identified based on the EMS assessment, and a prehospital scale identifying LVO was developed. The accuracy of this scale was validated in 502 consecutive patients who were transferred to 4 stroke centers, and its accuracy was compared with those of 4 previously reported scales. AIS due to LVO was diagnosed in 149 of 1157 patients (13%) in the derivation cohort. One point each was assigned for facial palsy, arm weakness, consciousness impairment (cannot say his/her name), atrial fibrillation, and diastolic blood pressure ≤ 85 mmHg, with two points for conjugate eye deviation (FACEAD scale). In the derivation cohort, with the optimal cut-point of FACEAD ≥ 3 determined by the area under the curve (AUC; 0.88; 95% confidence interval 0.87-0.90), sensitivity, specificity, positive predictive value, and negative predictive value for FACEAD to predict LVO were 0.85, 0.80, 0.39, and 0.97, respectively. In the validation cohort, the FACEAD scale had higher accuracy, with an AUC value of 0.84 for predicting LVO compared with the other scales (all p < 0.01). The FACEAD scale is a simple, reliable tool for identifying AIS due to LVO by the EMS.
急性缺血性卒中(AIS)患者由于大血管闭塞(LVO)应通过急救医疗服务(EMS)分诊至具有血管内治疗能力的医院。我们设计了一种基于 EMS 评估的院前 LVO 预测量表。在推导队列中,回顾性检查了 1157 例因发病 24 小时内疑似卒中由 EMS 转送至我院的患者。根据 EMS 评估确定与 LVO 相关的 AIS 因素,并制定了院前 LVO 识别量表。在转送至 4 家卒中中心的 502 例连续患者中验证了该量表的准确性,并与 4 种先前报道的量表进行了比较。在推导队列中,1157 例患者中 149 例(13%)诊断为 LVO 所致 AIS。根据曲线下面积(AUC;0.88;95%置信区间 0.87-0.90)确定 FACEAD 评分≥3 的最佳切点,FACEAD 评分预测 LVO 的曲线下面积(AUC)为 0.84,灵敏度、特异度、阳性预测值和阴性预测值分别为 0.85、0.80、0.39 和 0.97。在验证队列中,FACEAD 量表具有更高的准确性,预测 LVO 的 AUC 值为 0.84,优于其他量表(均 p<0.01)。FACEAD 量表是一种简单、可靠的工具,可通过 EMS 识别 LVO 所致 AIS。