English Stephen W, Chhabra Nikita, Hanus Abigail E, Basharath Rida, Miller Monet, Butterfield Richard J, Zhang Nan, Demaerschalk Bart M
Department of Neurology, Mayo Clinic College of Medicine and Science, Jacksonville, FL, USA.
Department of Neurology, Mayo Clinic College of Medicine and Science, Scottsdale, AZ, USA.
J Telemed Telecare. 2025 Jun;31(5):647-655. doi: 10.1177/1357633X231204066. Epub 2023 Oct 29.
IntroductionPrehospital telestroke evaluations may improve stroke triage compared to paramedic-applied large vessel occlusion scales, but ambulance-based video National Institutes of Health Stroke Scale assessments are challenging. The accuracy of telestroke-administered large vessel occlusion scales has not been investigated, so we sought to evaluate this further.MethodsThis retrospective study included all in-hospital telestroke encounters in a large academic telestroke network from 2019 to 2020. We retrospectively calculated seven large vessel occlusion scales using the in-hospital telestroke National Institutes of Health Stroke Scale (Rapid Arterial oCclusion Evaluation, Cincinnati Stroke Triage Assessment Tool, Field Assessment Stroke Triage for Emergency Destination, 3-Item Stroke Scale, Prehospital Acute Stroke Severity, Vision-Aphasia-Neglect, and Gaze-Face-Arm-Speech-Time). Diagnostic performance was assessed via sensitivity, specificity, negative predictive value, positive predictive value, positive likelihood ratio, negative likelihood ratio, and accuracy using established scale thresholds. These results were compared to the National Institutes of Health Stroke Scale at thresholds of 6, 8, and 10. The area under curve was calculated using c-statistics by treating scales as continuous variables.ResultsA total of 625 patients were included; 111 (17.8%) patients had an anterior large vessel occlusion, 118 (18.9%) patients had any large vessel occlusion, and 182 (29.1%) patients had stroke mimic diagnosis. The mean age (SD) was 67.9 (15.9), 48.3% were female, and 93.4% were white. The Mean National Institutes of Health Stroke Scale (SD) was 14.9 (8.4) for patients with anterior large vessel occlusion, 4.7 (5.0) for patients with non-large vessel occlusion ischemic stroke, and 4.4 (5.8) for stroke mimic ( < 0.001). Compared to the National Institutes of Health Stroke Scale, Field Assessment Stroke Triage for Emergency Destination, and Rapid Arterial oCclusion Evaluation scales demonstrated higher accuracy and area under curve for large vessel occlusion detection.DiscussionBoth the Field Assessment Stroke Triage for Emergency Destination and Rapid Arterial oCclusion Evaluation scales outperformed the National Institutes of Health Stroke Scale for large vessel occlusion detection in patients evaluated by in-hospital telestroke. These scales may be valid alternatives to the National Institutes of Health Stroke Scale examination in this setting.
引言
与护理人员应用的大血管闭塞量表相比,院前远程卒中评估可能会改善卒中分诊,但基于救护车的视频美国国立卫生研究院卒中量表评估具有挑战性。尚未对远程卒中应用的大血管闭塞量表的准确性进行研究,因此我们试图进一步评估这一点。
方法
这项回顾性研究纳入了2019年至2020年在一个大型学术远程卒中网络中所有的院内远程卒中会诊病例。我们使用院内远程卒中美国国立卫生研究院卒中量表回顾性计算了七个大血管闭塞量表(快速动脉闭塞评估、辛辛那提卒中分诊评估工具、急诊目的地现场评估卒中分诊、三项卒中量表、院前急性卒中严重程度、视力-失语-忽视以及凝视-面部-手臂-言语-时间)。通过敏感性、特异性、阴性预测值、阳性预测值、阳性似然比、阴性似然比以及使用既定量表阈值的准确性来评估诊断性能。将这些结果与美国国立卫生研究院卒中量表在阈值为6、8和10时进行比较。通过将量表视为连续变量,使用c统计量计算曲线下面积。
结果
共纳入625例患者;111例(17.8%)患者存在前循环大血管闭塞,118例(18.9%)患者存在任何大血管闭塞,182例(29.1%)患者被诊断为类卒中。平均年龄(标准差)为67.9(15.9)岁,48.3%为女性,93.4%为白人。前循环大血管闭塞患者的平均美国国立卫生研究院卒中量表(标准差)为14.9(8.4),非大血管闭塞性缺血性卒中患者为4.7(5.0),类卒中患者为4.4(5.8)(<0.001)。与美国国立卫生研究院卒中量表相比,急诊目的地现场评估卒中分诊量表和快速动脉闭塞评估量表在检测大血管闭塞方面显示出更高的准确性和曲线下面积。
讨论
在院内远程卒中评估的患者中,急诊目的地现场评估卒中分诊量表和快速动脉闭塞评估量表在检测大血管闭塞方面均优于美国国立卫生研究院卒中量表。在这种情况下,这些量表可能是美国国立卫生研究院卒中量表检查的有效替代方法。