在大型学术远程卒中网络中,院前卒中量表在预测大血管闭塞方面优于美国国立卫生研究院卒中量表。

IF 3.2 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Journal of Telemedicine and Telecare Pub Date : 2025-06-01 Epub Date: 2023-10-29 DOI:10.1177/1357633X231204066
Stephen W English, Nikita Chhabra, Abigail E Hanus, Rida Basharath, Monet Miller, Richard J Butterfield, Nan Zhang, Bart M Demaerschalk
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引用次数: 0

摘要

引言:与医护人员应用的大血管闭塞量表相比,院前远程中风评估可能会改善中风分诊,但基于救护车的视频美国国立卫生研究院中风量表评估具有挑战性。远程中风大血管闭塞量表的准确性尚未得到研究,因此我们试图对此进行进一步评估。方法:这项回顾性研究包括2019年至2020年在一个大型学术远程中风网络中发生的所有住院远程中风。我们使用美国国立卫生研究院住院远程卒中卒中量表(快速动脉闭塞评估、辛辛那提卒中分型评估工具、紧急目的地现场评估卒中分型、三项卒中量表、院前急性卒中严重程度、视力失语症忽视和凝视面部-手臂言语时间)回顾性计算了七个大血管闭塞量表。使用已建立的量表阈值,通过敏感性、特异性、阴性预测值、阳性预测值、正似然比、阴性似然比和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中风量表的阈值分别为6、8和10进行比较。曲线下面积是使用c统计量通过将尺度视为连续变量来计算的。结果:共纳入625例患者;111名(17.8%)患者出现前大血管闭塞,118名(18.9%)患者有任何大血管闭塞。182名(29.1%)患者被诊断为模拟中风。平均年龄(SD)为67.9岁(15.9岁),48.3%为女性,93.4%为白人。美国国立卫生研究院的平均卒中量表(SD)对前大血管闭塞患者为14.9(8.4),对非大血管闭塞缺血性卒中患者为4.7(5.0),对模拟卒中患者为4.4(5.8)(p 讨论:急诊目的地现场评估卒中分型和快速动脉闭塞评估量表在医院远程卒中评估患者的大血管闭塞检测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中风量表检查的有效替代品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prehospital stroke scales outperform National Institutes of Health Stroke Scale in predicting large vessel occlusion in a large academic telestroke network.

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 (p < 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.

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来源期刊
CiteScore
14.10
自引率
10.60%
发文量
174
审稿时长
6-12 weeks
期刊介绍: Journal of Telemedicine and Telecare provides excellent peer reviewed coverage of developments in telemedicine and e-health and is now widely recognised as the leading journal in its field. Contributions from around the world provide a unique perspective on how different countries and health systems are using new technology in health care. Sections within the journal include technology updates, editorials, original articles, research tutorials, educational material, review articles and reports from various telemedicine organisations. A subscription to this journal will help you to stay up-to-date in this fast moving and growing area of medicine.
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