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院前RACE量表对急性卒中患者大血管闭塞的预测价值

Predictive Value of the Prehospital RACE Scale for Large Vessel Occlusion in Acute Stroke Patients.

作者信息

Truong Anh Tuan Le, Tran Hang Thi Minh, Phan Loc Dang, Nguyen Huong Bich Thi, Nguyen Trung Quoc, Le Tra Vu Son, Chiem Duc Nguyen, Nguyen Huy, Nguyen Thanh N, Nguyen Thang Huy

机构信息

Department of Cerebrovascular Disease, People's 115 Hospital, Ho Chi Minh City, Vietnam.

Department of Neurology, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam.

出版信息

Cerebrovasc Dis Extra. 2025;15(1):39-47. doi: 10.1159/000543260. Epub 2024 Dec 24.

DOI:10.1159/000543260
PMID:39719132
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11842085/
Abstract

INTRODUCTION

Prehospital stroke scales have been developed to identify anterior large vessel occlusion (LVO) in acute ischemic stroke (AIS) patients for direct transport to thrombectomy-capable hospitals. However, its performance in a Vietnamese population remains unknown. We aimed to evaluate the predictive value of the Rapid Arterial oCclusion Evaluation (RACE) scale for LVO detection in patients with ischemic stroke presenting within 24 h in Vietnam.

METHODS

This was a prospective study of patients with AIS admitted at People's 115 Hospital between May 2022 and October 2022. All patients were assessed with the RACE scale with five items: facial palsy (scored 0-2), arm motor function (0-2), leg motor function (0-2), gaze (0-1), and aphasia or agnosia (0-2). LVO was diagnosed by CTA or MRA. Receiver operating characteristic curve, sensitivity, specificity, and accuracy of the RACE scale were analyzed to evaluate its predictive value for LVO.

RESULTS

There were 318 patients included. LVO was detected in 121/318 patients (37.6%). The higher the RACE score, the higher the proportion of patients with LVO (p < 0.001). Receiver operating characteristic curves showed capacity to predict LVO of the RACE scale with an area under the curve (AUC) of 0.767. The optimal RACE cutoff was ≥5 with sensitivity = 0.68, specificity = 0.79, positive predictive value = 0.67, negative predictive value = 0.80, and overall accuracy = 0.75. RACE ≥5 had higher sensitivity and same specificity for detecting LVO in AIS patients within 6-h versus 6-24-h window (AUC = 0.79 vs. 0.75, sensitivity = 0.74 vs. 0.65, specificity = 0.79 vs. 0.80, accuracy = 0.77 vs. 0.74).

CONCLUSIONS

The RACE scale is a simple tool that can accurately identify AIS patients with LVO. This tool may be useful for early detection of LVO patients and should be validated in the prehospital setting in Vietnam.

摘要

引言

院前卒中量表已被开发用于识别急性缺血性卒中(AIS)患者的前循环大血管闭塞(LVO),以便直接转运至有取栓能力的医院。然而,其在越南人群中的表现尚不清楚。我们旨在评估快速动脉闭塞评估(RACE)量表对越南24小时内就诊的缺血性卒中患者LVO检测的预测价值。

方法

这是一项对2022年5月至2022年10月期间在115人民医院收治的AIS患者进行的前瞻性研究。所有患者均使用包含五项内容的RACE量表进行评估:面瘫(评分0 - 2)、上肢运动功能(0 - 2)、下肢运动功能(0 - 2)、凝视(0 - 1)以及失语或失认(0 - 2)。LVO通过CTA或MRA诊断。分析RACE量表的受试者操作特征曲线、敏感性、特异性和准确性,以评估其对LVO的预测价值。

结果

共纳入318例患者。121/318例患者(37.6%)检测到LVO。RACE评分越高,LVO患者的比例越高(p < 0.001)。受试者操作特征曲线显示RACE量表预测LVO的能力,曲线下面积(AUC)为0.767。RACE的最佳截断值为≥5,敏感性 = 0.68,特异性 = 0.79,阳性预测值 = 0.67,阴性预测值 = 0.80,总体准确性 = 0.75。在6小时内与6 - 24小时窗口内的AIS患者中,RACE≥5检测LVO具有更高的敏感性和相同的特异性(AUC = 0.79对0.75,敏感性 = 0.74对0.65,特异性 = 0.79对0.80,准确性 = 0.77对0.74)。

结论

RACE量表是一种能够准确识别合并LVO的AIS患者的简单工具。该工具可能有助于早期发现LVO患者,应在越南的院前环境中进行验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00a6/11842085/ed1196206dc9/cee-2025-0015-0001-543260_F04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00a6/11842085/865ca0c43385/cee-2025-0015-0001-543260_F01.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00a6/11842085/6be393d3bed7/cee-2025-0015-0001-543260_F03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00a6/11842085/ed1196206dc9/cee-2025-0015-0001-543260_F04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00a6/11842085/865ca0c43385/cee-2025-0015-0001-543260_F01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00a6/11842085/41b3f961511e/cee-2025-0015-0001-543260_F02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00a6/11842085/6be393d3bed7/cee-2025-0015-0001-543260_F03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00a6/11842085/ed1196206dc9/cee-2025-0015-0001-543260_F04.jpg

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