改进的辛辛那提院前卒中严重程度量表识别大血管闭塞的前瞻性评价。

IF 1.8 4区 医学 Q3 CLINICAL NEUROLOGY Journal of Clinical Neuroscience Pub Date : 2025-04-01 Epub Date: 2025-01-30 DOI:10.1016/j.jocn.2025.111077
Lingwen Zhang , Xiaoqing Bu , Juan Liao , Yonghong Yang , Zhao Yang , Ting Liu , Shudong Liu , Libo Zhao , Li Liu , Deyu Yang
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引用次数: 0

摘要

目的:建立一种新的、直观的诊断量表,用于预测急诊情况下大血管闭塞(LVO)和前循环LVO (ALVO),并与现有量表比较其有效性。方法:前瞻性纳入2022年2月20日至2022年11月11日期间在国家卒中综合中心急诊科连续就诊的疑似卒中患者。急诊医生使用改进的辛辛那提院前卒中严重程度量表(mCPSSS)和国立卫生研究院卒中量表(NIHSS)对每位患者进行评估。本研究分析mCPSSS及其他流行的脑卒中量表,评价其检测LVO和ALVO的有效性,采用受试者工作特征曲线(ROC)分析和曲线下面积(AUC)统计评估量表的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)和总体准确性。结果:本研究共纳入383例疑似脑卒中患者。当mCPSSS≥2时,诊断LVO的灵敏度为0.802,特异度为0.770,PPV为0.644,NPV为0.882,准确率为0.781。mCPSSS≥2预测ALVO的敏感性为0.766,特异性为0.733,PPV为0.564,NPV为0.886,准确率为0.749。mCPSSS识别LVO和ALVO的最佳截断值为2,AUC优于其他广泛使用的中风量表,LVO的AUC值为0.824,ALVO的AUC值为0.790。结论:mCPSSS可作为一种有效、直观的评估紧急情况下lvo的量表。临床试验注册信息:https://www.chictr.org.cn/ (ChiCTR2200056776)。
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Prospective evaluation of modified Cincinnati Prehospital Stroke Severity Scale for identifying large vessel occlusion

Objective

To develop a novel, straightforward diagnostic scale for predicting large vessel occlusion (LVO) and anterior circulation LVO (ALVO) in the emergency setting, evaluating its validity against existing scales.

Methods

We prospectively enrolled patients with suspected stroke presenting consecutively at the National Comprehensive Stroke Centre’s emergency department between February 20, 2022, and November 11, 2022. Emergency physicians assessed each patient using the modified Cincinnati Prehospital Stroke Severity Scale (mCPSSS) and the National Institutes of Health Stroke Scale (NIHSS). The study analyzed the mCPSSS and other prevalent stroke scales to evaluate their efficacy in detecting LVO and ALVO, employing receiver operating characteristic curve (ROC) analysis and area under the curve (AUC) statistics to assess the scales’ sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy.

Results

A total of 383 patients with suspected stroke were included in this study. The performance in identifying LVO in the emergency setting was greatest for mCPSSS ≥ 2 with a sensitivity of 0.802 and specificity of 0.770, PPV of 0.644, NPV of 0.882, and accuracy of 0.781. mCPSSS ≥ 2 was 0.766 sensitive, 0.733 specific, PPV of 0.564, NPV of 0.886, and accuracy of 0.749 in predicting ALVO. The mCPSSS identified LVO and ALVO with an optimal cut-off value of 2, exhibiting AUC superior to those of other widely used stroke scales, with AUC values of 0.824 for LVO and 0.790 for ALVO.

Conclusion

The mCPSSS could serve as an effective and straightforward scale for identifying LVOs in emergency settings.
Clinical Trial Registration information: https://www.chictr.org.cn/ (ChiCTR2200056776).
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来源期刊
Journal of Clinical Neuroscience
Journal of Clinical Neuroscience 医学-临床神经学
CiteScore
4.50
自引率
0.00%
发文量
402
审稿时长
40 days
期刊介绍: This International journal, Journal of Clinical Neuroscience, publishes articles on clinical neurosurgery and neurology and the related neurosciences such as neuro-pathology, neuro-radiology, neuro-ophthalmology and neuro-physiology. The journal has a broad International perspective, and emphasises the advances occurring in Asia, the Pacific Rim region, Europe and North America. The Journal acts as a focus for publication of major clinical and laboratory research, as well as publishing solicited manuscripts on specific subjects from experts, case reports and other information of interest to clinicians working in the clinical neurosciences.
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