Validation of the prehospital stroke scales as a tool for in-hospital large vessel occlusion stroke: whether we satisfied?

IF 2 4区 医学 Q3 CLINICAL NEUROLOGY Acta neurologica Belgica Pub Date : 2023-10-27 DOI:10.1007/s13760-023-02402-y
Kai Qiu, Ting Xie, Ke Wei, Hai-Bin Shi, Sheng Liu
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Abstract

Background

Prehospital stroke severity scales have been widely used to identify whether community stroke patients presented with large vessel occlusion (LVO) or not. However, whether these scales are also applicable to in-hospital stroke patients remains unknown.

Purpose

We aim to validate and compare the predictive capability of these scales for these patients.

Material and methods

From January 2016 to October 2020, a total of 243 patients who activated in-hospital stroke alerts, were included in this study. The area under the curve (AUC) was used to assess the predictive ability of five scales (Field Assessment Stroke Triage for Emergency Destination [FAST-ED], Rapid Arterial Occlusion Evaluation [RACE], Los Angeles Motor Scale [LAMS], Cincinnati Prehospital Stroke Severity Scale [CPSSS], and Prehospital Acute Stroke Severity scale [PASS]) for LVO. In addition, multivariable logistic analysis was adopted to determine the predictors of LVO in our patients cohort.

Results

Finally, 94 (38.7%) patients were confirmed presence of persistent LVO. The AUC for the FAST-ED, RACE, LAMS, CPSSS, and PASS scales to predict the presence of LVO in patients activating in-hospital stroke alerts were 0.82, 0.89, 0.86, 0.81, and 0.79, respectively. After multivariable analysis, baseline NIHSS (adjusted odds ratio [OR] = 1.160, 95% confidence interval [CI] = 1.110–1.212; P < 0.001) atrial fibrillation (adjusted OR = 2.940, 95% CI = 1.387–6.230; P = 0.005) and cardiac/pulmonary procedure (adjusted OR = 6.861, 95% CI = 2.437–19.315; P < 0.001) remained independent predictors of LVO.

Conclusion

The prehospital stroke scales also showed good predictive capabilities in discriminating LVO among inpatients who activated stroke alerts. However, given that inpatients' history is more readily available, a specifically designed in-hospital stroke scale that combines stroke severity and history is warranted.

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院前卒中量表作为院内大血管闭塞性卒中工具的验证:我们是否满意?
背景:院前卒中严重程度量表已被广泛用于确定社区卒中患者是否出现大血管闭塞(LVO)。然而,这些量表是否也适用于住院中风患者仍然未知。目的:我们旨在验证和比较这些量表对这些患者的预测能力。材料和方法:从2016年1月到2020年10月,共有243名激活住院中风警报的患者被纳入本研究。曲线下面积(AUC)用于评估五种量表(急诊目的地现场评估卒中分型[FAST-ED]、快速动脉闭塞评估[RACE]、洛杉矶运动量表[LAMS]、辛辛那提院前卒中严重程度量表[CPSS]和院前急性卒中严重度量表[PASS])对LVO的预测能力。此外,在我们的患者队列中,采用多变量逻辑分析来确定LVO的预测因素。结果:最后,94例(38.7%)患者被证实存在持续性LVO。FAST-ED、RACE、LAMS、CPSSS和PASS量表预测激活院内中风警报的患者是否存在LVO的AUC分别为0.82、0.89、0.86、0.81和0.79。多变量分析后,基线NIHSS(调整比值比[OR] = 1.160,95%置信区间[CI] = 1.110-1.212;P 结论:院前卒中量表在识别激活卒中警报的住院患者LVO方面也显示出良好的预测能力。然而,鉴于住院患者的病史更容易获得,有必要专门设计一个结合中风严重程度和病史的住院中风量表。
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来源期刊
Acta neurologica Belgica
Acta neurologica Belgica 医学-临床神经学
CiteScore
4.20
自引率
3.70%
发文量
300
审稿时长
6-12 weeks
期刊介绍: Peer-reviewed and published quarterly, Acta Neurologica Belgicapresents original articles in the clinical and basic neurosciences, and also reports the proceedings and the abstracts of the scientific meetings of the different partner societies. The contents include commentaries, editorials, review articles, case reports, neuro-images of interest, book reviews and letters to the editor. Acta Neurologica Belgica is the official journal of the following national societies: Belgian Neurological Society Belgian Society for Neuroscience Belgian Society of Clinical Neurophysiology Belgian Pediatric Neurology Society Belgian Study Group of Multiple Sclerosis Belgian Stroke Council Belgian Headache Society Belgian Study Group of Neuropathology
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