Evidence map›Paper›PMID 37889423›Full record

ArticleActa neurologica Belgica2024

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

Kai Qiu, Ting Xie, Ke Wei, Hai-Bin Shi, Sheng Liu

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Article in Acta neurologica Belgica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Kai Qiu *Department of Interventional Radiology, The First Affiliated Hospital With Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, China.ORCID http://orcid.org/0000-0001-6893-9565
Ting Xie *Department of Radiology, Women's Hospital of Nanjing Medical University, Nanjing, 210000, China.
Ke WeiDepartment of Stroke Center, The First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
Hai-Bin ShiDepartment of Interventional Radiology, The First Affiliated Hospital With Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, China. xiaoqiuyiseng@163.com.ORCID http://orcid.org/0000-0003-1293-5789
Sheng LiuDepartment of Interventional Radiology, The First Affiliated Hospital With Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, China. liushengnjmu@163.com.ORCID http://orcid.org/0000-0002-4058-4413
Nanjing Medical University · CN

Funding

Social Development Projects of Jiangsu Province BE2022809 to SL
6 · The paper itself

Abstract

backgroundPrehospital 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

methodsFrom 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.

resultsFinally, 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.

conclusionThe 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.

Indexed as

Arterial Occlusive DiseasesBrain IschemiaEmergency Medical ServicesIschemic StrokeStrokeHospitalsHumansPredictive Value of TestsAcute strokeIn-hospital strokeLarge vessel occlusionPredictScale

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PMID37889423
OpenAlexW4387965214

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.