Modified prehospital stroke scales predict large vessel occlusion in patients with in-hospital stroke
10.3760/cma.j.issn.1673-4165.2025.03.001
- VernacularTitle:改良院前卒中量表预测院内卒中患者的大血管闭塞
- Author:
He JIANG
1
;
Cheng WANG
;
Xiaohua MU
;
Chunxiang XU
;
Huijuan ZHANG
Author Information
1. 东台市人民医院神经内科，盐城 224200
- Keywords:
Ischemic stroke;
Hospitalization;
Arterial occlusive diseases;
Emergency medical services;
Neurologic examination;
Atrial fibrillation;
Cardiac surgical pro
- From:
International Journal of Cerebrovascular Diseases
2025;33(3):161-167
- CountryChina
- Language:Chinese
-
Abstract:
Objectives:To develop modified prehospital stroke scales and to evaluate their predictive value for in-hospital acute large vessel occlusion (LVO) stroke.Methods:Patients admitted to Dongtai People's Hospital due to non-stroke-related diseases and activated the in-hospital stroke green channel due to suspected stroke symptoms during hospitalization from January 2015 to December 2022 were included retrospectively. According to the final imaging diagnosis, they were divided into LVO group and non-LVO group. The five prehospital stroke scales included 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). Multivariate logistic regression analysis was used to determine independent predictive factors of LVO in patients with in-hospital stroke, and incorporating them into the prehospital stroke scale to develop modified scales. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of the modified scales. Results:A total of 174 patients with in-hospital stroke were enrolled, including 92 males (52.9%), aged 65.7±11.9 years. Fifty-four patients (31.0%) had LVO, and 59 (33.9%) had a surgical history within 3 days before the onset of stroke, mainly cardiopulmonary surgeries. Multivariate logistic regression analysis showed that atrial fibrillation (odds ratio 2.940, 95% confidence interval 1.387-6.230; P=0.005) and recent history of cardiopulmonary surgery (odds ratio 6.861, 95% confidence interval 2.437-11.315; P<0.001) were the independent predictive factors of LVO in patients with in-hospital stroke. According to the β coefficient and ROC curve, they were assigned a score of 1 and included in the prehospital stroke scale. The area under the curve of the modified scale for predicting LVO (mRACE: 0.917; mFAST-ED: 0.865; mPASS: 0.859; mCPSSS: 0.853; mLAMS: 0.907) was significantly higher than the corresponding original scale (RACE: 0.888; FAST-ED: 0.820; PASS: 0.786; CPSSS: 0.810; LAMS: 0.859) (all P<0.05). Conclusion:The modified scales based on the prehospital stroke scales can significantly improve the predictive value of in-hospital acute LVO stroke compared to the original prehospital stroke scales.
