Predictors for large vessel recanalization before stroke thrombectomy: the HALT score

医学 溶栓 心脏病学 内科学 心房颤动 冲程(发动机) 血管造影 罪魁祸首 半影 接收机工作特性 心肌梗塞 缺血 机械工程 工程类
作者
Marco Colasurdo,Huanwen Chen,Chad Schrier,Mazhar Khalid,Mihir Khunte,Timothy R. Miller,Jacob Cherian,Ajay Malhotra,Dheeraj Gandhi
出处
期刊:Journal of NeuroInterventional Surgery [BMJ]
卷期号:16 (3): 237-242 被引量:9
标识
DOI:10.1136/jnis-2023-020220
摘要

Background Large vessel recanalization (LVR) before endovascular therapy (EVT) for acute large vessel ischemic strokes is a poorly understood phenomenon. Better understanding of predictors for LVR is important for optimizing stroke triage and patient selection for bridging thrombolysis. Methods In this retrospective cohort study, consecutive patients presenting to a comprehensive stroke center for EVT treatment were identified from 2018 to 2022. Demographic information, clinical characteristics, intravenous thrombolysis (IVT) use, and LVR before EVT were recorded. Factors independently associated with different rates of LVR were identified, and a prediction model for LVR was constructed. Results 640 patients were identified. 57 (8.9%) patients had LVR before EVT. A minority (36.4%) of LVR patients had significant improvements in National Institutes of Health Stroke Scale. Independent predictors for LVR were identified and used to construct the 8-point HALT score: hyperlipidemia (1 point), atrial fibrillation (1 point), location of vascular occlusion (internal carotid: 0 points, M1: 1 point, M2: 2 points, vertebral/basilar: 3 points), and thrombolysis at least 1.5 hours before angiography (3 points). The HALT score had an area under the receiver-operating curve (AUC) of 0.85 (95% CI 0.81 to 0.90, P<0.001) for predicting LVR. LVR before EVT occurred in only 1 of 302 patients (0.3%) with low (0–2) HALT scores. Conclusions IVT at least 1.5 hours before angiography, site of vascular occlusion, atrial fibrillation, and hyperlipidemia are independent predictors for LVR. The 8-point HALT score proposed in this study may be a valuable tool for predicting LVR before EVT.
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