国家神经系统疾病临床医学研究中心数据管理与共享系统

发表杂志：BMC Neurology

发表类型: Article

影响因子(IF): 2.6

PMID: 36658535 Pubmed原文链接 全文下载

Acute ischemic stroke patients with large vessel occlusion (LVO) have a high incidence of early neurological deterioration (END) and a worse 3-month prognosis. Endovascular therapy (EVT) is the standard treatment in acute ischemic stroke patients with LVO. In acute ischemic stroke patients with LVO, early EVT improved the 3-month functional outcome and reduced the incidence of END. Patients with mild stroke and LVO who did not receive reperfusion therapy (including IVT and EVT) had a considerable rate (approximate 30%) of disability. IVT and EVT might improve functional outcome in patients with mild stroke and LVO, although this perspective was currently controversial. Due to the mild clinical symptoms, the proportion of these patients receiving reperfusion therapy was low. There are few studies about whether the clinical symptoms of these patients are different from those of moderate-to-severe stroke patients with LVO. The National Institutes of Health Stroke Scale (NIHSS) score and NIHSS subitem scores are designed to evaluate the severity of stroke according to the clinical symptoms of patients, and have been widely used in many scales to select patients with LVO. These scales select LVO patients by focusing on the most identifiable clinical symptoms. However, whether the clinical features of mild stroke patients with LVO differ from moderate-to-severe stroke patients with LVO is still unknown. In this study, we aimed to compared the demographic, clinical characteristics and NIHSS subitems between LVO and non-LVO groups in mild stroke patients. The differences of NIHSS subitems in LVO group between mild stroke patients and moderate-to-severe stroke patients were also compared.

Patients were divided into LVOs group and non-LVs group. The continuous variables of baseline characteristics were reported by computing the mean ± standard deviation (SD) or by median ± interquartile range (IQR), and the differences were tested by the t-test or the Mann-Whitney U-test. The categorical variables were reported by summarizing the proportions (n), and the differences were tested by the Pearson χ2 test. Then, we analyzed the data in a logistic regression model. The baseline characteristics and NIHSS subitem scores with possible association (P<0.2) were included in the model.