系统免疫炎症指数与颅内外动脉粥样硬化性狭窄的相关性分析

Correlation analysis of systemic immune-inflammation index and intracranial and extracranial atherosclerotic stenosis

摘要:

目的]分析系统免疫炎症指数(SII)与颅内外动脉粥样硬化性狭窄之间的关系。 [方法]回顾性分析徐州医科大学附属医院神经内科收治的489例脑梗死患者,所有患者均完成头颈部计算机体层血管成像(CTA)检查,基于这些患者的狭窄程度,相应归入无狭窄组、轻度狭窄组(狭窄程度＜50%)、中度狭窄组(狭窄程度≥50%且＜70%)、重度狭窄组(狭窄程度≥70%),并对患者的基线资料、血脂、血常规等进行记录、统计分析。经由多因素二元Logistic回归分析与狭窄发生相关的独立风险因子。用多因素Logistic回归分析与狭窄程度相关的独立风险因子,用ROC曲线分析SII预测颅内外动脉粥样硬化性狭窄的价值。 [结果]多因素二元Logistic回归分析发现,年龄(OR＝1.185,P＜0.05)、SII(OR＝1.482,P＜0.05)、性别(OR＝2.721,P＝0.003)、高血压(OR＝3.119,P＜0.001)为颅内外动脉粥样硬化性狭窄的独立风险因子。多因素Logistic回归分析发现,hs-CRP(OR＝1.197,P＝0.011)、SII(OR＝1.379,P＜0.001)、Hcy(OR＝1.517,P＝0.013)显著影响血管狭窄程度。ROC曲线分析显示,SII的曲线下面积(AUC)为0.747,最佳截断值为447.89。Spearman相关性分析结果显示,SII水平与颅内外动脉粥样硬化性狭窄、颅内外动脉粥样硬化性狭窄严重程度均呈显著正相关(r＝0.524、0.482,P＜0.05)。 [结论]SII水平与脑梗死患者颅内外动脉粥样硬化性狭窄程度独立正相关,对颅内外动脉粥样硬化性狭窄具一定预测价值。

关键词:系统免疫炎症指数;脑梗死;动脉粥样硬化;动脉狭窄

Abstract:

Aim To investigate the correlation between systemic immune-inflammation index (SII) and intracranial and extracranial atherosclerotic stenosis. Methods A retrospective analysis was conducted on 489 patients with cerebral infarction admitted to the Department of Neurology of the Affiliated Hospital of Xuzhou Medical University, and all of them were examined by head and neck computed tomography angiography (CTA). Based on the degree of stenosis in these patients, they were classified into three groups:no stenosis group, mild stenosis group (stenosis＜50%), moderate stenosis group (stenosis≥50% and ＜70%), severe stenosis group (stenosis≥70%), and the patient's baseline data, blood lipids, blood routine, etc., were recorded and statistically analyzed. Multivariate binary Logistic regression was used to explore the independent influences on whether stenosis occurred. Multivariate Logistic regression was used to explore the independent influences on the degree of stenosis. The ROC curve was used to explore the efficacy of SII in detecting intracranial and extracranial atherosclerotic stenosis. Results Multivariate binary Logistic regression analysis found that age (OR＝1.185, P＜0.05), SII (OR＝1.482, P＜0.05), gender (OR＝2.721, P＝0.003), hypertension (OR＝3.119, P＜0.001) were independent risk factors for intracranial and extracranial atherosclerotic stenosis. Multivariate Logistic regression analysis showed that hs-CRP (OR＝1.197, P＝0.011), SII (OR＝1.379, P＜0.001) and Hcy (OR＝1.517, P＝0.013) significantly affected the degree of vascular stenosis. ROC curve analysis showed that the area under the curve (AUC) of SII was 0.747, and the best cut-off value of SII was 447.89. Spearman correlation analysis showed that SII level was significantly positively correlated with the severity of intracranial and extracranial atherosclerotic stenosis (r＝0.4,0.482, P＜0.05). Conclusion SII level is positively correlated with the degree of intracranial and extracranial atherosclerotic stenosis in patients with cerebral infarction, and has a certain predictive value for intracranial and extracranial atherosclerotic stenosis.

Key words:systemic immune-inflammation index; cerebral infarction; atherosclerosis; arteriostenosis