| 刘彤彤,孔德莲,张 卫,胡 莹,张 慈,时宏娟,花 放.SII联合MHR对ICAS相关缺血性卒中急性期进展的预测价值[J].,2024,(21):4116-4122 |
| SII联合MHR对ICAS相关缺血性卒中急性期进展的预测价值 |
| Predictive Value of Systemic Immune Inflammation Index Combined with Monocyte High Density Lipoprotein Ratio for Acute Phase Progression of ICAS-related Ischemic Stroke |
| 投稿时间：2024-05-20 修订日期：2024-06-14 |
| DOI：10.13241/j.cnki.pmb.2024.21.021 |
| 中文关键词: 单核细胞高密度脂蛋白比值（MHR） 全身免疫炎症指数（SII） 颅内动脉粥样硬化性狭窄（ICAS） ICAS相关缺血性卒中 急性缺血性卒中（AIS） 进展性卒中 |
| 英文关键词: Monocyte high density lipoprotein ratio (MHR) Systemic immunoinflammatory index (SII) Intracranial Atherosclerosis (ICAS) ICAS-related ischemic stroke Acute ischemic stroke (AIS) Progressive stroke |
| 基金项目:徐州市科技项目（KC16SL142） |
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| 中文摘要: |
| 摘要 目的：探讨全身免疫炎症指数（SII）联合单核细胞高密度脂蛋白比值（MHR）对ICAS相关缺血性卒中急性期发生进展的预测价值。方法：回顾性收集2021年1月-2023年7月于徐州医科大学附属医院住院的ICAS相关缺血性卒中患者280例，根据发病7天内NIHSS评分是否较基线增加≥2分或运动项评分较基线增加≥1分分为进展性卒中组和非进展性卒中组，利用单因素分析两组患者的基线资料及SII和MHR，并采用多因素Logistic回归分析对影响急性期发生进展的独立相关因素进行分析，应用受试者工作特征（ROC）曲线分析SII联合MHR对ICAS相关缺血性卒中急性期发生进展的预测价值。结果：在280例急性缺血性卒中患者中，发生进展的有49例，未发生进展的有231例。多因素Logistic回归表明，SII（OR=1.005，95%CI：1.003-1.007，P<0.001）及MHR（OR=2.134，95%CI：1.512-3.012，P<0.001）、NIHSS评分（OR=1.240，95%CI：1.106-1.391，P<0.001）均是ICAS相关缺血性卒中急性期发生进展的独立危险因素，且ROC曲线分析显示SII联合MHR预测价值最大，曲线下面积为0.857（95%CI：0.810-0.0.895，P<0.001），最佳截断值为0.29，敏感度为67.3%，特异度为 91.8%。结论：SII联合MHR对ICAS相关缺血性卒中急性期进展有良好的预测价值。 |
| 英文摘要: |
| ABSTRACT Objective: To investigate the predictive value of systemic immunoinflammatory index (SII) combined with monocyte high density lipoprotein ratio (MHR) for acute progression of intracranial atherosclerosis (ICAS) related ischemic stroke. Methods: A total of 280 patients with acute ICAS-related stroke admitted to the Affiliated Hospital of Xuzhou Medical University from January 2021 to July 2023 were retrospectively collected and divided into progressive stroke group and non-progressive stroke group according to the NIHSS score (increased by ≥2 points) or exercise score (increased by ≥1 point from baseline) within 7 days of onset. Univariate analysis was performed on baseline data, SII and MHR between the two groups, and multivariate Logistic regression analysis was used to analyze the independent correlation factors affecting the progression of acute phase. The predictive value of SII combined with MHR in the progression of acute phase of ICAS-related ischemic stroke was analyzed by receiver operating characteristics (ROC) curve. Results: Among 280 patients with acute ischemic stroke, with 49 cases progression in acute stage and 231 cases of no progression. Multivariate Logistic regression showed that SII (OR=1.005, 95%CI: 1.003-1.007, P<0.001) and MHR (OR=2.134, 95%CI: 1.512-3.012, P<0.001), NIHSS score (OR=1.240, 95%CI: 1.106-1.391, P<0.001) were independent risk factors for the progression of ICAS-related ischemic stroke in the acute phase, and ROC curve analysis showed that SII combined with MHR had the greatest predictive value, 0.857 (95%CI: 0.810-0.0.895, P<0.001), the best cut-off value was 0.29, the sensitivity was 67.3%, and the specificity was 91.8%. Conclusion: SII combined with MHR has a good predictive value for the progression of ICAS-related ischemic stroke in acute stage. |
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