Li Mimi, Liu Shufen, Chen Chunnuan
The Neurology Department of The Second Affiliated Hospital of Fujian Medical University, Zhongshan North Road 34, Quanzhou City, Fujian Province, 362000, China.
BMC Neurol. 2025 Apr 30;25(1):189. doi: 10.1186/s12883-025-04208-2.
To determine the correlation between intracranial atherosclerotic stenosis and high-sensitivity C-reactive protein (hs-CRP) levels in elderly patients with cerebral infarction.
We performed a retrospective assessment of acute minor ischemic stroke patients aged over 60 at our institution from January 2021 to May 2023. A thorough computed tomography angiography (CTA) assessment was conducted for each participant. The patients were classified into four categories according to the site of stenosis in the cerebral arteries: (1) intracranial atherosclerotic stenosis (ICAS), (2) extracranial atherosclerotic stenosis (ECAS), (3) combined intracranial and extracranial atherosclerotic stenosis (IEAS), and (4) non-arterial stenosis (NOAS). Multivariate logistic regression analysis was utilized to evaluate the relationship between intracranial atherosclerotic stenosis and hs-CRP levels. The predictive efficacy of hs-CRP for intracranial arterial stenosis was assessed utilizing the Receiver Operating Characteristic (ROC) curve.
The research comprised 203 participants in total. Among these, 73 individuals (34.96%) were categorized as having Intracranial Stenosis Atherosclerosis (ICAS). The hs-CRP levels in the ICAS group were markedly elevated (P = 0.011), while no significant difference in hs-CRP levels was observed between the ECAS and NOAS groups (P = 0.080). Hs-CRP levels were found to be independently correlated with intracranial arterial stenosis (OR 1.136, 95% CI 1.038-1.242, P = 0.006) following multivariable analysis, as shown in Table 2. The upper quartile of hs-CRP was determined to be a statistically significant independent risk factor for intracranial stenosis (OR 3.779, 95% CI 1.519-9.402, P = 0.004). The area under the curve (AUC) for hs-CRP was calculated to be 0.632 following the analysis of the ROC curve. The ideal cutoff value for hs-CRP was established at 3.96 mg/L, accompanied by a 95% confidence interval ranging from 0.555 to 0.710 (P = 0.001). The sensitivity and specificity were 0.500 and 0.735, respectively.
In elderly patients with acute minor ischemic stroke, elevated hs-CRP levels are significantly correlated with intracranial atherosclerosis stenosis, rather than extracranial atherosclerotic stenosis.
确定老年脑梗死患者颅内动脉粥样硬化狭窄与高敏C反应蛋白(hs-CRP)水平之间的相关性。
我们对2021年1月至2023年5月在我院就诊的60岁以上急性轻度缺血性卒中患者进行了回顾性评估。对每位参与者进行了全面的计算机断层扫描血管造影(CTA)评估。根据脑动脉狭窄部位将患者分为四类:(1)颅内动脉粥样硬化狭窄(ICAS),(2)颅外动脉粥样硬化狭窄(ECAS),(3)颅内和颅外动脉粥样硬化联合狭窄(IEAS),以及(4)非动脉狭窄(NOAS)。采用多因素逻辑回归分析评估颅内动脉粥样硬化狭窄与hs-CRP水平之间的关系。利用受试者工作特征(ROC)曲线评估hs-CRP对颅内动脉狭窄的预测效能。
本研究共纳入203名参与者。其中,73人(34.96%)被归类为颅内动脉粥样硬化狭窄(ICAS)。ICAS组的hs-CRP水平显著升高(P = 0.011),而ECAS组和NOAS组之间的hs-CRP水平无显著差异(P = 0.080)。如表2所示,多因素分析后发现hs-CRP水平与颅内动脉狭窄独立相关(OR 1.136,95%CI 1.038 - 1.242,P = 0.006)。hs-CRP的上四分位数被确定为颅内狭窄的统计学显著独立危险因素(OR 3.779,95%CI 1.519 - 9.402,P = 0.004)。分析ROC曲线后,hs-CRP的曲线下面积(AUC)计算为0.632。hs-CRP的理想截断值确定为3.96mg/L,95%置信区间为0.555至0.710(P = 0.001)。敏感性和特异性分别为0.500和0.735。
在老年急性轻度缺血性卒中患者中,hs-CRP水平升高与颅内动脉粥样硬化狭窄显著相关,而非颅外动脉粥样硬化狭窄。