Carotid Plaque Characteristics Combined With Serum Inflammatory Biomarkers Predict Recurrent Ischemic Stroke

作者：Lin Wang, Tong Chen, Chun Yuan, Thomas S. Hatsukami, Xihai Zhao, Xihai Zhao, Mi Shen, Peiyi Gao, Xingquan Zhao, Xingquan Zhao, Binbin Sui · 发表于：Brain and Behavior · 年份：2025 · DOI：10.1002/brb3.70909 · 被引用次数：4 · 研究领域：Cerebrovascular and Carotid Artery Diseases、Acute Ischemic Stroke Management、S100 Proteins and Annexins

OBJECTIVE: To investigate the potential value of serum inflammatory markers combined with carotid plaque characteristics for predicting subsequent recurrent ischemic events. METHODS: Patients with cerebral infarction localized to the internal carotid artery territory were recruited. Carotid MRI examinations were performed, and the plaque characteristics were evaluated at baseline. Serum samples were obtained, and clinical characteristics were documented at baseline. All participants received clinical follow-up 1 year after discharge. Recurrent ipsilateral ischemic stroke was considered the clinical endpoint. Logistic regression analyses were employed to assess the correlations between serum inflammatory biomarkers, plaque characteristics, and the endpoint. The diagnostic performances were evaluated using receiver operating characteristic curves. DeLong's test was used to compare the areas under the curve (AUCs) of the models. RESULTS: In total, 89 patients (84.3% men; mean age, 56.57 ± 9.05 years) with recent anterior circulation (carotid territory) cerebral hemisphere ischemia were included. Sixteen patients presented with an endpoint within the 1-year follow-up. Multivariate logistic regression demonstrated that the normalized wall index, intraplaque hemorrhage, lipid-rich necrotic core, and high-sensitivity C-reactive protein (Hs-CRP) were associated with the endpoint. The model combining plaque characteristics and Hs-CRP had the highest diagnostic performance with an AUC ...