Serum inflammatory cell adhesion molecules predict malignant cerebral edema and clinical outcome early after mechanical thrombectomy in stroke

医学 细胞粘附分子 冲程(发动机) 内科学 炎症 侧支循环 电子选择素 心脏病学 胃肠病学 病理 外科 粘附 细胞粘附 免疫学 机械工程 化学 有机化学 工程类
作者
Rongguo Hu,Duyi Zhang,Zhen Hu,Yuanxin Chen,Longxuan Li
出处
期刊:Clinical Neurology and Neurosurgery [Elsevier BV]
卷期号:223: 107507-107507 被引量:3
标识
DOI:10.1016/j.clineuro.2022.107507
摘要

Early prediction of life-threatening malignant cerebral edema (MCE) after mechanical thrombectomy (MT) is of clinical importance. Although inflammatory cell adhesion molecules (CAMs) and anti-inflammation factor Kruppel-like transcription factor (KLF) 4 are induced after acute ischemic stroke (AIS), the relationship between expressions of these molecules after MT and MCE as well as outcome in AIS patients have rarely been explored.We retrospectively reviewed the data of all AIS patients with large-vessel occlusion in anterior circulation who underwent MT from our stroke centers. The serum levels of CAMs and KLF4 were determined at 12 h after MT. MCE was assessed on follow-up head computed tomography within 5 days after MT.Of 91 included patients, 18 (19.8 %) patients experienced MCE. Patients with MCE were more likely to have higher levels of E-selectin and inter-cellular adhesion molecule 1 (ICAM-1) than those without MCE (P < 0.05). More specifically, elevated E-selectin, but not of vascular cell adhesion molecule 1 (VCAM-1), ICAM-1 and KLF4, was significantly associated with MCE after adjusting for hypertension, admission NIHSS, Alberta Stroke Program Early CT Scores, serum glucose, collateral circulation and onset to recanalization time respectively (P < 0.05). ROC curve suggested that E-selectin had considerable discrimination to predict MCE (AUC=0.7, 95 % CI: 0.55-0.83). Moreover, after adjusting by confounders, serum levels of E-selectin and ICAM-1 were independently associated with 3-month outcome in AIS patients after MT (both P < 0.05).These data indicate that of three CAMs, serum E-selectin level early after MT is the best predictor for MCE and outcome in AIS.
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