Whole-Brain Permeability Analysis on Admission Improves Prediction of Delayed Cerebral Ischemia Following Aneurysmal Subarachnoid Hemorrhage

被引:8
|
作者
Zhang, Chao [1 ]
Feng, Lei [1 ]
You, Feng [1 ]
Zhao, Xintong [2 ]
Fang, Xinggen [2 ]
Zhou, Yunfeng [1 ]
机构
[1] Wannan Med Coll, Dept Radiol, Yijishan Hosp, Wuhu, Peoples R China
[2] Wannan Med Coll, Dept Neurosurgery, Yijishan Hosp, Wuhu, Peoples R China
来源
关键词
Blood-brain barrier; Aneurysmal subarachnoid hemorrhage; Delayed cerebral ischemia; CT perfusion; Permeability; PERFUSION-CT ASSESSMENT; BARRIER PERMEABILITY; DISRUPTION; INFARCTION; DAMAGE; RISK;
D O I
10.1016/j.jstrokecerebrovasdis.2022.106312
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Purpose: To evaluate the changes of blood-brain barrier permeability (BBBP) after aneurysmal subarachnoid hemorrhage (aSAH) and find out whether BBBP within 24 h after onset can further improve prediction of delayed cerebral ischemia (DCI). Methods: CT perfusion (CTP) was performed within 24 h after onset and in the DCI time window (DCITW). Whole brain average values of flow extraction product (mK(t)(rans)), qualitative and quantitative CTP parameters, and clinical data were compared between DCI and non-DCI groups. The changes of mK(t)(rans) were analysed using a Paired t test. Multivariate logistic regression analysis and ROC analyses were performed to identify predictors of DCI and evaluate the predictive performance. Results: One hundred and forty of 179 consecutive patients were included, 45 of whom (32%) developed DCI. mK(t)(rans) was higher in the DCI group both on admission and in the DCITW (P <0.001). mK(t)(rans) decreased significantly in the non-DCI group (P=0.003), but not in DCI group (P=0.285). Multivariate logistic regression analysis showed that mK(t)(rans) (OR=1.07, 95%CI: 1.03-1.11, P <0.001), World Federation of Neurosurgery Scale (OR=6.73, 95%CI: 1.09-41.41, P=0.040), Hunt-Hess grade (OR=0.16, 95%CI: 0.02-1.19, P=0.073), modified Fisher Score (OR=3.74, 95%CI: 1.30-10.75, P=0.014), and qualitative CTP (OR=4.31, 95%CI: 1.49-12.47, P=0.007) were independent predictors of DCI. The model with K-trans produced a larger AUC of 0.88 (95%CI: 0.81-0.95), with corresponding sensitivity and specificity of 84% and 86%, respectively. Conclusion: BBBP measurement within 24 h after onset can improve the prediction of DCI. Early moderate BBB disruption may be reversible, whereas severe BBBP disruption indicates the risk of DCI.
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页数:8
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