Clinical and imaging predictors for hemorrhagic transformation of acute ischemic stroke after endovascular thrombectomy

Author:

Kuang Yongyao12,Zhang Lingtao2,Ye Kunlin2,Jiang Zijie3,Shi Changzheng2,Luo Liangping2ORCID

Affiliation:

1. Department of Radiology Shunde Hospital of Southern Medical University Foshan China

2. Medical Imaging Center The First Affiliated Hospital of Jinan University Guangzhou China

3. Medical Imaging Center Shenzhen Hospital of Southern Medical University Shenzhen China

Abstract

AbstractBackground and PurposeHemorrhagic transformation (HT) is a common complication of endovascular thrombectomy (EVT) in patients with acute ischemic stroke (AIS). Our study aims to investigate the clinical and imaging predictors of HT and symptomatic intracranial hemorrhage (sICH) in patients who underwent EVT.MethodsA retrospective analysis of 118 patients undergoing EVT for acute anterior circulation stroke was performed. Potential clinical and imaging predictors of all patients were collected and multivariate logistic regression was performed. The risk prediction system was constructed according to the multivariate logistic regression results.ResultsThe incidence of HT and sICH after EVT were 46.6% and 15.3%, respectively. The multivariate logistic regression results showed that Alberta Stroke Program Early CT Score (ASPECTS) (p = .001, odds ratio [OR] = 0.367, 95% [confidence interval] CI, 0.201‐0.670), collateral status (p<.001, OR = 0.117, 95% CI, 0.042‐0.325), relative cerebral blood flow (CBF) ratio (p = .025, OR = 0.943, 95% CI, 0.895‐0.993), and blood glucose on admission (p = .012, OR = 1.258, 95% CI, 1.053‐1.504) were associated with HT. While for sICH, collateral circulation (p = .007, OR = 0.148, 95% CI, 0.037‐0.589), ASPECTS (p = .033, OR = 0.510, 95% CI, 0.274‐0.946), and blood glucose (p = .005, OR = 1.304, 95% CI, 1.082‐1.573) were independent factors. The predictive model for HT after EVT was established, and the sensitivity and specificity of it were 90.9% and 79.4%, respectively, with the area under the curve of 90.0% (84.5%‐95.4%).ConclusionCollateral status, ASPECTS, relative CBF ratio, and blood glucose on admission were predictors for HT in AIS patients, while collateral status, ASPECTS, and blood glucose on admission were also predictors for sICH. In addition, the established predictive model showed good diagnostic value for prediction of HT after EVT.

Publisher

Wiley

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

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