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Objective: To investigate whether hyperdense middle cerebral artery sign (HMCAS) on pretreatment no-contrast CT (NCCT) is associated with hemorrhagic transformation (HT) after endovascular thrombectomy (EVT)., Methods: Patients with acute middle cerebral artery (MCA) occlusion who received EVT in three comprehensive hospitals were retrospectively evaluated. They were divided into four groups based on the presence or absence of HMCAS and corresponding CTA findings, among whom differences were compared. Univariate and multivariate logistic regression analyses were performed to investigate the association between HMCAS and HT and its subtypes., Results: 318 patients were included, among whom 149 (46.9%) had HMCAS. Patients in the proximal positive HMCAS group had higher National Institute of Health Stroke Scale scores and lower Alberta Stroke Program Early CT Scores (ASPECTS) than those in the proximal negative HMCAS group. The rate of HT was higher in the proximal positive HMCAS group than that in the proximal negative HMCAS group. In multivariate logistic regression analysis, the proximal HMCAS were independently associated with HT (adjusted OR = 2.073, 95% CI 1.211-3.551, p = 0.008) and aHT (adjusted OR = 2.271, 95% CI 1.294-3.986, p = 0.004), but not with sHT. Patients who developed HT, including aHT and sHT, had a lower rate of good outcome., Conclusion: Proximal HMCAS on initial NCCT was independently associated with aHT in patients who received EVT for acute MCA occlusion. Both aHT and sHT had a detrimental effect on clinical outcome., (© 2022. The Author(s).)

Background: Symptomatic intracranial hemorrhage (sICH) is a devastating complication of endovascular thrombectomy (EVT). We aim to develop and validate a nomogram for predicting sICH in patients with large vessel occlusion (LVO) in the anterior circulation., Methods: We performed a single-center retrospective analysis on collected data from patients undergoing EVT for LVO in the anterior circulation between January 2018 and December 2021. Forward stepwise logistic regression was performed to identify independent predictors of sICH and establish a nomogram. The discrimination and calibration of the model was accessed using the area under the receiver operating characteristic curve (AUC-ROC) and calibration plot. The model was internally validated using bootstrap and 5-fold cross-validation., Results: 243 patients were included, among whom 23 developed sICH (9.5%). After multivariate logistic regression, baseline glucose level (odds ratio [OR], 1.16; p = 0.022), Alberta Stroke Program Early CT Score (OR, 0.44; p < 0.001), regional Leptomeningeal Collateral score (OR, 0.74; p < 0.001) were identified as independent predictors of sICH, which were then incorporated into a predictive nomogram. The ROC curve of the model showed good discriminative ability with an AUC of 0.856 (95% CI: 0.785-0.928). The calibration plot of the model demonstrated good consistency between the actual observed and the predicted probability of sICH. The model was internally validated by using bootstrap (1000 resamples) with an AUC of 0.835 (95%CI: 0.782-0.887) and 5-fold cross-validation with an AUC of 0.831 (95%CI: 0.775-0.887)., Conclusion: Our model is a reliable tool to predict sICH after EVT. Although the model was internally validated, further external validation is also warranted., (Copyright © 2022 Elsevier B.V. All rights reserved.)

The theory of branch atheromatous disease (BAD) has been commonly underused in clinical practice and research since it was proposed in 1989. In this study, we sought to explore clinical characteristics of its substypes and biomarkers for prognosis of BAD. A total of 176 consecutive patients with BAD were classified into two groups: paramedianpontine artery group (PPA group, n=70) and lenticulostriate artery group (LSA group, n=106). Bivariate analyses were used to explore the relationship between white matter hyperintensities (WMHs), National Institutes of Health Stroke Scale (NIHSS) scores and prognosis evaluated by the modified Rank Scale (mRS) at 6th month after stroke. The differences in prevalence of diabetes mellitus and a history of ischemic heart disease were statistically significant between PPA group and LSA group (χ 2 =8.255, P=0.004; χ 2 =13.402, P<0.001). The bivariate analyses demonstrated a positive correlation between NIHSS and poor prognosis in patients with BAD and in the two subtype groups, and a positive correlation between WMHs and poor prognosis in the PPA group. It is concluded that a significantly higher prevalence of diabetes mellitus and a history of ischemic heart disease exist in the PPA group than in the LSA group. In addition, high grades of NIHSS scores imply poor prognosis in patients with BAD and in the two subtype groups. Moreover, WMHs are a positive predictor for poor prognosis in patients in the PPA group.

Based on the recently proposed Chinese ischemic stroke subclassification (CISS) system, intracranial branch atheromatous disease (BAD) is divided into large artery atherosclerosis (LAA) and penetrating artery disease (PAD). In the current retrospective analysis, we compared the general characteristics of BAD-LAA with BAD-PAD, BAD-LAA with non-BAD-LAA and BAD-PAD with non-BAD-PAD. The study included a total of 80 cases, including 45 cases of BAD and 35 cases of non-BAD. Subjects were classified using CISS system: BAD-LAA, BAD-PAD, non-BAD-LAA and non-BAD-PAD. In addition to analysis of general characteristics, the correlation between the factors and the two subtypes of BAD was evaluated. The number of cases included in the analysis was: 32 cases of BAD-LAA, 13 cases of BAD-PAD, 21 cases of non-BAD-LAA, and 14 cases of non-BAD-PAD. Diabetes mellitus affected more non-BAD-LAA patients than BAD-LAA patients (P=0.035). In comparison with non-BAD-PAD, patients with BAD-PAD were younger (P=0.040), had higher initial NIHSS score (P<0.001) and morbidity of ischemic heart disease (P=0.033). Within patients with BAD, the PAD subtype was associated with smoking (OR=0.043; P=0.011), higher low-density lipoprotein (OR=5.339; P=0.029), ischemic heart disease (OR=9.383; P=0.047) and diabetes mellitus (OR=12.59; P=0.020). It was concluded that large artery atherosclerosis was the primary mechanism of BAD. The general characteristics showed no significant differences between the CISS subtypes of LAA and PAD within BAD, as well as between the BAD and non-BAD within LAA subtype. Several differences between PAD subtypes of BAD and non-BAD were revealed.