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Background and Purpose: Symptomatic intracranial hemorrhage (sICH), potentially associated with poor prognosis, is a major complication of endovascular thrombectomy (EVT) for ischemic stroke patients. We aimed to develop and validate a risk model for predicting sICH after EVT in Chinese patients due to large-artery occlusions in the anterior circulation. Methods: The derivation cohort recruited patients with EVT from the Endovascular Treatment for Acute Anterior Circulation Ischemic Stroke Registry in China. sICH was diagnosed according to the Heidelberg Bleeding Classification within 24 hours of EVT. Stepwise logistic regression was performed to derive the predictive model. The discrimination and calibration of the risk model were assessed using the C index and the calibration plot. An additional cohort of 503 patients from 2 stroke centers was prospectively enrolled to validate the new model. Results: We enrolled 629 patients who underwent EVT as the derivation cohort, among whom 87 developed sICH (13.8%). In the multivariate adjustment, Alberta Stroke Program Early CT Score (odds ratio [OR], 0.85; P =0.005), baseline glucose (OR, 1.13; P =0.001), poor collateral circulation (OR, 3.06; P =0.001), passes with retriever (OR, 1.52; P =0.001), and onset-to-groin puncture time (OR, 1.79; P =0.024) were independent factors of sICH and were incorporated as the Alberta Stroke Program Early CT Score, Baseline Glucose, Poor Collateral Circulation, Passes With Retriever, and Onset-to-Groin Puncture Time (ASIAN) score. The ASIAN score demonstrated good discrimination in the derivation cohort (C index, 0.771 [95% CI, 0.716–0.826]), as well as the validation cohort (C index, 0.758 [95% CI, 0.691–0.825]). Conclusions: The ASIAN score reliably predicts the risk of sICH in Chinese ischemic stroke patients treated by EVT.

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Background The trajectory of ischemic stroke patients attributable to large vessel occlusion is fundamentally altered by endovascular thrombectomy. This study aimed to develop a nomogram for predicting 3‐month mortality risk in patients with ischemic stroke attributed to artery occlusion in anterior circulation who received successful endovascular thrombectomy treatment. Methods and Results Patients with successful endovascular thrombectomy (modified Thrombolysis in Cerebral Infarction IIb or III) were enrolled from a multicenter registry as the training cohort. Step‐wise logistic regression with Akaike information criterion was utilized to establish the best‐fit nomogram. The discriminative value of the nomogram was tested by concordance index. An additional 224 patients from 2 comprehensive stroke centers were prospectively recruited as the test cohort for validating the new nomogram. Altogether, 417 patients were enrolled in the training cohort. Age (odds ratio [OR], 1.07; 95% CI, 1.03−1.10), poor pretreatment collateral status (OR, 2.13; 95% CI, 1.18−3.85), baseline blood glucose level (OR, 1.12; 95% CI, 1.04−1.21), symptomatic intracranial hemorrhage (OR, 9.51; 95% CI, 4.54−19.92), and baseline National Institutes of Health Stroke Scale score (OR, 1.08; 95% CI, 1.03−1.12) were associated with mortality and were incorporated in the nomogram. The c‐index of the nomogram was 0.835 (95% CI, 0.785–0.885) in the training cohort and 0.758 (95% CI, 0.667–0.849) in the test cohort. Conclusions The nomogram, composed of age, pretreatment collateral status, baseline blood glucose level, symptomatic intracranial hemorrhage, and baseline National Institutes of Health Stroke Scale score, may predict risk of mortality in patients with ischemic stroke and treated successfully with endovascular thrombectomy.

Background and Purpose— This study aimed to develop and validate a nomogram for predicting the risk of stroke recurrence among young adults after ischemic stroke. Methods— Patients aged between 18 and 49 years with first-ever ischemic stroke were selected from the Nanjing Stroke Registry Program. A stepwise Cox proportional hazards regression model was employed to develop the best-fit nomogram. The discrimination and calibration in the training and validation cohorts were used to evaluate the nomogram. All patients were classified into low-, intermediate-, and high-risk groups based on the risk scores generated from the nomogram. Results— A total of 604 patients were enrolled in this study. Hypertension (hazard ratio [HR], 2.038 [95% CI, 1.504–3.942]; P =0.034), diabetes mellitus (HR, 3.224 [95% CI, 1.848–5.624]; P <0.001), smoking status (current smokers versus nonsmokers; HR, 2.491 [95% CI, 1.304–4.759]; P =0.006), and stroke cause (small-vessel occlusion versus large-artery atherosclerosis; HR, 0.325 [95% CI, 0.109–0.976]; P =0.045) were associated with recurrent stroke. Educational years (>12 versus 0–6; HR, 0.070 [95% CI, 0.015–0.319]; P =0.001) were inversely correlated with recurrent stroke. The nomogram was composed of these factors, and successfully stratified patients into low-, intermediate-, and high-risk groups ( P <0.001). Conclusions— The nomogram composed of hypertension, diabetes mellitus, smoking status, stroke cause, and education years may predict the risk of stroke recurrence among young adults after ischemic stroke.

Oligodendrocytes express low-density lipoprotein receptor (LDLR) to endocytose cholesterol for the maintenance of adulthood myelination. However, the potential role of LDLR in chronic cerebral ischemia-related demyelination remains unclear. We used bilateral carotid artery stenosis (BCAS) to induce sustained cerebral ischemia in mice. This hypoxic-ischemic injury caused a remarkable decline of oligodendroglial LDLR with impaired oligodendroglial differentiation and survival. Oligodendroglial cholesterol levels, however, remained unchanged. Mice miR-344e-3p and human homolog miR-410-3p, two miRNAs directly targeting Ldlr, were identified in experimental and clinical leukoaraiosis, thus leading to LDLR reduction. Lentiviral delivery of LDLR ameliorated the demyelination following chronic cerebral ischemia. By contrast, Ldlr-/mice displayed inadequate myelination in the corpus callosum. Ldlr-/oligodendrocyte progenitor cells (OPCs) exhibited defective ability to differentiate and myelinate axons in vitro. Transplantation with Ldlr-/-OPCs could not rescue the BCAS-induced demyelination. Such LDLR-dependent myelin restoration might involve a physical interaction of the Asn-Pro-Val-Tyr (NPVY) motif with phosphotyrosine binding domain of Shc, which subsequently activated MEK/ERK pathway. Together, our findings demonstrate that the aberrant oligodendroglial LDLR in chronic cerebral ischemia impairs myelination through intracellular signal transduction. Preservation of oligodendroglial LDLR may provide a promising approach to treat ischemic demyelination.

Non-alcoholic fatty liver disease (NAFLD) represents a spectrum of progressive liver diseases characterized by ectopic fat accumulation without excessive alcohol consumption [1]. Patients with NAFLD are prone to have a higher risk of cardiovascular diseases by interfered glucose and lipoprotein metabolism, increased oxidative stress, and hypercoagulability [2]. However, reports on the impact of NAFLD on

Background and purpose: Early neurological improvement (ENI) after endovascular thrombectomy (EVT) has been associated with favorable outcomes. This study aimed to identify the optimal definition of ENI and develop a nomogram for predicting ENI after EVT in acute ischaemic stroke. Methods: Patients with EVT were enrolled from a multicenter registry as the training cohort. The receiver operating characteristic curve was used to estimate the optimal threshold for ENI at 24 h of EVT. Logistic regression analysis was utilized to generate the best-fit nomogram for predicting ENI. The discrimination of the nomogram was assessed using the area under the receiver operating characteristic curve (AUC). An additional 447 patients from two stroke centers were prospectively recruited as the test cohort for validating the nomogram. Results: A total of 612 patients with EVT were included in the training cohort. The optimal threshold for predicting 3-month favorable outcome (modified Rankin Scale 0-2) was an improvement of the National Institutes of Health Stroke Scale (NIHSS) score by ≥6 points (AUC 0.875; sensitivity 79.5%; specificity 90.7%). Age, blood glucose, recanalization, symptomatic intracranial hemorrhage (sICH) and baseline Alberta Stroke Program Early Computed Tomography Score (ASPECTS) were independently associated with ENI, and were incorporated in the nomogram. The AUC of the nomogram was 0.795 in the training cohort and 0.752 in the test cohort. Conclusions: A reduction of NIHSS score ≥6 appeared to be the optimal definition of ENI. The nomogram composed of age, blood glucose, recanalization, sICH and baseline ASPECTS may predict the probability of ENI in ischaemic stroke patients treated with EVT.