Background and Purpose: Accurate prediction of functional outcome after stroke would provide evidence for reasonable post-stroke management. This study aimed to develop a machine learning-based prediction model for 6-month unfavorable functional outcome in Chinese acute ischemic stroke (AIS) patient. Methods: We collected AIS patients at National Advanced Stroke Center of Nanjing First Hospital (China) between September 2016 and March 2019. The unfavorable outcome was defined as modified Rankin Scale score (mRS) 3–6 at 6-month. We developed five machine-learning models (logistic regression, support vector machine, random forest classifier, extreme gradient boosting, and fully-connected deep neural network) and assessed the discriminative performance by the area under the receiver-operating characteristic curve. We also compared them to the Houston Intra-arterial Recanalization Therapy (HIAT) score, the Totaled Health Risks in Vascular Events (THRIVE) score, and the NADE nomogram. Results: A total of 1,735 patients were included into this study, and 541 (31.2%) of them had unfavorable outcomes. Incorporating age, National Institutes of Health Stroke Scale score at admission, premorbid mRS, fasting blood glucose, and creatinine, there were similar predictive performance between our machine-learning models, while they are significantly better than HIAT score, THRIVE score, and NADE nomogram. Conclusions: Compared with the HIAT score, the THRIVE score, and the NADE nomogram, the RFC model can improve the prediction of 6-month outcome in Chinese AIS patients.

High-resolution magnetic resonance imaging (HRMRI) is the most important and popular vessel wall imaging technique for the direct assessment of vessel wall and cerebral arterial disease. It can identify the cause of stroke in high-risk plaques and differentiate the diagnosis of head and carotid artery dissection, including inflammation, Moya Moya disease, cerebral aneurysm, vasospasm after subarachnoid hemorrhage, reversible cerebral vasoconstriction syndrome, blunt cerebrovascular injury, cerebral arteriovenous malformations, and other stenosis or occlusion conditions. Through noninvasive visualization of the vessel wall in vitro, quantified assessment of luminal stenosis and pathological features of the vessel wall can provide clinicians with further disease information. In this report, technical considerations of HRMRI are discussed, and current clinical applications of HRMRI are reviewed.

Background: Early prediction of unfavorable outcome after ischemic stroke is of great significance to the clinical and therapeutic management. A nomogram is a better visual tool than earlier models and prognostic scores to predict clinical outcomes, which incorporates different factors to develop a graphic continuous scoring system and calculates accurately the risk probability of poor outcome entirely based on individual characteristics. However, to date, no nomogram models have been found to predict the probability of 6-month poor outcome after ischemic stroke. We aimed to develop and validate a nomogram for individualized prediction of the probability of 6-month unfavorable outcome in Chinese patients with ischemic stroke. Methods: Based on the retrospective stroke registry, a single-center study which included 499 patients from May, 2013 to May, 2018 was conducted in Nanjing First Hospital (China) for ischemic stroke within 12 h of symptoms onset. The main outcome measure was 6-month unfavorable outcome (mRS > 2). To generate the nomogram, NIHSS score on admission, Age, previous Diabetes mellitus and crEatinine (NADE) were integrated into the model. We assessed the discriminative performance by using the area under the curve (AUC) of receiver-operating characteristic (ROC) and calibration of risk prediction model by using the Hosmer–Lemeshow test. Results: A visual NADE nomogram was constructed that NIHSS score on admission (OR: 1.190, 95%CI: 1.125–1.258), age (OR: 1.068, 95%CI: 1.045–1.090), previous diabetes mellitus (OR: 1.995, 95%CI: 1.236–3.221) and creatinine (OR: 1.010, 95%CI: 1.002–1.018) were found to be significant predictors of 6-month unfavorable outcome after acute ischemic stroke in Chinese patients. The AUC–ROC of nomogram was 0.791. Calibration was good (p = 0.4982 for the Hosmer–Lemeshow test). Conclusion: The NADE is the first nomogram developed and validated in Chinese ischemic stroke patients to provide an individual, visual and precise prediction of the risk probability of 6-month unfavorable outcome.

Cardiovascular disease (CVD) and ischemic stroke (IS) are the primary causes of mortality worldwide. Hypercholesterolemia has been recognized as an independent risk factor for CVD and IS. Numerous clinical trials have unequivocally demonstrated that reducing levels of low-density lipoprotein cholesterol (LDL-C) significantly mitigates the risk of both cardiac and cerebral vascular events, thereby enhancing patient prognosis. Consequently, LDL-C reduction remains a pivotal therapeutic strategy for CVD and IS. However, despite intensive statin therapy, a significant proportion of high-risk hypercholesterolemic patients fail to achieve sufficient reductions in LDL-C levels. In response to this challenge, an inhibitor targeting proprotein convertase subtilisin-kexin type 9 (PCSK9) has been developed as a therapeutic intervention for hyperlipidemia. Numerous randomized controlled trials (RCTs) have conclusively demonstrated that the combination of PCSK9 inhibitors and statins significantly enhances prognosis not only in patients with CVD, but also in those afflicted with symptomatic intracranial artery stenosis (sICAS). PCSK9 inhibitors significantly reduce LDL-C levels by binding to the PCSK9 molecule and preventing its interaction with LDLRs. This prevents degradation of the receptor and increases uptake of LDL-C, thereby decreasing its concentration in blood. Besides significantly reducing LDL-C levels, PCSK9 inhibitors also demonstrate anti-inflammatory and anti-atherosclerotic properties while promoting plaque stabilization and inhibiting platelet aggregation and thrombosis. This article aims to provide a comprehensive review based on the relevant literature regarding the evolving understanding of pleiotropic effects associated with PCSK9 inhibitors, particularly focusing on their impact on the cardiovascular system and central nervous system.

Background: Blood pressure (BP) excursion on admission was common in patients with acute ischemic stroke, but its influence on thrombolysis effect was not fully evaluated. Methods: Patients with acute ischemic stroke who received thrombolysis without subsequent thrombectomy were included. Admission BP excursion was defined as higher than 185/110 mmHg. Multivariate logistic regression analysis was used to evaluate the relationship between admission BP excursion and poor outcome as well as hemorrhage rates and mortality. Poor outcome was defined as a 90-day modified Rankin Scale score 3–6. Subgroup analysis was performed according to stroke severity, which was assessed by the National Institutes of Health Stroke Scale (NIHSS) score, and hypertension status. Results: A total of 633 patients were enrolled and 240 participants (37.9%) had admission BP excursion. Admission BP excursion was associated with poor outcome [adjusted odds ratio (OR) 0.64, 95% confidence interval 0.42–0.99, P = 0.046]. No significant difference was found regarding hemorrhage rates or mortality between patients with and without admission BP excursion. In subgroup analysis, admission BP excursion was related to poor outcome in patients with NIHSS score at least 7 (adjusted OR 1.89, 95% confidence interval 1.03–3.45, P = 0.038), but not in patients with NIHSS score less than 7 (P for interaction <0.001). Conclusion: Admission BP excursion above the guideline thresholds did not increase postthrombolysis hemorrhage risk or mortality, but was associated with poor outcome, especially in patients with severe stroke.

Background: Mechanical thrombectomy has been widely performed for large vessel occlusion stroke. The present study aimed to determine whether cumulative experience could improve thrombectomy outcomes. Methods: In this retrospective single-center analysis, patients who underwent mechanical thrombectomy with the Solitaire stent in 3 years from 25 April 2015 were enrolled in the current study. Patients’ characteristics, durations of admission and treatment, recanalization rates, clinical outcomes, and hemorrhage transformation rates were compared among the 3 years. Logistic analysis was used to analyze the independent correlation of the years and procedural outcomes. Results: A total of 222 patients underwent mechanical thrombectomy in the 3 years: 50 in the first year, 68 in the second year, and 104 in the third year. Door-to-puncture time (P < 0.001) and puncture-to-recanalization time (P = 0.033) decreased significantly among the 3 years, while successful recanalization rates increased (P = 0.001). Logistic regression analysis showed an independent increase in the successful recanalization rates in the second year and third year (P = 0.020, P = 0.001) as compared to that in the first year. Conclusions: Cumulative experience might improve the procedures of mechanical thrombectomy. The current findings suggested a potential benefit for centralization in the treatment of large vessel occlusion stroke.