Strokes

Sedation in Acute Ischemic Stroke: Pathophysiological Basis and Evidence for Commonly Used Agents.

Sedation is frequently required in the acute management of ischemic stroke (AIS), yet its potential to influence secondary brain injury and systemic complications remains insufficiently integrated into clinical practice. This narrative review examines experimental and clinical evidence on the biological effects of commonly used sedatives in neurocritical care, propofol, dexmedetomidine, and ketami...

Refined AI-ASPECTS with modified atlas and lesion-load thresholds: advancing acute ischemic stroke imaging and prognostic prediction.

BACKGROUND: The artificial intelligence-assisted ASPECTS (AI-ASPECTS) system has become an increasingly common tool in clinical practice for assessing acute ischemic stroke (AIS). However, current AI-ASPECTS implementations still rely on the conventional expert-evaluation framework, which uses a simplified two-slice atlas and arbitrarily selected lesion-load thresholds. Our study aimed to develop ...

Retinal imaging for cerebrovascular risk stratification: evidence, limitations, and practical thresholds for the ophthalmologist.

BACKGROUND: The retina shares developmental origin, microvascular anatomy, and barrier physiology with the brain, making non-invasive retinal imaging ...

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PURPOSE: We aimed to develop a machine learning model to predict activities of daily living (ADL) at discharge in stroke patients and identify key pre...

Dual-mode analysis of ischemic stroke based on urine SERS spectra and carotid B-ultrasound.

Achieving noninvasive high-frequency monitoring of ischemic stroke (IS) remains a major clinical challenge for timely intervention and precise seconda...

Targeting SLK protects against cerebral ischemia-reperfusion injury by regulating USP8-mediated HIF-1α stabilization and RhoA/ROCK activation.

INTRODUCTION: Acute ischemic stroke (AIS) represents a major global contributor to mortality and chronic disability, with few effective therapeutic ta...

Identification of ischemic stroke risk in patients with left ventricular non-compaction using echocardiography, deep learning, and radiomics.

BACKGROUND: There is a certain correlation between left ventricular non-compaction (LVNC) and ischemic stroke (IS); however, there are currently no pr...

Development and Validation of Machine Learning Models to Optimize Imaging and Referrals for Dizziness in the Emergency Department.

BACKGROUND: Dizziness and vertigo are common emergency department (ED) presentations, but only 2%-5% receive a serious diagnosis, such as stroke or tr...

Post-stroke rehabilitation in inflammatory rheumatic diseases: outcome measures, digital tools, and patient education perspectives.

Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular events, independent of traditional cardiovascular risk ...

Screening and Evaluation of Post-stroke Dysphagia: Insights from Neurology, Artificial Intelligence and Data Science-A Scoping Review.

Post-stroke dysphagia (PSD) affects approximately 42% of acute stroke patients, increasing hospitalization costs and length of stay. Early identificat...

End-to-End Autonomous Quantification of Brain Aneurysm and Parent Artery Morphology at CT Angiography.

Purpose To develop and validate an end-to-end autonomous platform for the quantification and visualization of brain aneurysm and parent artery morphol...

Inpatient Robotic Therapy for Stroke Survivors With Severe Upper Limb Impairments: A Randomized Controlled Trial.

IMPORTANCE: Understanding how upper extremity (UE) robotic therapy (RT) affects efficiency and effectiveness of inpatient rehabilitation is important ...

Time-dependent predictive contribution of the triglyceride-glucose index for incident cardiovascular disease in a 9-year Chinese cohort.

This study aims to investigate the association between triglyceride-glucose (TyG) index and risk of CVD using explainable survival analysis method bas...

Approaches to transcatheter aortic valve replacement failure: is more focus on prevention required?

INTRODUCTION: Transcatheter aortic valve replacement (TAVR) has transformed the management of severe aortic stenosis across all surgical risk strata. ...

Single-Cell Transcriptomics and Mendelian Randomization Analysis Reveal Key Genes in Atrial Fibrillation.

BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiac arrhythmias. It reduces quality of life and increases the risk of complications...

Deep Neural Networks for Automatic Atrial Fibrillation Detection Using Long-Term Ambulatory Electrocardiography: Retrospective Diagnostic Accuracy Study.

BACKGROUND: Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, affects 2% to 4% of the global adult population and is associated with an...

Postoperative cerebral infarction after major thoracic and abdominopelvic surgery: a retrospective single-centre cohort study of incidence, risk factors, and outcomes.

BACKGROUND: Postoperative cerebral infarction (POCI) is an uncommon but potentially fatal complication of major non-cardiac surgery and is associated ...

Secondary prevention of recurrent ischemic stroke: from guidelines to precision medicine.

Recurrent ischemic stroke remains a major global health challenge, accounting for substantial disability and mortality despite advances in acute manag...

Statin adherence among patients with hypertension in Swedish primary health care: a QregPV cohort study using explainable machine learning.

AIMS: Evidence regarding statin adherence among patients with hypertension in primary care is limited. We assessed statin adherence in Swedish primary...

Proteomic signatures as biomarkers of atherosclerosis burden.

AIMS: Atherosclerosis is currently evaluated by imaging, but scalable circulating biomarkers to detect its presence and quantify overall burden are la...