Peripheral Artery Disease

ShenLingBaiZhu powder ameliorates obesity and atherosclerosis by inhibiting inflammation and apoptosis through the suppression of the TLR4/NF-κB pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: ShenLingBaiZhu Powder (SLBZP) is a renowned traditional Chinese medicinal formula that has been historically and clinically applied for managing obesity (OB) and atherosclerosis (AS). Nevertheless, its precise molecular mechanisms remain to be fully elucidated. AIM OF THE STUDY: To systematically clarify the material basis and multi-target mechanisms of SLBZP agains...

Multimodal imaging of acquired aortic diseases: clinical efficacy, comparative analysis, and future perspectives.

Aortic diseases, particularly acute aortic syndromes (AAS) and aortic aneurysms (AA), represent critical cardiovascular conditions with high mortality rates requiring precise imaging for diagnosis and management. This review provides a comprehensive analysis of current imaging diagnostic techniques, focusing specifically on acquired thoracic and abdominal aortic pathologies. We first evaluate the ...

Coronary atherosclerosis on AI-based plaque analysis in patients with chest pain and calcium score zero.

Fibroblast-like cells accumulate late in human coronary atherosclerosis contributing to necrotic core formation.

AIMS: Proliferation of arterial smooth muscle cells (SMCs) and their modulation to alternative mesenchymal phenotypes is central to atherosclerotic le...

OCT-Derived Virtual Fractional Flow Reserve Associated With 1-Year Outcomes After PCI in ACS Patients.

BACKGROUND: Despite PCI, many acute coronary syndrome (ACS) patients experience major adverse cardiovascular events (MACE). Angiography is limited, an...

Machine learning and SHAP values for predicting coronary artery disease risk in Xinjiang, China.

BACKGROUND: Accurate individual risk assessment is crucial for guiding and improving the prevention of atherosclerotic cardiovascular disease (ASCVD)....

Accelerated brain aging in amyotrophic lateral sclerosis and its prognostic associations: a cohort study.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, appearing to be associated with accelerated brain aging. Althoug...

Imaging and Quantification of Perivascular Adipose Tissue.

Perivascular adipose tissue (PVAT) is a metabolically active tissue that influences vascular function through paracrine signaling of adipokines. Patho...

Artificial intelligence based retinal imaging for cardiovascular risk and statin guidance in retinal vein occlusion.

Initial diagnosis and management of acute ischemic stroke: recent update and future direction.

Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the emergency department. Traditional prehospital tools a...

Risk Factors and an Interpretable Machine Learning Model for Predicting Spinal Epidural Lipomatosis: A Multicenter Study.

STUDY DESIGN: A retrospective multicenter study. OBJECTIVE: To identify independent risk factors for spinal epidural lipomatosis (SEL) and to develop ...

Coronary artery calcium clinical utilization: An update.

Coronary artery disease (CAD) remains a leading cause of mortality and morbidity worldwide. Coronary artery calcification (CAC) is a well-established ...

Association between the platelet to white blood cell ratio and short term mortality in critically ill patients with atherosclerotic cardiovascular disease: A retrospective study and machine learning with external validation.

BACKGROUND: The platelet to white blood cell ratio (PWR) has shown prognostic value in many diseases. Yet its predictive utility for patients with ath...

Risk stratification using inflammatory and metabolic biomarkers: A multi-cohort predictive study of mortality in atherosclerotic cardiovascular disease.

BACKGROUND: The pathological process of atherosclerotic cardiovascular disease (ASCVD) involves complex interactions between metabolic dysregulation a...

Design and rationale of the WARRIOR ancillary study for coronary CT angiographic analysis.

BACKGROUND: Over 50% of women evaluated for suspected ischemia have no obstructive coronary artery disease (INOCA). Statins, angiotensin converting en...

Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning.

Precise localization of coronary arteries in Computed Tomography (CT) scans is critical from the perspective of medical assessment of various heart pa...

Inaccurate information regarding cardiovascular disease prevention enabled by generative artificial intelligence.

Inaccurate information regarding cardiovascular disease (CVD) prevention is prevalent on the internet and may influence medical decisions. Artificial ...

Performance of an automated Korotkoff sound BP monitor in cardiovascular patients.

OBJECTIVES: Accurate blood pressure measurement is essential for cardiovascular risk management, but conventional oscillometric devices are unreliable...

Combining network pharmacology, machine learning, molecular docking, molecular simulation dynamics and experimental validation to explore the mechanism of Zhenwu decoction in treating major depression through TNF-α pathways.

BACKGROUND: Major depressive disorder (MDD) is a severe psychophysiological condition characterized by cognitive decline, low energy, weight loss, ins...

Refining Sleep-Disordered Breathing Annotations Across Multiple Public Sleep Study Datasets.

Polysomnography annotations in Sleep Heart Health Study (SHHS), Osteoporotic Fractures in Men Study (MrOS), and Multi-Ethnic Study of Atherosclerosis ...