Atherosclerosis

Predictive value of the uric acid to high-density cholesterol ratio (UHR) combined with intact parathyroid hormone for protein-energy wasting after incident hemodialysis: a multicenter study.

Protein-energy wasting (PEW) is common in incident hemodialysis patients and linked to poor outcomes. The uric acid/HDL-cholesterol ratio (UHR) and intact parathyroid hormone (iPTH) relate to metabolic, inflammatory, and nutritional disturbances, but their value for predicting PEW in incident hemodialysis is unclear. This retrospective multicenter study included 863 incident hemodialysis patients....

Low vitamin D status and cardiometabolic trait clustering in a primary-care adult cohort: association analysis and exploratory explainable machine-learning classification.

BACKGROUND: Low serum 25-hydroxyvitamin D (25(OH)D) commonly co-exists with obesity and adverse cardiometabolic traits. However, its cross-sectional association with dyslipidaemia, body composition and glycaemic markers in primary-care adults remains incompletely characterised. This study examined these associations as the primary objective and, as a secondary exploratory objective, assessed wheth...

The Spanish Atherosclerosis Society Dyslipidaemia Registry: Evolution, real-world evidence, and its role in precision medicine. Current status in 2026.

INTRODUCTION: The National Dyslipidemia Registry of the Spanish Atherosclerosis Society (SEA) represents a major source of real-world evidence on lipi...

A novel dynamic Optuna hybrid Harris Hawks Optimization approach for classification of CAD.

Coronary Artery Disease (CAD) is a leading cause of mortality worldwide and is primarily associated with atherosclerotic plaque formation, resulting i...

PatchGAN-guided semi-supervised U-Net for carotid plaque segmentation in ultrasound under limited annotation conditions.

OBJECTIVE: Artificial intelligence models are increasingly used for stroke risk evaluation and clinical decision-making. However, the scarcity of expe...

Incremental prognostic value of AI-based coronary CT angiography combined with PET/CT dynamic myocardial perfusion imaging in patients with suspected or confirmed coronary artery disease.

BACKGROUND: Coronary computed tomography angiography (CCTA) and positron emission tomography/computed tomography (PET/CT) myocardial perfusion imaging...

Bioinformatics identification of candidate biomarkers associated with T cell proliferation in atherosclerosis via WGCNA and machine learning.

BACKGROUND: Atherosclerosis (AS) is a complex chronic disease caused by the development of atherosclerotic plaques. T cell proliferation exerts a vita...

Aging-driven transcriptional programs in diabetic kidney disease: multi-omics discovery of diagnostic biomarkers and drug-repurposing targets.

BACKGROUND: Diabetic kidney disease (DKD) is the primary global cause of end-stage renal disease. However, the aging-related gene networks driving its...

Automated deep learning-based arousal detection complies with ten expert scorers in unseen data.

STUDY OBJECTIVES: Automatic arousal scoring is essential for the cost-effective analysis of polysomnograms. Many previous automatic methods have been ...

Patient and physician perspectives on large language model generated responses about brain aneurysm.

PURPOSE: Large language models (LLMs) are becoming increasingly popular in medicine and neurosurgery. Because LLMs are not trained in specific subspec...

Machine Learning-Based Early Risk Stratification for Sepsis-Related Troponin-Defined Myocardial Injury Using Routine Metabolic Indicators.

BACKGROUND: Early recognition of sepsis-related myocardial injury during sepsis remains difficult, partly because harmonized echocardiographic phenoty...

Quantitative Relationship Between White Matter Hyperintensity Volume and Fazekas Score on Brain MRI.

BACKGROUND: The Fazekas score is widely used to grade white matter hyperintensities (WMHs) in cerebral small vessel disease, yet the equivalent volume...

Development and Validation of a Simplified Martin-Hopkins LDL-C Equation Using Machine Learning.

IMPORTANCE: Although the Martin-Hopkins equation is widely validated and used to estimate low-density lipoprotein cholesterol (LDL-C) for clinical car...

Single-Cell and Bulk RNA Sequencing Reveal MCL1 as a Key Regulator of Mitochondrial Function in Liver Ischemia-Reperfusion Injury.

Liver ischemia-reperfusion injury (LIRI), a significant complication following liver transplantation and surgical procedures, remains inadequately add...

Correction to: A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age: development and validation in the UK-biobank and multi-ethnic study of atherosclerosis.

Transformer-DAPT: AI-based dynamic assessment of ischemic and bleeding risks in patients on DAPT following PCI.

Dual antiplatelet therapy (DAPT) following percutaneous coronary intervention (PCI) is traditionally guided by rule-based scores providing static, sin...

Proposal of a familial hypercholesterolemia paediatric diagnostic score (FH-PeDS).

AIMS: Familial hypercholesterolemia (FH) significantly increases cardiovascular risk from childhood yet remains widely underdiagnosed. This cross-sect...

Comparative Evaluation of Locally Delivered Aloe vera Gel as an Adjunct to Scaling and Root Planing in Patients With Periodontitis: A Randomized Clinical Trial.

BACKGROUND: Herbal adjuncts have gained increasing interest in nonsurgical periodontal therapy because of their anti-inflammatory, antimicrobial, and ...

Transforming Pulmonary Arterial Hypertension: Key Milestones and Future Perspectives.

Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary arteries, characterized by fibroproliferative vascu...

[Computed tomography in cardiology: its necessity and developments].

Cardiac computed tomography angiography (CCTA) has evolved in recent years into a central pillar of non-invasive cardiovascular diagnostics and is now...