Dyslipidemia

Reticular pseudodrusen load is associated with an increased risk of stroke.

BACKGROUND/AIMS: Reticular pseudodrusen (RPD) are increasingly recognised as a distinct phenotype in the age-related macular degeneration (AMD) disease spectrum. This study investigates the association between RPD and cardiovascular outcomes, specifically myocardial infarction (MI) and stroke in the UK Biobank (UKBB). METHODS: Retrospective analysis of UKBB participants (n=2010). A validated deep ...

Developing machine learning models to improve cardiovascular risk prediction for people living with HIV.

BACKGROUND: As life expectancy rises for people with HIV, atherosclerotic cardiovascular disease (ASCVD) has become a major contributor to morbidity. Extant risk models understate this risk, stressing the need for better models for HIV patients. METHODS: We studied new ASCVD events using Veterans Health Administration data (baseline 2010-15 and follow-up through 2020). We built four machine learni...

A combi-elasto ultrasound based deep learning model on liver fibrosis staging for suspected MASLD/MASH patients.

OBJECTIVES: Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) weakened the ...

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 in...

Risk Factors for Cardiovascular Disease: Epidemiology, Screening, Prevention, and Therapeutic Interventions.

Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide, and the burden is particularly severe in low-income and ...

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 a...

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...

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...

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 ...

Machine Learning Analysis of Sex Differences in Cardiovascular-Kidney-Metabolic Risk Factors and Prognosis Among Patients With Moderate-to-Severe Coronary Artery Calcification: Prospective Cohort Study.

BACKGROUND: Patients with coronary artery calcification exhibit notable sex differences in clinical presentation, particularly concerning the role of ...

The Triglyceride Glucose-a Body Shape Index: A Novel Composite Index for Prediction of Periodontitis Risk.

INTRODUCTION AND AIM: Insulin resistance and obesity are significant metabolic risk factors for periodontitis. This study aimed to systematically inve...

Long-Term Exposure to PM2.5 Constituents and Coronary Heart Disease Risk in China.

BACKGROUND: In China, the associations between long-term fine particulate matter with aerodynamic diameter ≤2.5 μm (PM2.5) exposure and coronary heart...

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...

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...

Interactions between minimal amount of exercise and low-density lipoprotein cholesterol on incident dementia after stroke.

Cognitive impairment often follows stroke. Regular physical activity has been shown to be associated with reduced dementia risk, while the association...

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.

Feature Selection and Intelligent Classification of Dietary Nature Based on Tibetan Medicine Pharmacological Theory and Nutritional Components.

BACKGROUND: The cold, hot, and neutral natures are core concepts in Tibetan dietary therapy and guide traditional food classification and dietary use....

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...

[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...