Dyslipidemia

Association of blood urea nitrogen to high-density lipoprotein ratio with all-cause and cardiovascular mortality in individuals with mildly reduced eGFR.

BACKGROUND: Patients with mild-to-moderate renal impairment face elevated cardiovascular risk, yet early detection tools remain limited. The Cardiovascular-Kidney-Metabolism (CKM) interplay underscores the need for integrated biomarkers. The Blood Urea Nitrogen (BUN) to High-Density Lipoprotein (HDL) cholesterol ratio (BUN/HDL) was therefore evaluated for early risk stratification. METHODS: This c...

Improving 10-year cardiovascular disease risk prediction using automated machine learning.

AIMS: To develop a cardiovascular disease (CVD) risk prediction model with improved accuracy and interpretability by integrating diverse risk factors and applying Automated Machine Learning (AutoML), thereby enhancing clinical utility over conventional models. METHODS: This is a prospective cohort study. Data were obtained from the Multi-Ethnic Study of Atherosclerosis (MESA), including baseline a...

Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes.

INTRODUCTION AND OBJECTIVES: Steatotic liver disease (SLD) is a leading cause of liver disease worldwide. Itsstratified into metabolic dysfunction-ass...

Altered dynamic functional connectivity of the language network associated with electronegative L5 in patients with mild cognitive impairment.

Language impairment is increasingly recognized as an early marker of neurodegeneration in mild cognitive impairment (MCI). L5, an electronegative subf...

The tire antioxidant derivative 6PPD-quinone exacerbates IBD by targeting NR1H4-mediated lipid metabolism and mitochondrial dysfunction in human colon epithelial cells.

N- (1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPD-Q), a tire rubber antioxidant derivative, accumulates in air, soil, and water and ha...

Unsupervised machine learning with Cluster Analysis in patients with rheumatoid arthritis: insights in CV risk phenotypes from a multicentre Italian cohort.

Rheumatoid arthritis (RA) patients face increased cardiovascular (CV) risk, yet existing 10-year estimation tools often underperform. This study evalu...

Combined predictive value of TyG index and PLR for mental health in Chinese adults: A machine learning approach.

OBJECTIVE: To investigate the independent and combined associations of the triglyceride-glucose (TyG) index and platelet-to-lymphocyte ratio (PLR) wit...

Lipoprotein(a) and the C-reactive protein-triglyceride-glucose index in relation to coronary lesion burden in patients with acute coronary syndrome.

BACKGROUND: Lipoprotein(a) [Lp(a)] reflects inherited atherothrombotic risk, whereas the C-reactive protein-triglyceride-glucose index (CTI) integrate...

[Artificial intelligence in cardiovascular prevention: a strategic opportunity for risk prediction and early diagnosis].

Cardiovascular diseases remain the leading cause of mortality and morbidity worldwide, with substantial impact in Italy. Cardiovascular prevention is ...

[Breast arterial calcifications and cardiovascular risk in women].

Cardiovascular (CV) diseases remain the leading cause of mortality in women and often present as the first clinical manifestation, highlighting the li...

Development of a Prognostic Survival Risk Score for Lung Cancer Patients With Type 2 Diabetes Mellitus: A Territory-Wide Retrospective Cohort Study.

BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often affected by comorbidities such as type 2 diabetes m...

Takotsubo syndrome diagnosis: the biomarker-based BioTAK score.

BACKGROUND AND AIMS: Takotsubo syndrome (TTS) closely mimics acute coronary syndrome (ACS). Early differentiation remains challenging because diagnosi...

Clinical and Metabolomic Panel for Noninvasive Screening of Biopsy-Confirmed MASH in Children and Adolescents.

BACKGROUND & AIMS: Noninvasive tests to identify pediatric metabolic dysfunction-associated steatohepatitis (MASH) remain a critical need. We aimed to...

Pooled two-cohort MRI body composition phenotyping with open-source deep learning.

BACKGROUND: Body mass index fails to capture variation in fat and muscle distribution that determines metabolic health and disease risk. MRI enables r...

Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy.

BACKGROUND: The triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride glucose-body mass (TyG-BMI) index are reliable ...

Ligustilide and tectoridin from Danggui Buxue Decoction synergistically attenuate atherosclerosis by targeting the CD36/TRPM2 axis and TNF-α/NF-κB pathway.

BACKGROUND: Atherosclerosis (AS) is a common chronic disease and the primary pathological basis for myocardial infarction, stroke, and other disabling...

Non-calcified plaque volume assessed by coronary computed tomographic angiography: prognostic significance, reproducibility, and temporal progression.

AIMS: Coronary artery disease remains the leading cause of cardiovascular mortality worldwide, with a substantial proportion of acute coronary events ...

Trends and hotspots in artificial intelligence applications for atherosclerosis research: A bibliometric analysis.

BACKGROUND: Atherosclerosis (AS) is a complex systemic, immune-inflammatory vascular disease, and there is an urgent need to innovate its diagnostic a...

Artificial intelligence for risk prediction in atherosclerotic cardiovascular disease: A narrative review of advances, validation challenges, and clinical translation (2020-2026).

Since 2020, artificial intelligence (AI) has been increasingly applied to atherosclerotic cardiovascular disease (ASCVD) risk prediction. This structu...

The metabolic-inflammatory axis in chronic heart failure: integrating the NLR and TyG index for recent-onset atrial fibrillation prediction via machine learning and mediation analysis.

INTRODUCTION: Recent-onset atrial fibrillation (AF) is a common complication of chronic heart failure (CHF), potentially involving both inflammatory a...