Dyslipidemia

Combined effects of cumulative triglyceride-glucose and blood pressure on stroke in middle-aged and older Chinese adults: a longitudinal analysis.

BACKGROUND: The triglyceride-glucose (TyG) index has increasingly been recognised an indicator for stroke risk. We aimed to explore the relationship between TyG and blood pressure (BP) and the combined effects of cumulative TyG (CumTyG) and cumulative BP (CumBP) on stroke risk in a cohort of Chinese middle-aged and older adults. METHODS: We enrolled 5138 participants from the 2011-2018 waves of th...

Uric Acid to HDL-C Ratio as a Novel Biomarker for Sarcopenia: A National Study with Machine Learning Insights.

BACKGROUND: Sarcopenia is a major age-related health burden. Although the uric acid to high-density lipoprotein cholesterol ratio (UHR) has been linked to sarcopenia, the underlying pathways and its clinical utility for risk stratification remain unclear. METHODS: We analyzed 9,853 middle-aged and older adults from the China Health and Retirement Longitudinal Study (CHARLS). Sarcopenia was defined...

Predicting intracranial angioplasty failure using vessel wall MRI habitat radiomics and deep learning: a multicenter study.

BACKGROUND: Primary balloon angioplasty (PBA) is a promising strategy for symptomatic intracranial atherosclerotic stenosis but carries the risk of pr...

Estimated glucose disposal rate and triglyceride-glucose index jointly predict mortality in advanced cardiovascular-kidney-metabolic syndrome.

OBJECTIVE: Advanced cardiovascular-kidney-metabolic (CKM) syndrome carries substantial mortality risk, yet the independent and joint prognostic roles ...

Machine Learning for Cardiovascular Prevention Prescriptions: Real-World vs. Synthetic Data.

Cardiovascular diseases remain the leading cause of death worldwide, primarily driven by atherosclerosis, which is targeted by lipid-lowering agents s...

Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records.

Prediabetes (PD), a reversible metabolic condition that precedes type 2 diabetes (T2DM), carries a high risk of progression to T2DM, but can be effect...

Targeting metabolic dysregulation in postmenopausal breast cancer: Synergistic effects of nutrition-based interventions and exercise on molecular and cellular pathways.

Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which ma...

NATURal history of coronary PlaquE on cardiac computed tomography in individuals without MACE or lipid-lowering therapy: NATURE-CTstudy.

BACKGROUND: Coronary artery disease (CAD) progression has been examined mainly in cohorts enriched for major adverse cardiovascular events (MACE), a h...

Machine learning evaluation of TyG-based metrics for arteriosclerosis progression.

Insulin resistance (IR) is a significant risk factor for arteriosclerosis. The triglyceride-glucose (TyG) index and its obesity-related derivatives (T...

Immune Checkpoint Inhibitor-Associated Cardiovascular Toxicity: Mechanisms, Clinical Manifestations, and Clinical Impact.

Immune checkpoint inhibitors (ICIs) represent a class of novel anticancer agents that enhance T cell-mediated recognition and elimination of tumor cel...

Integrated metabolic and inflammatory biomarkers for early association and prediction of adverse pregnancy outcomes: a multicenter validation study.

BACKGROUND: Adverse pregnancy outcomes (APOs) affect long-term maternal and offspring health. Conventional metabolic markers, including the triglyceri...

Alignment Between Cardiologists and AI-Driven Diagnostic Systems: Mixed Methods Study.

BACKGROUND: The clinical value of artificial intelligence (AI)-based diagnostic systems depends not only on their accuracy but also on how well their ...

Cascade-amplified 2D ultrathin hexagonal Cu-doped LDO nanozyme for multiplexed wearable monitoring of sweat metabolites.

Sweat-based metabolic monitoring offers a non-invasive alternative to blood tests, but its clinical utility is limited by the limited catalytic effici...

SLA and DDX60L as potential diagnostic biomarkers for subclinical atherosclerosis in systemic lupus erythematosus: a transcriptomic and clinical validation study.

BACKGROUND: Systemic lupus erythematosus (SLE) patients face a 5-tenfold increased risk of atherosclerosis (AS), with subclinical lesions often progre...

Machine Learning Prediction Model for Dyslipidemia and Its Association With Atherothrombotic Events in 3 Independent Cohorts From South Korea, Japan, and the United Kingdom: Algorithm Development and Validation Study.

BACKGROUND: Dyslipidemia is a multifactorial and complex condition that warrants investigation through advanced analytical approaches such as machine ...

Predicting metabolic syndrome in Iranian adults using artificial neural networks: a comparative analysis with logistic regression based on demographic, lifestyle, and clinical indicators.

OBJECTIVE: Metabolic syndrome (MetS) is a major risk factor for cardiovascular diseases and type 2 diabetes, imposing a substantial economic and publi...

Network pharmacology and bioinformatics study of Shuangjiang decoction and labetalol hydrochloride in the treatment of preeclampsia in pregnancy.

Preeclampsia (PE) remains a leading cause of maternal and perinatal mortality worldwide, and the combined use of Shuangjiang Decoction with Labetalol ...

Unraveling Atherosclerosis through Multi-omics: Systematic Insights into the Unique Applications and Clinical Perspectives.

PURPOSE OF REVIEW: Atherosclerosis (AS) is a progressive disease of the arterial wall characterized by metabolic dysregulation, inflammatory activatio...

Comparative prognostic value of TyG index and TyG-BMI for 90-day all-cause mortality in critically ill older adults with ASCVD: a machine learning analysis of the MIMIC-IV database.

BACKGROUND: The triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) are emerging surrogate markers of insulin resistan...

CXCL16 promotes macrophage-driven inflammation and vascular smooth muscle cell phenotypic switching during carotid plaque destabilization.

BACKGROUND: Carotid plaque instability is a major determinant of ischemic stroke and is characterized by heightened inflammation and structural remode...