AIMC Topic: Triglycerides

Clear Filters Showing 1 to 10 of 63 articles

Association between atherogenic index of plasma and hypertension combined with diabetes mellitus in United States adults: an analysis of the NHANES surveys from 2011 to 2016.

Journal of health, population, and nutrition Jul 30, 2025
INTRODUCTION: Observational studies have indicated that individuals with hypertension (HTN) and diabetes mellitus (DM) tend to exhibit elevated plasma atherogenic index of plasma (AIP), defined as log (triglyceride [TG]/high-density lipoprotein chole...
Humans Female Risk Factors Aged United States Hypertension Diabetes Mellitus Atherosclerosis Cholesterol, HDL Triglycerides Adult Cross-Sectional Studies Male Middle Aged ROC Curve Nutrition Surveys
View on PubMed DOI

The value of triglyceride-glucose index-related indices in evaluating migraine: perspectives from multi-centre cross-sectional studies and machine learning models.

Lipids in health and disease Jul 3, 2025
BACKGROUND: This study employed representative data from the U.S. and China to delve into the correlation among migraine prevalence, the triglyceride‒glucose index, a marker of insulin resistance, and the composite indicator of obesity.
Waist Circumference Machine Learning Triglycerides Female Aged United States Adult Body Mass Index Cross-Sectional Studies Longitudinal Studies Male Obesity Middle Aged Migraine Disorders Humans China Blood Glucose Insulin Resistance Nutrition Surveys
View on PubMed DOI

Machine learning-based prediction of LDL cholesterol: performance evaluation and validation.

PeerJ Apr 9, 2025
OBJECTIVE: This study aimed to validate and optimize a machine learning algorithm for accurately predicting low-density lipoprotein cholesterol (LDL-C) levels, addressing limitations of traditional formulas, particularly in hypertriglyceridemia.
Middle Aged Humans Risk Assessment Machine Learning Cholesterol, LDL Algorithms Triglycerides Female Hypertriglyceridemia Aged Adult Male
View on PubMed DOI

Surrogate markers of insulin resistance and coronary artery disease in type 2 diabetes: U-shaped TyG association and insights from machine learning integration.

Lipids in health and disease Mar 15, 2025
BACKGROUND: Surrogate insulin resistance (IR) indices are simpler and more practical alternatives to insulin-based IR indicators for clinical use. This study explored the association between surrogate IR indices, including triglyceride-glucose index ...
Machine Learning Biomarkers Female Aged Male Middle Aged Humans Body Mass Index Blood Glucose Coronary Artery Disease ROC Curve Waist Circumference Diabetes Mellitus, Type 2 Cholesterol, HDL Insulin Resistance Triglycerides Logistic Models
View on PubMed DOI

Relationship between atherogenic index of plasma and length of stay in critically ill patients with atherosclerotic cardiovascular disease: a retrospective cohort study and predictive modeling based on machine learning.

Cardiovascular diabetology Feb 28, 2025
BACKGROUND: The atherogenic index of plasma (AIP) is considered an important marker of atherosclerosis and cardiovascular risk. However, its potential role in predicting length of stay (LOS), especially in patients with atherosclerotic cardiovascular...
Risk Factors Aged Male Middle Aged Risk Assessment Length of Stay Prognosis Retrospective Studies Critical Illness Intensive Care Units Female Time Factors Predictive Value of Tests Atherosclerosis Cholesterol, HDL Triglycerides Humans Machine Learning Decision Support Techniques Databases, Factual Biomarkers
View on PubMed DOI

Prediction of insulin resistance using multiple adaptive regression spline in Chinese women.

Endocrine journal Feb 1, 2025
Insulin resistance (IR) is the core for type 2 diabetes and metabolic syndrome. The homeostasis assessment model is a straightforward and practical tool for quantifying insulin resistance (HOMA-IR). Multiple adaptive regression spline (MARS) is a mac...
Blood Pressure Uric Acid Asian People Cholesterol, HDL Bilirubin Middle Aged Triglycerides Humans China Waist-Hip Ratio Machine Learning Blood Glucose Female Insulin Resistance Young Adult East Asian People Adult C-Reactive Protein
View on PubMed DOI

The triglyceride-glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with machine learning analysis.

Cardiovascular diabetology Jan 29, 2025
BACKGROUND: Hypertension (HTN) is a global public health concern and a major risk factor for cardiovascular disease (CVD) and mortality. Insulin resistance (IR) plays a crucial role in HTN-related metabolic dysfunction, but its assessment remains cha...
Machine Learning Biomarkers Prognosis Female Risk Factors Aged Adult Cross-Sectional Studies Male Middle Aged Risk Assessment Obesity Blood Glucose Humans Predictive Value of Tests Insulin Resistance Cause of Death Nutrition Surveys Waist Circumference United States Triglycerides Hypertension
View on PubMed DOI

Exploring the triglyceride-glucose index's role in depression and cognitive dysfunction: Evidence from NHANES with machine learning support.

Journal of affective disorders Jan 11, 2025
BACKGROUND: Depression and cognitive impairments are prevalent among older adults, with evidence suggesting potential links to obesity and lipid metabolism disturbances. This study investigates the relationships between the triglyceride-glucose (TyG)...
Triglycerides Machine Learning Cognitive Dysfunction Humans Female Blood Glucose Aged Nutrition Surveys Body Mass Index Male Obesity Middle Aged Mendelian Randomization Analysis Depression
View on PubMed DOI

Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study.

Clinical and experimental hypertension (New York, N.Y. : 1993) Jan 8, 2025
OBJECTIVES: Sufficient attention has not been given to machine learning (ML) models using longitudinal data for investigating important predictors of new onset of hypertension. We investigated the predictive ability of several ML models for the devel...
Body Mass Index Blood Pressure Japan Waist Circumference gamma-Glutamyltransferase Aged Triglycerides Adult Male Middle Aged ROC Curve Hypertension Humans Machine Learning Female Risk Factors
View on PubMed DOI

Exploring the prognostic impact of triglyceride-glucose index in critically ill patients with first-ever stroke: insights from traditional methods and machine learning-based mortality prediction.

Cardiovascular diabetology Dec 18, 2024
BACKGROUND: The incidence and mortality of first-ever strokes have risen sharply, especially in the intensive care unit (ICU). Emerging surrogate for insulin resistance, triglyceride-glucose index (TyG), has been linked to stroke prognosis. We aims t...
Reproducibility of Results Humans Predictive Value of Tests Machine Learning China Risk Factors Prognosis Databases, Factual Cause of Death Aged Retrospective Studies Length of Stay Stroke Biomarkers Critical Illness Blood Glucose Male Triglycerides Intensive Care Units Time Factors Middle Aged Female Hospital Mortality Risk Assessment
View on PubMed DOI
Popular Topics
Recent Journals