AIMC Topic: Cholesterol, HDL

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Machine learning for predicting metabolic-associated fatty liver disease including NHHR: a cross-sectional NHANES study.

PloS one Mar 18, 2025
OBJECTIVE: Metabolic - associated fatty liver disease (MAFLD) is a common hepatic disorder with increasing prevalence, and early detection remains inadequately achieved. This study aims to explore the relationship between the non-high-density lipopro...
Male Middle Aged Fatty Liver Nutrition Surveys Non-alcoholic Fatty Liver Disease Humans Machine Learning Female Adult Cross-Sectional Studies Cholesterol, HDL
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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 ...
Biomarkers Female Aged Male Middle Aged Humans Machine Learning Body Mass Index Coronary Artery Disease Waist Circumference Cholesterol, HDL Triglycerides Blood Glucose ROC Curve Diabetes Mellitus, Type 2 Insulin Resistance Logistic Models
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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...
Atherosclerosis Cholesterol, HDL Triglycerides Intensive Care Units Female Risk Factors Databases, Factual Aged Biomarkers Middle Aged Male Prognosis Risk Assessment Retrospective Studies Humans Length of Stay Critical Illness Machine Learning Time Factors Decision Support Techniques Predictive Value of Tests
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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...
Uric Acid Humans Asian People Machine Learning Waist-Hip Ratio Insulin Resistance Cholesterol, HDL Young Adult Female East Asian People Bilirubin Adult C-Reactive Protein Triglycerides Middle Aged Blood Pressure China Blood Glucose
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A machine learning analysis of predictors of future hypertension in a young population.

Minerva cardiology and angiology May 27, 2024
BACKGROUND: Early diagnosis of hypertension (HT) is crucial for preventing end-organ damage. This study aims to identify the risk factors for future HT in young individuals through the application of machine learning (ML) models.
Blood Pressure Cholesterol, HDL Early Diagnosis Triglycerides Blood Pressure Monitoring, Ambulatory Humans Hypertension Machine Learning Follow-Up Studies Female Age Factors Risk Factors Young Adult Predictive Value of Tests Adult Male Adolescent Logistic Models
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Estimation of low-density lipoprotein cholesterol levels using machine learning.

International journal of cardiology Jan 20, 2022
BACKGROUND: Low-density lipoprotein-cholesterol (LDL-C) is used as a threshold and target for treating dyslipidemia. Although the Friedewald equation is widely used to estimate LDL-C, it has been known to be inaccurate in the case of high triglycerid...
Triglycerides Machine Learning Algorithms Cholesterol, LDL Cholesterol, HDL Dyslipidemias Humans
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Risk stratification of ST-segment elevation myocardial infarction (STEMI) patients using machine learning based on lipid profiles.

Lipids in health and disease May 6, 2021
BACKGROUND: Numerous studies have revealed the relationship between lipid expression and increased cardiovascular risk in ST-segment elevation myocardial infarction (STEMI) patients. Nevertheless, few investigations have focused on the risk stratific...
Kaplan-Meier Estimate Apolipoprotein B-100 Lipoprotein(a) Principal Component Analysis ST Elevation Myocardial Infarction Apolipoprotein A-I Percutaneous Coronary Intervention Cholesterol, LDL Aged Lipid Metabolism Humans Male Patient Selection Prognosis Middle Aged Patient Readmission Female Risk Assessment Cholesterol, HDL Unsupervised Machine Learning Triglycerides
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Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation.

PloS one Sep 30, 2020
BACKGROUND: Low-density lipoprotein cholesterol (LDL-C) is a target for cardiovascular prevention. Contemporary equations for LDL-C estimation have limited accuracy in certain scenarios (high triglycerides [TG], very low LDL-C).
Machine Learning Female Aged Adult Male Middle Aged Data Interpretation, Statistical Cholesterol, LDL Hyperlipidemias Cholesterol, HDL Humans Triglycerides
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Leisure time physical activity is associated with improved HDL functionality in high cardiovascular risk individuals: a cohort study.

European journal of preventive cardiology Jun 2, 2020
AIMS: Physical activity has consistently been shown to improve cardiovascular health and high-density lipoprotein-cholesterol levels. However, only small and heterogeneous studies have investigated the effect of exercise on high-density lipoprotein f...
Cholesterol, HDL Exercise Heart Disease Risk Factors Humans Leisure Activities Risk Factors Cohort Studies Diabetes Mellitus, Type 2 Adult Cholesterol Ester Transfer Proteins Cardiovascular Diseases
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Disability in multiple sclerosis is associated with age and inflammatory, metabolic and oxidative/nitrosative stress biomarkers: results of multivariate and machine learning procedures.

Metabolic brain disease Jul 13, 2019
The aim of this study was to evaluate the immune-inflammatory, metabolic, and nitro-oxidative stress (IM&NO) biomarkers as predictors of disability in multiple sclerosis (MS) patients. A total of 122 patients with MS were included; their disability w...
Homocysteine Multiple Sclerosis Cholesterol, HDL Nitrosative Stress Body Mass Index Adult Age Factors Male Disability Evaluation Middle Aged Uric Acid Oxidative Stress Humans Inflammation Machine Learning Biomarkers Female
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