AIMC Topic: Triglycerides
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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.
Exploring the effect of the triglyceride-glucose index on bone metabolism in prepubertal children, a retrospective study: insights from traditional methods and machine-learning-based bone remodeling prediction.
PeerJ
Jan 1, 2025
BACKGROUND: Childhood obesity poses a significant risk to bone health, but the impact of insulin resistance (IR) on bone metabolism in prepubertal children, as assessed by the triglyceride-glucose (TyG) index, remains underexplored. Bone turnover mar...
Using machine learning to predict patients with polycystic ovary disease in Chinese women.
Taiwanese journal of obstetrics & gynecology
Jan 1, 2025
OBJECTIVE: With an estimated global frequency ranging from5 % to 21 %, polycystic ovary syndrome (PCOS) is one of the most prevalent hormonal disorders. There are many factors found to be related to PCOS. However, most of these researches used tradit...
Machine Learning Reveals the Contribution of Lipoproteins to Liver Triglyceride Content and Inflammation.
The Journal of clinical endocrinology and metabolism
Dec 18, 2024
CONTEXT: Metabolic dysfunction-associated steatotic liver disease (MASLD) is currently the most common chronic liver disease worldwide and is strongly associated with metabolic comorbidities, including dyslipidemia.
Biomarker signatures associated with ageing free of major chronic diseases: results from a population-based sample of the EPIC-Potsdam cohort.
Age and ageing
May 11, 2024
BACKGROUND: A number of biomarkers denoting various pathophysiological pathways have been implicated in the aetiology and risk of age-related diseases. Hence, the combined impact of multiple biomarkers in relation to ageing free of major chronic dise...
Prospective Validation of a Machine Learning Model for Low-Density Lipoprotein Cholesterol Estimation.
Laboratory medicine
Nov 3, 2022
OBJECTIVE: We aim to prospectively validate a previously developed machine learning algorithm for low-density lipoprotein cholesterol (LDL-C) estimation.
Estimation of Low-Density Lipoprotein Cholesterol Concentration Using Machine Learning.
Laboratory medicine
Mar 7, 2022
OBJECTIVE: Low-density lipoprotein cholesterol (LDL-C) can be estimated using the Friedewald and Martin-Hopkins formulas. We developed LDL-C prediction models using multiple machine learning methods and investigated the validity of the new models alo...
[The gender features of disorders of composition of lipids of blood serum in patients with chronic pathology of kidneys.].
Klinicheskaia laboratornaia diagnostika
Jan 1, 2018
The purpose of the study was to investigate gender features of abnormalities of blood serum lipid composition and their relationship with clinical and functional manifestations in patients with chronic kidney disease (CKD). The study covered patients...
Supervised Machine Learning Algorithms for Evaluation of Solid Lipid Nanoparticles and Particle Size.
Combinatorial chemistry & high throughput screening
Jan 1, 2018
AIMS AND OBJECTIVES: Solid Lipid Nanoparticles (SLNs) are pharmaceutical delivery systems that have advantages such as controlled drug release, long-term stability etc. Particle Size (PS) is one of the important criteria of SLNs. These factors affect...
Metabolic acidosis of chronic kidney disease and subclinical cardiovascular disease markers: Friend or foe?
Medicine
Nov 1, 2017
The effect of chronic metabolic acidosis (MA) on cardiovascular disease (CVD) in the setting of chronic kidney disease (CKD) is largely unknown. Therefore, we aimed to study this relationship in nondialysis CKD patients.This cross-sectional, single-c...
Cardiovascular Diseases
Middle Aged
Logistic Models
Triglycerides
Renal Insufficiency, Chronic
Risk Factors
Humans
Acidosis
Glomerular Filtration Rate
Cholesterol
Bicarbonates
Aged
Prospective Studies
Ankle Brachial Index
Cross-Sectional Studies
Vascular Calcification
Biomarkers
Carotid Intima-Media Thickness
Male
Female
Phosphates
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