AIMC Topic: Cholesterol, LDL
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Diet-induced weight loss and markers of endothelial dysfunction and inflammation in treated patients with type 2 diabetes.
Clinical nutrition ESPEN
Jul 25, 2016
BACKGROUND & AIMS: Overweight and obesity increase cardiovascular mortality in patients with type 2 diabetes (T2D). In a recent trial, however, diet-induced weight loss did not reduce the cardiovascular risk of patients with T2D, possibly due to the ...
A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.
American journal of human genetics
Jun 5, 2025
Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasured confounding factors. However, traditional MR's reliance on strong parametric assumptions can introduce bias if these are violated. We describe a ma...
Fibroblast growth factor 5: a novel biomarker for familial hypercholesterolaemia.
European heart journal
May 14, 2025
BACKGROUND AND AIMS: Identification of individuals affected by familial hypercholesterolaemia (FH) is suboptimal when genetic tests are unavailable. Relying only on low-density lipoprotein cholesterol (LDL-C) is challenging as it may not allow distin...
Prediction of low-density lipoprotein cholesterol levels using machine learning methods.
Laboratory medicine
Jul 3, 2024
OBJECTIVE: Low-density lipoprotein cholesterol (LDL-C) has been commonly calculated by equations, but their performance has not been entirely satisfactory. This study aimed to develop a more accurate LDL-C prediction model using machine learning meth...
Changes of plasma Rap1A levels in patients with in-stent restenosis after percutaneous coronary intervention and the underlying mechanisms.
Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
Nov 28, 2023
OBJECTIVES: Percutaneous coronary intervention (PCI) is one of the most important treatments for coronary artery disease (CAD). However, in-stent restenosis (ISR) after PCI is a serious complication without effective measures for prevention and treat...
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...
Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary.
Atherosclerosis
Oct 1, 2018
BACKGROUND AND AIMS: Familial hypercholesterolemia (FH) is one of the most frequent diseases with monogenic inheritance. Previous data indicated that the heterozygous form occurred in 1:250 people. Based on these reports, around 36,000-40,000 people ...
[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...
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