BACKGROUND: Laboratory findings have suggested that systemic and vascular inflammation can impair the antiatherogenic function of high-density lipoproteins (HDLs). However, evidence from population studies is sparse.
Statistical models to predict incident diabetes are often based on limited variables. Here we pursued two main goals: 1) investigate the relative performance of a machine learning method such as Random Forests (RF) for detecting incident diabetes in ...
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 1, 2025
BACKGROUND: The high-sensitivity C-reactive protein (Hs-CRP)-to-high-density lipoprotein cholesterol (HDL-C) ratio, which integrates insights into inflammation and lipid metabolism, serves as a comprehensive indicator. The association between this ra...
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...
European review for medical and pharmacological sciences
Jul 1, 2023
OBJECTIVE: Preeclampsia (PE) is a complex disease-causing multisystem damage. Many genes, environmental factors, and their interactions are involved in the development and progression of PE. The pathogenesis of PE is not fully understood, limiting th...
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...
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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