ArticleCardiovascular diabetology2024
Nonlinear relationship between untraditional lipid parameters and the risk of prediabetes: a large retrospective study based on Chinese adults.
Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed.
- Association of pre-pregnancy body mass index and first-trimester remnant cholesterol level with risk of large for gestational age.Journal of global health · 2026Article
- Association between lipid comprehensive index and carotid atherosclerosis: evidence from a large-scale ultrasound screening program.Internal and emergency medicine · 2026Article
- Association of non-conventional lipid-inflammatory parameters with incident hypertension risk: a prospective cohort study.Journal of global health · 2026Article
- Non-traditional lipid-inflammatory parameters estimate the risk of stroke in middle-aged and older Chinese adults: a nationwide prospective cohort study.Journal of advanced research · 2026Article
- Unveiling the BMI Risk Threshold for Osteoarthritis: Multi-Database Causal and Nonlinear Evidence.Diabetes, obesity & metabolism · 2026Article
- Association of remnant cholesterol with long-term outcomes in kidney transplant recipients: a retrospective cohort study.Lipids in health and disease · 2026Article
- Association Between Non-traditional Lipid Indices and Sarcopenia: Evidence from a Prospective Chinese Cohort Study.Current medical science · 2026Article
- Unraveling 'F' factor: towards a genetic-clinical framework for the musculoskeletal-heart crosstalk in metabolic aging.Cardiovascular diabetology · 2026Article
- Observational
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- Nonlinear associations of remnant cholesterol/high-density lipoprotein cholesterol ratio with the risk of metabolic-associated fatty liver disease: a cross-sectional study.BMC gastroenterology · 2026Article
- Association between non-traditional lipid-inflammatory parameters and incident diabetes: a national prospective cohort study.BMC endocrine disorders · 2026Article
- Diabetic Peripheral Arterial Disease Versus Thromboangiitis Obliterans: A Multidimensional Comparison of Clinical Phenotype, Biomarkers, and Outcomes.Diagnostics (Basel, Switzerland) · 2026Article
- Machine learning evaluation of the discriminative ability of Castelli Risk Index-I and other non-traditional lipid indices for sarcopenia: a cross-sectional study based on CHARLS.Lipids in health and disease · 2026Article
- Article
- Association of Nontraditional Lipid Parameters With Long-Term Prognosis of Acute Ischemic Stroke: A Principal Components Analysis.Journal of the American Heart Association · 2026Article
- Development and comparative evaluation of machine learning algorithms and Cox regression for predicting fasting plasma glucose-defined incident prediabetes: a longitudinal cohort study.Frontiers in endocrinology · 2026Article
- Association of the new TyG indicator-TyHGB with prediabetes and diabetes in middle-aged and elderly postmenopausal women: a longitudinal study.Frontiers in endocrinology · 2026Article
- Nontraditional lipid and lipid-inflammatory parameters for risk stratification of abnormal glucose metabolism: a cross-sectional study in Chinese adults.Frontiers in endocrinology · 2026Article
- Article
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8 authors.
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Abstract
backgroundAbnormal lipid metabolism poses a risk for prediabetes. However, research on lipid parameters used to predict the risk of prediabetes is scarce, and the significance of traditional and untraditional lipid parameters remains unexplored in prediabetes. This study aimed to comprehensively evaluate the association between 12 lipid parameters and prediabetes and their diagnostic value.
methodsThis cross-sectional study included data from 100,309 Chinese adults with normal baseline blood glucose levels. New onset of prediabetes was the outcome of concern. Untraditional lipid parameters were derived from traditional lipid parameters. Multivariate logistic regression and smooth curve fitting were used to examine the nonlinear relationship between lipid parameters and prediabetes. A two-piecewise linear regression model was used to identify the critical points of lipid parameters influencing the risk of prediabetes. The areas under the receiver operating characteristic curve estimated the predictive value of the lipid parameters.
resultsA total of 12,352 participants (12.31%) were newly diagnosed with prediabetes. Following adjustments for confounding covariables, high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol were negatively correlated with prediabetes risk. Conversely, total cholesterol, triglyceride (TG), lipoprotein combine index (LCI), atherogenic index of plasma (AIP), non-HDL-C, atherogenic coefficient, Castelli's index-I, remnant cholesterol (RC), and RC/HDL-C ratio displayed positive correlations. In younger adults, females, individuals with a family history of diabetes, and non-obese individuals, LCI, TG, and AIP exhibited higher predictive values for the onset of prediabetes compared to other lipid profiles.
conclusionNonlinear associations were observed between untraditional lipid parameters and the risk of prediabetes. The predictive value of untraditional lipid parameters for prediabetes surpassed that of traditional lipid parameters, with LCI emerging as the most effective predictor for prediabetes.
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