ArticleLipids in health and disease2025
Development and validation of a novel metabolic health-related nomogram to improve predictive performance of cardiovascular disease risk in patients with prediabetes.
Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A CVD Classification Model for Individuals With Obesity: Multi-Ethnic Validation Based on Multiple Metabolic Indicators.Obesity (Silver Spring, Md.) · 2026Article
- Association between triglyceride-glucose index combined with a body shape index and atherosclerotic cardiovascular disease risk varies by glycemic status: insights from the UK Biobank.Cardiovascular diabetology · 2025Article
- Association of triglyceride-glucose-related indices with all-cause and cause-specific mortality in individuals with prediabetesss.Cardiovascular diabetology · 2025Article
- Association of prediabetes and insulin resistance on prognosis of patients with moderate-to-severe coronary artery calcification: a prospective cohort study.Cardiovascular diabetology · 2025Article
- Effectiveness of Physical Activity-Led Workplace Health Promotion Interventions: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Bioinformatic Analysis of Apoptosis-Related Genes in Preeclampsia Using Public Transcriptomic and Single-Cell RNA Sequencing Datasets.Journal of inflammation research · 2025Article
- Development and Validation of a Nomogram for Predicting Carotid Atherosclerosis in Non-Obese Patients with Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
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10 authors.
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Abstract
objectiveThe prevalence of prediabetes among adults in the U.S. is three times higher than that of diabetes, highlighting a greater disease burden. Both diabetes and prediabetes have been demonstrated to be associated with an increased risk of cardiovascular disease (CVD). However, research has primarily focused on diabetes, with limited attention to CVD risk prediction in prediabetes. Emerging 13 metabolic health-related indicators have been proposed to optimize the predictive effect on CVD risk in patients with prediabetes. This study aimed to compare the predictive efficacy of these biomarkers and further develop a nomogram to improve predictive performance of the CVD risk in patients with prediabetes.
methodsAll eligible participants in the National Health and Nutrition Examination Survey (NHANES) 1999-2020 were enrolled in this study and randomly assigned to the development and validation cohorts in a ratio of 7:3. In the development cohort, the efficacy of 13 indicators used to predict the CVD risk was assessed by receiver operative characteristic (ROC) curves. Independent risk predictors identified by multivariate logistic regression were used to construct a nomogram, and internal and external validation were further implemented.
resultsThe ROC curve demonstrated that the triglyceride-glucose (TyG) index was an effective predictor of CVD risk [area under the curve (AUC) = 0.694] and exhibited the best predictive performance among the 13 metabolic health-related indices. Based on independent risk factors identified by multivariate logistic regression, the CVD risk nomogram [including age, gender, hypertension, TyG, stress hyperglycemia ratio (SHR), and neutrophil-to-lymphocyte ratio (NLR)] was successfully constructed and validated with good performance (AUCs/C-indexes > 0.70 for all).
conclusionThis study developed a reliable nomogram for predicting CVD risk in patients with prediabetes. The model demonstrated robust performance and offered a simple yet individualized approach for predicting the CVD risk in patients with prediabetes.
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