Key result
A nomogram incorporating age, hypertension, diabetes, METS-VF, serum creatinine, and BUN achieved an AUC of 0.799 in internal validation and 0.821 in external validation for classifying prevalent CVD.
Observational
Yes
A novel nomogram incorporating metabolic indicators accurately classifies prevalent cardiovascular disease in individuals with obesity.
Objective The global rise in obesity, a major risk factor for cardiovascular disease ( CVD ), contributes substantially to the disease burden. We developed and validated a model optimized for classifying prevalent CVD in individuals with obesity. Methods In the training cohort, risk factors were screened by univariate and LASSO regression and then incorporated into a multivariate logistic model to establish the classifier. Based on this model, a nomogram was constructed. The area under the curve ( AUC ), calibration curve, and decision curve analysis ( DCA ) were used to evaluate model performance. Sensitivity was analyzed using a unified BMI standard in the Korea cohort. A web‐based dynamic nomogram was also implemented ( https://min115.shinyapps.io/CVDrisk/ ). Results The final nomogram incorporated age, hypertension, diabetes, metabolic score for visceral Fat (METS‐VF), serum creatinine, and blood urea nitrogen. In internal validation, the model achieved an AUC of 0.799, with a Hosmer–Lemeshow p value of 0.823. In external validation, the AUC was 0.821, with a Hosmer–Lemeshow p value of 0.083. In both the internal and external validation sets, the model demonstrated good clinical utility. Conclusions This study developed and validated a nomogram for the classification of prevalent CVD in individuals with obesity, providing a validated model optimized for the population with obesity.
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Cao et al. (2026) conducted an observational in Prevalent cardiovascular disease in individuals with obesity. Nomogram incorporating age, hypertension, diabetes, METS-VF, serum creatinine, and blood urea nitrogen was evaluated on Model performance for classifying prevalent CVD (Area Under the Curve) (AUC 0.799 (internal) and 0.821 (external), p=0.823 (internal Hosmer-Lemeshow)). A nomogram incorporating age, hypertension, diabetes, METS-VF, serum creatinine, and BUN achieved an AUC of 0.799 in internal validation and 0.821 in external validation for classifying prevalent CVD.
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