Observational Study
Copyright ©The Author(s) 2025.
World J Cardiol. Jul 26, 2025; 17(7): 101434
Published online Jul 26, 2025. doi: 10.4330/wjc.v17.i7.101434
Figure 1
Figure 1 Study flowchart. NHANES: National Health and Nutrition Examination Survey; TC: Total cholesterol; HDL-C: High-density lipoprotein cholesterol; NHHR: Non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio; DM: Diabetes mellitus.
Figure 2
Figure 2 Feature selection by two machine learning method. A: Feature selection by Boruta algorithm, the vertical axis represents the Z-value of each variable, boxes with green are important features; B: The plot of the association between the cross-validation error and the log-transformed penalty parameter (λ) in the least absolute shrinkage and selection operator regression analysis; C: The least absolute shrinkage and selection operator regression screening path for the variables based on the optimal log of lambda. PIR: Poverty-income ratio; HYPER: Hypertension; CHD: Coronary heart disease; HF: Heart failure; NHHR: Non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio; BMI: Body mass index.
Figure 3
Figure 3 Kaplan-Meier curve and restricted cubic splines of the analysis on non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio and cardiovascular mortality. A: Kaplan-Meier curve stratified by non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio (quartile 1 to quartile 4); B: Multiple-adjusted restricted cubic splines showing hazard ratios for the risk of incident cardiovascular mortality associated with remnant cholesterol. Blue solid lines represent hazard ratios, and shaded areas represent 95% confidence intervals. Analysis was adjusted for age, ethnicities, education levels, poverty-income ratio, history of heart failure and non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio. HR: Hazard ratios; CI: Confidence intervals; NHHR: Non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio.
Figure 4
Figure 4 Nomogram predicting cardiovascular mortality in patients with diabetes mellitus. A: Heart failure 1 indicates heart failure history, and 2 indicates no heart failure history. Race 1 indicates Mexican American, 2 indicates other Hispanic, 3 represents non-Hispanic white, 4 indicates non-Hispanic black, and 5 represents other ethnicities; Education (1-4 not shown in the nomogram but available online) 1 indicates less than 9th grade, 2 indicates 9-11th grade, 3 represents high school graduate, 4 indicates college, 5 represents college graduate or above, and 6 indicates unknown; B: Receiver operating characteristic curves of non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio (NHHR) in predicting cardiovascular mortality for 60, 96, and 120 months in training cohort; C: Receiver operating characteristic curves of NHHR in predicting cardiovascular mortality for 60, 96, and 120 months in validation cohort. PIR: Poverty-income ratio; HF: Heart failure; NHHR: Non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio; AUC: Area under the curve.
Figure 5
Figure 5 Calibration curves of the nomogram prediction model for cardiovascular mortality in patients with diabetes mellitus. A-C: Calibration curve for 60, 96, and 120 months in the training set; D-F: Calibration curve for 60, 96, and 120 months in the validation set.