Development and validation of a nomogram to predict the five-year risk of revascularization for non-culprit lesion progression in STEMI patients after primary PCI

Figures

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  Figure 1. The study flowchart for developing and validating nomograms. CAG, coronary angiography; CABG, coronary artery bypass graft.

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  Figure 2. Variable screening based on lasso regression. (A) Characterization of the variation of variable coefficients; (B) The process of selecting the optimal value of the parameter λ in the Lasso regression model by the cross-validation method.

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  Figure 3. A nomogram for predicting the possibility of revascularization for non-culprit lesions progression. BMI, body mass index; SCr, serum creatinine.

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  Figure 4. Receiver operating characteristics curve of the nomogram in the training group (A) and the validation group (B).

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  Figure 5. Calibration curve for the training group (A) and the validation group (B) the horizontal axis denotes the overall predicted probability of revascularization in STEMI patients after percutaneous coronary intervention due to non-culprit lesions, and the vertical axis displays the actual probability.

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  Figure 6. Decision curve analysis for the training group (A) and the validation group (B).