A Predictive Model for Contrast-Induced Acute Kidney Injury After Percutaneous Coronary Intervention in Elderly Patients with ST-Segment Elevation Myocardial Infarction

Figure 1. The study flow diagram.

Figure 2. LASSO regression model screening predictors of CI-AKI. (A) The plot of each clinical characteristic coefficient against log(λ) by adjusting the parameter λ. (B) LASSO regression model cross-validation plot. Draw a vertical line at the optimum with the minimum criterion and 1se of the minimum criterion. When λ = 0.0208, we get 14 variables for further analysis.

Figure 3. The nomogram for predicting the occurrence of CI-AKI after PCI in patients elderly with STEMI.

Figure 4. ROC curve of the nomogram for predicting CI-AKI after PCI in elderly patients with STEMI. (A) ROC curve of the training set; (B) ROC curve of the validation set.

Figure 5. Calibration curve of the nomogram for the training set (A) and the validation set (B).

Figure 6. The receiver operator characteristic curves of the nomogram and the Mehran Risk Score 2.

Figure 7. Decision curve analysis for the training cohort (A) and the validation cohort (B).

Figure 8. The clinical impact curve of the training cohort (A) and the validation cohort (B) are drawn based on the nomogram.