Nomogram for predicting the 28-day mortality risk of patients with subendocardial infarction

Figures

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  Figure 1. Flow diagram of the study.

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  Figure 2. Least absolute shrinkage and selection operator (LASSO) binary logistic regression model for identifying independent risk factors for mortality in patients with SEMI within 28 days. (A) LASSO coefficient profiles of the radiomic features. Each colored line represents the coefficient of each feature. (B) Plot the results of cross-validation, and the red dots in the figure represent the target parameters corresponding to each lambda. The largest lambda value is chosen when the cross-validation error is within one standard error of the minimum.

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  Figure 3. 28-day mortality nomogram for subendocardial infarction. Nomogram included age, GCS score, creatinine, hematocrit, hemoglobin, international normalized ratio, blood urea nitrogen level, urine output, heart rate, respiratory rate, saturation of peripheral oxygen, peripheral vascular disease, diabetes complicated and solid tumor for predicting 28-day mortality after subendocardial infarction. The total point was calculated as the sum of the individual scores for each of the fourteen variables included in the nomogram. Patients were assessed based on each variable, and the total points were assigned according to the nomogram. Each variable's specific data were used to evaluate the patient, resulting in a total score derived from the nomogram. With this value, the risk of 28-day mortality could be predicted.

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  Figure 4. Receiver operating characteristic (ROC) curves for the SAPSII (green), APSIII (purple), SOFA (blue) and the nomogram (Red) in the training cohort (A) and the validation cohort (B).

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  Figure 5. Calibration curves for the training cohort (A) and the validation cohort (B).

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  Figure 6. Decision-curve analysis of the training cohort (A) and the validation cohort (B). Decision curve analysis depicts the clinical net benefit in pairwise comparisons across the different models. The red line indicates the nomogram, which is the model we built. The green line indicates APSIII scoring system, the blue line indicates SAPSII and the purple line indicates SOFA. Nomogram showed superior net benefit with a wider range of threshold probabilities compared with SAPSII, APSIII and SOFA.