Association between neutrophil percentage to albumin ratio and mortality in takotsubo syndrome patients: analysis of the MIMIC-IV database

Figures

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  Fig. 1. Flowchart of cohort selection for patients with Takotsubo syndrome from the MIMIC-IV 3.1 database

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  Fig. 2. ROC curve analysis of NPAR for the prediction of 28-day mortality. The ROC curve was used to assess the discriminative performance of NPAR for 28-day mortality in patients with TS and to determine the optimal cut-off value of 29.35

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  Fig. 3. KM Curve between patient groups stratified by the optimal NPAR cut-off (29.35). Patients were divided into low-NPAR and high-NPAR groups according to the ROC-derived cut-off value of 29.35. Survival differences between the two groups were assessed using the log-rank test

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  Fig. 4. RCS curve for the association between NPAR and the risk of 28-day mortality. The curve shows the hazard ratio (HR) for 28-day mortality across NPAR values, with NPAR = 29.35 as the reference. The shaded area represents the 95% confidence interval. The overall association was significant (P for overall = 0.041), whereas the nonlinear component was not statistically significant (P for nonlinear = 0.194)

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  Fig. 5. Variable importance plot derived from the Boruta feature selection analysis. The boxplots present the distribution of variable importance scores across Boruta iterations. Confirmed important variables are shown in green, tentative variables in yellow, rejected variables in red, and shadow features in blue

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  Fig. 6. Internal validation summary of the seven machine-learning models based on stratified 10-fold cross-validation. A Mean cross-validated AUC values ± SD for XGBoost, LightGBM, Random Forest, AdaBoost, GBDT, SVM, and KNN. B Summary of the corresponding mean cross-validated classification metrics, including accuracy, sensitivity, specificity, and F1 score