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Clinical Study

A nomogram predicts cardiovascular events in patients with peritoneal dialysis-associated peritonitis

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Pages 1559-1568 | Received 17 Apr 2022, Accepted 12 Sep 2022, Published online: 26 Sep 2022

Figures & data

Figure 1. Enrollment and outcomes of the cohort.

Figure 1. Enrollment and outcomes of the cohort.

Table 1. Baseline characteristics of the study populations.

Table 2. Results of univariate and multivariate Regression Analysis.

Figure 2. A nomogram for predicting the risk of cardiovascular events in PD patients with peritonitis.

Figure 2. A nomogram for predicting the risk of cardiovascular events in PD patients with peritonitis.

Table 3. Multivariate COX regression model for predicting cardiovascular events in patients with peritoneal dialysis-related peritonitis.

Table 4. The collinearity of the final multivariable model.

Figure 3. ROC curve for time-dependent cardiovascular events in PD patients with peritonitis.

Figure 3. ROC curve for time-dependent cardiovascular events in PD patients with peritonitis.

Figure 4. Kaplan-Meier survival curves on the basis of the nomogram.

Figure 4. Kaplan-Meier survival curves on the basis of the nomogram.

Figure 5. Time-dependent non-cardiovascular events for plots depict the calibration of the nomogram in terms of the agreement between predicted and observed.

Figure 5. Time-dependent non-cardiovascular events for plots depict the calibration of the nomogram in terms of the agreement between predicted and observed.

Table 5. Nomogram score for each indicator.

Table 6. Sensitivity analysis and Bootstrap internal validation to test the robustness of the prediction model.

Supplemental material

Supplemental Material

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Data availability statement

The data presented in this study are available on request from the corresponding author.