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Nephrology

A Nomogram for Predicting the Risk of CKD Based on Cardiometabolic Risk Factors

, , , , , & show all
Pages 4143-4154 | Received 27 Jun 2023, Accepted 15 Aug 2023, Published online: 11 Sep 2023

Figures & data

Table 1 Clinical Features of the Participants

Table 2 Univariable and Multivariate Analysis of Variables Associated with CKD Risk

Figure 1 The nomogram developed in this study to calculate the predicted 3-year CKD risk.

Figure 1 The nomogram developed in this study to calculate the predicted 3-year CKD risk.

Figure 2 A case of using the nomogram to calculate the predicted 3-year CKD risk.

Figure 2 A case of using the nomogram to calculate the predicted 3-year CKD risk.

Figure 3 Receiver operating characteristic curve (ROC) for predicting the 3-year risk of CKD. AUCs (areas under the curve) with 95% confidence intervals (red area) were calculated by 1000 bootstrap resamples.

Figure 3 Receiver operating characteristic curve (ROC) for predicting the 3-year risk of CKD. AUCs (areas under the curve) with 95% confidence intervals (red area) were calculated by 1000 bootstrap resamples.

Figure 4 Calibration plots for observed and predicted 3-year risks of CKD. The black dashed line indicates the reference line that represents where a perfect calibration would lie, the solid red line indicates the result for our risk prediction model, and the solid green line indicates optimism-corrected calibration plots derived from 1000 bootstrap resamples.

Figure 4 Calibration plots for observed and predicted 3-year risks of CKD. The black dashed line indicates the reference line that represents where a perfect calibration would lie, the solid red line indicates the result for our risk prediction model, and the solid green line indicates optimism-corrected calibration plots derived from 1000 bootstrap resamples.

Table 3 Values of Sensitivity, Specificity, PPV and NPV for the Nomogram Scores at Different Cut-off Values