25 April 2021>: Clinical Research
Predicting the Risk of Acute Kidney Injury in Patients After Percutaneous Coronary Intervention (PCI) or Cardiopulmonary Bypass (CPB) Surgery: Development and Assessment of a Nomogram Prediction ModelYi Du ABCDEFG , Xiu-Zhe Wang ABFG , Wei-Dong Wu ABCDE* , Hai-Peng Shi ABC , Xiao-Jing Yang CD , Wen-Jing Wu BC , Shu-Xian Chen EF
Med Sci Monit 2021; 27:e929791
Figure 3 Inspection of the nomogram and clinical applications. (A) A calibration curve for the predictive model of the risk of AKI after PCI or CPB surgery. When the solid line closely fitted with the dotted line, an improved predictive ability was deduced. (B) The AUC indicates the prediction ability of the model. The model exhibited good predictive power, with the AUC values of the training group (red) and the validation group (blue) recorded as 0.967 and 0.896, respectively. (C) Decision curve for the estimation of AKI risk. “None” assumes that no AKI occurred in all patients. “All” assumes that AKI occurred in all patients. AKI – acute kidney injury; AUC – area under the curve; CPB – cardiopulmonary bypass; PCI – percutaneous coronary intervention.