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Original Research

A Nomogram for Predicting In-Hospital Major Adverse Cardio- and Cerebro-Vascular Events in Patients Undergoing Major Noncardiac Surgery: A Large-Scale Nested Case-Control Study

, , ORCID Icon, , ORCID Icon & ORCID Icon
Pages 457-465 | Published online: 22 Apr 2022

Figures & data

Table 1 The Characteristics of Recruited Cases

Table 2 The End-Point Events of Recruited Cases

Figure 1 Selected variables and the constructed nomogram. (A) Importance of each variable as measured by partial Wald χ2 minus the predictor degrees of freedom. (B) Nomogram for the prediction model. CHF, chronic heart failure; VHD, valvular heart disease; Cr 2.0 > mg/dL, preoperative serum creatinine > 2.0 mg/dL.

Figure 1 Selected variables and the constructed nomogram. (A) Importance of each variable as measured by partial Wald χ2 minus the predictor degrees of freedom. (B) Nomogram for the prediction model. CHF, chronic heart failure; VHD, valvular heart disease; Cr 2.0 > mg/dL, preoperative serum creatinine > 2.0 mg/dL.

Figure 2 Comparison between the new prediction nomogram and the modified RCRI score. (A) AUC of the new prediction nomogram (0.758) and the modified RCRI score (0.639). (B) Calibration plot of the new prediction nomogram. (C) Decision curve analysis evaluation of the two models. (D)The ROC curves of the new prediction nomogram in comparison with modified RCRI score in subgroup patients excluded cerebrovascular diseases or non-cardiac death.

Figure 2 Comparison between the new prediction nomogram and the modified RCRI score. (A) AUC of the new prediction nomogram (0.758) and the modified RCRI score (0.639). (B) Calibration plot of the new prediction nomogram. (C) Decision curve analysis evaluation of the two models. (D)The ROC curves of the new prediction nomogram in comparison with modified RCRI score in subgroup patients excluded cerebrovascular diseases or non-cardiac death.