Research Article
A Nomogram for Predicting Cardiovascular Diseases in Chronic Obstructive Pulmonary Disease Patients
Table 5
The predictive performance of the model.
| Characteristic | Training set (95%CI) | Testing set (95%CI) |
| AUC | 0.75 (0.71–0.79) | 0.79 (0.73–0.85) | Accuracy | 0.76 (0.72–0.79) | 0.77 (0.72–0.82) | Sensitivity | 0.56 (0.46–0.63) | 0.51 (0.41–0.62) | Specificity | 0.83 (0.79–0.86) | 0.87 (0.83–0.92) | NPV | 0.84 (0.81–0.87) | 0.83 (0.78–0.87) | PPV | 0.53 (0.46–0.60) | 0.60 (0.49–0.71) |
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AUC: the area under the curve, NPV: negative predictive value, PPV: positive predictive value.
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