Research Article

Construction of a Prediction Model for the Mortality of Elderly Patients with Diabetic Nephropathy

Table 6

The predictive value of the model in different subgroups.

SubgroupSensitivity (95% CI)Specificity (95% CI)PPV (95% CI)NPV (95% CI)AUC (95% CI)Accuracy (95% CI)

Gender
 Male0.90 (0.80–0.99)0.39 (0.25–0.52)0.54 (0.42–0.66)0.83 (0.67–0.98)0.66 (0.55–0.78)0.61 (0.51–0.72)
 Female0.91 (0.79–1.00)0.56 (0.41–0.71)0.51 (0.36–0.67)0.92 (0.82–1.00)0.78 (0.65–0.91)0.68 (0.56–0.79)

Age
 >75 years0.88 (0.75–1.00)0.36 (0.22–0.50)0.43 (0.30–0.57)0.84 (0.68–1.00)0.65 (0.52–0.78)0.54 (0.43–0.66)
 ≤75 years0.92 (0.83–1.00)0.57 (0.43–0.72)0.62 (0.49–0.75)0.90 (0.79–1.00)0.78 (0.68–0.88)0.72 (0.63–0.82)

CKD
 Yes0.90 (0.80–1.00)0.51 (0.39–0.63)0.47 (0.34–0.59)0.92 (0.83–1.00)0.74 (0.64–0.84)0.64 (0.54–0.73)
 No0.90 (0.79–1.00)0.37 (0.19–0.55)0.61 (0.47–0.76)0.77 (0.54–1.00)0.67 (0.52–0.82)0.65 (0.53–0.77)

CVD
 Yes0.90 (0.82–0.98)0.46 (0.34–0.58)0.57 (0.46–0.67)0.86 (0.75–0.97)0.71 (0.61–0.80)0.66 (0.57–0.74)
 No0.89 (0.68–1.00)0.48 (0.28–0.68)0.38 (0.17–0.59)0.92 (0.78–1.00)0.71 (0.50–0.92)0.59 (0.42–0.75)

CI: confidence interval, AUC: area under the curve, NPV: negative predictive value, PPV: positive predictive value, CKD: chronic kidney disease, CVD: cardiovascular diseases.