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Table 4 The comparisons of the ROC curves between two different models

From: Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients

 

â–³AUC

95% CI

P

â–³AUC

95% CI

P

Compared to Model 1

   

Compared to Model 2

  

Model 2

0.060

− 0.022 to 0.14

0.15

–

–

–

Model 3

0.073

− 0.0082 to 0.16

0.078

0.016

− 0.011 to 0.043

0.25

Model 4

0.076

0.0044–0.15

0.038

0.054

0.0071–0.10

0.024

Model 5

0.076

0.0044–0.15

0.038

0.054

0.0071–0.10

0.024

Compared to Model 3

   

Compared to Model 4

  

Model 4

0.050

0.00048–0.099

0.048

–

–

–

Model 5

0.050

0.00048–0.099

0.048

0.00

–

1.0

  1. Bold indicates the siginificant values (P < 0.05)
  2. Model 1: Clinical factors contained age, gender, NYHA class, AF, SCr and LVEF; Model 2: Model 1 + Log2 NT-proBNP; Model 3: Model 2 + Log2 sST2; Model 4: Model 2 + Log2 PIIINP; Model 5: Model 2 + Log2 sST2 + Log2 PIIINP
  3. CI, confidence interval