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Table 3 The AUC of the ROC curves from different models and the comparisons

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

 

AUC

95% CI

P

Sensitivity

Specificity

Model 1

0.77

0.69–0.84

< 0.01

0.69

0.75

Model 2

0.79

0.71–0.86

< 0.01

0.61

0.87

Model 3

0.80

0.72–0.86

< 0.01

0.92

0.61

Model 4

0.85

0.77–0.90

< 0.01

0.94

0.63

Model 5

0.85

0.77–0.90

< 0.01

0.94

0.63

  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. AUC, area under curve; CI, confidence interval