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Table 8 Comparison of the diagnostic efficiency of the two models for predicting IgAN and non-IgAN

From: A novel differential diagnostic model based on multiple biological parameters for immunoglobulin A nephropathy

Model

Cut-off point of of predicted probability

Predicted membership

Biopsy diagnosis

Sensitivity

Specificity

Accuracy

  

IgAN

Non-IgAN

   

Logistic regression model PRE-1

0.50

IgAN

64

12

68.8%

86.2%

77.5%

 

Non-IgAN

29

75

   
 

0.40

IgAN

77

18

82.8%

79.3%

81.1%

  

Non-IgAN

16

69

   

Discriminant analysis model PRE-2

0.50

IgAN

64

13

68.8%

85.1%

77.0%

  

Non-IgAN

29

74

   
 

0.40

IgAN

77

20

82.8%

77.0%

79.9%

  

Non-IgAN

16

67

   
  1. Abbreviations: IgAN, immunoglobulin A nephropathy; Non-IgAN, non-immunoglobulin A nephropathy; PRE, predicted probability.