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Table 1 Identification and performance of linear classification models. Classification of PI-CFS and healthy recovered control (RC) subjects at 6, 12 and 24 months post-diagnosis with IM using linear discriminant models with terms identified as optimal at each time point based on classical stepwise variable selection with the exception of classification based on glucose levels at 6 months which was specified based on differential expression

From: Tracking post-infectious fatigue in clinic using routine Lab tests

Model

Assigned RC

Assigned PI-FS

Total

 

Accuracy

NPV

PPV

Specificity

Sensitivity

6 months

         

 ACTH

8

4

12

True RC

0.72

0.73

0.71

0.67

0.77

 

3

10

13

True PI-CFS

     

 Glucose

9

3

12

True RC

0.72

0.69

0.75

0.75

0.69

 

4

9

13

True PI-CFS

     

12 months

         

 Estradiol

9

3

12

True RC

0.76

0.75

0.77

0.75

0.77

 

3

10

13

True PI-CFS

     

24 months

         

 Neutrophils

10

2

12

True RC

0.84

0.83

0.85

0.83

0.85

 

2

11

13

True PI-CFS