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Table 3 3-block binary logistic regression models (diagnosis as response variable) results comprising: model #1, including the demographic/clinical variables only (dataset to which the individual belongs -dataset 1 or dataset 2-, age, sex, type of attacks—unilateral or shifting); model #2, including model#1 as null model and the adjVOIs of the contralateral hypothalamic subunits; model #3 including model #1 and #2 as null model and the adjVOIs of the ipsilateral hypothalamic subunits

From: Involvement of the ipsilateral-to-the-pain anterior–superior hypothalamic subunit in chronic cluster headache

Model

df

Χ2

p

R2

AUC

Sensitivity

Specificity

Precision

cCH vs. CTRL

 Intercept

115

       

 Model 1 (DEM)

111

12.669

0.013

0.138

0.609

0.439

1

1

 Model 2 (DEM + CONTRA)

106

8.044

0.154

0.093

0.693

0.579

0.729

0.673

 Model 3 (DEM + CONTRA + IPSI)

101

11.737

0.039

0.137

0.767

0.667

0.78

0.745

eCH vs. CTRL

 Intercept

106

       

 Model 1 (DEM)

102

47.852

< .001

0.483

0.814

0.896

0.593

0.642

 Model 2 (DEM + CONTRA)

97

10.054

0.074

0.148

0.875

0.813

0.78

0.75

 Model 3 (DEM + CONTRA + IPSI)

92

22.796

< .001

0.339

0.936

0.833

0.847

0.816

  1. Abbreviations: cCH Chronic cluster headache, eCH Episodic cluster headache, CTRL Healthy participants, AUC Area under a receiver operating characteristics curve, DEM Demographic/clinical variables, IPSI Ipsilateral-to-the cranial pain subunits, CONTRA Contralateral to the cranial pain subunits