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Table 6 Multiple logistic regression to control for potential confounders

From: Novel computed tomographic chest metrics to detect pulmonary hypertension

 

P

OR

AUC

Sensitivity (%)

Specificity (%)

Main PA diameter ≥29 mm

0.0196

4.8

0.93

77.4

89.6

Left PA diameter ≥24 mm

0.2160

2.6

0.92

77.4

87.5

Right PA diameter ≥25 mm

0.4461

1.9

0.91

73.6

93.8

RDPA diameter19 mm

0.0059

7.0

0.93

83.0

85.4

True RDPA diameter16 mm

0.0487

4.1

0.92

83.0

87.5

True LDPA diameter21 mm

0.0075

15.5

0.93

79.2

91.7

RV free wall6 mm

0.0303

30.5

0.95

81.0

91.9

RV lumen ≥30 mm

0.0915

5.8

0.95

92.9

73.0

LV free wall ≥15 mm

0.1607

5.2

0.95

85.7

83.8

LV lumen ≥57 mm

0.3945

3.0

0.94

76.2

88.9

Hilar diameter ≥124 mm

0.2968

2.2

0.92

81.1

75.0

RV wall/LV wall ratio0.32

0.0141

8.8

0.96

78.6

83.8

RV lumen/LV lumen ratio1.28

0.0196

28.8

0.95

85.7

86.1

L apical artery/bronchus ratio ≥1.75

0.2851

3.5

0.92

75.5

87.5

Hilar/thoracic ratio ≥0.52

0.0757

3.7

0.92

75.5

87.5

Main PA/AA ratio0.84

0.0208

6.0

0.93

73.6

91.7

Main PA/DA ratio1.29

0.0269

5.7

0.93

77.4

89.6

IV septum bowing into LV (yes or no)

0.1053

11.6

0.95

81.0

89.2

Main PA/AA ratio >1

0.0085

9.1

0.93

86.8

79.2

  1. Regression of the outcome variable (PH vs. no-PH) to the predictors:
  2. ULN for each hypothesized predictor of PH, age, sex, ascending aorta diameter (AA), BSA, thoracic diameter (TD), and pulmonary wedge pressure (PWP) >15 mmHg.
  3. Note: one logistic regression model was created for each hypothesized predictor of PAH. For example, the analysis in the first row above included the predictors: Main PA diameter ≥29, age, sex, AA, BSA, TD, and PWP >15. See table 1 for definitions of radiographic metrics.