Table 1 Baseline characteristics of the study population.

From: Deep learning to predict elevated pulmonary artery pressure in patients with suspected pulmonary hypertension using standard chest X ray

 

Training Group

PH group

non-PH group

P value

Validation group

Number

900

439

461

 

90

Age, years

67 ± 13

66 ± 14

68 ± 12

0.004

64 ± 13

Male, n (%)

511(57)

233(53)

278(60)

0.014

54(59)

HR, bpm

74 ± 16

76 ± 16

73 ± 15

0.001

73 ± 15

Height, m

1.59 ± 1.0

1.58 ± 0.9

1.59 ± 1.0

0.137

1.59 ± 1.0

Weight, kg

60 ± 15

61 ± 17

59 ± 13

0.010

60 ± 14

SBP, mmHg

122 ± 22

122 ± 22

122 ± 21

0.364

121 ± 20

DBP, mmHg

69 ± 14

69 ± 15

70 ± 14

0.321

71 ± 15

CI, L/min/m2

2.8 ± 0.8

2.8 ± 0.9

2.7 ± 0.7

 < 0.001

2.8 ± 0.9

mean PAWP, mmHg

12.4 ± 6.4

16.5 ± 6.2

8.4 ± 3.4

 < 0.001

12.8 ± 6.4

mean PAP, mmHg

21.3 ± 8.9

28.2 ± 7.8

14.8 ± 2.9

 < 0.001

21.6 ± 8.4

mean RAP, mmHg

5.9 ± 4.1

7.8 ± 4.3

4.0 ± 2.9

 < 0.001

6.1 ± 3.8

PVR, Wood unit

2.2 ± 2.0

2.8 ± 2.6

1.6 ± 0.8

 < 0.001

2.2 ± 1.8

  1. Data are presented as number of patients (percentage), mean ± SD.
  2. HR heart rate; BP blood pressure; BMI body mass index; AF atrial fibrillation; CO cardiac output; CI cardiac index; PAWP pulmonary arterial wedge pressure; PAP pulmonary artery pressure; RAP right atrial pressure.
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