Skip to main content

Table 1 Baseline characteristics of the study population with PAH

From: Artificial intelligence-based model for predicting pulmonary arterial hypertension on chest x-ray images

Variable

Total population (n = 145)

Age

51.9 ± 16.1

Sex, n (%)

 

Male

34 (23.4)

Female

111 (76.6)

IPAH, n (%)

53 (36.6)

HPAH, n (%)

9 (6.2)

Other comorbid conditions, n (%)

 

Systemic sclerosis

26 (17.9)

Mixed connective tissue disease

9 (6.2)

Systemic lupus erythematosus

8 (5.5)

Rheumatoid arthritis

6 (4.1)

Dermatomyositis

1 (0.7)

Human immunodeficiency infection

1 (0.7)

Portal hypertension

11 (7.6)

Atrial septal defect

14 (9.7)

Ventricular septal defect

3 (2.1)

Partial anomalous pulmonary venous return

4 (2.8)

WHO functional class, n (%)

 

Class I

6 (4.1)

Class II

53 (36.6)

Class III

69 (47.6)

Class IV

17 (11.7)

Right heart catheterization results

 

Mean PAP, mmHg

41.4 ± 13.4

Mean PAWP, mmHg

8.4 ± 3.7

PVR, Wood unit

7.9 ± 5.5

CI, L/min/m2

3.2 ± 1.3

  1. *Data are presented as number of patients (percentage), mean ± SD.
  2. Abbreviations: IPAH: idiopathic pulmonary arterial hypertension; HPAH: heritable pulmonary arterial hypertension; WHO: World Health Organization; PAP: pulmonary artery pressure; PAWP: pulmonary arterial wedge pressure; PVR: pulmonary vascular resistance; CI: cardiac index