Table 1 Baseline characteristics of hemodialysis patients from our cohort.

From: Identification and validation of inflammatory response genes linking chronic kidney disease with coronary artery disease based on bioinformatics and machine learning

Characteristics

Non-CAD (n = 97)

CAD (n = 53)

P-value

Age, y

52.0 ± 14.3

58.7 ± 13.4

P = 0.005

Female/male (n)

31/66

18/35

P = 0.803

BMI (kg/m2)

21.9 ± 4.2

22.7 ± 3.8

P = 0.216

Primary disease, %

 Primary glomerulonephritis

48 (49.5)

26 (49.0)

P = 0.960

 Diabetic kidney disease

7 (7.2)

9 (17.0)

P = 0.064

 Hypertensive nephrosclerosis

14 (14.4)

8 (15.1)

P = 0.913

 Interstitial nephritis

24 (24.8)

9 (17.0)

P = 0.273

 Polycystic kidney

4 (4.1)

1 (1.9)

P = 0.657

Medication, %

 Erythropoietin

78 (80.4)

47 (88.7)

P = 0.194

 Roxadustat

24 (24.8)

9 (17.0)

P = 0.273

 Atorvastatin

20 (20.6)

28 (52.8)

P < 0.001

 Aspirin

3 (3.1)

13 (24.5)

P < 0.001

  1. CAD coronary artery disease.