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Table 2 Characteristics of the patients with mitral stenosis involved in the proteomic study

From: Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease

 

SR (n = 9)

AF (n = 9)

p

Male (n, %)

5 (55.6%)

4 (44.4%)

1

Age (year)

50.5 ± 6.5

55.5 ± 9.0

0.195

BMI (kg/m2)

22.2 ± 2.0

22.7 ± 1.8

0.489

Hypertension (n, %)

4 (44.4%)

6 (66.7%)

0.637

Hemoglobin (g/L)

135.7 ± 16.8

128.1 ± 22.4

0.546

WBC (109/L)

6.2 ± 2.1

6.7 ± 1.6

0.546

Platelet (109/L)

225.8 ± 86.4

205.2 ± 44.0

0.931

ALT (u/L)

18.7 ± 11.4

19.6 ± 7.7

0.666

AST (u/L)

20.2 ± 4.9

24.8 ± 12.4

0.605

ALB (g/L)

37.4 ± 1.9

39.1 ± 4.2

0.489

Serum creatinine (umol/L)

64.5 ± 21.0

69.1 ± 15.6

0.222

NT-proBNP (pg/mL)

161.4 ± 77.7

201.8 ± 138.7

0.546

Fasting blood glucose (mmol/L)

5.0 ± 0.4

5.2 ± 0.4

0.489

Total cholesterol (mmol/L)

4.6 ± 0.5

4.3 ± 0.5

0.269

RA size (mm)

33.0 ± 4.3

33.0 ± 4.3

0.796

LA size (mm)*

37.9 ± 3.1

49.4 ± 8.0

0.001

RV size (mm)

30.1 ± 4.9

33.8 ± 8.1

0.489

LV size (mm)

46.9 ± 10.6

54.1 ± 10.8

0.161

EF (%)

62.9 ± 8.6

61.3 ± 8.8

0.711

Mitral valve area (cm2)

1.8 ± 0.3

1.9 ± 0.3

0.746

NYHA class (I/II)

9/0

6/3

 
  1. *p < 0.05