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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