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Table 3 Comparison of demographic, lifestyle characteristics and serum lipid levels of the participants

From: Identifying patterns of immune related cells and genes in the peripheral blood of acute myocardial infarction patients using a small cohort

Characteristic

Control(n = 214)

AMI

(n = 230)

Test‑statistic

P

Male/female c

158/56

169/61

0.007

0.933

Age (years)a

57.51 ± 11.07

58.98 ± 11.87

0.002

0.195

Height (cm)a

162.68 ± 7.64

163.30 ± 7.82

1.110

0.394

Weight (kg)a

56.72 ± 8.17

62.62 ± 11.60

28.115

 < 0.001

BMI (kg/m2)a

20.93 ± 3.09

23.39 ± 3.50

1.824

 < 0.001

Smoking [n (%)]c

50(32.9)

79 (41.5)

6.488

0.011

Alcohol [n (%)]c

57(26.7)

67(26.2)

0.343

0.558

SBP (mmHg)a

121.51 ± 15.61

136.77 ± 20.34

24.528

 < 0.001

DBP (mmHg)a

76.36 ± 9.32

77.85 ± 11.90

8.232

0.145

PP (mmHg)a

45.15 ± 11.10

58.92 ± 19.47

59.144

 < 0.001

Glu (mmol/L)a

6.05 ± 1.57

6.45 ± 1.76

8.646

0.009

TC (mmol/L)a

4.36 ± 0.80

4.62 ± 0.92

6.716

0.002

TG (mmol/L)b

0.88(0.43)

1.23(0.66)

-7.141

 < 0.001

HDL-C (mmol/L)a

1.82 ± 0.45

1.24 ± 0.36

9.799

 < 0.001

LDL-C (mmol/L)a

2.68 ± 0.68

3.14 ± 0.96

14.149

 < 0.001

ApoA1 (g/L)a

1.41 ± 0.28

1.01 ± 0.23

1.654

 < 0.001

ApoB (g/L)a

0.85 ± 0.18

0.84 ± 0.25

10.485

0.803

ApoA1/ApoBa

1.72 ± 0.46

1.30 ± 0.50

0.449

 < 0.001

Heart rate (beats/minutes)a

73.08 ± 9.76

73.53 ± 7.61

7.097

0.582

Creatinine, (μmol/L)a

70.72 ± 11.39

74.32 ± 12.64

1.043

0.002

Uric acid, (μmol/L)a

258.57 ± 70.12

274.89 ± 80.99

7.625

0.024

Troponin T, (μg/L)a

0.06 ± 0.03

3.56 ± 1.90

216.138

 < 0.001

CK, (U/L)a

72.40 ± 40.58

1055.62 ± 538.35

271.429

 < 0.001

CK-MB, (U/L)a

12.11 ± 3.11

133.41 ± 37.74

824.115

 < 0.001

  1. SBP Systolic blood pressure, DBP Diastolic blood pressure, PP Pulse pressure, Glu Glucose, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, Apo Apolipoprotein, TC Total cholesterol, TG Triglyceride
  2. aContinuous data were presented as means ± SD and determined by two side t-test
  3. bA chi-square analysis was used to evaluate the difference of the rate between the groups