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Table 1 Comparison of demographic, lifestyle characteristics and serum lipid levels of the participants

From: Identification of immune-related key genes in the peripheral blood of ischaemic stroke patients using a weighted gene coexpression network analysis and machine learning

Characteristic

Control (n = 166)

Ischaemic stroke (n = 180)

Test‑statistic

p

Male/female c

94/72

95/85

0.516

0.473

Age (years) a

62.01 ± 9.40

63.25 ± 9.19

0.037

0.216

Height (cm) a

160.45 ± 7.44

161.00 ± 7.47

0.832

0.495

Weight (kg) a

56.94 ± 7.96

57.46 ± 8.88

3.245

0.569

BMI (kg/m2) a

22.10 ± 2.61

22.16 ± 3.08

2.777

0.851

Smoking [n (%)] c

66 (39.8)

75 (41.7)

0.130

0.718

Alcohol [n (%)] c

43 (25.9)

50 (27.8)

0.154

0.694

SBP (mmHg) a

128.70 ± 15.57

137.56 ± 19.09

28.524

 < 0.001

DBP (mmHg) a

74.63 ± 7.38

75.54 ± 10.38

13.634

0.351

PP (mmHg) a

54.07 ± 15.31

62.01 ± 16.55

22.320

 < 0.001

Glu (mmol/L) a

6.02 ± 1.10

6.17 ± 1.30

0.662

0.247

TC (mmol/L) a

4.28 ± 0.78

4.39 ± 0.79

0.026

0.198

TG (mmol/L) b

0.93 (0.62)

1.16 (0.69)

-4.732

 < 0.001

HDL-C (mmol/L) a

1.86 ± 0.38

1.29 ± 0.36

1.316

 < 0.001

LDL-C (mmol/L) a

2.33 ± 0.72

2.71 ± 0.67

1.775

 < 0.001

ApoA1 (g/L) a

1.33 ± 0.22

1.03 ± 0.22

1.001

 < 0.001

ApoB (g/L) a

0.81 ± 0.18

0.81 ± 0.17

0.118

0.745

ApoA1/ApoB a

1.73 ± 0.49

1.32 ± 0.39

8.560

 < 0.001

Hyperlipidemia[n (%)]c

38 (22.9)

45 (25)

0.211

0.646

T2DM[n (%)]c

34 (20.5)

43 (22.9)

0.579

0.447

Hypertension[n (%)]c

40 (24.1)

82 (45.5)

14.873

 < 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; T2DM Type 2 diabetes mellitus
  2. a Continuous data were presented as means ± SD and determined by two side t-test
  3. b Nonnormally distributed data were expressed using median and quartile ranges and were evaluated using the Wilcoxon-Mann–Whitney test
  4. c A chi-square analysis was used to evaluate the difference of the rate between the groups