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Table 2 ICH patients’ characteristics in the Training cohort

From: Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage

Characteristic

Good outcome

Poor outcome

P-value

Age

  

0.016

  < 65

130(55.8%)

79(43.9%)

 

  >  = 65

103(44.2%)

101(56.1%)

 

Sex

  

0.228

 Male

157(67.4%)

111(61.7%)

 Female

76(32.6%)

69(38.3%)

Hypertension

  

0.867

 No

63(27.0%)

50(27.8%)

 Yes

170(73.0%)

130(72.2%)

Diabetes

  

0.303

 No

31(13.3%)

162(90.0%)

 Yes

202(86.7%)

18(10.0%)

Smoking

  

0.105

 No

169(72.5%)

143(79.4%)

 Yes

64(27.5%)

37(20.6%)

Drinking

  

0.233

 No

161(69.1%)

134(74.4%)

 Yes

72(30.9%)

46(25.6%)

Intraventricular hemorrhage

  

0.000

 No

207(88.8%)

92(51.1%)

 Yes

26(11.2%)

88(48.9%)

Infratentorial hemorrhage

  

0.379

 No

209(89.7%)

166(92.2%)

 Yes

24(10.3%)

14(7.8%)

Hematoma volume

  

0.0000

  < 20 ml

217(93.1%)

105(58.3%)

 20–40 ml

14(6.0%)

31(17.2%)

  >  = 40 ml

2(0.9%)

44(24.4%)

White blood cell

7.47 ± 2.26

10.27 ± 4.96

0.000

Neutrophils

5.46 ± 2.05

8.35 ± 4.74

0.000

Lymphocyte

1.47 ± 0.70

1.33 ± 0.68

0.043

Urine nitrogen

5.40 ± 2.22

6.21 ± 3.24

0.005

Creatinine

80.49 ± 64.55

80.96 ± 36.78

0.931

Uric acid

348.82 ± 113.15

353.91 ± 136.11

0.686

ALT

21.26 ± 12.17

21.50 ± 10.14

0.829

AST

24.13 ± 8.41

29.38 ± 15.28

0.000

Glucose

6.13 ± 1.86

7.43 ± 2.99

0.000

Systolic pressure

159.55 ± 25.37

169.04 ± 28.79

0.00

Diastolic pressure

92.66 ± 16.82

95.5 ± 17.82

0.099

GCS scores

14.53 ± 1.20

10.69 ± 4.07

0.000

NIHSS scores

4.60 ± 4.44

17.16 ± 10.13

0.000