Skip to main content

Table 2 Demographic characteristics of inpatients

From: Ontology-based venous thromboembolism risk assessment model developing from medical records

 

VTE

non-VTE

P value

Total

N

224

2882

–

3106

Gender (Male)

119 (53.13%)

1587 (55.07%)

>  0.05

1673

Age (Year)

55.81 ± 16.45

52.75 ± 16.24

<  0.05

52.97 ± 16.28

BMI (Kg/m2)

23.99 ± 4.13

23.47 ± 4.27

>  0.05

23.51 ± 4.26

Hospital stay (Day)

22 (14, 35)

11 (6, 18)

<  0.05

12 (6, 19)

Padua Score

5.88 ± 2.46

2.89 ± 2.45

<  0.05

3.10 ± 2.57

High Risk (Padua model)

194 (86.61%)

1078 (37.40%)

<  0.05

1272

Active malignant cancer/chemotherapy

70 (31.25%)

807 (28.00%)

>  0.05

877

Previous VTE

34 (15.28%)

17 (0.59%)

<  0.05

51

Reduced mobility

158 (70.54%)

1030 (35.74%)

<  0.05

1188

Thrombophilic condition

25 (15.63%)

53 (1.84%)

<  0.05

88

Recent trauma/surgery

14 (6.25%)

87 (3.02%)

>  0.05

101

Age > =70

45 (20.09%)

418 (14.50%)

<  0.05

463

Heart/respiratory failure

65 (29.12%)

112 (3.89%)

<  0.05

177

Acute myocardial infarction/ischemic stroke

8 (3.57%)

44 (1.53%)

>  0.05

52

Acute Infection/rheumatologic disorder

131 (58.48%)

710 (24.64%)

<  0.05

841

BMI > =30 kg/m2

13 (5.80%)

165 (5.73%)

>  0.05

178

Ongoing glucocorticoid treatment

136 (60.71%)

972 (33.73%)

<  0.05

1108

  1. Hospital stay is denoted as ‘Median (lower quartile, upper quartile)’. Age, BMI and Padua score was expressed with ‘Mean ± Standard Deviation’