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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’