Table 1 The demographic and clinical characteristics of ICU patients.

From: Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units

Variable

Survivor n = 281

Non-survivor n = 60

P value

Sex (male/female)

183/98

46/14

 

Age, year

64.96 ± 16.86

66.85 ± 14.36

0.420

BMI

23.56 ± 4.33

23.47 ± 5.02

0.894

APACHE II scores

15.92 ± 7.83

24.23 ± 8.55

<0.001

Glasgow Coma scales

10.46 ± 3.73

9.50 ± 4.13

0.076

TISS scales

26.75 ± 8.00

31.00 ± 9.21

0.001

Comorbidities

  Cancer

18 (6)

12 (20)

0.001

  COPD

41 (15)

7 (12)

0.554

  Coronary artery disease

69 (25)

14 (23)

0.841

  Liver cirrhosis

5 (2)

10 (17)

<0.001

  Uremia

14 (5)

13 (22)

<0.001

  Stroke

92 (33)

13 (22)

0.092

  Diabetes

67 (24)

20 (33)

0.126

ICU days

13.70 ± 11.64

21.66 ± 20.79

<0.001

Hospital days

36.12 ± 26.64

44.55 ± 41.99

0.049

  1. Data are presented as mean ± standard deviation or n (%).
  2. BMI = Body Mass Index (kg/m2).
  3. APACHE = Acute Physiology and Chronic Health Evaluation.
  4. TISS = Therapeutic Intervention Scoring System.
  5. COPD = Chronic obstructive lung disease.
  6. ICU = intensive care unit.
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