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Table 1 Characteristics of the 5,940 critically ill ventilated patients with and without extubation during ICU-admission

From: Explainable machine learning approach to predict extubation in critically ill ventilated patients: a retrospective study in central Taiwan

 

All

Extubation (-)

Extubation ( +)

p-value

N = 5,940

N = 2,283

N = 3,657

 

Demographic data

 Age (years)

66.2 ± 16.2

65.8 ± 16.0

66.4 ± 16.3

0.12

 Sex (male)

3799 (64.0%)

1482 (64.9%)

2317 (63.4%)

0.24

 Body mass index

24.0 ± 5.0

23.5 ± 4.8

24.0 ± 5.2

 < 0.01

CCI

2.1 (1.4)

2.1 (1.4)

2.2 (1.5)

0.05

ICU types

   

 < 0.01

  Medical ICU

2831 (47.7%)

1043 (45.7%)

1788 (48.9%)

 

  Surgical ICU

1272 (21.4%)

512 (22.4%)

760 (20.8%)

 

  Neurological ICU

1176 (19.8%)

575 (25.2%)

601 (16.4%)

 

  Cardiac ICU

399 (6.7%)

110 (4.8%)

289 (7.9%)

 

  Cardiosurgical ICU

262 (4.4%)

43 (1.9%)

219 (6.0%)

 

Severity score

  APACHE II

25.7 ± 6.6

26.7 ± 6.8

25.0 ± 6.3

 < 0.01

  SOFA score

8.5 ± 3.6

9.0 ± 3.9

8.2 ± 3.4

 < 0.01

Outcome

 ICU-stay (day)

14.7 ± 10.6

17.2 ± 12.0

13.1 ± 9.3

 < 0.01

 Ventilator-day

12.2 ± 10.8

16.0 ± 12.0

9.7 ± 9.1

 < 0.01

 Hospital-stay (day)

29.4 ± 16.7

30.3 ± 18.6

28.8 ± 15.4

 < 0.01

  1. Data were presented as mean ± standard deviation and number (percentage)
  2. Abbreviations: CCI Charlson comorbidity index, ICU intensive care unit, APACHE II acute physiology and chronic health evaluation II, SOFA sequential organ failure assessment