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Table 2 Patient characteristics comparison between unstable and stable group

From: External validation of a machine learning model to predict hemodynamic instability in intensive care unit

Characteristics

Unstable

Stable

Overall

p value

N = 3053

N = 12,914

N = 15,967

Age, median [Q1, Q3]

70 [58, 82]

70 [56, 82]

70 [57, 82]

0.237a

Gender n (%)

    

 Female

1058 (34.6)

4524 (35.0)

5582 (35.0)

0.71b

 Male

1995 (65.4)

8390 (65.0)

10,385 (65.0)

 

APACHEII, median [Q1, Q3]

25 [20, 31]

21 [15, 26]

22 [16, 28]

< 0.001a

Length of stay (days), median [Q1, Q3]

12 (7, 19)

5 (2, 8)

6 (3, 10)

< 0.001a

Admission type n (%)

    

 Emergency

1228 (40.2)

5735 (44.4)

6963 (43.6)

0.012b

 Not emergency

1427 (46.7)

5965 (46.2)

7392 (46.3)

 

 Other

398 (13.1)

1207 (9.4)

1605 (10.1)

 

ICU n (%)

    

 Surgical

1007 (33.0)

5277 (40.9)

6284 (39.4)

< 0.001b

 Medical

2046 (67.0)

7637 (59.1)

9683 (60.6)

 

ICU mortality n (%)

    

 Survivors

1805 (59.1)

11,533 (89.3)

13,338 (83.5)

< 0.001b

 Death

1248 (40.9)

1381 (10.7)

2629 (16.5)

 

Admission source, n (%)

    

 Cardiovascular medical

50 (1.6)

1219 (9.4)

1269 (7.9)

< 0.001b

 Cardiovascular surgical

37 (1.2)

269 (2.1)

306 (1.9)

 

 Gastrointestinal medical

373 (12.2)

1331 (10.3)

1704 (10.7)

 

 Gastrointestinal surgical

536 (17.6)

2602 (20.1)

3138 (19.7)

 

 Metabolic/endocrinology medical

196 (6.4)

606 (4.7)

802 (5.0)

 

 Neurologic medical

5 (0.2)

20 (0.2)

25 (0.2)

 

 Neurologic surgical

3 (0.1)

24 (0.2)

27 (0.2)

 

 Others medical

1419 (46.5)

4448 (34.4)

5867 (36.7)

 

 Others surgical

329 (10.8)

1865 (14.4)

2194 (13.7)

 

 Respiratory medical

3 (0.1)

13 (0.1)

16 (0.1)

 

 Respiratory surgical

11 (0.4)

23 (0.2)

34 (0.2)

 

 Trauma surgical

91 (3.0)

494 (3.8)

585 (3.7)

 
  1. aKruskal–Wallis test
  2. bFisher's exact test