Table 1 Single factor analysis of classified variables.

From: Machine learning-based risk prediction model construction of difficult weaning in ICU patients with mechanical ventilation

 

Total patients (N = 487)

Difficult weaning (N = 164)

Simple offline (N = 323)

χ2/Z

P value

Sex

Female

188 (38.60)

62 (37.80)

126 (39.01)

0.067

0.796

Male

299 (61.40)

102 (62.20)

197 (60.99)

Cough reflex intensity

0

14 (2.87)

11 (6.71)

3 (0.93)

−4.405

0.000**

1

154 (31.62)

66 (40.)

88 (27.)

2

252 (51.75)

72 (43.90)

180 (55.73)

3

67 (13.76)

15 (9.15)

52 (16.10)

Consciousness

Lethargy

19 (3.90)

12 (7.32)

7 (2.17)

48.6

0.000**

Somnolence

3 (0.62)

0 (0.00)

3 (0.93)

Coma

40 (8.21)

26 (15.85)

14 (4.33)

Confusion

77 (15.81)

40 (0.39)

37 (11.46)

Alertness

348 (71.46)

86 (52.44)

262 (81.11)

Vasoactive drugs

None

407 (83.57)

121 (73.78)

286 (88.54)

Norepinephrine

53 (10.88)

26 (15.85)

27 (8.36)

20.403

0.000**

Dopamine

5 (1.03)

3 (1.83)

2 (0.62)

Dobutamine

1 (0.21)

1 (0.61)

0 (0.00)

Epinephrine

20 (4.11)

13 (7.93)

7 (2.17)

Epinephrine and dopamine

1 (0.21)

0 (0.00)

1 (0.31)

  1. *P < 0.05 ** P < 0.01.