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Table 2 Univariate analyses on potential risk factors associated with HAIs in 2018 and 2019

From: Developing a framework for identifying risk factors and estimating direct economic disease burden attributable to healthcare-associated infections: a case study of a Chinese Tuberculosis hospital

Year

Potential risk factors

TB hospitalized patients with HAIs

TB hospitalized patients without HAIs

χ2

P

N (%)

2018

Gender

Male

40 (90.91)

6413 (62.82)

14.82

 < 0.01*

Female

4 (9.09)

3796 (37.18)

  

Age

 > 60 years

18 (40.91)

2512 (24.61)

6.26

0.012*

 ≤ 60 years

26 (59.09)

7697 (75.39)

  

Invasive procedure

Yes

12 (27.27)

492 (4.82)

 < 0.01*

No

32 (72.73)

9717 (95.18)

  

Length of hospitalization

 > 15 days

32 (72.73)

1639 (16.05)

103.15

 < 0.01*

 ≤ 15 days

12 (27.27)

8570 (83.95)

  

Diabetes mellitus

Yes

5 (11.36)

1293 (12.67)

0.07

0.796

No

39 (88.64)

8916 (87.33)

  

Underlying disease

Yes

11 (25.00)

2272 (22.25)

0.19

0.662

No

33 (75.00)

7937 (77.75)

  

Use of antibiotics

Yes

40 (90.91)

5095 (49.91)

29.46

 < 0.01*

No

4 (9.09)

5114 (50.09)

  

2019

Gender

Male

27 (79.41)

6760 (62.24)

4.26

0.039*

Female

7 (20.59)

4101 (37.76)

  

Age

 > 60 years

13 (38.24)

2685 (24.72)

3.32

0.068

 ≤ 60 years

21 (61.76)

8176 (75.28)

  

Invasive procedure

Yes

7 (20.59)

659 (6.07)

0.004*

No

27 (79.41)

10,202 (93.93)

  

Length of hospitalization

 > 15 days

30 (88.24)

1660 (15.28)

137.64

 < 0.01*

 ≤ 15 days

4 (11.76)

9201 (84.72)

  

Diabetes mellitus

Yes

7 (20.59)

1743 (16.05)

0.52

0.472

No

27 (79.41)

9118 (83.95)

  

Underlying disease

Yes

7(20.59)

2580 (23.75)

0.19

0.665

No

27 (79.41)

8281 (76.25)

  

Use of antibiotics

Yes

33 (97.06)

5180 (47.69)

33.10

 < 0.01*

No

1 (2.94)

5681 (52.31)

  
  1. * means a statistical significance (P<0.05)