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Table 2 Clinical characteristics and infection risk factors of Haemophilus influenzae with resistance or reduced susceptibility to ciprofloxacin/levofloxacin

From: Microbial virulence, molecular epidemiology and pathogenic factors of fluoroquinolone-resistant Haemophilus influenzae infections in Guangzhou, China

Variablesa

N

Ciprofloxacinc

pd

Susceptible

Decreased susceptibility

Age (years)

 0–14

162 (40.3%)

   

 5–59

110 (27.4%)

   

 ≥ 60

130 (32.3%)

   

Sex

 Male

256 (63.7%)

250 (63.6%)

6 (66.7%)

1.000

 Female

146 (36.3%)

143 (36.3%)

3 (33.3%)

1.000

Prevalent seasons (months)

 3–5

138 (34.3%)

   

 6–8

67 (16.7%)

   

 9–11

54 (13.4%)

   

 12–2

143 (35.6%)

   

Underlying diseases

 Chronic obstructive pulmonary disease

60 (14.9%)

58 (14.7%)

2 (22.2%)

0.626

 Hypertension

70 (17.4%)

68 (17.3%)

2 (22.2%)

1.000

 Diabetes

28 (7.0%)

27 (6.9%)

1 (11.1%)

1.000

 Chronic kidney disease

33 (8.2%)

33 (8.4%)

0 (0%)

1.000b

 Cancers

46 (11.4%)

45 (11.5%)

1 (11.1%)

1.000

 Interstitial lung Disease

14 (3.5%)

1 3(3.3%)

1 (11.1%)

0.732

 Bronchiectasia

27 (6.7%)

   

Causes

 Catch cold or be tired

30 (7.5%)

27 (6.9%)

3 (33.3%)

0.019

 Invasive procedure

27 (6.7%)

24 (6.1%)

3 (33.3%)

0.011

 History of smoking

40 (9.9%)

39 (9.9%)

1 (11.1%)

1.000

Channel of infection

 Community-acquired

372 (92.5%)

   

 Hospital-acquired

30 (7.5%)

   

 Hospitalization during previous 3 months

133 (33.1%)

128 (32.6%)

5 (55.6%)

0.147

 Fluoroquinolones use during previous 3 months

5 (1.2%)

7 (1.8%)

2 (22.2%)

0.003

Antimicrobial use during previous 3 months

 Cephalosporins

 

144 (36.6%)

4 (44.4%)

0.896

 Azithromycin

 

70 (17.8%)

0 (0%)

0.370b

 Piperacillin

 

13 (3.3%)

1 (11.1%)

0.732

 Multidrug resistant strains

 

55 (14.0%)

8 (88.9%)

0.000

  1. a Data are presented as mean ± SD or number of patients (%)
  2. bFisher’s exact test
  3. cNumbers of susceptible and decreased susceptibility are 393 and 9, respectively
  4. dStatistically significant data are in italics