Table 3 Bivariate and Multivariable logistic regression analysis for predicting the independent contribution of potential predictors of antimicrobial resistance among patients with UTIS

Hospital acquired UTI(N = 220)

5.3

(3.2-9)

P < 0.001*

5.7

(3.058–10.76)

P < 0.001*

Female(N = 218)

1.3

(0.83–2.14)

0.236

Age:≥60(N = 101)

2.7

(1.4–5.22)

0.003*

2.9

(1.266–6.720)

0.012*

Tumor:(N = 108)

2

(1.11–3.64)

0.021*

Stones:(N = 164)

1.8

(1.09–2.82)

0.021*

Diabetes mellitus:(N = 88)

8.3

(2.9–23.4)

P < 0.001*

3.8

(1.243–11.837)

0.019*

Abnormal structure of urinary tract:(N = 81)

0.9

(0.5–1.56)

0.663

Use of urinary catheter:(N = 190)

1.6

(0.96–2.5)

0.072

Recurrent UTI: (N = 246)

6.7

(3.9-11.25)

P < 0.001*

2.6

(1.083–6.202)

0.033*

Continuous stay in hospital:≥15 days(N = 73)

2.4

(1.15–5.1)

0.020*

Previous use of antibiotics within last three months:(N = 284)

9.3

(5.5-15.87)

P < 0.001*

5.2

(2.186–12.307)

P < 0.001*

PCNL:(N = 121)

1.9

(1.19–3.18)

0.008*