| Literature DB >> 34394300 |
Ertugrul Guclu1, Fikret Halis2, Elif Kose3, Aziz Ogutlu1, Oğuz Karabay1.
Abstract
BACKGROUND: Urinary tract infections (UTIs) are one of the most seen infection among community.Entities:
Keywords: Urinary tract infection; advanced age; community acquired; male; multidrug-resistant; multiple antibiotic usage
Mesh:
Substances:
Year: 2021 PMID: 34394300 PMCID: PMC8356627 DOI: 10.4314/ahs.v21i1.28
Source DB: PubMed Journal: Afr Health Sci ISSN: 1680-6905 Impact factor: 0.927
The distribution of bacteria by gender
| Bacteria | Male | Female | P value |
|
| 72 (61.5) | 94 (76.4) | 0.01 |
|
| 21 (17.9) | 15 (12.2) | 0.21 |
|
| 5 (4.3) | 6 (4.9) | 0.82 |
|
| 5 (4.3) | 4 (3.3) | 0.93 |
|
| 6 (5.1) | 2 (1.6) | 0.24 |
|
| 9 (7.7) | 2 (1.6) | 0.05 |
Risk factors of patients for MDR bacteria related urinary tract infections according to characteristics of patients
| Characteristics of patients | Non-multidrug resistant group | Multidrug resis | P value |
|
| 48 (43.2) | 69 (53.5) | 0.113 |
|
| 45 (40.5) | 61 (47.3) | 0.29 |
|
| 33 (29.7) | 67 (51.9) |
|
|
| 61 (55) | 86 (66.7) | 0.063 |
|
| 30 (27.0) | 50 (38.8) | 0.055 |
|
| 8 (7.2) | 18 (14) | 0.094 |
|
| 24 (21.6) | 30 (23.3) | 0.762 |
|
| 9 | 12 | 0.74 |
|
| 12 (10.8) | 25 (19.4) | 0,067 |
|
| 2 | 9 | 0.10 |
|
| 23 | 38 | 0.12 |
Examination of MDR bacterial urinary tract infections by binary logistic regression analysis according to history of AB use, age, and some other characteristics
| Features | β | S.E | Wald | p | Exp(β) | 95% CI for EXP(B) | |
| Lower | Upper | ||||||
|
| Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. |
|
| Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. |
|
| Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. |
|
| Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. |
|
| -1.611 | 0.593 | 7.384 | 0.007 | 0.200 | 0.062 | 0.638 |
|
| -0.764 | 0.286 | 7.158 | 0.007 | 0.466 | ||