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- Title
Modeling the risk of fluoroquinolone resistance in non-severe community-onset pyelonephritis.
- Authors
Leforestier, Antoine; Vibet, Marie-Anne; Gentet, Nicolas; Javaudin, François; Le Bastard, Quentin; Montassier, Emmanuel; Batard, Eric
- Abstract
Estimating whether the individual probability of being infected by a fluoroquinolone resistant isolate is higher than 10% may help to choose the empirical treatment of pyelonephritis. We aimed to model the risk of fluoroquinolone resistance in women with community-onset pyelonephritis. Women with non-severe community-onset pyelonephritis were prospectively recruited in 4 French emergency departments of 2 districts. Adjusted odds ratios (aOR) and 95% confidence intervals were estimated through multivariate logistic regression. Among 190 patients, 19 (10%) were infected by a fluoroquinolone resistant isolate. Fluoroquinolone resistance was more frequent in district #2 (17%) than in district #1 (3%). Independent risk factors for fluoroquinolone resistance were district (adjusted OR, 7.0 (2.2–31.9)), and in the 6 previous months, urinary tract infection (UTI, aOR, 3.9 (1.3–11.5)) and vesical catheterization (aOR, 4.7 (0.5–33.3)). A specific model was derived to identify district #2 patients with a low (10% or lower) probability of being infected by a fluoroquinolone resistant isolate. Independent risk factors were residency in long-term care facility (aOR, 3.3 (0.7–13.5)), and in the 6 previous months, UTI (adjusted OR, 3.1 (0.9–10.7)) and home nursing care (aOR, 3.4 (0.6–17.0)). For 63 (67%) patients, the predicted probability of fluoroquinolone resistance was 0.10; among these patients, 6 (10%) actually had a fluoroquinolone resistant isolate. Locally derived predictive models may be used to identify patients with a low probability of fluoroquinolone resistance and guide the empirical antimicrobial therapy of non-severe community-onset pyelonephritis.
- Subjects
URINARY tract infections; NURSING home care; LONG-term care facilities; HIV-positive children; PYELONEPHRITIS; LOGISTIC regression analysis; ODDS ratio
- Publication
European Journal of Clinical Microbiology & Infectious Diseases, 2020, Vol 39, Issue 6, p1123
- ISSN
0934-9723
- Publication type
Article
- DOI
10.1007/s10096-020-03830-x