Literature DB >> 30846277

Association between urinary community-acquired fluoroquinolone-resistant Escherichia coli and neighbourhood antibiotic consumption: a population-based case-control study.

Marcelo Low1, Ami Neuberger2, Thomas M Hooton3, Manfred S Green4, Raul Raz5, Ran D Balicer6, Ronit Almog7.   

Abstract

BACKGROUND: It is unknown whether increased use of antibiotics in a community increases the risk of acquiring antibiotic resistance by individuals living in that community, regardless of prior individual antibiotic consumption and other risk factors for antibiotic resistance.
METHODS: We used a hierarchical multivariate logistic regression approach to evaluate the association between neighbourhood fluoroquinolone consumption and individual risk of colonisation or infection of the urinary tract with fluoroquinolone-resistant Escherichia coli. We did a population-based case-control study of adults (aged ≥22 years) living in 1733 predefined geographical statistical areas (neighbourhoods) in Israel. A multilevel study design was used to analyse data derived from electronic medical records of patients enrolled in the Clalit state-mandated health service.
FINDINGS: 300 105 events with E coli growth and 1 899 168 cultures with no growth were identified from medical records and included in the analysis. 45 427 (16·8%) of 270 190 women and 8835 (29·5%) of 29 915 men had fluoroquinolone-resistant E coli events. We found an independent association between residence in a neighbourhood with higher antibiotic consumption and an increased risk of bacteriuria caused by fluoroquinolone-resistant E coli. Odds ratios (ORs) for the quintiles with higher neighbourhood consumption (compared with the lowest quintile) were 1·15 (95% CI 1·06-1·24), 1·31 (1·20-1·43), 1·41 (1·29-1·54), and 1·51 (1·38-1·65) for women, and 1·17 (1·02-1·35), 1·24 (1·06-1·45), 1·35 (1·15-1·59), and 1·50 (1·26-1·77) for men. Results remained significant when the analysis was restricted to patients who had not consumed fluoroquinolones themselves.
INTERPRETATION: These data suggest that increased use of antibiotics in specific geographical areas is associated with an increased personal risk of acquiring antibiotic-resistant bacteria, independent of personal history of antibiotic consumption and other known risk factors for antimicrobial resistance. FUNDING: None.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30846277     DOI: 10.1016/S1473-3099(18)30676-5

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  8 in total

1.  Unnecessary antibiotic prescribing in a Canadian primary care setting: a descriptive analysis using routinely collected electronic medical record data.

Authors:  Kevin L Schwartz; Bradley J Langford; Nick Daneman; Branson Chen; Kevin A Brown; Warren McIsaac; Karen Tu; Elisa Candido; Jennie Johnstone; Valerie Leung; Jeremiah Hwee; Michael Silverman; Julie H C Wu; Gary Garber
Journal:  CMAJ Open       Date:  2020-05-07

2.  Epidemiology of extended-spectrum β-lactamase-producing Enterobacterales in five US sites participating in the Emerging Infections Program, 2017.

Authors:  Nadezhda Duffy; Maria Karlsson; Hannah E Reses; Davina Campbell; Jonathan Daniels; Richard A Stanton; Sarah J Janelle; Kyle Schutz; Wendy Bamberg; Paulina A Rebolledo; Chris Bower; Rebekah Blakney; Jesse T Jacob; Erin C Phipps; Kristina G Flores; Ghinwa Dumyati; Hannah Kopin; Rebecca Tsay; Marion A Kainer; Daniel Muleta; Benji Byrd-Warner; Julian E Grass; Joseph D Lutgring; J Kamile Rasheed; Christopher A Elkins; Shelley S Magill; Isaac See
Journal:  Infect Control Hosp Epidemiol       Date:  2022-02-14       Impact factor: 6.520

3.  The second-hand effects of antibiotics: communicating the public health risks of drug resistance.

Authors:  B J Langford; N Daneman; V Leung; J H C Wu; K Brown; K L Schwartz; G Garber
Journal:  JAC Antimicrob Resist       Date:  2019-11-05

4.  Antimicrobial resistance associations with national primary care antibiotic stewardship policy: Primary care-based, multilevel analytic study.

Authors:  Ashley Hammond; Bobby Stuijfzand; Matthew B Avison; Alastair D Hay
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

5.  Personal clinical history predicts antibiotic resistance of urinary tract infections.

Authors:  Idan Yelin; Olga Snitser; Gal Novich; Rachel Katz; Ofir Tal; Miriam Parizade; Gabriel Chodick; Gideon Koren; Varda Shalev; Roy Kishony
Journal:  Nat Med       Date:  2019-07-04       Impact factor: 53.440

6.  Antibiotic Overuse After Hospital Discharge: A Multi-hospital Cohort Study.

Authors:  Valerie M Vaughn; Tejal N Gandhi; Vineet Chopra; Lindsay A Petty; Daniel L Giesler; Anurag N Malani; Steven J Bernstein; Lama M Hsaiky; Jason M Pogue; Lisa Dumkow; David Ratz; Elizabeth S McLaughlin; Scott A Flanders
Journal:  Clin Infect Dis       Date:  2021-12-06       Impact factor: 9.079

7.  A 21-Year Survey of Escherichia coli from Bloodstream Infections (BSI) in a Tertiary Hospital Reveals How Community-Hospital Dynamics of B2 Phylogroup Clones Influence Local BSI Rates.

Authors:  Irene Rodríguez; Ana Sofia Figueiredo; Melissa Sousa; Sonia Aracil-Gisbert; Miguel D Fernández-de-Bobadilla; Val F Lanza; Concepción Rodríguez; Javier Zamora; Elena Loza; Patricia Mingo; Claire J Brooks; Rafael Cantón; Fernando Baquero; Teresa M Coque
Journal:  mSphere       Date:  2021-12-22       Impact factor: 4.389

8.  Antibiotic prescriptions and risk factors for antimicrobial resistance in patients hospitalized with urinary tract infection: a matched case-control study using the French health insurance database (SNDS).

Authors:  Marion Opatowski; Christian Brun-Buisson; Mehdi Touat; Jérôme Salomon; Didier Guillemot; Philippe Tuppin; Laurence Watier
Journal:  BMC Infect Dis       Date:  2021-06-14       Impact factor: 3.090

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.