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Title of the publicationImprovement of gram-negative susceptibility to fluoroquinolones after implementation of a pre-authorization policy for fluoroquinolone use: A decade-long experience
Abstract

Objective
Due to concerns over increasing fluoroquinolone (FQ) resistance among gram-negative organisms, our stewardship program implemented a preauthorization use policy. The goal of this study was to assess the relationship between hospital FQ use and antibiotic resistance.

Design
Retrospective cohort.

Setting
Large academic medical center.

Methods
We performed a retrospective analysis of FQ susceptibility of hospital isolates for 5 common gram-negative bacteria: Acinetobacter spp., Enterobacter cloacae, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa. Primary endpoint was the change of FQ susceptibility. A Poisson regression model was used to calculate the rate of change between the preintervention period (1998–2005) and the postimplementation period (2006–2016).

Results
Large rates of decline of FQ susceptibility began in 1998, particularly among P. aeruginosa, Acinetobacter spp., and E. cloacae. Our FQ restriction policy improved FQ use from 173 days of therapy (DOT) per 1,000 patient days to <60 DOT per 1,000 patient days. Fluoroquinolone susceptibility increased for Acinetobacter spp. (rate ratio [RR], 1.038; 95% confidence interval [CI], 1.005–1.072), E. cloacae (RR, 1.028; 95% CI, 1.013–1.044), and P. aeruginosa (RR, 1.013; 95% CI, 1.006–1.020). No significant change in susceptibility was detected for K. pneumoniae (RR, 1.002; 95% CI, 0.996–1.008), and the susceptibility for E. coli continued to decline, although the decline was not as steep (RR, 0.981; 95% CI, 0.975–0.987).

Conclusions
A stewardship-driven FQ restriction program stopped overall declining FQ susceptibility rates for all species except E. coli. For 3 species (ie, Acinetobacter spp, E. cloacae, and P. aeruginosa), susceptibility rates improved after implementation, and this improvement has been sustained over a 10-year period.

DOIhttps://doi.org/10.1017/ice.2018.245
Name of the first authorLee, Rachael A.
Year of publication2018
Study design of the publicationOther study design
If other study design, please specifyretrospective before after quasi experimental study
Method for data collection and analysis
  • Quantitative data - Quantitative data were used during the intervention
Quantitative data - Quantitative data were used during the intervention
Sector
  • Human - All activities regarding organisations and individuals involved in health products and services
Sub-sectorSub-sectors are further units of demarcation within a sector E.g. awareness campaign from veterinarians to cat owners about toxoplasmosis drug resistance and transmission of resistant bacteria: ANIMAL, PETS
Subsector (human)
  • Healthcare delivery
Healthcare delivery