期刊
EUROSURVEILLANCE
卷 24, 期 37, 页码 6-16出版社
EUR CENTRE DIS PREVENTION & CONTROL
DOI: 10.2807/1560-7917.ES.2019.24.37.1800497
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资金
- Region Vastra Gotaland [ALFGBG-428382, ALFGBG-717901]
- Swedish Research Council FORMAS [219-2014-1575, 2018-00833]
- Centre for Antibiotic Resistance Research at University of Gothenburg
- Swedish Research Council VR [2015-02492]
- Adlerbert Research Foundation
- Formas [2018-00833] Funding Source: Formas
- Swedish Research Council [2015-02492, 2018-00833] Funding Source: Swedish Research Council
Introduction: The occurrence of antibiotic resistance in faecal bacteria in sewage is likely to reflect the current local clinical resistance situation. Aim: This observational study investigated the relationship between Escherichia coli resistance rates in sewage and clinical samples representing the same human populations. Methods: E. coli were isolated from eight hospital (n=721 isolates) and six municipal (n=531 isolates) sewage samples, over 1year in Gothenburg, Sweden. An inexpensive broth screening method was validated against disk diffusion and applied to determine resistance against 11 antibiotics in sewage isolates. Resistance data on E. coli isolated from clinical samples from corresponding local hospital and primary care patients were collected during the same year and compared with those of the sewage isolates by linear regression. Results: E. coli resistance rates derived from hospital sewage and hospital patients strongly correlated (r(2) = 0.95 for urine and 0.89 for blood samples), as did resistance rates in E. coli from municipal sewage and primary care urine samples (r(2)=0.82). Resistance rates in hospital sewage isolates were close to those in hospital clinical isolates while resistance rates in municipal sewage isolates were about half of those measured in primary care isolates. Resistance rates in municipal sewage isolates were more stable between sampling occasions than those from hospital sewage. Conclusion: Our findings provide support for development of a low-cost, sewage-based surveillance system for antibiotic resistance in E. coli, which could complement current monitoring systems and provide clinically relevant antibiotic resistance data for countries and regions where surveillance is lacking.
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