Projects per year
Objectives: To characterise risk factors for antibiotic resistant community urine isolates using routine record linked health data.
Methods: Within the National Health Service Scotland Infection Intelligence Platform, national surveillance patient-level data on community urine isolates (January 2012-June 30 2015) were linked to hospital activity and community prescribing data. Associations between age, gender, comorbidity, care home residence, previous hospitalisations, antibiotic exposure, and resistant (any antibiotic) or MDR (≥1 antibiotic from ≥3 categories) urinary isolates were quantified using multivariable logistic regression.
Results: Of 40,984 isolates, 28% were susceptible, 45% resistant, and 27% MDR. Exposure to ≥ 4 different antibiotics in the prior six months increased MDR risk, OR 6.81 (95%CI 5.73-36 8.11). MDR was associated with ≥29 DDD cumulative exposure, in the prior six months, for any antibiotic (OR 6.54, 95%CI 5.88-7.27), nitrofurantoin (OR 8.56, 95%CI 6.56-11.18) and trimethoprim (OR 14.61, 95%CI10.53-20.27). Associations persisted for 10-12 months for nitrofurantoin (OR 2.31, 95%CI 1.93-2.76) and trimethoprim (OR 1.81, 95%CI 1.57-2.09). Increasing age, comorbidity, previous hospitalisation and care home residence were independently associated with MDR. For resistant isolates the factors were the same but with weaker associations.
Conclusion: We have demonstrated, using national capability at scale, the risk of MDR in community urine isolates for the first time and quantified the cumulative and sustained impact of antibiotic exposure. These data will inform the development of decision support tools for UTI treatment.
- Antibiotic resistance
- Decision support systems
- Urinary tract infection
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- 2 Finished
Understanding and Improving Antimicrobial Prescribing in Care Homes: A Multidisciplinary Approach (Joint with City University, London, University College London and Queen's University, Belfast) (AMR Large Collaborative Grant)
1/10/17 → 30/06/22
The Scottish eHealth Informatics Research Centre (E-HIRCs) (Joint with Universities of Aberdeen, Glasgow, Edinburgh, Strathclyde, St Andrews & Leicester and ISD)
1/03/13 → 31/12/18