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Observational Study
. 2018 Oct;18(10):1138-1149.
doi: 10.1016/S1473-3099(18)30353-0. Epub 2018 Aug 17.

Trends over time in Escherichia coli bloodstream infections, urinary tract infections, and antibiotic susceptibilities in Oxfordshire, UK, 1998-2016: a study of electronic health records

Affiliations
Observational Study

Trends over time in Escherichia coli bloodstream infections, urinary tract infections, and antibiotic susceptibilities in Oxfordshire, UK, 1998-2016: a study of electronic health records

Karina-Doris Vihta et al. Lancet Infect Dis. 2018 Oct.

Abstract

Background: Escherichia coli bloodstream infections are increasing in the UK and internationally. The evidence base to guide interventions against this major public health concern is small. We aimed to investigate possible drivers of changes in the incidence of E coli bloodstream infection and antibiotic susceptibilities in Oxfordshire, UK, over the past two decades, while stratifying for time since hospital exposure.

Methods: In this observational study, we used all available data on E coli bloodstream infections and E coli urinary tract infections (UTIs) from one UK region (Oxfordshire) using anonymised linked microbiological data and hospital electronic health records from the Infections in Oxfordshire Research Database (IORD). We estimated the incidence of infections across a two decade period and the annual incidence rate ratio (aIRR) in 2016. We modelled the data using negative binomial regression on the basis of microbiological, clinical, and health-care-exposure risk factors. We investigated infection severity, 30-day all-cause mortality, and community and hospital amoxicillin plus clavulanic acid (co-amoxiclav) use to estimate changes in bacterial virulence and the effect of antimicrobial resistance on incidence.

Findings: From Jan 1, 1998, to Dec 31, 2016, 5706 E coli bloodstream infections occurred in 5215 patients, and 228 376 E coli UTIs occurred in 137 075 patients. 1365 (24%) E coli bloodstream infections were nosocomial (onset >48 h after hospital admission), 1132 (20%) were quasi-nosocomial (≤30 days after discharge), 1346 (24%) were quasi-community (31-365 days after discharge), and 1863 (33%) were community (>365 days after hospital discharge). The overall incidence increased year on year (aIRR 1·06, 95% CI 1·05-1·06). In 2016, 212 (41%) of 515 E coli bloodstream infections and 3921 (28%) of 13 792 E coli UTIs were co-amoxiclav resistant. Increases in E coli bloodstream infections were driven by increases in community (aIRR 1·10, 95% CI 1·07-1·13; p<0·0001) and quasi-community (aIRR 1·08, 1·07-1·10; p<0·0001) cases. 30-day mortality associated with E coli bloodstream infection decreased over time in the nosocomial (adjusted rate ratio [RR] 0·98, 95% CI 0·96-1·00; p=0·03) group, and remained stable in the quasi-nosocomial (adjusted RR 0·98, 0·95-1·00; p=0·06), quasi-community (adjusted RR 0·99, 0·96-1·01; p=0·32), and community (adjusted RR 0·99, 0·96-1·01; p=0·21) groups. Mortality was, however, substantial at 14-25% across all hospital-exposure groups. Co-amoxiclav-resistant E coli bloodstream infections increased in all groups across the study period (by 11-18% per year, significantly faster than co-amoxiclav-susceptible E coli bloodstream infections; pheterogeneity<0·0001), as did co-amoxiclav-resistant E coli UTIs (by 14-29% per year; pheterogeneity<0·0001). Previous year co-amoxiclav use in primary-care facilities was associated with increased subsequent year community co-amoxiclav-resistant E coli UTIs (p=0·003).

Interpretation: Increases in E coli bloodstream infections in Oxfordshire are primarily community associated, with substantial co-amoxiclav resistance; nevertheless, we found little or no change in mortality. Focusing interventions on primary care facilities, particularly those with high co-amoxiclav use, could be effective in reducing the incidence of co-amoxiclav-resistant E coli bloodstream infections, in this region and more generally.

Funding: National Institute for Health Research.

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Conflict of interest statement

Conflicts of interest

Dr. Peto reports grants from Wellcome Trust, grants from Medical Reserach Council, during the conduct of the study. All other authors report no conflicts of interest.

Figures

Figure 1
Figure 1. Monthly (A) EC-BSI and (B) EC-UTI according to recent hospital-exposure (first and recurrent infections).
Footnote: only counting EC-BSI recurrences occurring >14 days after an index positive, and EC-UTI recurrences occurring >90 days after an index positive. Thick blue line represents the estimated incidence by iterative sequential regression (ISR). Blue lines at the base of the graph represent 95% CI around the breakpoints estimated by the ISR model. IRR=annual incidence rate ratio in 2016, that is the relative increase in rate per year as estimated in 2016.
Figure 2
Figure 2. Summary of incidence trends in 2016 for (A) EC-BSIs, (B) EC-UTIs, and (C) severity of co-amoxiclav resistant and sensitive EC-BSIs.
Footnote: IRR=annual incidence rate ratio in 2016, that is the relative increase in rate per year as estimated in 2016. See Supplementary Table 1 for numbers and heterogeneity tests.
Figure 3
Figure 3. Annual EC-BSI according to recent hospital-exposure and urine sample submission/results.
Footnote: See Supplementary Methods for definitions.
Figure 4
Figure 4. Annual EC-BSI susceptible and resistant to co-amoxiclav, with and without resistance to gentamicin and ciprofloxacin, according to recent hospital-exposure.
Footnote: IRR=annual incidence rate ratio in 2016, that is the relative increase in rate per year as estimated in 2016.
Figure 5
Figure 5. Community co-amoxiclav-resistant EC-UTIs (A), community EC-UTIs (B) and community urine samples submitted regardless of result (C) per 1000 patients per primary-care facility 2012-2016 compared with co-amoxiclav usage.
Footnote: showing one record per year per primary-care facility. For (A) the strongest predictor was co-amoxiclav DDD per 1000 patients per general practice in the previous year; for (B) and (C) the strongest predictor was co-amoxiclav DDD per 1000 patients per general practice in the current year. Spearman rho (and models) for each panel excludes 5 facilities which submitted less than 151 samples over 2011-2016 (all others submitted over 300). Spearman rho for univariable associations with previous vs current co-amoxiclav usage for the 3 outcomes left to right ρ=0.20 vs ρ=0.04, ρ=0.33 vs ρ=0.35, ρ=0.37 vs ρ=0.40 respectively.

Comment in

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