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J T Magee a Department of Medical Microbiology and Public
Health Laboratory, University Hospital of Wales, Cardiff CF14 4XW, b University of Wales
College of Medicine, Cardiff CF14 4XW, c Bro Taf Health Authority, Cardiff
CF1 4TW, d Department of Medical Computing and Statistics, University of
Wales College of Medicine
Correspondence to: A J
Howard tony.howard{at}phls.wales.nhs.uk
We describe a retrospective survey of antibiotic
prescribing in general practitioners' surgeries and resistance to
antibiotics in Wales from March 1996 to April 1998.
Data on the susceptibility to antibiotics of coliform
organisms in routine urine samples taken by general practitioners for diagnosis of urinary tract infections were collected from the Bangor,
Cardiff, and Rhyl Public Health Laboratories and the East Glamorgan,
Prince Charles, and Wrexham Maelor Hospitals. Data on the prescribing
practices of surgeries were obtained from the Welsh Prescription
Pricing Service. Rates of prescribing (the number of prescriptions/1000
patients per year) and resistance rates (which excluded multiple
isolates of organisms with the same susceptibility from the same
patient) were calculated for each surgery. The use of broad spectrum
penicillin formulations without a Resistance rates for surgeries which were based on fewer than 50 isolates were excluded, leaving data on about 30 000 isolates from 190 general practitioner surgeries serving about 1 200 000 patients. We
sought to identify the effects of bias caused by the selective
submission of urine samples by examining the relation between
resistance rates and sampling (number of urine specimens/1000 registered patients) and the relation between positivity (number of
coliform isolates/100 samples or 1000 registered patients) and
prescribing or sampling.
The use of antibiotics and rates of resistance to antibiotics varied
between surgeries; the correlation between the prescribing of an
antibiotic and resistance to the same antibiotic was often significant
(table). The correlation was also significant between the use of
amoxicillin and resistance to trimethoprim and vice versa.
Combined resistance to ampicillin and trimethoprim occurred in 21%
(6782/32 532) of isolates and was significantly associated with the
use of both trimethoprim and amoxicillin (P<0.001). The correlation
between the use of amoxicillin and resistance to trimethoprim and vice
versa was lost when strains exhibiting combined resistance to both
agents were removed from the
analysis.
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Methods and results
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Methods and results
Comment
References
lactamase inhibitor (such as
ampicillin and amoxicillin) was estimated by subtracting the number of
prescriptions for co-amoxiclav from the total number of prescriptions
for all other broad spectrum penicillins. We use the term amoxicillin
below to refer to these broad spectrum penicillins without a
lactamase inhibitor.
There was no significant correlation between antibiotic use and the
number of urine specimens submitted for testing per 1000 registered
patients or the number of coliform isolates in urine samples per 1000 registered patients. The number of isolates per 1000 registered
patients correlated linearly with the number of urine specimens
submitted per 1000 registered patients (P=0.001, rs=0.9585).
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Comment |
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The results show that there is a correlation between antibiotic resistance in coliform organisms in urine samples and the use of antibiotics by a general practice. This is the first survey to suggest that geographically localised effects from antibiotic use occur in communities.
The dynamics of the emergence, spread, and maintenance of antibiotic resistance in populations are still unclear.1 Much of the prescribing described here is likely to have been related to treatment of respiratory infections, and this may have been an important factor in determining the observed resistance. Resistance could be occurring through the prior selection of antibiotic resistant coliform organisms in the faecal flora2 of patients presenting with urinary infections or by transmission of such organisms by others in the community.
Coselection of resistance to trimethoprim and ampicillin is explainable. Transmissible plasmids that code for combined resistance to ampicillin and trimethoprim are common in Escherichia coli3; therefore, selection pressure for resistance to one of these antibiotics is likely to select for resistance to the other.
The association between prescribing and resistance could have been caused by sampling bias if practices that had high rates of prescribing antibiotics were more selective in submitting samples for analysis, reserving testing for cases of treatment failure or complicated urological problems. In such cases it is likely that increased resistance would have been associated with lower rates of sampling. This was not observed. Few of the species of the coliform isolates were identified. Most were probably Escherichia coli, and it is unlikely that the small proportion of other coliform organisms (which often show broader resistance to antibiotics) would vary significantly between practices and be associated only with surgeries with high rates of prescribing. Other confounding variables may explain the observed correlations but it seems probable that the relations reflect a causal Darwinian association between prescribing and resistance.
These findings bring the debate on prescribing in the community from
the national to the local level and provide preliminary evidence that
practitioners may have to face the broader consequences of their
antibiotic prescribing among their own patients.
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Acknowledgments |
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We thank the staff of the laboratories involved; the staff of the Prescription Pricing Authority; Drs Hefin Jones and Idris Humphreys, chairmen of the local medical committees, who gave permission for us to access the prescribing data; David Myles, University of Wales College of Medicine, for computing support; and David Livermore for his constructive comments.
Contributors: AJH conceived the original idea for the study, obtained approval for the collection of data, critically edited the paper, and gave final approval for it. AJH is guarantor for the study. JTM compiled and analysed the data, programmed the analysis macros, and drafted and edited the paper. ELP performed the pilot study, providing the impetus to proceed, and manually processed data that were invaluable in checking the validity of programs. KAF obtained the prescribing data and provided pharmaceutical advice. FDJD provided statistical guidance and checked the results. ELP, KAF, and FDJD participated in editing the paper.
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Footnotes |
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Funding: Public Health Laboratory Service.
Competing interests: None declared.
website extra: A complete list of the members of the study group appears on the BMJ's website www.bmj.com
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References |
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| 1. | Standing Medical Advisory Committee, Sub-Group on Antimicrobial Resistance. The path of least resistance. London: Stationery Office, 1998. |
| 2. |
London N, Nijsten R, Mertens P, van der Bogaard A, Sotobberingh E.
Effect of antibiotic therapy on the antibiotic resistance of faecal Escherichia coli in patients attending general practitioners.
J Antimicrob Chemother
1994;
34:
239-246 |
| 3. |
Amyes SGB.
The success of plasmid-encoded resistance genes in clinical bacteria an examination of plasmid-mediated ampicillin and trimethoprim resistance genes and their resistance mechanisms.
J Med Microbiol
1989;
28:
73-83 |
(Accepted 19 July 1999)
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