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. 2007 Oct;51(10):3491-7.
doi: 10.1128/AAC.01581-06. Epub 2007 Aug 6.

Risk factors for development of multiple-class resistance to Streptococcus pneumoniae Strains in Belgium over a 10-year period: antimicrobial consumption, population density, and geographic location

Johan Van Eldere  1 , Robertino M Mera, Linda A Miller, James A Poupard, Heather Amrine-Madsen
Affiliations

Risk factors for development of multiple-class resistance to Streptococcus pneumoniae Strains in Belgium over a 10-year period: antimicrobial consumption, population density, and geographic location

Johan Van Eldere et al. Antimicrob Agents Chemother. 2007 Oct.

Abstract

We investigated the impact of the usage of antibiotics in ambulatory patients in Belgium in 147 defined geographical circumscriptions and at the individual isolate level. The study included 14,448 Streptococcus pneumoniae strains collected by the Belgium national reference lab from 1994 to 2004. Additional risk factors for resistance, such as population density/structure and day care attendance, were investigated for the same time-space window. A statistical model that included resistance to two or more antimicrobial classes offered the best fit for measuring the changes in nonsusceptibility to penicillin, macrolides, and tetracycline over time and place in Belgium. Analysis at the geographic level identified antimicrobial consumption with a 1-year lag (0.5% increase per additional defined daily dose) and population density as independent predictors of multiple resistance. Independent risk factors at the isolate level were age (odds ratio [OR], 1.55 for children aged <5 years), population density (7% increase in multiple resistance per 100 inhabitants/km(2)), conjugate 7-valent vaccine serotype (OR, 14.3), location (OR, 1.55 for regions bordering high-resistance France), and isolate source (OR, 1.54 for ear isolates). The expansion of multiple-resistant strains explains most of the overall twofold increase and subsequent decrease in single antimicrobial resistance between 1994 and 2004. We conclude that factors in addition to antibiotic use, such as high population density and proximity to high-resistance regions, favor multiple resistance. Regional resistance rates are not linearly related to actual antibiotic use but are linked to past antibiotic use plus a combination of demographic and geographic factors.

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Figures

FIG. 1.
FIG. 1.
Single- and multiple-class resistance in Belgium.
FIG. 2.
FIG. 2.
Resistance to just one and two or more antibiotics in Belgium.
FIG. 3.
FIG. 3.
Prevalence rate of multiple-class resistance in Belgium by province and postal code.
FIG. 4.
FIG. 4.
Antimicrobial consumption in Belgium by year.
FIG. 5.
FIG. 5.
Total antimicrobial consumption by province, 2004.
See this image and copyright information in PMC

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