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A spatial approach for the epidemiology of antibiotic use and resistance in community-based studies: the emergence of urban clusters of Escherichia coli quinolone resistance in São Paulo, Brasil

机译:一种基于社区的研究中抗生素使用和耐药性流行病学的空间方法:巴西圣保罗的大肠杆菌喹诺酮耐药性城市群的出现

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摘要

Background: Population antimicrobial use may influence resistance emergence. Resistance is an ecological phenomenon due to potential transmissibility. We investigated spatial and temporal patterns of ciprofloxacin (CIP) population consumption related to E. coli resistance emergence and dissemination in a major Brazilian city. A total of 4,372 urinary tract infection E. coli cases, with 723 CIP resistant, were identified in 2002 from two outpatient centres. Cases were address geocoded in a digital map. Raw CIP consumption data was transformed into usage density in DDDs by CIP selling points influence zones determination. A stochastic model coupled with a Geographical Information System was applied for relating resistance and usage density and for detecting city areas of high/low resistance risk.Results: E. coli CIP resistant cluster emergence was detected and significantly related to usage density at a level of 5 to 9 CIP DDDs. There were clustered hot-spots and a significant global spatial variation in the residual resistance risk after allowing for usage density.Conclusions: There were clustered hot-spots and a significant global spatial variation in the residual resistance risk after allowing for usage density. the usage density of 5-9 CIP DDDs per 1,000 inhabitants within the same influence zone was the resistance triggering level. This level led to E. coli resistance clustering, proving that individual resistance emergence and dissemination was affected by antimicrobial population consumption.
机译:背景:人群使用抗菌药物可能会影响耐药性的出现。由于潜在的传播能力,抗性是一种生态现象。我们调查了巴西主要城市与大肠杆菌耐药性出现和传播有关的环丙沙星(CIP)人群消费的时空格局。 2002年,从两个门诊中心总共发现了4,372例尿路感染大肠杆菌病例,其中723例CIP耐药。在数字地图中对案例进行地址编码。通过CIP卖点影响区域的确定,将原始CIP消费数据转换为DDD中的使用密度。随机模型与地理信息系统相结合,用于关联耐药性和使用密度,并检测高/低耐药风险的城市地区。结果:检测到大肠杆菌CIP耐药簇出现,并且与使用密度显着相关。 5到9个CIP DDD。在考虑使用密度后,热点存在聚类热点,且残留电阻风险存在显着的全局空间变化。结论:在考虑使用密度后,存在热点存在聚类热点,残留电阻风险具有显着的全局空间变化。在同一影响区内,每1,000名居民5-9个CIP DDD的使用密度为阻力触发水平。该水平导致大肠杆菌耐药性聚集,证明了个体耐药性的产生和传播受到抗菌药物消费的影响。

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