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抗生素耐药性:位置,位置,还是位置。

Antibiotic resistance: location, location, location.

作者信息

Livermore D M, Pearson A

机构信息

Antibiotic Resistance Monitoring and Reference Laboratory, Centre for Infections, Health Protection Agency, 61 Colindale Avenue, London, UK.

出版信息

Clin Microbiol Infect. 2007 Jun;13 Suppl 2:7-16. doi: 10.1111/j.1469-0691.2007.01724.x.

DOI:10.1111/j.1469-0691.2007.01724.x
PMID:17488371
Abstract

Antibiotic resistance surveys are published widely, citing percentage resistance rates, sometimes for vast transcontinental regions. Such data seem straightforward, but when one drills deeper, great complexity emerges. Rates for methicillin resistance among Staphylococcus aureus from bacteraemias vary from <1% to 50% among European countries, and vary greatly among both hospitals and hospital units. Methicillin-resistant S. aureus (MRSA) resistance rates are typically higher for tertiary-care hospitals and intensive care units than in general hospitals and wards, and lowest in single specialist centres. The likelihood of resistance also varies according to patient characteristics: those patients from nursing homes and with underlying disease, recent antibiotic treatment and hospitalisation are more likely to harbour resistant pathogens. Percentage rates themselves also may be misleading; they may be high only because the denominator is small or inaccurate; i.e., resistance may be common but the pathogen rare. Measures of disease burden-cases per 1000 bed-days or per 10(5) individuals-overcome this deficiency but are harder to collect, influenced by case mix, and associated with other problems: how to count part days or infections acquired elsewhere; most important, are all cases captured? National or international resistance statistics may illustrate trends and provide benchmarks, but for patient management, good local data are essential. Which units are most affected? Are the resistant infections locally acquired or imported with transferred patients? Are the resistant isolates clonal, indicating cross-infection, or diverse, indicating repeated selection or reflecting antibiotic policy? Unless these aspects of infection are considered, interventions to reduce resistance may be misdirected.

摘要

抗生素耐药性调查广泛发布,列出了耐药率百分比,有时涉及广大的跨洲区域。此类数据看似简单直接,但深入探究后,就会发现其中存在很大的复杂性。欧洲各国因菌血症导致的金黄色葡萄球菌对甲氧西林的耐药率从低于1%到50%不等,在医院和医院科室之间也存在很大差异。三级护理医院和重症监护病房的耐甲氧西林金黄色葡萄球菌(MRSA)耐药率通常高于综合医院和病房,在单一专科中心最低。耐药的可能性也因患者特征而异:来自养老院、患有基础疾病、近期接受过抗生素治疗和住院的患者携带耐药病原体的可能性更大。百分比本身也可能产生误导;它们可能很高仅仅是因为分母很小或不准确;也就是说,耐药情况可能很常见,但病原体很罕见。疾病负担衡量指标——每1000个床日或每10(5)个人中的病例数——克服了这一缺陷,但更难收集,受病例组合影响,并且还存在其他问题:如何计算部分天数或在其他地方获得的感染;最重要的是,所有病例都被记录下来了吗?国家或国际耐药性统计数据可以说明趋势并提供基准,但对于患者管理而言,良好的本地数据至关重要。哪些科室受影响最大?耐药感染是本地获得的还是随着转院患者输入的?耐药菌株是克隆性的,表明存在交叉感染,还是多样的,表明是反复选择或反映了抗生素政策?除非考虑到感染的这些方面,否则减少耐药性的干预措施可能会被误导。

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