Quantifying patient- and hospital-level antimicrobial resistance dynamics in Staphylococcus aureus from routinely collected data.

IF 2.4 4区 医学 Q3 MICROBIOLOGY
Quentin Leclerc, Alastair Clements, Helen Dunn, James Hatcher, Jodi A Lindsay, Louis Grandjean, Gwenan M Knight
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引用次数: 0

Abstract

Introduction. Antimicrobial resistance (AMR) to all antibiotic classes has been found in the pathogen Staphylococcus aureus. The reported prevalence of these resistances varies, driven by within-host AMR evolution at the patient level, and between-host transmission at the hospital level. Without dense longitudinal sampling, pragmatic analysis of AMR dynamics at multiple levels using routine surveillance data is essential to inform control measures.Gap Statement. The value and limitations of routinely collected hospital data to gain insight into AMR dynamics at the hospital and individual levels simultaneously are unclear.Methodology. We explored S. aureus AMR diversity in 70 000 isolates from a UK paediatric hospital between 2000-2021, using electronic datasets containing multiple routinely collected isolates per patient with phenotypic antibiograms and information on hospitalization and antibiotic consumption.Results. At the hospital level, the proportion of isolates that were meticillin-resistant (MRSA) increased between 2014-2020 from 25-50 %, before sharply decreasing to 30%, likely due to a change in inpatient demographics. Temporal trends in the proportion of isolates resistant to different antibiotics were often correlated in MRSA, but independent in meticillin-susceptible S. aureus. Ciprofloxacin resistance in MRSA decreased from 70-40 % of tested isolates between 2007-2020, likely linked to a national policy to reduce fluoroquinolone usage in 2007. At the patient level, we identified frequent AMR diversity, with 4 % of patients ever positive for S. aureus simultaneously carrying, at some point, multiple isolates with different resistances. We detected changes over time in AMR diversity in 3 % of patients ever positive for S. aureus. These changes equally represented gain and loss of resistance.Conclusion. Within this routinely collected dataset, we found that 65 % of changes in resistance within a patient's S. aureus population could not be explained by antibiotic exposure or between-patient transmission of bacteria, suggesting that within-host evolution via frequent gain and loss of AMR genes may be responsible for these changing AMR profiles. Our study highlights the value of exploring existing routine surveillance data to determine underlying mechanisms of AMR. These insights may substantially improve our understanding of the importance of antibiotic exposure variation, and the success of single S. aureus clones.

从常规收集的数据中量化金黄色葡萄球菌患者和医院水平的抗菌素耐药性动态。
介绍。在金黄色葡萄球菌中发现了对所有抗生素类的耐药性(AMR)。据报道,这些耐药性的流行程度各不相同,这是由患者水平的宿主内AMR演变和医院水平的宿主间传播驱动的。在没有密集的纵向抽样的情况下,利用常规监测数据对多个层面的抗菌素耐药性动态进行实际分析,对于告知控制措施至关重要。差距的声明。常规收集医院数据以同时了解医院和个人层面的抗菌素耐药性动态的价值和局限性尚不清楚。我们研究了2000-2021年间来自英国儿科医院的70000株金黄色葡萄球菌的AMR多样性,使用电子数据集,其中包含每位患者的多个常规收集的分离株,并提供抗生素表型图以及住院和抗生素使用信息。在医院层面,2014-2020年间,耐甲氧西林(MRSA)分离株的比例从25- 50%上升,然后急剧下降至30%,这可能是由于住院患者人口统计数据的变化。对不同抗生素耐药的分离株比例的时间趋势在MRSA中往往是相关的,但在甲氧西林敏感的金黄色葡萄球菌中是独立的。2007年至2020年间,MRSA对环丙沙星的耐药性从测试分离株的70- 40%下降,这可能与2007年减少氟喹诺酮类药物使用的国家政策有关。在患者水平上,我们发现了频繁的AMR多样性,4%的患者在金黄色葡萄球菌阳性的情况下同时携带多种具有不同耐药性的分离株。我们在3%的金黄色葡萄球菌阳性患者中检测到AMR多样性随时间的变化。这些变化同样代表了阻力的增加和减少。在这个常规收集的数据集中,我们发现患者金黄色葡萄球菌群体中65%的耐药性变化不能通过抗生素暴露或患者之间的细菌传播来解释,这表明通过频繁获得和丢失AMR基因的宿主内进化可能是这些变化的AMR谱的原因。我们的研究强调了探索现有常规监测数据以确定AMR潜在机制的价值。这些见解可能会大大提高我们对抗生素暴露变化的重要性的理解,以及单个金黄色葡萄球菌克隆的成功。
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来源期刊
Journal of medical microbiology
Journal of medical microbiology 医学-微生物学
CiteScore
5.50
自引率
3.30%
发文量
143
审稿时长
4.5 months
期刊介绍: Journal of Medical Microbiology provides comprehensive coverage of medical, dental and veterinary microbiology, and infectious diseases. We welcome everything from laboratory research to clinical trials, including bacteriology, virology, mycology and parasitology. We publish articles under the following subject categories: Antimicrobial resistance; Clinical microbiology; Disease, diagnosis and diagnostics; Medical mycology; Molecular and microbial epidemiology; Microbiome and microbial ecology in health; One Health; Pathogenesis, virulence and host response; Prevention, therapy and therapeutics
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