Sundqvist Martin, Granholm Susanne, Naseer Umaer, Rydén Patrik, Brolund Alma, Sundsfjord Arnfinn, Kahlmeter Gunnar, Johansson Anders
Department of Clinical Microbiology, Central Hospital, Växjö, Sweden Department of Medical Sciences, Division of Infectious Diseases, Uppsala University, Uppsala, Sweden.
The Laboratory for Molecular Infection Medicine Sweden, Department of Clinical Microbiology, Umeå University, Umeå, Sweden.
Antimicrob Agents Chemother. 2014 Dec;58(12):7492-500. doi: 10.1128/AAC.03228-14. Epub 2014 Oct 6.
A 2-year prospective intervention on the prescription of trimethoprim reduced the use by 85% in a health care region with 178,000 inhabitants. Here, we performed before-and-after analyses of the within-population distribution of trimethoprim resistance in Escherichia coli. Phylogenetic and population genetic methods were applied to multilocus sequence typing data of 548 consecutively collected E. coli isolates from clinical urinary specimens. Results were analyzed in relation to antibiotic susceptibility and the presence and genomic location of different trimethoprim resistance gene classes. A total of 163 E. coli sequence types (STs) were identified, of which 68 were previously undescribed. The isolates fell into one of three distinct genetic clusters designated BAPS 1 (E. coli phylogroup B2), BAPS 2 (phylogroup A and B1), and BAPS 3 (phylogroup D), each with a similar frequency before and after the intervention. BAPS 2 and BAPS 3 were positively and BAPS 1 was negatively associated with trimethoprim resistance (odds ratios of 1.97, 3.17, and 0.26, respectively). In before-and-after analyses, trimethoprim resistance frequency increased in BAPS 1 and decreased in BAPS 2. Resistance to antibiotics other than trimethoprim increased in BAPS 2. Analysis of the genomic location of different trimethoprim resistance genes in isolates of ST69, ST58, and ST73 identified multiple independent acquisition events in isolates of the same ST. The results show that despite a stable overall resistance frequency in E. coli before and after the intervention, marked within-population changes occurred. A decrease of resistance in one major genetic cluster was masked by a reciprocal increase in another major cluster.
在一个拥有17.8万居民的医疗保健区域,对甲氧苄啶处方进行了为期两年的前瞻性干预,使甲氧苄啶的使用量减少了85%。在此,我们对大肠杆菌中甲氧苄啶耐药性的群体内分布进行了前后分析。将系统发育和群体遗传学方法应用于从临床尿液标本中连续收集的548株大肠杆菌分离株的多位点序列分型数据。结合抗生素敏感性以及不同甲氧苄啶耐药基因类别的存在情况和基因组位置对结果进行了分析。共鉴定出163种大肠杆菌序列类型(STs),其中68种此前未被描述。这些分离株分为三个不同的遗传簇,分别命名为BAPS 1(大肠杆菌系统发育群B2)、BAPS 2(系统发育群A和B1)和BAPS 3(系统发育群D),每个遗传簇在干预前后的频率相似。BAPS 2和BAPS 3与甲氧苄啶耐药呈正相关,BAPS 1与甲氧苄啶耐药呈负相关(优势比分别为1.97、3.17和0.26)。在前后分析中,BAPS 1中的甲氧苄啶耐药频率增加,BAPS 2中的甲氧苄啶耐药频率降低。BAPS 2中对除甲氧苄啶以外的抗生素的耐药性增加。对ST69、ST58和ST73分离株中不同甲氧苄啶耐药基因的基因组位置分析表明,同一ST的分离株中发生了多个独立的获得事件。结果表明,尽管干预前后大肠杆菌的总体耐药频率稳定,但群体内发生了显著变化。一个主要遗传簇中耐药性的降低被另一个主要簇中耐药性的相应增加所掩盖。