首页> 外文期刊>European journal of clinical microbiology and infectious diseases: Official publication of the European Society of Clinical Microbiology >Molecular epidemiology of virulence and antimicrobial resistance determinants in Klebsiella pneumoniae from hospitalised patients in Kilimanjaro, Tanzania
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Molecular epidemiology of virulence and antimicrobial resistance determinants in Klebsiella pneumoniae from hospitalised patients in Kilimanjaro, Tanzania

机译:坦桑尼亚乞力马扎罗住院患者肺炎患者毒力和抗菌抗药性决定因素的分子流行病学

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This study aimed to use whole-genome sequencing to determine virulence and antimicrobial resistance genes in K. pneumoniae isolated from patients in a tertiary care hospital in Kilimanjaro. K. pneumoniae isolates from patients attending Kilimanjaro Christian Medical Centre between August 2013 and August 2015 were fully genome-sequenced and analysed locally. Sequence analysis was done for identification of virulence and AMR genes. Plasmid and multi-locus sequence typing and capsular or capsular (K) typing were performed and phylogeny was done to ascertain K. pneumoniae relatedness. Stata 13 (College Station, TX, 77845, USA) was used to determine Cohen's kappa coefficient of agreement between the phenotypically tested and sequence-predicted resistance. A total of 16 (47.1%) sequence types (STs) and 10 (29.4%) K types were identified in 30 (88.2%) and 17 (50.0%) of all analysed isolates, respectively. K. pneumoniae ST17 were 6 (17.6%). The commonest determinants were bla (CTX-M-15) in 16 (47.1%) isolates(,) bla (SHV) in 30 (88.2%), bla (OXA-1) in 8 (23.5%) and bla (TEM-1) in 18 (52.9%) isolates. Resistance genes for aminoglycosides were detected in 21 (61.8%) isolates, fluoroquinolones in 13 (38.2%) and quinolones 34 (100%). Ceftazidime and ceftriaxone showed the strongest agreement between phenotype- and sequence-based resistance results: 93.8%, kappa = 0.87 and p = 0.0002. Yersiniabactin determinant was detected in 12 (35.3%) of K. pneumoniae. The proportion of AMR and virulence determinants detected in K. pneumoniae is alarming. WGS-based diagnostic approach has showed promising potentials in clinical microbiology, hospital outbreak source tracing virulence and AMR detection at KCMC.
机译:该研究旨在使用全基因组测序,以确定乞力马扎罗的第三级护理医院患者患者患者肺炎的毒力和抗微生物抗药性。 K. 2013年8月至2015年8月在2013年8月和2015年8月之间出席乞力马扎罗基督教医疗中心的肺炎患者是完全基因组排序和在本地分析。进行序列分析以鉴定毒力和AMR基因。进行质粒和多基因座序列键入和荚膜或荚膜(K)键入,并进行系统发生以确定K.肺炎的相关性。 STATA 13(大学站,TX,77845,美国)用于确定COHEN的Kappa达成的表型测试和序列预测的抗性之间的协议系数。分别在30(88.2%)和17(50.0%)的所有分析的分离物中鉴定了总共16种(STS)和10(29.4%)k型。 K. pneumoniae st17为6(17.6%)。最常见的决定因素在30(47.1%)分离物(47.1%)分离物(,)BLA(SHV),在8(23.5%)和BLA中(23.5%)和BLA(TEM- 1)18(52.9%)分离物。在21例(61.8%)分离物中检测到氨基糖苷的抗性基因,13(38.2%)和喹诺酮34(100%)中的氟喹诺酮。头孢他啶和头孢曲松在表型和序列的阻力结果之间表现出最强的协议:93.8%,κ= 0.87和P = 0.0002。在12(35.3%)K.肺炎中检测到yersinacactin决定蛋白。在K.肺炎中检测到的AMR和毒力决定簇的比例令人震惊。基于WGS的诊断方法表现出临床微生物学的有希望的潜力,医院爆发源跟踪毒力和KCMC的AMR检测。

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