Kawser Zannat, Shamsuzzaman S M
Department of Microbiology, Dhaka Medical College, Dhaka, Bangladesh.
Department of Infectious Disease, Institute for Developing Science and Health Initiatives, Dhaka, Bangladesh.
Int J Appl Basic Med Res. 2022 Apr-Jun;12(2):123-129. doi: 10.4103/ijabmr.ijabmr_747_21. Epub 2022 May 10.
Infections caused by multidrug-resistant (MDR) hypervirulent are difficult to treat and associated with high mortality rates. Hence, this study was conducted to determine the antibiotic resistance pattern along with the distribution of virulence genes among isolated string test positive and negative strains.
A total of 44 . strains were isolated following standard microbiological methods from 350 different clinical samples from patients admitted to Dhaka Medical College Hospital, Bangladesh. String test was done to detect the hypermucoid phenotype. Antimicrobial resistance (AMR) pattern was determined by dichlorodiphenyltrichloroethane (except colistin and fosfomycin) among all isolates. Polymerase chain reaction was done to detect the hypervirulence genes (, , , ).
In this study, 21/44 (47.73%) of the isolated . were string test positive and distribution of the virulence genes except was higher among them. A total of 15/44 (34.09%) of the isolated . were MDR, 10/44 (22.73%) were extensively drug resistant, 1/44 (2.27%) was pan drug resistant, and 14/44 (31.82%) were colistin resistant. Isolated organisms were highly resistant to third-generation cephalosporins and most sensitive to fosfomycin in this study. Although all the string test positive strains showed higher resistance rates than the string test negative ones toward most of the tested antibiotics, only the differences of resistance rates to amoxiclav and tigecycline among the two phenotypes were statistically significant.
Our findings highlight the importance of surveillance of the AMR pattern of hypervirulent . in clinical samples. Therefore, a response to check the global dissemination of this hypervirulent with resistance determinants is urgently needed.
多重耐药(MDR)高毒力[病原体名称未给出]引起的感染难以治疗,且死亡率高。因此,本研究旨在确定分离出的拉丝试验阳性和阴性菌株的抗生素耐药模式以及毒力基因的分布情况。
按照标准微生物学方法,从孟加拉国达卡医学院医院收治的350份不同临床样本中分离出44株[病原体名称未给出]菌株。进行拉丝试验以检测高黏液样表型。在所有分离株中,采用二氯二苯三氯乙烷(除黏菌素和磷霉素外)测定抗菌药物耐药(AMR)模式。通过聚合酶链反应检测高毒力基因([基因名称未给出])。
在本研究中,分离出的[病原体名称未给出]中有21/44(47.73%)拉丝试验呈阳性,除[基因名称未给出]外,其他毒力基因在这些菌株中的分布更高。分离出的[病原体名称未给出]中共有15/44(34.09%)为多重耐药,10/44(22.73%)为广泛耐药,1/44(2.27%)为全耐药,14/44(31.82%)对黏菌素耐药。在本研究中,分离出的菌株对第三代头孢菌素高度耐药,对磷霉素最敏感。尽管所有拉丝试验阳性菌株对大多数受试抗生素的耐药率均高于拉丝试验阴性菌株,但两种表型对阿莫西林克拉维酸和替加环素的耐药率差异具有统计学意义。
我们的研究结果凸显了监测临床样本中高毒力[病原体名称未给出]的AMR模式的重要性。因此,迫切需要采取应对措施,以遏制这种携带耐药决定因素的高毒力[病原体名称未给出]在全球的传播。