scholarly journals Antibiotic profiles and prevalence of co-colistin and carbapenem-resistant Enterobacteriaceae isolated from patients in the university hospital insouthern Thailand

Author(s):  
Jidapa Szekely ◽  
Natnicha Ingviya ◽  
Varaporn Laohaprertthisan ◽  
Sutep Jaruratanasirikul
2016 ◽  
Vol 38 (2) ◽  
pp. 254-257 ◽  
Author(s):  
Gökhan Metan ◽  
Ahmet Ilbay ◽  
Ozgen Koseoglu Eser ◽  
Serhat Unal ◽  
Pinar Zarakolu

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S134-S134
Author(s):  
Amani Kholy ◽  
May Mohamed Sherif Soliman ◽  
Arwa Ramadan ◽  
Jehan El-Kholy

Abstract Background Carbapenem--resistant Enterobacteriaceae constitute an urgent public health problem worldwide. In 2018, carbapenem--resistant Klebsiella pneumoniae (CR-KP) caused outbreaks of infection in 4 intensive-care units (ICUs)in a tertiary-care hospital in Egypt. We aimed to identify the clonal relatedness of isolates by whole genome (WGS). Methods Identification and antibiotic susceptibility testing was done by VITEK-2. Eleven isolates showed identical resistance pattern (resistant to Amikacin, gentamicin, Imipenem, meropenem, levofloxacin, and Piperacillin/Tazobactam) and were susceptible only to colistin. Caba-NP test was positive for carbapenemase production. The 11 isolates were studied by WGS by Illumina Miseq in a reference lab in Cairo University Hospital. Results In only one ICU, WGS identified 4 outbreak isolates of CR-KP that group together as a tight clonal cluster, suggestive of intra-ward transmission event. The outbreak isolates belonged to MLST 147. All isolates carried blaCTXM-15, blaoxa-48, and blaNDM1 encoding ESBL and carbapenemase activity. Other identified resistance genes were Str, AadA, MsrE, Tet, and DfrA, encoding resistance to aminoglycosides, macrolide–lincosamide–streptogramin, tetracycline and trimethoprim/sulphonamides. Virulence genes included Yersiniabactin, aerobactin, rmpA, rmpA2 and wzi64, which has been associated with pathogenicity and hypervirulent K. pneumoniae lineages. No clonal relationships were identified between the isolates from other ICUs. Conclusion WGS is a powerful tool that goes beyond high-resolution tracking of transmission events into identifying the genetic basis of drug-resistance and virulence. Disclosures All authors: No reported disclosures.


2020 ◽  
Vol 26 (3) ◽  
pp. 211-217 ◽  
Author(s):  
Sameer Ahmed Alsharapy ◽  
Alima Gharout-Sait ◽  
Anaelle Muggeo ◽  
Thomas Guillard ◽  
Pascal Cholley ◽  
...  

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