Molecular epidemiological characteristics of ST11 and ST15 carbapenem resistant Klebsiella pneumonia
Objective To explore the differences in epidemiological characteristics of Carbapenem resistant Klebsiella pneu-moniae(CRKP)ST type between tumor specialty hospitals and local large tertiary hospitals.Methods This study collected 69 CRKP strains from two hospitals,and confirmed their ST type through multilocus typing technique(MLST).PCR was used to detect their resistance genes(blaKPC、blaNDM、blaVIM、blaIMP、blaOXA-48、blaCTX、blaSHV、blaTEM)and virulence genes(mrkD rmpA rm-pA2 ybts iutA iroN entB kfuB).Results Among the 69 CRKPs,33 strains were ST11-type and 10 strains were ST15-type,and the detection rate of ST11-type was the highest among all CRKPs from both hospitals,in which 21 out of 30 CRKPs from the First Affiliated Hospital of Nanchang University were ST11-type,and only 1 was ST15-type,while 12 out of 39 CRKPs from the Jiangxi Cancer Hospital were ST11-type,and 9 were ST15-type.Both types of CRKP strains were resistant to carbapenems,β-lactams and quinolone antibiotics,and were fully sensitive to tigecycline,with one strain of ST11 CRKP being resistant to polymyxin.The resistance rate to amikacin and cotrimoxazole for ST11 CRKP was 100.0％and 90.1％,respectively,while all ST15 CRKP were sensitive,with statistically significant differences(P＜0.05).They also showed statistically significant differences in carrying the re-sistance genes blaSHV,blaTEM and the virulence genes rmpA2 kfuB(P＜0.05).Conclusion The detection rates of ST11 and ST1 5 CRKP in the two hospitals were quite different,and the detection rates of blaSHV,blaTEM and rmpA2 were lower than that of ST11,while the detection rate of the virulence gene kfu was much higher than that of ST11,and it was sensitive to amikacin and cotrimoxazole.Both types of CRKP carry multiple resistance genes and virulence genes,and the use of antibiotics should be scien-tifically rational and the prevention and control measures of nosocomial infection should be strengthened.
万方数据
维普
