Antibiotic resistance patterns and frequency of metallo-beta-lactamases in Klebsiella pneumoniae in Hamadan, Iran Cover Image

Antibiotic resistance patterns and frequency of metallo-beta-lactamases in Klebsiella pneumoniae in Hamadan, Iran
Antibiotic resistance patterns and frequency of metallo-beta-lactamases in Klebsiella pneumoniae in Hamadan, Iran

Author(s): Khalil Azizian, Mohammad Yousef Alikhani, Rasoul Yousefi Mashouf, Pourya Gholizadeh, Mohammad Ali Noshak
Subject(s): Health and medicine and law, Present Times (2010 - today)
Published by: Asociația pentru Creșterea Vizibilității Cercetării Științifice (ACVCS)
Keywords: blaVIM; blaIMP; carbapenems; metallo-beta-lactamases (MBL); Klebsiella pneumoniae;

Summary/Abstract: Introduction Emerging strains of Klebsiella pneumoniae resistant to different antibiotics, especially metallo-beta-lactamase-(MBL)-producing isolates, are major therapeutic problems worldwide. The aim of this study was to determine the prevalence of MBL-producing K. pneumoniae and their antimicrobial pattern. Methods This descriptive study included 100 K. pneumoniae isolates recovered from inpatients and outpatients, which were referred to 3 hospitals in Hamadan, Iran. In this study antibiotic susceptibility was determined using disk diffusion and E-test. MBL-producing isolates were detected by the double disk synergy test (DDS test). Furthermore, the frequency of blaVIM-1, blaVIM-2 and blaIPM-1 genes was investigated using PCR. Results The highest resistance rate was observed to cefixime (48%), followed by ceftriaxone (47%) and cefotaxime (46%). In contrast, the most active antibiotic agents against K. pneumoniae were meropenem (95%) and imipenem (88%). The frequency of MBL and multidrug-resistant isolates were 5% and 43%, respectively. Also, only blaVIM-1 was detected in 5% of the isolates. Conclusion In summary, our results showed that the most effective antibiotic agents for the treatment of infections caused by K. pneumoniae strains in this region are meropenem and imipenem.

  • Issue Year: 5/2019
  • Issue No: 1
  • Page Range: 10-16
  • Page Count: 7
  • Language: English