Investigation of Resistance and Clonal Relatedness Among The Nosocomial Acinetobacter Isolates

Year 2019, Volume: 5 Issue: 2, 120 - 132, 28.08.2019

Ahmet Çalışkan Rıza Durmaz Canan Ateş Gürsoy Nilay Ildız

https://doi.org/10.19127/mbsjohs.581706

Abstract

Objective:
This study focused on Acinetobacter
spp. that were isolated from inpatients to determine the resistance rates to
antibiotics and to monitor the resistance increase over the years.

Method:
To determine whether there was a clonal relationship between the strains using
pulsed field gel electrophoresis (PFGE), to evaluate the epidemiological and
clinical data of patients, and to determine the factors that may be effective
in the formation and spread of infection, antibiotic susceptibilities of Acinetobacter strains were evaluated by
the Kirby Bauer disk diffusion method. Molecular typing was studied with PFGE.

Results:
Netilmicin had the least resistance (7%) among the strains, while the highest
resistance was found against piperacillin (92%), ceftriaxone (81%), and
doxycycline (69%). When resistance profiles of strains were compared according
to year (2005-2007), no significant changes were found for resistance rates to
piperacillin, ceftriaxone, gentamicin, doxycycline, and trimethoprim /
sulfamethoxazole. Of all the 131 tested Acinetobacter spp., 82 (62.6%)
of the strains were clustered with the PFGE method and 72.3% of the strains
were clonally related. The increase in MDR, XDR and PDR rates among the
isolated Acinetobacter spp. is remarkable. It was determined that the
degree of transmission of the strains was quite high among patients. The clone
in the hospital was able to remain in the environment for long periods and the
general patient mortality rates were higher than other studies.

Conclusions:
According to results and with the support of molecular typing studies, the need
for more effective prevention and control measures in our hospital was
demonstrated.

Keywords

Acinetobacter, PFGE, cluster, resistant

Supporting Institution

TUBITAK

Project Number

SBAG 106S211

Thanks

This study was produced from the expertise thesis of Ahmet Çalışkan and includes a part of the project of SBAG 106S211 supported by TUBITAK.

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