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Volume 5, Issue 4 (November 2018)                   IJML 2018, 5(4): 278-287 | Back to browse issues page

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Nourbakhsh F, Tajbakhsh E, Daneshmand D, Borooni S, Nourbakhsh V. Antibiotic Resistance Patterns and Molecular Typing of Acinetobacter Baumannii Strains Isolated from Burn Patients in Iran. IJML. 2018; 5 (4) :278-287
URL: http://ijml.ssu.ac.ir/article-1-220-en.html
Department of Pharmacodynamics and Toxicology, Faculty of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Abstract:   (1377 Views)
Background and Aims: Acinetobacter baumannii (A. baumannii) is an important multidrug-resistant opportunistic pathogen frequently causing various nosocomial infections and is a serious threat to burn patients. These infections are usually caused by the outbreak strains. The aim of this study was to show antibiotic resistance pattern and molecular typing of A. baumannii genes isolates collected from burn patients and also distribution of different types of burn patients.
Materials and Methods: In this study, 307 different strains were detected. Totally 100 A. baumannii strain was selected in burn center of Isfahan hospital. Antibiotic resistance pattern was determined by disk diffusion method (Kirby Bauer). The presence of genes coding in antibiotic resistance were analyzed by using multiplex-PCR method. The standard strains of Escherichia coli ATCC 25922 and A. baumannii ATCC 19606 were used as negative and positive controls.
Results: The antibiotic resistance pattern for A. baumannii showed high resistance for ciprofloxacin, ceftazidime, and tetracycline with frequency of 82.5%, 75.3%, 72%, respectively. Moreover, the most sensitive antibiotics were chloramphenicol, and nitrofurantoin with the resistance frequency of 3.9% and 2.8%. CITM (91.1%) was the highest detected gene.
Conclusions: High prevalence of antibiotic resistance pattern among A. baumannii isolated from burn center hospitals indicates the important role of multidrug resistant isolates. 
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Type of Study: Research | Subject: Bactriology
Received: 2018/02/25 | Accepted: 2018/10/8 | Published: 2018/11/15

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