Volume 8, Issue 3 (Summer 2019)                   J Occup Health Epidemiol 2019, 8(3): 118-122 | Back to browse issues page


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1- PhD Student, Department of Microbiology and Microbiology Research Center, Pasteur Institute, Tehran, Iran; Student Research Committee, Pasteur Institute of Iran, Tehran, Iran.
2- BSc Student, Department of Microbiology and Applied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
3- Associate Prof., Department of Microbiology and Applied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran; Applied Virology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran. , esm114@gmail.com
Article history
Received: 2019/07/13
Accepted: 2019/10/13
ePublished: 2020/01/23
Subject: Epidemiology
Abstract:   (3013 Views)
Background: In recent years, the risk of acquiring antibiotic resistance has been increasing due to the widespread use of antibiotics. This study aims to evaluate the antibiotic resistance pattern in patients referred to Ali-ebn Abi-Taleb hospital.
Materials and Methods: In a descriptive study, samples of urine, blood, cerebrospinal fluid, and body fluid were collected from patients referred to Ali-ebn Abi-Taleb Hospital from September 2014 to February 2015. Of these, 687 isolates identified as E. coli were tested for antibiotic susceptibility against 15 antibiotics by the Kirby- Bauer method based on CLSI 2015. The relevant prevalence, percentage, and mean were reported using SPSS (version 16).
Results: A total of 10824 samples were collected. A total of 866 isolates were grown on an agar medium, and 80.3% of the samples were isolated from women. The highest rate of antibiotic resistance was reported to be for Amoxicillin (82.2%). The lowestrate of antibiotic resistance was reported against Nitrofurantoin (14%).
Conclusions: We concluded there is an increasing rate of antibiotic resistance among E. coli isolates. Therefore, the necessity of identifying drug resistance is apparent using precise and straightforward methods to prevent the extensive distribution of antibiotic resistantagents.

 
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