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COMPARISON BETWEEN E-TEST AND DISC DIFFUSION - IN ANTIBIOTIC SUSCEPTIBILITY ON ESCHERICHIA COLI IN URINARY TRACT INFECTION
Abstract
Urinary Tract infection (UTI) is one of the most common infection among the worldwide women. The aim of this study is to make a comparison between the performances of 2 methods - Disc Diffusion Agar (DDA) and E-test, for antimicrobial susceptibility testing on Escherichia coli (E. Coli) isolated in women urine samples with UTI. Methods: The study group comprised 78 females (aged 25-65 years), with clinical symptoms of UTI. They were examined in the private clinic during 1.01-1.04.2015 and were included in the study group after they gave their ethical consent for participating in this study. The urine specimens were collected in sterile tubes, which were cultured and bacteria species isolated were identified according CLSI standards. Antibacterial susceptibility to 3 usually antibiotics used in UTI, respectively Trimethoprim, Nalidixic Acid and Ceftriaxone was made by E-test (bioMerieux, France) and DDA method (Bio-Rad, France) based on CLSI and EUCAST guidelines. The results were statistically analyzed using SPSS version 17.0; Chi square test was used to establish the significance of the results (pextless0.05). Results: We identified a high level of resistance to Trimethoprim by both methods, respectively 67.8\% (n=53) by DDA and 48.1\% (n=38) by E-test, with statistical significant differences between this two methods (p=0.02). We found the lowest level of resistance for Ceftriaxone, with minimal differences between DDA 29.4\% (n=23) and 23\% (n=18) by E-test, without significant differences (p=0.46). Similar results were found for Nalidixic Acid, respectively 50\% (n=39) by DDA and 46.1\% (n=36) by E-test (p=0.74). Conclusions: Disc Diffusion Agar method can be used as screening method to evaluate the sensitivity and resistance of E. Coli in UTI. The existence of differences on antibiotic resistance identified by this two methods show that the E-test may identify the antibiotic resistance more accurately than DDA. Acknowledgments: This work was realized in the project POSDRU/159/1.5/S/135760
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