Evaluation of Gram-Negative Bacilli Isolated from Patients in Intensive Care Units
Journal Title: Türk Yoğun Bakım Dergisi - Year 2017, Vol 15, Issue 3
Abstract
Objective: A significant proportion of nosocomial infections resulting in significant mortality and morbidity for hospitalized patients are due to the patients in intensive care units (ICU). For this reason, the identification and detection of antimicrobial resistance in the microorganisms that are isolated from ICU patients is of great importance for successful treatment. Therefore, in this study, it was aimed to evaluate Gram-negative bacilli (GNB) isolated from patients in ICU of Erzurum Regional Training and Research Hospital, Turkey. Materials and Methods: A total of 327 GNB isolated from the clinical specimens of patients in ICU between January 2015 and January 2016 were evaluated. The conventional methods and the Kirby Bauer disc diffusion method (if necessary assisted with Vitek 2 automated system) were used for the identification and detection of antimicrobial susceptibility of isolated microorganisms. Antibiotic susceptibility tests were interpreted according to EUCAST criteria. Results: Of the 327 GNB, 218 were nonfermentative and 109 were Enterobacteriaceae spp. The most frequently isolated microorganisms were Acinetobacter baumannii and Klebsiella pneumoniae, respectively. The microorganisms were mostly isolated from respiratory tract samples and blood cultures. All of A. baumannii and Pseudomonas aeruginosa strains were susceptible to colistin and trimethoprim-sulfamethoxazole resistance was not detected in Stenotrophomonas maltophilia. The lowest resistance in K. pneumoniae and Escherichia coli was found against amikacin while the highest resistance was found against ampicillin/sulbactam. These ratios were observed against imipenem-meropenem and cefuroxime for Enterobacter spp., respectively. Conclusion: These results indicate that resistant GNB infections continue to be a serious problem in the ICU and emphasize the need to update and monitor the empirical antibiotic selection to prevent these infections.
Authors and Affiliations
Muhammet Emin Naldan, Mehmet Veysel Coşkun, Onur Ünal, Ömer Karaşahin, Mete Koray Vural
Keywords
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- EP ID EP380892
- DOI 10.4274/tybd.15238
- Views 100
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