Comparison for Detection Methods of VITK 2 Identification and Antimicrobial Susceptibility Testing of Gram-Negative Bacteria Clinical Isolated from Blood Culture
Ziab Z. Al-Ahmadey, Ahmed M. Aljohani, Sultan S. Al-Ahmadi
South Asian Journal of Research in Microbiology · pp. 17–23 · Published 23 Dec 2021
10.9734/sajrm/2021/v11i330252Abstract
Background: Thousands of people die each year as a result of bloodstream infections. The fast and exact identification of the causative bacteria that cause these illnesses allows for precise treatment care, which improves the patient's prognosis. In an attempt to shortening the time for microbial identification devices have been developed, including the automated or manual antimicrobial susceptibility testing in clinical laboratories. The aim of this study was to evaluate the accuracy of the Vitek 2 system in the identification and their susceptibility against six classes of antibiotics. Methods: Based on conventional identification of the isolated was carried out by Gram staining and parallel culture on blood agar, chocolate agar and MacConkey agar, as well as on one drop blood test of Vitek 2 identification and antimicrobial susceptibility testing. The isolates included Enterobacteriaceae, Acinetobacter baumannii and selected species of non-fermenters. Results: A total of 36 isolates were recovered from 36 blood cultures, 80% of the isolates were multiple resistant to three antimicrobial agents and more. Resistance to imipenem and meropenem, yet resistance to amikacin was observed in 60% of isolates. The mean time for detection of Gram-negative direct samples less than Statistical analysis, showed significant difference with Klebsiella pneumoniae (P=0.014). The finding of this study highlights the emerging trends of Acinetobacter baumannii and Klebsiella pneumoniae as potential drug resistant pathogen in hospital setting in Saudi Arabia. Conclusions: The results of the present study show that the indirect method is high accuracy with short times, and especially when Gram-negative bacteria and determine bacterial identification from positive blood culture without cost expenditure and additional time.
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