Evaluation of the BD Phoenix automated identification & susceptibility testing system in antibiotic resistance pattern of Acinetobacter strains isolated of hospitalized patients in ICU from Mashhad Hospitals in ۲۰۲۰

Background and Aim : Infection with antibiotic resistance bacteria such as Acinetobacter is one of the most important problems in treatment in the world. This non-fermentative Gram negative bacteria can cause nosocomial infections (NI) in hospitalized patient after ۴۸ to ۷۲ hours especially in the intensive care unit (ICU). The incidence rate of NI infections in the ICU in developed countries is up to ۵۰%. Using the Phoenix Automated Microbiology system can be a suitable tool in identifying bacteria and determining the exact pattern of microbial resistance of bacteria, especially Acinetobacter as one of the most common agent in NI in the ICU. The objective of this study was to evaluate the Phoenix system in the antimicrobial susceptibility testing of Acinetobacter isolates collected from hospitalized patients in ICU from Mashhad hospitals in one year in Iran.Methods : The Phoenix system in the identification & antimicrobial susceptibility testing using one Phoenix panel type, NMIC/ID-۵ used for ۱۶۰ gram-negative isolates collected different samples of ICU patients from Mashhad hospitals in ۲۰۲۰. Results : The results produced by the system identified ۶۰ Acinetobacter strains. A category agreement value was found for the susceptibility of Acinetobacter to Colistin (۹۰%). The antibiotic resistance pattern showed the highest resistance to Aminoglycosides (۵۵%), Carbapenemase (۵۵%), Quinolones (۵۵%), Cephalosporin (۵۴%), Macrolides (۵۴%), Beta Lactamase (۵۴%), Sulfonamides (۴۳%) and Monobactams (۴۰%), respectively. The results indicated the increasing of antibiotic resistance of Acinetobacter to those antibiotics group which has been sensitive, previously.Conclusion : This study demonstrates the development of antibiotic-resistance of Acinetobacter strains in ICU in Mashhad. The use of prophylactic antibiotics in high-dose for ICU patients appears to increase drug resistance. It is highly recommended to antibiotic stwartetship in Acinetobacter infections. Decided to provide appropriate solutions to control the increase in resistance as well as provide a suitable new line for treatment according to MIC it seems necessary.

Keywords:

Acinetobacter spp , ICU , nosocomial infections , antibiotic resistant pattern , Phoenix system