Meta-analysis study for antibiotic resistance of Acinetobacter baumannii clinical isolates

Masoud Keikha; Hossein Jadidi

Meta-analysis study for antibiotic resistance of Acinetobacter baumannii clinical isolates

2017

Masoud Keikha | Hossein Jadidi

Background and Aim: Acinetobacter baumannii is one of the most important opportunistic pathogen that is responsible of nosocomial infections, especially in intensive care units (ICUs). The prevalence of antibiotic resistant A. baumannii is increasing in world, and this may cause significant clinical problems. Therefore, this study aimed to evaluate the rate of antibiotic resistance of A. baumannii using meta-analysis. Materials and Methods: Information for this study obtained by searching on data bases included: Scopus, PubMed, ISI Web of Science, ISC, SID and Google Scholar by independent researchers using standard keyword and without time limit. Then studies containing inclusion criteria were evaluated. The data were analyzed by using random effects model Meta-analysis method and with the software STATA Ver.12.0. Results and Conclusions: 11 studies were eligible. This studies were analyzed for antibiotics included: cefotaxime, ceftazidime, amikacin, gentamicin, ciprofloxacin and imipenem, based on random effect models. The highest and lowest resistances were found against cefotaxime and imipenem, respectively. This study showed that A. baumannii strain’s have resistance to a wide range of antimicrobial agents. According to the importance of these bacteria in nosocomial infections particularly in intensive care units, it is necessary to apply appropriate strategies to control the spread of this bacteria.

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