Prevalence of Common Nosocomial Infections and Evaluation of Antibiotic Resistance Patterns in Patients with Secondary Infections in Hamadan, Iran
Received 21 April 2020
Accepted for publication 25 June 2020
Published 15 July 2020 Volume 2020:13 Pages 2365—2374
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Professor Suresh Antony
Fatemeh Nouri,1 Pezhman Karami,2 Omid Zarei,3 Faezeh Kosari,3 Mohammad Yousef Alikhani,2 Eghbal Zandkarimi,4 Ebrahim Rezazadeh Zarandi,5 Mohammad Taheri2
1Department of Pharmaceutical Biotechnology, School of Pharmacy, Hamadan University of Medical Sciences, Hamadan, Iran; 2Department of Medical Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran; 3Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran; 4Department of Epidemiology and Biostatistics, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran; 5Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
Correspondence: Mohammad Taheri
Department of Medical Microbiology, Hamadan University of Medical Sciences, Hamadan, Iran
Introduction: The prevalence of nosocomial infections in patients hospitalized to three hospitals of Shahid Beheshti, Farshchian, and Be’ saat in Hamadan was investigated for 2 years (2018 to 2020).
Materials and Methods: The samples were cultured and characterized using morphological and diagnostic biochemical tests. The analysis of the frequency of the isolates and their antibiotic resistance were calculated using SPSS (version 22) at a significant level of P-value < 0.05.
Results: Bacterial isolates were collected from the 1194 clinical specimens, of which 1394 were isolated from urine, 16 from CSF, and 588 from tracheal aspiration. Also, 654 (54.8%) isolates were obtained from females and 540 (45.2%) from males with the age range 15– 73 years (P> 0.05). The results showed that 22.1% were gram-positive and 77.9% were gram-negative. In our study, the frequency of Klebsiella pneumoniae bacteria was higher than in some studies, and this indicates the genetic changes and resistance of this bacterium to many antibiotics.
Conclusion: To prevent further spread of resistance, increase the effectiveness of antibiotics and prevent multidrug resistance, it is essential to establish a precise schedule for the use of antibiotics and assess the resistance pattern periodically in each region based on the antibiotic resistance pattern.
Keywords: nosocomial infections, UTI, trachea, CSF, antimicrobial resistance pattern
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