Livani S, Mirinargesi M, Nemati-Shoja E, Rafiei S, Taziki M, Tabarraei A, ,
Volume 5, Issue 2 (10-2011)
Abstract
Abstract Background and objectives: Identification and monitoring of multidrug-resistant Mycobacterium tuberculosis strains (MDR) is highlighted by the high risk of their spreading in different areas. Prevalence of these strains was evaluated in Golestan province in northeast of Iran. Material and Methods: Drug susceptibility testing to Isoniazid and rifampin was carried out for 148 clinical samples that had grown in Mycobacteria growth indicator tube (MGIT) system, according to the manufacturer's instructions (Becton-Dickinson, USA). The association of drug resistance frequency with demographic characteristics and growth time were investigated. The appropriate statistical tests, X2 and student T- test were performed for comparison of these variants. A p value>0.05 was considered significant in all cases. Results: The turnaround time required for growth of Mycobacterium tuberculosis in MGIT system was between 2 to 55 days (mean 16.3±10.4 days). Of all samples studied, 17.6% and 3.4% were resistant to Isoniazid and rifampin, respectively, and 3.4% (5 samples) were MDR (CI 95% 1-6%). The turnaround time required for determining MDR cases was 9.6 days. No statistically significant association was found between the resistance to the drugs and none of the factors including sex, age, type of clinical sample, and positivity of the smear. Conclusion: The prevalence of MDR in the studied region was determined to be 3.4% which is similar to the country-wide evaluations. The turnaround time for Mycobacterium growth and anti drug susceptibility result can be shortened by MGIT method. Key words: Mycobacterium tuberculosis, Mycobacterium Growth Indicator Tube, Multidrug Resistant
Seyed Amin Enayatzadeh Meymandi, Laleh Babaeekhou, Maryam Ghane,
Volume 13, Issue 5 (9-2019)
Abstract
ABSTRACT
Background and Objectives: Emergence and spread of multidrug-resistant (MDR) and extensively-drug resistant (XDR) Pseudomonas aeruginosa strains could complicate antipseudomonal chemotherapy. Dissemination of resistance genes, such as β-lactamases encoding genes by horizontal gene transfer can lead to development of multi-drug resistance in P. aeruginosa. The purpose of this study was to investigate the latest resistance patterns in MDR and XDR strains and evaluate Ambler class A β-lactamase gene distribution in P. aeruginosa clinical isolates.
Methods: One hundred molecularly and biochemically identified P. aeruginosa strains isolated from different clinical specimens were tested for sensitivity to 17 antibiotics using the Kirby-Bauer disk diffusion method. PCR was performed to detect bla TEM-1, bla SHV-1, bla REP-1 and bla VEB-1 genes. Results were analyzed using SPSS and NTSYSpc softwares.
Results: Based on the results of antibiogram, the highest rate of resistance was observed against amikacin (100%), aztreonam (83%), ceftazidime (55%), cefepime (55%) and netilmicin (48%). In addition, the frequency of MDR and XDR isolates was 95% and 5%, respectively. The blaSHV-1, bla TEM-1, bla PER-1 and bla VEB-1 genes were detected in 31%, 24%, 13% and 10% of the isolates, respectively.
Conclusion: Antibiotic resistance to β-lactam antibiotics and frequency of β-lactamase genes were relatively high in the study area. We also found that a significant proportion of XDR strains with different antibiotic resistance profile is isolated from tracheal specimens.
KEYWORDS: Pseudomonas aeruginosa, Beta-Lactamase, Multidrug Resistant, Extensively Drug Resistant.
