RESUMO
Drug resistance among Mycobacterium tuberculosis (MTB) strains is a growing concern in developing countries. We conducted a comprehensive search for relevant studies in Iran on PubMed, Scopus, and Embase until June 12, 2020. Our study focused on determining the prevalence of antibiotic resistance in MTB isolates, with subgroup analyses based on year, location, and drug susceptibility testing (DST) methods. Statistical analyses were performed using STATA software. Our meta-analysis included a total of 47 articles. Among new TB cases, we found the following prevalence rates: Any-resistance to first-line drugs: 31 % (95 % CI, 24-38), mono-drug resistance: 15 % (95 % CI, 10-22), and multidrug resistance to first-line drugs: 6 % (95 % CI, 4-8). There was a significant variation in the rate of MDR among new TB cases based on the year of publication, location, and DST methods (P < 0.0001). We observed substantial variability in multidrug-resistant TB rates among new cases across the studies. Stratified analyses revealed that publication years and DST methods significantly affected resistance rates. Studies from southern and central Iran reported higher any-drug resistance rates, suggesting regional differences. Among retreatment cases, the prevalence rates were as follows: Any resistance: 68 % (95 % CI 58-78), mono-resistance: 19 % (95 % CI 7-34), multidrug resistance: 28 % (95 % CI 15-43). Our study revealed that the prevalence of drug-resistant TB (DR-TB) among TB cases in Iran is higher than the global average. Particularly, MDR-TB among retreatment TB cases is a significant public health issue.
RESUMO
OBJECTIVES: Cystic fibrosis (CF) is a hereditary recessive disease that affects the mucous clearance of the lungs and allows bacteria such as Staphylococcus aureus to settle in the lung and cause infection. This study examined the prevalence of antibiotic resistance of S. aureus in cystic fibrosis infection using a systematic review and meta-analysis. METHODS: A comprehensive and systematic search of related articles was conducted through the PubMed, Scopus, and Web of Science databases until March 2022. The weighted pooled resistance rate of antibiotics was analysed with Freeman-Tukey double arcsine transformation in the Stata software version 17.1 using the Metaprop command. RESULTS: In this meta-analysis, 25 studies were used based on criteria to evaluate the pattern of S. aureus resistance in CF. Vancomycin and teicoplanin were the most effective options for treatment of CF patients; the highest level of antibiotic resistance observed was to erythromycin and clindamycin. CONCLUSION: High levels of resistance to most of the antibiotics studied was observed. The high levels of antibiotic resistance observed are worrisome and indicate the need to monitor antibiotic use.