BACKGROUND: Drug-resistance in Mycobacterium tuberculosis complex remains a major health burden in human history and still is a major leading cause of death in developing countries including Ethiopia. Early detection of all forms of drug-resistant Tuberculosis(TB) is a key factor to reduce and contain the spread of these resistant strains. METHODS: A health facility-based cross-sectional study was employed, based on demographic, clinical, and laboratory data collected from 204 patients with bacteriological confirmed TB. Sputum samples were analyzed using conventional TB culture and identification test followed by molecular species identification, and then phenotypic drug susceptibility tests. Data were entered using an excel spreadsheet and exported to SPSS version 20 for analysis. Descriptive analysis; frequencies, and proportions were computed. RESULTS: Among the 204 sputum samples inoculated in culture media, Mycobacterium species were recovered from 165 specimens, with 160 Mycobacterium tuberculosis complex and five Non- Tuberculosis Mycobacterium(NTM) species. All Mycobacterium tuberculosis complex was found to be M. tuberculosis. Of the five NTM species, 2 M.fortuitum, 2 M.intracellulare, and 1 M.gordonae were identified. Among 160 species of M. tuberculosis isolates, 110(68.8%) were resistant to any of the anti-TB drugs. The resistance pattern was; INH (109, 68.1%), RIF (99, 61.9%), STM (73,45.6%), and EMB (32,20.0%). Mono-resistance was found for INH (7,4.3%) and STM (1,0.6%). Ninety-nine (61.9%) isolates become MDR, while resistance to any of the second-line anti-TB drugs was detected in 9 (5.6%) strains, with 8(5%) Pre-XDR and one (0.6%) XDR cases. CONCLUSION: Our findings highlight high frequencies of drug resistance to first and second-line anti-TB drugs.Determining the drug-resistance pattern of MTB is important for programmatic management of drug-resistant TB in Ethiopia. The circulating Pre-XDR and XDR case identified in the current study is alarming to the tuberculosis control program in the country.
BACKGROUND: Drug-resistance in Mycobacterium tuberculosis complex remains a major health burden in human history and still is a major leading cause of death in developing countries including Ethiopia. Early detection of all forms of drug-resistant Tuberculosis(TB) is a key factor to reduce and contain the spread of these resistant strains. METHODS: A health facility-based cross-sectional study was employed, based on demographic, clinical, and laboratory data collected from 204 patients with bacteriological confirmed TB. Sputum samples were analyzed using conventional TB culture and identification test followed by molecular species identification, and then phenotypic drug susceptibility tests. Data were entered using an excel spreadsheet and exported to SPSS version 20 for analysis. Descriptive analysis; frequencies, and proportions were computed. RESULTS: Among the 204 sputum samples inoculated in culture media, Mycobacterium species were recovered from 165 specimens, with 160 Mycobacterium tuberculosis complex and five Non- TuberculosisMycobacterium(NTM) species. All Mycobacterium tuberculosis complex was found to be M. tuberculosis. Of the five NTM species, 2 M.fortuitum, 2 M.intracellulare, and 1 M.gordonae were identified. Among 160 species of M. tuberculosis isolates, 110(68.8%) were resistant to any of the anti-TB drugs. The resistance pattern was; INH (109, 68.1%), RIF (99, 61.9%), STM (73,45.6%), and EMB (32,20.0%). Mono-resistance was found for INH (7,4.3%) and STM (1,0.6%). Ninety-nine (61.9%) isolates become MDR, while resistance to any of the second-line anti-TB drugs was detected in 9 (5.6%) strains, with 8(5%) Pre-XDR and one (0.6%) XDR cases. CONCLUSION: Our findings highlight high frequencies of drug resistance to first and second-line anti-TB drugs.Determining the drug-resistance pattern of MTB is important for programmatic management of drug-resistant TB in Ethiopia. The circulating Pre-XDR and XDR case identified in the current study is alarming to the tuberculosis control program in the country.
Authors: Richard Steiner Salvato; Elis Regina Dalla Costa; Ana Júlia Reis; Sun Hee Schiefelbein; Maria Laura Halon; Regina Bones Barcellos; Gisela Unis; Cláudia Fontoura Dias; Miguel Viveiros; Isabel Portugal; Pedro Eduardo Almeida da Silva; Afrânio Lineu Kritski; João Perdigão; Maria Lucia Rosa Rossetti Journal: Infect Genet Evol Date: 2019-11-26 Impact factor: 3.342