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1.
J Infect Public Health ; 17(5): 780-788, 2024 May.
Article in English | MEDLINE | ID: mdl-38518684

ABSTRACT

BACKGROUND: The genus Mycobacterium includes well-known bacteria such as M. tuberculosis causing tuberculosis and M. leprae causing leprosy. Additionally, various species collectively termed non-tuberculous mycobacteria (NTM) can cause infections in humans and animals, affecting individuals across all age groups and health conditions. However, information on NTM infection prevalence in Panama is limited. METHODS: This study conducted a retrospective analysis of clinical records from 2017 to 2021, specifically focusing on patients with NTM isolates. Data were categorized by variables like sex, age, HIV status, and sample source. RESULTS: Among the 4430 clinical records analyzed, 698 were linked to patients with NTM isolates. Of these patients, 397 were male, and 301 were female. Most female patients with NTM isolates (n = 190) were aged >45 to 85 years, while most male patients (n = 334) fell in the >25 to 75 years age group. A noteworthy proportion of male patients (n = 65) were aged 25-35 years. A significant age difference between male (median [min-max] = 53 years [3-90]) and female (median [61 years [6-94]) patients was observed (p < 0.001). Regarding HIV status, 77 positive individuals were male, and 19 were female (p < 0.001). Most samples (n = 566) were sputum samples, with additional pulmonary-associated samples such as broncho-alveolar lavage, tracheal secretions, and pleural fluid samples. Among extrapulmonary isolates (n = 48), sources included catheter secretions, intracellular fluids, peritoneal fluid, blood cultures, cerebrospinal fluid, bone marrow samples, and capillary transplant lesions. Specifically, the analysis identified the pathogenic microorganisms responsible for mycobacteriosis in Panama during the specific period 2017-2021, as M. fortuitum (34.4%), M. intracellulare (20.06%), and M. abscessus (13.75%), respectively. CONCLUSIONS: This study highlights the growing public health concern of NTM infections in Panama. The research provides valuable insights into the prevalence and distribution of NTM species in the country, offering a foundation for the development and implementation of effective prevention and control strategies for NTM infections in Panama.


Subject(s)
HIV Infections , Mycobacterium Infections, Nontuberculous , Mycobacterium tuberculosis , Tuberculosis , Animals , Humans , Male , Female , Adult , Middle Aged , Aged , Nontuberculous Mycobacteria , Mycobacterium Infections, Nontuberculous/epidemiology , Mycobacterium Infections, Nontuberculous/microbiology , Retrospective Studies , Mycobacterium leprae , Panama/epidemiology , Tuberculosis/complications , HIV Infections/complications
2.
Emerg Infect Dis ; 25(3): 507-514, 2019 03.
Article in English | MEDLINE | ID: mdl-30789134

ABSTRACT

Systematic molecular/genomic epidemiology studies for tuberculosis surveillance cannot be implemented in many countries. We selected Panama as a model for an alternative strategy. Mycobacterial interspersed repetitive unit-variable-number tandem-repeat (MIRU-VNTR) analysis revealed a high proportion (50%) of Mycobacterium tuberculosis isolates included in 6 clusters (A-F) in 2 provinces (Panama and Colon). Cluster A corresponded to the Beijing sublineage. Whole-genome sequencing (WGS) differentiated clusters due to active recent transmission, with low single-nucleotide polymorphism-based diversity (cluster C), from clusters involving long-term prevalent strains with higher diversity (clusters A, B). Prospective application in Panama of 3 tailored strain-specific PCRs targeting marker single-nucleotide polymorphisms identified from WGS data revealed that 31.4% of incident cases involved strains A-C and that the Beijing strain was highly represented and restricted mainly to Colon. Rational integration of MIRU-VNTR, WGS, and tailored strain-specific PCRs could be a new model for tuberculosis surveillance in countries without molecular/genomic epidemiology programs.


Subject(s)
Models, Theoretical , Mycobacterium tuberculosis , Tuberculosis/epidemiology , Tuberculosis/transmission , Humans , Minisatellite Repeats , Molecular Epidemiology , Molecular Typing , Mycobacterium tuberculosis/drug effects , Mycobacterium tuberculosis/genetics , Phylogeny , Polymorphism, Single Nucleotide , Population Surveillance , Tuberculosis/genetics , Tuberculosis/microbiology , Whole Genome Sequencing
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