
pmid: 21197077
pmc: PMC3004385
Recurrence and reinfection of tuberculosis have quite different implications for prevention. We identified 267 spoligotypes ofMycobacterium tuberculosisfrom consecutive tuberculosis patients in Acapulco, Mexico, to assess the level of clustering and risk factors for clustered strains. Point cluster analysis examined spatial clustering. Risk analysis relied on the Mantel Haenszel procedure to examine bivariate associations, then to develop risk profiles of combinations of risk factors. Supplementary analysis of the spoligotyping data used SpolTools. Spoligotyping identified 85 types, 50 of them previously unreported. The five most common spoligotypes accounted for 55% of tuberculosis cases. One cluster of 70 patients (26% of the series) produced a single spoligotype from the Manila Family (Clade EAI2). The high proportion (78%) of patients infected with cluster strains is compatible with recent transmission of TB in Acapulco. Geomatic analysis showed no spatial clustering; clustering was associated with a risk profile of uneducated cases who lived in single-room dwellings. The Manila emerging strain accounted for one in every four cases, confirming that one strain can predominate in a hyperendemic area.
Adult, Male, Clade, Epidemiology, Cluster (spacecraft), FOS: Health sciences, Gene, Diagnosis, Treatment, and Epidemiology of Nontuberculous Mycobacterial Diseases, Sociology, Risk Factors, Health Sciences, Genetics, Pathology, Cluster Analysis, Humans, Tuberculosis, Mexico, Biology, Management and Epidemiology of Pneumonia, Demography, Molecular Epidemiology, Polymorphism, Genetic, Geography, Mycobacterium tuberculosis, RC581-607, DNA Fingerprinting, Computer science, Bacterial Typing Techniques, FOS: Sociology, Programming language, Phylogeography, Infectious Diseases, Data Interpretation, Statistical, FOS: Biological sciences, Medicine, Female, Immunologic diseases. Allergy, Research Article, Phylogenetic tree
Adult, Male, Clade, Epidemiology, Cluster (spacecraft), FOS: Health sciences, Gene, Diagnosis, Treatment, and Epidemiology of Nontuberculous Mycobacterial Diseases, Sociology, Risk Factors, Health Sciences, Genetics, Pathology, Cluster Analysis, Humans, Tuberculosis, Mexico, Biology, Management and Epidemiology of Pneumonia, Demography, Molecular Epidemiology, Polymorphism, Genetic, Geography, Mycobacterium tuberculosis, RC581-607, DNA Fingerprinting, Computer science, Bacterial Typing Techniques, FOS: Sociology, Programming language, Phylogeography, Infectious Diseases, Data Interpretation, Statistical, FOS: Biological sciences, Medicine, Female, Immunologic diseases. Allergy, Research Article, Phylogenetic tree
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