| Revista: | The brazilian journal of infectious diseases |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000290662 |
| ISSN: | 1413-8670 |
| Autores: | Oplustil, Carmen Paz1 Leite, Olavo H.M Oliveira, Marilia S Sinto, Sumiko I Uip, David E Boulos, Marcos Mendes, Caio F |
| Instituciones: | 1Universidade de Sao Paulo, Faculdade de Medicina, Sao Paulo. Brasil |
| Año: | 2001 |
| Periodo: | Oct |
| Volumen: | 5 |
| Número: | 5 |
| Paginación: | 252-259 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental |
| Resumen en inglés | This study was done to determine the occurrence of mycobacteria in the bloodstreams of patients with fever and advanced AIDS in a Brazilian hospital. We also verified the capability of an automated method for recovering these bacteria. During a period of 19 months, 254 patients with AIDS were evaluated. Blood cultures were generally submitted in pairs and drawn separately. Blood cultures were processed by the BACTEC 460TB System (Becton Dickinson Microbiology Systems, Sparks, MD), using the Bactec 13A media (Becton Dickinson Microbiology Systems, Sparks, MD). Of the 530 vials submitted, 77 (14.5%) from 41 (16%) patients were positive. Mycobacterium avium complex was recovered from 45 (58.4%) of the 77 positive vials, corresponding to 22 (53.6%) patients with positive blood cultures. The average time to detect Mycobacterium avium complex was 15 days. Mycobacterium tuberculosis was recovered from 26 (33.8%) of the 77 positive vials, corresponding to 15 (36.6%) patients with positive blood cultures, with an average detection time of 24 days. Other species of mycobacteria were recovered from 6 (7.8%) of the 77 vials, corresponding to 4 (9.8%) patients. M.avium complex was fairly prevalent (8.7%) in severely ill patients with AIDS in our hospital. M. tuberculosis was also an important (6.0%) agent of systemic bacterial infections in these patients. The rapid diagnosis of mycobacteremia was possible with the implementation of this automated technology |
| Disciplinas: | Medicina |
| Palabras clave: | Diagnóstico, Microbiología, Inmunología, Mycobacterial infection, VIH, Diagnóstico automatizado, SIDA |
| Keyword: | Medicine, Diagnosis, Microbiology, Mycobacterial infection, HIV, Automated diagnosis, AIDS, Immunology |
| Texto completo: | Texto completo (Ver HTML) |
