Title |
Performance of an in-house real-time polymerase chain reaction for identification of Mycobacterium tuberculosis isolates in laboratory routine diagnosis from a high burden setting
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Published in |
Memórias do Instituto Oswaldo Cruz, September 2016
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DOI | 10.1590/0074-02760160048 |
Pubmed ID | |
Authors |
Juliana Failde Gallo, Juliana Maira Watanabe Pinhata, Erica Chimara, Maria Gisele Gonçalves, Lucila Okuyama Fukasawa, Rosangela Siqueira de Oliveira |
Abstract |
Brazil is one of the high burden countries for tuberculosis, and a rapid diagnosis is essential for effective control of the disease. In the present study, an in-house real-time polymerase chain reaction (PCR) assay targeting the mpt64 gene for identification of Mycobacterium tuberculosis complex isolates was evaluated under routine diagnosis conditions in a reference laboratory. From May 2011 to July 2012, 1,520 isolates of mycobacteria were prospectively submitted for phenotypic and/or PRA-hsp65 identification and to real-time PCR. The mpt64 real-time PCR showed 99.7% sensitivity and 96% specificity and detected 79.4% of the cases missed by phenotypic and PRA-hsp65 identification. The in-house real-time PCR assay showed high sensitivity and specificity and was successfully implemented in the routine diagnosis of tuberculosis in a reference laboratory from a high burden setting. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 4 | 20% |
Student > Ph. D. Student | 3 | 15% |
Student > Bachelor | 2 | 10% |
Student > Postgraduate | 2 | 10% |
Professor > Associate Professor | 1 | 5% |
Other | 0 | 0% |
Unknown | 8 | 40% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 5 | 25% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
Medicine and Dentistry | 2 | 10% |
Agricultural and Biological Sciences | 1 | 5% |
Veterinary Science and Veterinary Medicine | 1 | 5% |
Other | 0 | 0% |
Unknown | 9 | 45% |