Pregled bibliografske jedinice broj: 675913
Evaluation of Xpert MTB/RIF assay for rapid molecular diagnosis of tuberculosis in a two-year period in Croatia
Evaluation of Xpert MTB/RIF assay for rapid molecular diagnosis of tuberculosis in a two-year period in Croatia // International journal of mycobacteriology, 2 (2013), 3; 179-182 doi:10.1016/j.ijmyco.2013.05.003 (međunarodna recenzija, članak, znanstveni)
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Naslov
Evaluation of Xpert MTB/RIF assay for rapid molecular diagnosis of tuberculosis in a two-year period in Croatia
Autori
Zmak, Ljiljana ; Janković, Mateja ; Katalinić-Janković, Vera
Izvornik
International journal of mycobacteriology (2212-5531) 2
(2013), 3;
179-182
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Xpert MTB/RIF assay ; Tuberculosis ; Molecular methods ; Rapid diagnosis
Sažetak
Mycobacterium tuberculosis remains a major global health problem and is currently killing 1.5 million people every year. One of the most important steps in tuberculosis control is the rapid and accurate laboratory diagnosis. The Xpert MTB/RIF assay is a novel molecular, easy-to-use assay, which can lead to tuberculosis identification in less than 2h. In this study, the Xpert MTB/RIF assay performance for rapid diagnosis of tuberculosis was evaluated in comparison with conventional culture methods ; 361 pulmonary and extrapulmonary patient samples were collected between October 2010 and October 2012 and were analyzed at the National Reference laboratory for Mycobacteria, Zagreb, Croatia. For pulmonary samples the sensitivity and specificity were 86% and 100%, while for extrapulmonary samples the sensitivity and specificity were 75% and 99%, respectively. It was concluded that Xpert MTB/RIF assay has high sensitivity and specificity for both pulmonary and extrapulmonary specimens.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Hrvatski zavod za javno zdravstvo,
Klinika za plućne bolesti "Jordanovac"
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus