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Article: Performance of the new automated Abbott RealTime MTB assay for rapid detection of Mycobacterium tuberculosis complex in respiratory specimens

TitlePerformance of the new automated Abbott RealTime MTB assay for rapid detection of Mycobacterium tuberculosis complex in respiratory specimens
Authors
Issue Date2015
PublisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/10096/index.htm
Citation
European Journal of Clinical Microbiology & Infectious Diseases, 2015, v. 34 n. 9, p. 1827-1832 How to Cite?
AbstractThe automated high-throughput Abbott RealTime MTB real-time PCR assay has been recently launched for Mycobacterium tuberculosis complex (MTBC) clinical diagnosis. This study would like to evaluate its performance. We first compared its diagnostic performance with the Roche Cobas TaqMan MTB assay on 214 clinical respiratory specimens. Prospective analysis of a total 520 specimens was then performed to further evaluate the Abbott assay. The Abbott assay showed a lower limit of detection at 22.5 AFB/ml, which was more sensitive than the Cobas assay (167.5 AFB/ml). The two assays demonstrated a significant difference in diagnostic performance (McNemar’s test; P = 0.0034), in which the Abbott assay presented significantly higher area under curve (AUC) than the Cobas assay (1.000 vs 0.880; P = 0.0002). The Abbott assay demonstrated extremely low PCR inhibition on clinical respiratory specimens. The automated Abbott assay required only very short manual handling time (0.5 h), which could help to improve the laboratory management. In the prospective analysis, the overall estimates for sensitivity and specificity of the Abbott assay were both 100 % among smear-positive specimens, whereas the smear-negative specimens were 96.7 and 96.1 %, respectively. No cross-reactivity with non-tuberculosis mycobacterial species was observed. The superiority in sensitivity of the Abbott assay for detecting MTBC in smear-negative specimens could further minimize the risk in MTBC false-negative detection. The new Abbott RealTime MTB assay has good diagnostic performance which can be a useful diagnostic tool for rapid MTBC detection in clinical laboratories. © 2015, Springer-Verlag Berlin Heidelberg.
Persistent Identifierhttp://hdl.handle.net/10722/220173
ISSN
2023 Impact Factor: 3.7
2023 SCImago Journal Rankings: 1.020
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, JHK-
dc.contributor.authorShe, KKK-
dc.contributor.authorKwong, TC-
dc.contributor.authorWong, OY-
dc.contributor.authorSiu, GKH-
dc.contributor.authorLeung, CC-
dc.contributor.authorChang, KC-
dc.contributor.authorTam, CM-
dc.contributor.authorHo, PL-
dc.contributor.authorCheng, VCC-
dc.contributor.authorYuen, KY-
dc.contributor.authorYam, WC-
dc.date.accessioned2015-10-16T06:31:32Z-
dc.date.available2015-10-16T06:31:32Z-
dc.date.issued2015-
dc.identifier.citationEuropean Journal of Clinical Microbiology & Infectious Diseases, 2015, v. 34 n. 9, p. 1827-1832-
dc.identifier.issn0934-9723-
dc.identifier.urihttp://hdl.handle.net/10722/220173-
dc.description.abstractThe automated high-throughput Abbott RealTime MTB real-time PCR assay has been recently launched for Mycobacterium tuberculosis complex (MTBC) clinical diagnosis. This study would like to evaluate its performance. We first compared its diagnostic performance with the Roche Cobas TaqMan MTB assay on 214 clinical respiratory specimens. Prospective analysis of a total 520 specimens was then performed to further evaluate the Abbott assay. The Abbott assay showed a lower limit of detection at 22.5 AFB/ml, which was more sensitive than the Cobas assay (167.5 AFB/ml). The two assays demonstrated a significant difference in diagnostic performance (McNemar’s test; P = 0.0034), in which the Abbott assay presented significantly higher area under curve (AUC) than the Cobas assay (1.000 vs 0.880; P = 0.0002). The Abbott assay demonstrated extremely low PCR inhibition on clinical respiratory specimens. The automated Abbott assay required only very short manual handling time (0.5 h), which could help to improve the laboratory management. In the prospective analysis, the overall estimates for sensitivity and specificity of the Abbott assay were both 100 % among smear-positive specimens, whereas the smear-negative specimens were 96.7 and 96.1 %, respectively. No cross-reactivity with non-tuberculosis mycobacterial species was observed. The superiority in sensitivity of the Abbott assay for detecting MTBC in smear-negative specimens could further minimize the risk in MTBC false-negative detection. The new Abbott RealTime MTB assay has good diagnostic performance which can be a useful diagnostic tool for rapid MTBC detection in clinical laboratories. © 2015, Springer-Verlag Berlin Heidelberg.-
dc.languageeng-
dc.publisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/10096/index.htm-
dc.relation.ispartofEuropean Journal of Clinical Microbiology & Infectious Diseases-
dc.rightsThe final publication is available at Springer via http://dx.doi.org/10.1007/s10096-015-2419-5-
dc.titlePerformance of the new automated Abbott RealTime MTB assay for rapid detection of Mycobacterium tuberculosis complex in respiratory specimens-
dc.typeArticle-
dc.identifier.emailChen, JHK: jonchk@hku.hk-
dc.identifier.emailKwong, TC: tckwong@hku.hk-
dc.identifier.emailSiu, GKH: gilman06@hkucc.hku.hk-
dc.identifier.emailHo, PL: plho@hkucc.hku.hk-
dc.identifier.emailCheng, VCC: vcccheng@hkucc.hku.hk-
dc.identifier.emailYuen, KY: kyyuen@hkucc.hku.hk-
dc.identifier.emailYam, WC: wcyam@hkucc.hku.hk-
dc.identifier.authorityHo, PL=rp00406-
dc.identifier.authorityYuen, KY=rp00366-
dc.identifier.authorityYam, WC=rp00313-
dc.description.naturepostprint-
dc.identifier.doi10.1007/s10096-015-2419-5-
dc.identifier.pmid26071001-
dc.identifier.scopuseid_2-s2.0-84940437751-
dc.identifier.hkuros255203-
dc.identifier.volume34-
dc.identifier.issue9-
dc.identifier.spage1827-
dc.identifier.epage1832-
dc.identifier.isiWOS:000360223400014-
dc.publisher.placeGermany-
dc.identifier.issnl0934-9723-

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