Literature DB >> 20662619

Sensitivity of rapid influenza antigen tests in the diagnosis of pandemic (H1N1)2009 compared with the standard rRT-PCR technique during the 2009 pandemic in Turkey.

Meral Akcay Ciblak1, Melis Kanturvardar, Serkan Asar, Emel Bozkaya, O Sadi Yenen, Selim Badur.   

Abstract

The real-time reverse transcription polymerase chain reaction (rRT-PCR) technique has been used as the reference technique for the diagnosis of pandemic (H1N1)2009 virus infections. However, rapid influenza diagnostics tests (RIDTs) have been considered in the diagnosis of pandemic (H1N1)2009 by some healthcare institutions in Turkey due to their ease of use and generation of fast results. Nevertheless, their low sensitivity has caused concern during the control of the pandemic. This study aimed to determine the sensitivity of 4 different rapid tests available on the market in Turkey in the diagnosis of pandemic (H1N1)2009 infections compared to the reference rRT-PCR technique. One hundred and four patient samples that tested positive and 88 samples that tested negative for pandemic (H1N1)2009 by rRT-PCR were tested with RIDTs available on the market. The sensitivity of the rapid tests ranged from 31.7% to 50% depending on the brand of RIDT. Specificity ranged from 97.7% to 100%. Currently available RIDTs are not sensitive enough and could lead physicians to delay the treatment of patients, adversely affecting control efforts to mitigate the pandemic. Therefore, these tests should only be used for screening, and negative results should not rule out influenza. More sensitive and rapid point-of-care techniques are needed to meet the demands of point-of-care testing.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20662619     DOI: 10.3109/00365548.2010.502903

Source DB:  PubMed          Journal:  Scand J Infect Dis        ISSN: 0036-5548


  3 in total

1.  A host-based RT-PCR gene expression signature to identify acute respiratory viral infection.

Authors:  Aimee K Zaas; Thomas Burke; Minhua Chen; Micah McClain; Bradly Nicholson; Timothy Veldman; Ephraim L Tsalik; Vance Fowler; Emanuel P Rivers; Ronny Otero; Stephen F Kingsmore; Deepak Voora; Joseph Lucas; Alfred O Hero; Lawrence Carin; Christopher W Woods; Geoffrey S Ginsburg
Journal:  Sci Transl Med       Date:  2013-09-18       Impact factor: 17.956

2.  A clinical diagnostic model for predicting influenza among young adult military personnel with febrile respiratory illness in Singapore.

Authors:  Vernon J Lee; Jonathan Yap; Alex R Cook; Chi Hsien Tan; Jin-Phang Loh; Wee-Hong Koh; Elizabeth A S Lim; Jasper C W Liaw; Janet S W Chew; Iqbal Hossain; Ka Wei Chan; Pei-Jun Ting; Sock-Hoon Ng; Qiuhan Gao; Paul M Kelly; Mark I Chen; Paul A Tambyah; Boon Huan Tan
Journal:  PLoS One       Date:  2011-03-02       Impact factor: 3.240

Review 3.  Diagnosing Viral and Atypical Pathogens in the Setting of Community-Acquired Pneumonia.

Authors:  Grant W Waterer
Journal:  Clin Chest Med       Date:  2016-12-21       Impact factor: 2.878

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.