- Poster presentation
- Open Access
Pandemic (H1N1) 2009 influenza A in Universiti Kebangsaan Malaysia Medical Centre in 2009-2010: laboratory diagnostic test methods and lessons learned
© Zainol Rashid et al; licensee BioMed Central Ltd. 2011
- Published: 29 June 2011
- Diagnostic Method
- Epidemiologic Data
- Patient Management
- Seasonal Influenza
Pandemic (H1N1) 2009 Influenza A virus has moved into the post-pandemic period since August 2010. Various laboratory diagnostic methods are available to assist patient management. The study aimed to assess influenza trends in this centre during and post-pandemic and the performance of rapid influenza antigen diagnostic tests (RIDT).
Data from August 2009 to December 2010 were collected. In high-risk patients and those with moderate to severe influenza-like illness (ILI), diagnosis of influenza A and pandemic (H1N1) influenza were confirmed by real-time reverse-transcription polymerase chain reaction (rRT-PCR) by Roche LightCycler® 2.0 system. Seven RIDTs were used and results were compared with rRT-PCR to assess performance.
In total, 733 respiratory specimens were tested from August to December 2009, where 165 (22.5%) were H1N1 influenza while 170 (23.2%) were seasonal influenza A. In 2010, out of 871 specimens tested, only 46 (5.3%) were H1N1 influenza while 97 (11.1%) were seasonal influenza A. RIDTs done on 1003 out of 1604 specimens showed low or variable sensitivities and negative predictive values, and generally high specificities and positive predictive values.
In post-pandemic period, H1N1 influenza continues to circulate at low levels. A proportion of patients with ILI may require further diagnostic tests for other respiratory pathogens since only a small percentage were confirmed as influenza by rRT-PCR. RIDTs have low sensitivities and negative results should be confirmed with more sensitive methods. Based on the limitations and advantages of the tests, clinical and epidemiologic data is integral in patient assessment and interpretation of results.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.