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ORIGINAL ARTICLE
Year : 2012  |  Volume : 4  |  Issue : 2  |  Page : 106-109

Agreement rate of rapid urease test, conventional PCR, and scorpion real-time PCR in detecting Helicobacter pylori from tonsillar samples of patients with chronic tonsillitis


Cell and Molecular Research Center, Qazvin University of Medical Sciences, Qazvin, Iran

Correspondence Address:
Taghi Naserpour Farivar
Cell and Molecular Research Center, Qazvin University of Medical Sciences, Qazvin
Iran
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Source of Support: Research Division of the Qazvin University of Medical Sciences for funding this research (Project No. 340)., Conflict of Interest: None


DOI: 10.4103/0974-777X.96773

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Background: Helicobacter pylori is capable of inducing systemic inflammatory reactions through immunological processes. There are several methods to identify the presence of H. pylori in clinical samples including rapid urease test (RUT), conventional polymerase chain reaction (PCR), and the Scorpion real-time PCR. Aim: The aim of the present study is to compare the agreement rate of these tests in identifying H. pylori in tonsillar biopsy specimens collected from patients with chronic tonsillitis. Materials and Methods: A total of 103 tonsil biopsy samples from patients with clinical signs of chronic tonsillitis were examined with RUT, PCR, and Scorpion real-time PCR. The degree of agreement between the three tests was later calculated. Results: There was a poor degree of agreement between RUT and PCR and also RUT and Scorpion real-time PCR (Kappa=0.269 and 0.249, respectively). In contrast with RUT, there was a strong degree of agreement between PCR and Scorpion real-time PCR (Kappa=0.970). Conclusion: The presence of a strong agreement between the Scorpion real-time PCR and PCR as well as its technical advantage over the conventional PCR assay, made the Scorpion real-time PCR an appropriate laboratory test to investigate the presence of H. pylori in tonsillar biopsy specimens in patients suffering from chronic tonsillitis.


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2008 Journal of Global Infectious Diseases | Published by Wolters Kluwer - Medknow
Online since 10th December, 2008