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ORIGINAL ARTICLE
Year : 2014  |  Volume : 6  |  Issue : 3  |  Page : 109-113

Clinical applicability of various dengue diagnostic tests in resource-limited endemic settings


Department of Virology, Post Graduate Institute of Medical Education and Research, Chandigarh, India

Correspondence Address:
Baijayantimala Mishra
Department of Virology, Post Graduate Institute of Medical Education and Research, Chandigarh
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0974-777X.138504

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Introduction: Dengue is one of the most important arboviral infections caused by one of the four dengue serotypes, 1-4. Objective: To study the applicability of different diagnostic methods in diagnosis of dengue viral infection. Materials and Methods: A total of 2101 blood samples were collected for confirmation of dengue viral infection. All the samples were tested by dengue-specific IgM ELISA, of which 111 were also tested for NS1 antigen detection and 27 acute samples (≤5 days) were further subjected for viral RNA detection by RT-PCR and isolation in C6/36 cell line. To detect the sensitivity of NS1 antigen for different dengue virus serotypes, four dengue serotype 1 and 12 dengue 3 were subjected for the NS1 antigen assay. Results: Most common age group affected was 16-45 years, with male to female ratio of 2.8:1. During first 3 days of illness virus isolation and RT-PCR were the most sensitive (83%) followed by NS1 antigen detection (75%) and IgM detection (37.5%). The positivity of IgM detection was found to be significantly higher as compared to NS1 detection during 4 to 5 days and also after 5 days of illness (P < 0.05). Dengue serotypes 1 and 3 were found to be co-circulated, dengue 1 being the predominant serotype. Conclusion: Virus isolation and RT-PCR were the most sensitive tests during the early period of illness whereas beyond third day, IgM antibody detection was found to be the most sensitive method of dengue diagnosis.


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