Literature DB >> 31707203

Performance of CDC Trioplex qPCR during a dengue outbreak in Brazil.

Tatiana Elias Colombo1, Alice Freitas Versiani2, Karina Rocha Dutra2, Julia Guimarães Dias Rubiato3, Tayna Manfrin Galvão3, Andréia Francesli Negri Reis4, Maurício Lacerda Nogueira5.   

Abstract

BACKGROUND: In recent years real‑time reverse transcription polymerase chain reaction (real-time RT-PCR) has become a leading technique for nucleic acid detection and quantification of flaviviruses, including Dengue virus (DENV). Trioplex real-time RT-PCR has the advantages of providing the concurrent detection of Zika virus (ZIKV), DENV, and Chikungunya virus (CHIKV) RNA in human serum.
OBJECTIVE: This study sought to compare the sensitivity and specificity of the Trioplex real-time RT-PCR assay to those provided by CDC DENV TaqMan® RT-qPCR assay and conventional PCR when used for DENV detection in the context of a dengue epidemic. STUDY
DESIGN: We analyzed 1656 serum samples from symptomatic patients with acute febrile disease for 5 days less between December 2018 and May 2019. The samples were tested using the various PCR-based assays.
RESULTS: Of the 1656 serum samples analyzed, 713 (43%) were laboratory-confirmed as arboviruses: 99.86% (712/713) were confirmed as DENV and 0.14% (1/713) were confirmed as ZIKV. Next, 590 samples were selected, and of these, 331 samples (56.1%) were determined to be positive (Ct < 38) and 259 samples (43.9%) were determined to be negative (Ct > 38) using the Trioplex real-time RT-PCR assay. The multiplex method found that the test exhibits 95% sensitivity and 100% specificity.
CONCLUSION: This evaluation demonstrates the capacity of the Trioplex real-time RT-PCR assay to detect DENV at a high sensitivity and specificity in a geographic area with a current dengue outbreak and a lower co-circulation of other arboviruses - such as ZIKV and CHIKV, and the results prove it´s applicability as clinical screening test that can serve as a confirmatory test.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dengue virus; Detection; Sensitivity; Specificity

Year:  2019        PMID: 31707203     DOI: 10.1016/j.jcv.2019.104208

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  1 in total

Review 1.  Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care.

Authors:  Md Alamgir Kabir; Hussein Zilouchian; Muhammad Awais Younas; Waseem Asghar
Journal:  Biosensors (Basel)       Date:  2021-06-23
  1 in total

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