Diagnostic Accuracy of Five Molecular Assays for the Detection of Dengue Virus
<i>Background and Objectives</i>: The steady spread of dengue virus (DENV) poses a profound public health threat worldwide. Reverse transcription real-time polymerase chain reaction (RT2-PCR) has been increasingly recognized as a reference method for the diagnosis of acute dengue infection. The goal of this study was to assess the diagnostic accuracy of five different RT2-PCR kits for the detection of DENV in a historically processed set of sera samples. <i>Materials and Methods</i>: In this retrospective study, 25 sera samples from routinely processed unique adult patients with a known DENV status (previously tested in both molecular and serological assays) were tested in parallel using four conventional (RealStar Dengue PCR Kit 3.0, Clonit'ngo Zika, Dengue & Chikungunya, BioPerfectus Zika Virus/Dengue Virus/Chikungunya Virus Real Time PCR Kit and Novaplex Tropical fever virus) and one sample-to-result (STANDARD M10 Arbovirus Panel) RT2-PCR assays. Additionally, an end-point dilution analysis was conducted in quintuplicate on six serial dilutions of an RNA preparation obtained from a culture-grown DENV serotype 1 strain for a total of 150 tests. <i>Results</i>: The overall accuracy of the evaluated tests ranged from 84% to 100%. In particular, the sensitivity of three conventional RT2-PCR assays (RealStar, Clonit'ngo and Novaplex) was 100% (95% CI: 79.6-100%), while it was lower (73.3%; 95% CI: 48.1-89.1%) for the BioPerfectus kit. The sample-to-result STANDARD M10 panel performed comparatively well, showing a sensitivity of 92.9% (95% CI: 68.5-98.7%). No false positive results were registered in any assay. The end-point dilution analysis suggested that the RealStar kit had the lowest limit of detection. <i>Conclusions</i>: Available RT2-PCR kits for the detection of DENV are highly specific and generally sensitive and, therefore, their implementation in diagnostic pathways is advisable.
Authors
- Valentina Ricucci
- Chiara Fraccalvieri
- Bianca Bruzzone (ORCID: https://orcid.org/0000-0002-3456-1899)
- N Randazzo
- Alexander Domnich (ORCID: https://orcid.org/0000-0001-9608-8892)
- Giada Garzillo
- Miriana Lucente
- Barbara Galano
- Elvira Massaro (ORCID: https://orcid.org/0009-0002-1279-6168)
- Marianna Scarpaleggia (ORCID: https://orcid.org/0009-0000-0916-6988)
Institutions
- Ospedale Policlinico San Martino (IT)
- University of Genoa (IT)
Publication Details
- Journal
- Medicina
- Published
- 2024-09-23
- DOI
- https://doi.org/10.3390/medicina60091557
- Citations
- 5
- Primary Topic
- Mosquito-borne diseases and control
- Type
- article
- Field-Weighted Citation Impact
- 2.71