Comparative Performance of Digital PCR and Real-Time RT-PCR in Respiratory Virus Diagnostics
<i>Background</i>: Respiratory viral infections pose a major global health burden, and molecular diagnostics such as Real-Time RT-PCR have revealed frequent co-infections. However, precise quantification of viral RNA remains challenging. Digital PCR (dPCR) offers absolute quantification without standard curves and may improve diagnostic accuracy. This study compares dPCR and Real-Time RT-PCR in detecting and quantifying influenza A, influenza B, respiratory syncytial virus (RSV), and SARS-CoV-2 during the 2023-2024 tripledemic. <i>Methods</i>: A total of 123 respiratory samples were analysed and stratified by cycle threshold (Ct) values into high, medium, and low viral load categories. Both dPCR and Real-Time RT-PCR were used to quantify and compare viral loads across these categories. <i>Results</i>: dPCR demonstrated superior accuracy, particularly for high viral loads of influenza A, influenza B, and SARS-CoV-2, and for medium loads of RSV. It showed greater consistency and precision than Real-Time RT-PCR, especially in quantifying intermediate viral levels. <i>Conclusions</i>: These findings highlight the potential of dPCR to enhance respiratory virus diagnostics and support a better understanding of co-infection dynamics. Nonetheless, its routine implementation is currently limited by higher costs and reduced automation compared to Real-Time RT-PCR.
Authors
- Giovanna Pellecchia (ORCID: https://orcid.org/0000-0003-4747-3473)
- Elisabetta Pagani (ORCID: https://orcid.org/0000-0003-1795-601X)
- Maira Nicoletti
- Fabio Vittadello (ORCID: https://orcid.org/0000-0001-8542-5224)
- Elisabetta Maria Incrocci
- Irene Bianconi (ORCID: https://orcid.org/0009-0006-1652-779X)
Institutions
- Eurac Research (IT)
- University of Padua (IT)
- Free University of Bozen-Bolzano (IT)
- Ospedale di Bolzano (IT)
Publication Details
- Journal
- Viruses
- Published
- 2025-09-18
- DOI
- https://doi.org/10.3390/v17091259
- Citations
- 3
- Primary Topic
- Respiratory viral infections research
- Type
- article
- Field-Weighted Citation Impact
- 4.06