Diagnosis of Viral Infections 2.0

A special issue of Microorganisms (ISSN 2076-2607). This special issue belongs to the section "Virology".

Deadline for manuscript submissions: closed (20 August 2023) | Viewed by 1758

Special Issue Editor


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Guest Editor
Institute of Microbiology, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
Interests: diagnostic stewardship; diagnostic virology; rapid susceptibility testing; blood stream infections; antimicrobial resistance
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Special Issue Information

Dear Colleagues,

The recent viral pandemic has highlighted the strengths and weaknesses of the laboratory diagnostics of viral infections, as well as the challenges in clinical diagnosis and management. The debates on the choices of diagnostic tests have become increasingly heated, and never before has the interaction between diagnostics, clinic, and epidemiology become so close and important. Given that cellular stress can occur during viral infections and considering the important role of the immune system on the body’s response to viral infections, inflammation and immune markers are also of great interest in current research in the field.

This Special Issue aims to collect the latest research regarding clinical and laboratory insights into the diagnosis of viral infections. We welcome original research articles as well as review articles. Small reviews, including communications and opinions regarding future perspectives on laboratory diagnosis (e.g., metagenomics, artificial intelligence, machine learning) are also welcome.

Dr. Giorgia Caruana
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Microorganisms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • viral infection
  • diagnostic stewardship
  • diagnostic virology
  • antigen tests
  • PCR
  • metagenomics
  • serology
  • inflammation markers
  • immunological markers

Published Papers (1 paper)

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7 pages, 564 KiB  
Brief Report
Evaluation of a New Standardized Nasal Sampling Method for Detection of SARS-CoV-2 RNA via RT-PCR
by Johannes G. M. Koeleman, Sander Mol, Henk Brand and David S. Y. Ong
Microorganisms 2024, 12(1), 210; https://doi.org/10.3390/microorganisms12010210 - 20 Jan 2024
Viewed by 891
Abstract
The aim of this study was to compare the diagnostic accuracy of nasal sampling using a novel anterior nasal swab (ANS) (Rhinoswab) versus combined oro-nasopharyngeal (OP/NP) sampling in COVID-19 suspected patients. This prospective observational study was performed from 11 November to 2 December [...] Read more.
The aim of this study was to compare the diagnostic accuracy of nasal sampling using a novel anterior nasal swab (ANS) (Rhinoswab) versus combined oro-nasopharyngeal (OP/NP) sampling in COVID-19 suspected patients. This prospective observational study was performed from 11 November to 2 December 2021 (part 1), and from 16 January to 22 February 2022 (part 2). Adult patients who attended the emergency room with suspected COVID-19 were asked to participate. One ANS and one OP/NP sample were consecutively collected, and both were analyzed via reverse transcription polymerase chain reaction (RT-PCR). The result of the OP/NP sample was considered to be the reference standard. A total of 412 patients were included, of whom 171 (41.5%) had a positive RT-PCR of the OP/NP swab, whereas 139 (33.7%) were positive on the ANS sample. The overall diagnostic accuracy for ANS sampling in terms of sensitivity, specificity, positive predictive value, and negative predictive value was 80.7% (95% CI 73.8–86.2), 99.6% (95% CI 97.3–100), 99.3% (95% CI 95.5–100), and 87.9% (95% CI 83.3–91.4), respectively. In conclusion, ANS sampling with the Rhinoswab identified 80.7% of all presented COVID-19 patients in an emergency department. Future studies should investigate if nasal Rhinoswab self-sampling is suitable for reliable diagnosis of COVID-19 in an outpatient setting. Full article
(This article belongs to the Special Issue Diagnosis of Viral Infections 2.0)
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