{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T18:37:51Z","timestamp":1767206271178,"version":"build-2238731810"},"reference-count":29,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T00:00:00Z","timestamp":1761523200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Kogen Biotech","award":["KO 2024-001"],"award-info":[{"award-number":["KO 2024-001"]}]}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background\/Objectives: Acute respiratory infections remain a major global public health concern affecting individuals across all ages. Accurate and rapid diagnosis of respiratory pathogens is crucial for effective patient management and infection control. Multiplex real-time polymerase chain reaction (PCR) assays have gained prominence over conventional methods for routine viral detection in clinical laboratories owing to their enhanced sensitivity and specificity; however, comparative performance data for PowerChek\u2122 RVP remain limited. This study aimed to evaluate the diagnostic performance of the PowerChek\u2122 Respiratory Virus Panel 1\/2\/3\/4, which detects 16 respiratory viruses, including SARS-CoV-2, in nasopharyngeal swab (NPS) specimens. Methods: Overall, 336 NPS specimens were analyzed using the PowerChek\u2122 RVP, BioFire\u00ae RP 2.1plus, and Allplex\u2122 RP assays, with nucleic acid extraction performed using the Advansure\u2122 E3 system. The performance metrics were calculated using two-by-two contingency tables. Results: Among 336 NPS specimens (232 positive, 104 negative), PowerChek\u2122 RVP detected 226 positives with minimal discrepancies, showing high concordance with BioFire\u00ae RP 2.1plus (accuracy 94.6%, kappa 0.843\u20131.000). Fifteen discordant cases were identified in this study. Eleven could not be sequenced because of amplification failure and most had high Ct values (&gt;30). Sequencing of four samples confirmed concordance with BioFire\u00ae RP 2.1plus and PowerChek\u2122 RVP, whereas Allplex\u2122 RP showed false-negative results. Conclusions: The PowerChek\u2122 RVP assay demonstrated a high level of relative sensitivity, specificity, accuracy, diagnostic predictive values and strong concordance with comparable reference assays in identifying its targets. This assay is a reliable and efficient diagnostic tool for clinical laboratories to facilitate the accurate identification of respiratory pathogens.<\/jats:p>","DOI":"10.3390\/diagnostics15212713","type":"journal-article","created":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T13:59:36Z","timestamp":1761659976000},"page":"2713","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Evaluation of the PowerChek\u2122 Respiratory Virus Panel 1\/2\/3\/4 for the Detection of 16 Respiratory Viruses: A Comparative Study with the Allplex\u2122 Respiratory Panel Assay 1\/2\/3 and BioFire\u00ae Respiratory Panel 2.1 plus"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4564-4041","authenticated-orcid":false,"given":"Hyeongyu","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Laboratory Medicine, Wonju College of Medicine, Yonsei University, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rokeya","family":"Akter","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Wonju College of Medicine, Yonsei University, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4036-8443","authenticated-orcid":false,"given":"Jong-Han","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Wonju College of Medicine, Yonsei University, Wonju 26426, Republic of Korea"},{"name":"Research Institute of Metabolism and Inflammation, Wonju College of Medicine, Yonsei University, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8460-7111","authenticated-orcid":false,"given":"Sook Won","family":"Ryu","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, School of Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1204","DOI":"10.1016\/S0140-6736(20)30925-9","article-title":"Global burden of 369 diseases and injuries in 204 countries and territories, 1990\u20132019: A systematic analysis for the Global Burden of Disease Study 2019","volume":"396","author":"Diseases","year":"2020","journal-title":"Lancet"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Avenda\u00f1o Carvajal, L., and Perret P\u00e9rez, C. 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