Autor: |
Filippo Lagi, Sasha Trevisan, Matteo Piccica, Lucia Graziani, Gregorio Basile, Jessica Mencarini, Beatrice Borchi, Lorenzo Menicacci, Micol Vaudo, Valentina Scotti, Alessia Fabbri, Giulia Bandini, Camilla Tozzetti, Andrea Berni, Noemi Aiezza, Giulia Pestelli, Valerio Turchi, Alberto Moggi Pignone, Loredana Poggesi, Carlo Nozzoli, Alessandro Morettini, Gian Maria Rossolini, Alessandro Bartoloni |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
International Journal of Infectious Diseases, Vol 108, Iss , Pp 231-236 (2021) |
Druh dokumentu: |
article |
ISSN: |
1201-9712 |
DOI: |
10.1016/j.ijid.2021.04.065 |
Popis: |
Objective: Evaluate the real-world accuracy of Myxovirus resistance protein A (MxA) detected by the rapid, point-of-care FebriDx test during the second-wave pandemic in Italy in patients with acute respiratory infection (ARI) and a clinical suspicion of COVID-19. Design and methods: Prospective, observational, diagnostic accuracy study whereby hospitalized patients with ARI were consecutively enrolled in a single tertiary care center in Italy from August 1, 2020 to January 31, 2021. Results: COVID-19 was diagnosed in 136/200 (68.0%) patients and Non-COVID-19 was diagnosed in 64/200 (32.0%) patients. COVID-19 patients were younger and had a lower Charlson comorbidity index compared to Non-COVID-19 patients (p < 0.001). Concordance between FebriDx, MxA and rt-PCR for SARS-CoV-2 (gold standard) was good (k 0.93, 95% CI 0.87–0.99). Overall sensitivity and specificity were 97.8% [95% CI 93.7–99.5] and 95.3% [95% CI 86.9%–99.0%], respectively. FebriDx demonstrated a negative predictive value of 95.3% (95% CI 86.9–99.0) for an observed disease prevalence of 68%. Conclusions: FebriDx MxA showed high diagnostic accuracy to identify COVID-19 and could be considered as a real-time triage tool to streamline the management of suspected COVID-19 patients. FebriDx also detected bacterial etiology in Non-COVID-19 patients suggesting good performance to distinguish bacterial from viral respiratory infection. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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