PLoS ONE (Jan 2022)

Comparing the cobas Influenza A/B Nucleic acid test for use on the cobas Liat System (Liat) with rapid antigen tests for clinical management of Japanese patients at the point of care.

  • Hiroshige Mikamo,
  • Yusuke Koizumi,
  • Yuka Yamagishi,
  • Nobuhiro Asai,
  • Yuko Miyazono,
  • Toshikazu Shinbo,
  • Michiko Horie,
  • Kenichi Togashi,
  • Elissa M Robbins,
  • Nobuo Hirotsu

DOI
https://doi.org/10.1371/journal.pone.0276099
Journal volume & issue
Vol. 17, no. 10
p. e0276099

Abstract

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BackgroundRapid diagnosis of influenza is critical in preventing the spread of infection and ensuring patients quickly receive antiviral medication to reduce the severity and duration of influenza symptoms, whilst controlling the spread of the causative virus. In Japan patients are often administered anti-influenza medication following a positive rapid antigen detection test (RADT) result. However, the sensitivity of RADTs can lead to false negative results. The cobas® Influenza A/B Nucleic acid test for use on the cobas Liat® System (Liat) is a molecular point-of-care method that can provide a more sensitive alternative to RADTs for rapid influenza diagnosis and treatment.MethodsIn this prospective multicenter study, diagnostic performance of the Liat test was compared with RADTs in patients presenting with influenza-like-illness. Test performance was also assessed by time since symptom onset.ResultsOf 419 patients enrolled, 413 were evaluable for all designated tests. Most patients had type-A infection, and only one patient had influenza type B. In 413 patients, the sensitivity and specificity (95% CI) of the Liat test were 99.5% (97.2-99.9%) and 99.5% (97.4-99.9%), respectively, and were 79.7% (73.5-84.7%) and 95.4% (91.7-97.5%) for RADTs. For patients tested ConclusionOverall, compared with standard of care RADTs, the Liat test was more sensitive and specific in children and adults, particularly in the early stages of infection. Greater sensitivity can enable earlier diagnosis and may better inform appropriate antiviral treatment decisions.