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Efficacy and validity of automated quantitative chemiluminescent enzyme immunoassay for SARS-CoV-2 antigen test from saliva specimen in the diagnosis of COVID-19.
Asai, Nobuhiro; Sakanashi, Daisuke; Ohashi, Wataru; Nakamura, Akiko; Kawamoto, Yuzuka; Miyazaki, Narimi; Ohno, Tomoko; Yamada, Atsuko; Chida, Sumie; Shibata, Yuichi; Kato, Hideo; Shiota, Arufumi; Hagihara, Mao; Koita, Isao; Yamagishi, Yuka; Suematsu, Hiroyuki; Ohta, Hirotoshi; Mikamo, Hiroshige.
  • Asai N; Department of Clinical Infectious Diseases, Aichi Medical University Hospital, Aichi, Japan; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan; Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
  • Sakanashi D; Department of Clinical Infectious Diseases, Aichi Medical University Hospital, Aichi, Japan; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Ohashi W; Division of Biostatistics, Clinical Research Center, Aichi Medical University Hospital, Japan.
  • Nakamura A; Department of Clinical Infectious Diseases, Aichi Medical University Hospital, Aichi, Japan; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Kawamoto Y; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Miyazaki N; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Ohno T; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Yamada A; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Chida S; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Shibata Y; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Kato H; Department of Clinical Infectious Diseases, Aichi Medical University Hospital, Aichi, Japan; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Shiota A; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Hagihara M; Department of Clinical Infectious Diseases, Aichi Medical University Hospital, Aichi, Japan; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan; Department of Molecular Epidemiology and Biomedical Sciences, Aichi Medical University, Aichi, Japan.
  • Koita I; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Yamagishi Y; Department of Clinical Infectious Diseases, Aichi Medical University Hospital, Aichi, Japan; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Suematsu H; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Ohta H; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan.
  • Mikamo H; Department of Clinical Infectious Diseases, Aichi Medical University Hospital, Aichi, Japan; Department of Infection Control and Prevention, Aichi Medical University Hospital, Japan. Electronic address: mikamo@aichi-med-u.ac.jp.
J Infect Chemother ; 27(7): 1039-1042, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1164052
ABSTRACT

INTRODUCTION:

The pandemic of a novel coronavirus disease 2019 (COVID-19) caused by a severe acute respiratory coronavirus 2 (SARS-CoV-2) infection has been problematic worldwide. A new SARS-CoV-2 antigen test (LUMIPULSEⓇ) was licensed and widely used in Japan since May 2020. We conducted this study intending to whether the automated quantitative CLEIA antigen test using a saliva sample is effective and valid for the diagnosis of COVID-19. PATIENTS AND

METHODS:

We analyzed and compared the diagnostic accuracy of both the automated quantitative CLEIA antigen test and real-time RT-PCR (rRT-PCR) using a saliva sample from individuals suspected as having COVID-19.

RESULTS:

A total of 305 samples were collected and tested in Aichi Medical University Hospital and affiliated facilities from December 2020 until January 2021 at our institute. Using reverse-transcription PCR as a reference, the AUROC of the automated quantitative CLEIA antigen test was 0.903 (95% confidential interval 0.845-0.962, p < 0.001). The appropriate cut-off antigen level was 4.0 pg/mL and had a sensitivity of 77.8%, a specificity of 99.6%, a positive predictive value of 98%, and a negative predictive value of 94.5%. On the other hand, the diagnostic accuracy of the antigen test decreased among patients among patients with COVID-19 with threshold cycle (Ct-value)≥27, which shows the AUROC was 0.795 (95%CI 0.687-0.907, p < 0.001).

CONCLUSION:

While the automated quantitative CLEIA antigen test from saliva specimen could be one of the most useful diagnostic tests for the diagnosis of COVID-19 in general practice, clinicians should know the limitations of the antigen test.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Saliva / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Infect Chemother Journal subject: Microbiology / Drug Therapy Year: 2021 Document Type: Article Affiliation country: J.jiac.2021.03.021

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Saliva / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Infect Chemother Journal subject: Microbiology / Drug Therapy Year: 2021 Document Type: Article Affiliation country: J.jiac.2021.03.021