International Journal of Infectious Diseases (Mar 2024)

Synergistic impact of N-antigenemia profiled by a rapid antigen test and low anti-S1 antibodies on the risk of hospitalization in COVID-19

  • Amanda de la Fuente,
  • Tamara Postigo,
  • Francisco Sanus Ferri,
  • Marta Domínguez-Gil,
  • Jesús Álvarez-Manzanares,
  • Jose María Eiros,
  • Virginia Carbajosa Rodríguez,
  • Susana Sanchez Ramon,
  • Alicia Ortega,
  • Laura N. Fadrique Millán,
  • Luis Mario Vaquero-Roncero,
  • Carmen Esteban-Velasco,
  • Elena Navarro-Matías,
  • Ferran Barbé,
  • Jesús F. Bermejo-Martin,
  • Raul Lopez-Izquierdo

Journal volume & issue
Vol. 140
pp. 132 – 135

Abstract

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Objectives: Identifying patients with COVID-19 who are at risk of poor evolution is key to early decide on their hospitalization. We evaluated the combined impact of nucleocapsid (N)-antigenemia profiled by a rapid test and antibodies against the S1 subunit of the SARS-CoV S protein (S1) on the hospitalization risk of patients with COVID-19. Methods: N-antigenemia and anti-S1 antibodies were profiled at admission to the emergency department in 146 patients with COVID-19 using the Panbio® antigen Rapid Test and the SARS-CoV-2 immunoglobulin G II Quant/SARS-CoV-2 immunoglobulin G assay from Abbott. A multivariable analysis was used to evaluate the impact of these factors on hospitalization. Results: Patients with a positive N-antigen test in plasma and anti-S1 levels <2821 arbitrary units/mL needed hospitalization more frequently (20 of 23, 87%). A total of 20 of 71 (28.2%) of those showing a negative N-antigen test and anti-S1 ≥2821 arbitrary units/mL were hospitalized for 18 of 52 (34.6%) of the patients with only one of these conditions. Patients with a positive N-antigen test and low antibody levels showed an odds ratio, 95% confidence interval, and P-value for hospitalization of 18.21, 2.74-121.18, and 0.003, respectively, and exhibited the highest mortality (30.4%). Conclusions: Simultaneous profiling of a rapid N-antigen test in plasma and anti-S1 levels could help to early identify patients with COVID-19 needing hospitalization.

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