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A rapid and cost-effective diagnostic algorithm for the detection of SARS-CoV-2 infection in the emergency area by combining highly sensitive antigenic test and RT-PCR.
Salvetti, Sara; Lavinia, Federica; Rosi, Nico; Vanni, Simone; Masotti, Luca; Tarquini, Roberto; Guarducci, Silvia; Rossolini, Gian Maria; Montenora, Iolanda.
Afiliação
  • Salvetti S; Microbiology Unit, San Giuseppe Hospital, Empoli, FI, Italy. Electronic address: sara.salvetti@uslcentro.toscana.it.
  • Lavinia F; Microbiology Unit, San Giuseppe Hospital, Empoli, FI, Italy.
  • Rosi N; Emergency Department, San Giuseppe Hospital, Empoli, FI, Italy.
  • Vanni S; Emergency Department, San Giuseppe Hospital, Empoli, FI, Italy.
  • Masotti L; Internal Medicine II, San Giuseppe Hospital, Empoli, FI, Italy.
  • Tarquini R; Internal Medicine I, San Giuseppe Hospital, Empoli, FI, Italy.
  • Guarducci S; Management Unit, San Giuseppe Hospital, Empoli, FI, Italy.
  • Rossolini GM; Department of Experimental and Clinical Medicine, University of Florence, FI, Italy; Microbiology and Virology Unit, Careggi University Hospital, FI, Italy.
  • Montenora I; Microbiology Unit, San Giuseppe Hospital, Empoli, FI, Italy.
Diagn Microbiol Infect Dis ; 103(4): 115727, 2022 Aug.
Article em En | MEDLINE | ID: mdl-35700658
ABSTRACT
A diagnostic algorithm for SARS-CoV-2 infection in patients admitted to the emergency area, based on a combination of rapid antigen and molecular testing, has been evaluated with 3070 nasopharyngeal swabs. Compared to molecular test alone, the proposed algorithm allowed to significantly reduce costs and average time to results.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article