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Comparative diagnostic performance of rapid antigen detection tests for COVID-19 in a hospital setting

Bianca Bruzzone, Vanessa De Pace, Patrizia Caligiuri, Valentina Ricucci, Giulia Guarona, Beatrice Marina Pennati, Simona Boccotti, Andrea Orsi, Alexander Domnich, Giorgio Da Rin, Giancarlo Icardi

2021International Journal of Infectious Diseases39 citationsDOIOpen Access PDF

Abstract

BACKGROUND: The availability of accurate and rapid diagnostic tools for COVID-19 is essential for tackling the ongoing pandemic. Our study aimed to quantify the performance of available antigen-detecting rapid diagnostic tests (Ag-RDTs) in a real-world hospital setting. METHODS: In this retrospective analysis, the diagnostic performance of 7 Ag-RDTs was compared with real-time reverse transcription quantitative polymerase chain reaction assay in terms of sensitivity, specificity and expected predictive values. RESULTS: A total of 321 matched Ag-RDTreal-time reverse transcription quantitative polymerase chain reaction samples were analyzed retrospectively. The overall sensitivity and specificity of the Ag-RDTs was 78.7% and 100%, respectively. However, a wide range of sensitivity estimates by brand (66.0%-93.8%) and cycle threshold (Ct) cut-off values (Ct <25: 96.2%; Ct 30-35: 31.1%) was observed. The optimal Ct cut-off value that maximized sensitivity was 29. CONCLUSIONS: The routine use of Ag-RDTs may be convenient in moderate-to-high intensity settings when high volumes of specimens are tested every day. However, the diagnostic performance of the commercially available tests may differ substantially.

Topics & Concepts

MedicineDiagnostic testCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Retrospective cohort studyReverse transcription polymerase chain reactionPredictive valuePredictive value of testsPolymerase chain reactionDiagnostic accuracyInternal medicineEmergency medicineInfectious disease (medical specialty)BiologyDiseaseGeneMessenger RNABiochemistrySARS-CoV-2 detection and testingBiosensors and Analytical DetectionSARS-CoV-2 and COVID-19 Research
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