High Diagnostic Accuracy of a Novel Lateral Flow Assay for the Point-of-Care Detection of SARS-CoV-2

Author:

Giberti Irene,Costa Elisabetta,Domnich AlexanderORCID,Ricucci Valentina,De Pace VanessaORCID,Garzillo Giada,Guarona GiuliaORCID,Icardi GiancarloORCID

Abstract

Highly accurate lateral flow immunochromatographic tests (LFTs) are an important public health tool to tackle the ongoing COVID-19 pandemic. The aim of this study was to assess the comparative diagnostic performance of the novel ND COVID-19 LFT under real-world conditions. A total of 400 nasopharyngeal swab specimens with a wide range of viral loads were tested in both reverse-transcription polymerase chain reaction and ND LFT. The overall sensitivity and specificity were 85% (95% CI: 76.7–90.7%) and 100% (95% CI: 98.7–100%), respectively. There was a clear association between the false-negative rate and sample viral load: the sensitivity parameters for specimens with cycle threshold values of <25 (>3.95 × 106 copies/mL) and ≥30 (≤1.29 × 105 copies/mL) were 100% and 50%, respectively. The performance was maximized in testing samples with viral loads ≥1.29 × 105 copies/mL. These findings suggest that the ND LFT is sufficiently accurate and useful for mass population screening programs, especially in high-prevalence and resource-constrained settings or during periods when the epidemic curve is rising. Other public health implications were also discussed.

Funder

NDFOS

Publisher

MDPI AG

Subject

General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

Reference35 articles.

1. Detection of SARS-CoV-2 at the point of care

2. Diagnostics for SARS-CoV-2 infections

3. Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection;Dinnes;Cochrane Database Syst. Rev.,2021

4. Recent advances and challenges of RT-PCR tests for the diagnosis of COVID-19

5. Assay Techniques and Test Development for COVID-19 Diagnosis

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