Performance of Various Lateral Flow SARS-CoV-2 Antigen Self Testing Methods in Healthcare Workers: a Multicenter Study. (preprint)

Introduction: Rapid antigen detection tests (RDT) are suitable for large-scale testing for SARS-CoV-2 among the population and recent studies have shown that self-testing with RDT in the general population is feasible and yields acceptable sensitivities with high specificity. We aimed to determine the accuracy of two different RDT, with two different sample collection methods for one of the RDT among healthcare workers (HCW). Secondary objectives were to determine the accuracy of RDT using a viral load cut-off as proxy of infectiousness and to identify predictors for a false negative RDT. Methods: Centers that participated were secondary care hospitals, academic teaching hospitals, and long-term care facilities. All HCW that met inclusion criteria were asked to perform a RDT self-test next to a regular SARS-CoV-2 nucleic acid amplification test (NAAT). Three study groups were created. Study group 1; Veritor System, Becton Dickinson, Franklin Lakes, USA (BD-RDT) with combined oropharyngeal - mid-turbinate nasal sampling, group 2; BD-RDT with mid-turbinate nasal sampling only and group 3; SD Biosensor SARS-CoV-2 Rapid Antigen Test, Roche, Basel, Switzerland (Roche-RDT) with combined oropharyngeal - mid-turbinate nasal sampling. RDT accuracy was calculated using NAAT as reference standard. For samples processed in the cobas(R) 6800/8800 platform (Roche Diagnostics, Basel, Switzerland), established cycle threshold values (Ct-values) could be converted into viral loads. A viral load cut-off of [≥]5.2 log10 SARS-CoV-2 E gene copies/ml was used as proxy of infectiousness. Logistic regression analysis was performed to identify predictors for a false negative RDT. Results: In total, 7,196 HCW were included. Calculated sensitivities were 61.5% (95%CI 56.6%-66.3%), 50.3% (95%CI 42.8%-57.7%) and 74.2% (95%CI 66.4%-80.9%) for study groups 1, 2 and 3, respectively. After application of a viral load cut-off as a proxy for infectiousness for samples processed in the cobas(R) 6800/8800 platform sensitivities increased to 82.2% (95%CI 76.6-86.9%), 61.9% (95%CI 48.8%-73.9%) and 90.2% (95%CI 76.9%-97.3%) for group 1, group 2 and group 3, respectively. Multivariable regression analysis showed that use of Roche-RDT (p <0.01), combined oropharyngeal - mid-turbinate nasal sampling (p <0.05) and the presence of COVID-19 like symptoms at the time of testing (p <0.01) significantly reduced the likeliness of a false-negative RDT result. Conclusion: SARS-CoV-2 RDT has proven able to identify infectious individuals, especially when upper respiratory specimen is collected through combined oropharyngeal - mid-turbinate sampling. Reliability of self-testing with RDT among HCW seems to depend on the type of RDT, the sampling method and the presence of COVID-19 like symptoms at the time of testing.

Novel SARS-CoV-2 Whole-genome sequencing technique using Reverse Complement PCR enables fast and accurate outbreak analysis (preprint)

Current transmission rates of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are still increasing and many countries are facing second waves of infections. Rapid SARS-CoV-2 whole genome sequencing (WGS) is often unavailable but could support public health organizations and hospitals in monitoring and determining transmission links. Here we report a novel reverse complement polymerase chain reaction (RC-PCR) technology for WGS of SARS-CoV-2. This technique is unique as it enables library preparation in a single PCR saving time, resources and enables high throughput screening. A total of 173 samples tested positive for SARS-CoV-2 between March and September 2020 were included. RC-PCR WGS applicability for outbreak analysis in public health service and hospital settings was tested on six predefined clusters containing samples of healthcare workers and patients. RC-PCR resulted in WGS data for 146 samples. It showed a genome coverage of up to 98,2% for samples with a maximum Ct value of 32. Three out of six suspected clusters were fully confirmed, while in other clusters four healthcare workers were not associated. Importantly, a previously unknown chain of transmission was confirmed in the public health service samples. These findings confirm the reliability and applicability of the RC-PCR technology for SARS-CoV-2 sequencing in outbreak analysis and surveillance.