| Literature DB >> 32781008 |
Lauren Garnett1, Alexander Bello2, Kaylie N Tran2, Jonathan Audet2, Anders Leung2, Zachary Schiffman1, Bryan D Griffin2, Nikesh Tailor2, Darwyn Kobasa1, James E Strong3.
Abstract
On March 11, 2020, the World Health Organization (WHO) assessed COVID-19, caused by SARS-CoV-2, as a pandemic. As of June 1, 2020, SARS-CoV-2 has had a documented effect of over 6 million cases world-wide, amounting to over 370,000 deaths (World Health Organization, 2020. Novel Coronavirus (COVID-19) Situation. http://https://covid19.who.int/). Consequently, the high demand for testing has resulted in a depletion of commercially available consumables, including the recommended swabs and viral transport media (VTM) required for nasopharyngeal sampling. Therefore, the potential use of unvalidated alternatives must be explored to address the global shortage of testing supplies. To tackle this issue, we evaluated the utility of different swabs and transport mediums for the molecular detection of SARS-CoV-2. This study compared the performance of six swabs commonly found in primary and tertiary health care settings (PurFlock Ultra, FLOQSwab, Puritan Pur-Wraps cotton tipped applicators, Puritan polyester tipped applicators, MedPro 6" cotton tipped applicators, and HOLOGIC Aptima) for their efficacy in testing for SARS-CoV-2. Separately, the molecular detection of SARS-CoV-2 was completed from different transport mediums (DMEM, PBS, 100 % ethanol, 0.9 % normal saline and VTM), which were kept up to three days at room temperature (RT). The results indicate that there is no meaningful difference in viral yield from different swabs and most transport mediums for the collection and detection of SARS-CoV-2, indicating swab and medium alternatives could be used if supplies run out.Entities:
Keywords: Diagnostic testing; SARS-CoV-2; Swab
Mesh:
Year: 2020 PMID: 32781008 PMCID: PMC7414358 DOI: 10.1016/j.jviromet.2020.113947
Source DB: PubMed Journal: J Virol Methods ISSN: 0166-0934 Impact factor: 2.014
Posterior estimates of the mean sampled volume for each swab.
| Swab | Swab Material | Shaft Material | Median (uL) | Lower 95 % HPDI (uL) | Upper 95 % HPDI (uL) |
|---|---|---|---|---|---|
| Puritan 5.5" Cotton Swab | Cotton | Aluminum | 13.4 | 5.1 | 23 |
| Hologic Aptima Multitest | Synthetic | Polystyrene | 26 | 17.5 | 37 |
| FLOQSwab | Synthetic | Polystyrene | 25 | 20 | 31 |
| PurFLock Ultra | Synthetic | Polystyrene | 115 | 104 | 126 |
| Puritan Standard Polyester Tip | Synthetic | Polystyrene | 127 | 114 | 141 |
| MedPro Cotton Tipped | Cotton | Wooden | 218 | 202 | 233 |
Fig. 1Comparison analysis of six different swabs efficacy in detecting SARS-CoV-2 RNA at concentrations from 5.5 × 105 down to 5.5 × 10−4 PFU/ mL. Inactivation and RNA extraction of SARS-CoV-2 virus dilutions (pink) was used as a control. The dark line shows the expected average Cq based on the posterior median of the slope and intercept parameters. The transparent lines present 100 random draws from the posterior distribution, providing a visual estimate of the uncertainty around the mean.
Posterior estimates of the recovery percentage of each swab in DMEM.
| Swab | Material Type | Shaft Material | Median (%) | Lower 95 %HPDI (%) | Upper 95 % HPDI (%) |
|---|---|---|---|---|---|
| Puritan 5.5″ Cotton Swab | Cotton | Aluminum | 68 | 16.2 | 168 |
| Hologic Aptima Multitest | Synthetic | Polystyrene | 31 | 10.4 | 65 |
| FLOQSwab | Synthetic | Polystyrene | 166 | 60 | 332 |
| PurFLock Ultra | Synthetic | Polystyrene | 42 | 15.9 | 81 |
| Puritan Standard Polyester Tip | Synthetic | Polystyrene | 27 | 10.0 | 52 |
| MedPro Cotton Tipped | Cotton | Wooden | 22 | 5.9 | 49 |
Fig. 2Quantification cycle for SARS-CoV-2 assessed for 5 different transport mediums (DMEM, Ethanol, PBS, 0.9 % normal saline and VTM) over 72-h at RT. X-axis shows time as day post inoculation (DPI). The dark line shows the expected average Cq based on the posterior median of the slope and intercept parameters. The transparent lines present 100 random draws from the posterior distribution, providing a visual estimate of the uncertainty around the mean.