The early medical response to the COVID-19 pandemic in the United States was limited in part
by the availability of testing. Testing guidelines for the SARS-CoV-2 virus required health
care workers to collect a swab of the oropharynx (OP) or nasopharynx (NP). This potentially
increased transmission risk to health care workers who lacked sufficient personal protective
equipment (PPE) due to wide-spread shortages[1].In other clinical experiences[2,3], obtaining a tongue, nasal, or mid-turbinate
(MT) sample is faster, better tolerated, and causes less potential for sneezing, coughing, and
gagging, than an NP swab. Additional recent evidence supports the validity of non-NP samples
for SARS-CoV-2 detection[4,5]. If also collected by the patient, such
methods would reduce health care worker high-exposure and preserve limited PPE.We enrolled over 500 individuals seen in any one of five ambulatory clinics in the Puget
Sound, Washington region with symptoms indicative of upper respiratory infection. Participants
were provided instructions and asked to self-collect tongue, nasal, and MT samples, in that
order, followed by an NP sample collected by a health care worker. All samples were submitted
for RT-PCR testing at a reference laboratory which yielded qualitative results
(positive/negative) and Ct values report for positive samples only. See the on-line supplement
for additional inclusion criteria, sampling methods, and statistical design.The study was powered to a one-sided test to determine if the non-NP sensitivities were
significantly greater than 90%. For 80% power, 48 NP positive patients were needed given an
assumed true sensitivity of 98%. Pairwise analyses were conducted between each
patient-collected sample and the health care worker-collected NP samples, which served as the
comparator across all. Of the 501 patients with tongue and NP samples, 450 were negative by
both swabs, 44 were positive by both swabs, 5 were NP positive and tongue negative, and 2 were
tongue positive and NP negative. Of the 498 patients with nasal and NP samples, 447 were
negative by both swabs, 47 were positive by both swabs, 3 were NP positive and nasal negative,
and 1 was nasal positive and NP negative. Of the 504 patients with MT and NP samples, 452 were
negative by both swabs, 50 were positive by both swabs, 2 were NP positive and MT negative,
and 0 were MT positive and NP negative.Using health care worker-collected NP samples as the comparator, estimated sensitivities of
the patient-collected tongue, nasal, and MT samples and their one-sided 95% confidence
intervals were 89.8% (80.2 – 100.0), 94.0% (84.6 – 100.0), and 96.2% (87.7
– 100.0), respectively. While the sensitivity of the nasal and MT samples were greater
than 90%, none of the patient-sample sensitivities were statistically significant when tested
using a one-sided test of proportions (p-values 0.50, 0.24, and 0.11 for tongue, nasal, and
MT, respectively). Ct values from the RT-PCR demonstrated Pearson correlations of 0.48, 0.78,
and 0.86 between the positive NP results and the positive tongue, nasal, and MT results,
respectively. Panel A shows plots of the Ct values for the patient collected sites against the
NP site, with a linear regression fit super-imposed on the scatterplot. For patients that
tested positive by both the NP and one of the test location swabs, the Ct values for the
tongue, nasal, and MT swabs were less than the NP Ct values 18.6%, 50.0%, and 83.3% of the
time, respectively, indicating that viral load may be higher in MT than NP, and equivalent
between nasal and NP. See the on-line supplement for additional results.This work demonstrates the clinical utility of using patient-collected tongue, nasal, or MT
sampling to health care worker-collect NP sampling for diagnosis of COVID-19. Adoption of
patient-collected sampling techniques should help reduce PPE use, and provide a more
comfortable patient experience. Our analysis was cross-sectional, in a single geographic
region, and limited to single comparisons to NP. Despite these limitations, we believe that
self-collected samples for SARS-CoV-2 testing from sites other than NP is a useful approach
during the COVID-19 pandemic.Plots showing the Cycle Threshold (Ct) values of the tongue, nasal, and MT tests against
those of the comparator NP test. The correlation coefficient is superimposed on each
sub-figure along with a trend line estimated using a simple linear regression. Figure 1a)
shows Ct values from the 43 patients that had positive tongue and NP results and available
Ct values. Figure 1b) shows Ct values from the 46 patients that had positive nasal and NP
results and available Ct values. Figure 1c) shows Ct values from the 48 patients that had
positive MT and NP results and available Ct values.Click here for additional data file.
Authors: Matthew A Lalli; Joshua S Langmade; Xuhua Chen; Catrina C Fronick; Christopher S Sawyer; Lauren C Burcea; Michael N Wilkinson; Robert S Fulton; Michael Heinz; William J Buchser; Richard D Head; Robi D Mitra; Jeffrey Milbrandt Journal: Clin Chem Date: 2021-01-30 Impact factor: 8.327
Authors: Kyle S Kimura; Michael H Freeman; Bronson C Wessinger; Veerain Gupta; Quanhu Sheng; Li Ching Huang; Kate Von Wahlde; Suman R Das; Naweed I Chowdhury; Justin H Turner Journal: Int Forum Allergy Rhinol Date: 2020-10-20 Impact factor: 3.858
Authors: Sjoerd Euser; Sem Aronson; Irene Manders; Steven van Lelyveld; Bjorn Herpers; Jan Sinnige; Jayant Kalpoe; Claudia van Gemeren; Dominic Snijders; Ruud Jansen; Sophie Schuurmans Stekhoven; Marlies van Houten; Ivar Lede; James Cohen Stuart; Fred Slijkerman Megelink; Erik Kapteijns; Jeroen den Boer; Elisabeth Sanders; Alex Wagemakers; Dennis Souverein Journal: Int J Epidemiol Date: 2021-09-08 Impact factor: 7.196
Authors: Matthew Robinson; Charlotte Gaydos; Barbara Van Der Pol; Sally McFall; Yu-Hsiang Hsieh; William Clarke; Robert L Murphy; Lea E Widdice; Lisa R Hirschhorn; Richard Rothman; Chad Achenbach; Claudia Hawkins; Adam Samuta; Laura Gibson; David McManus; Yukari C Manabe Journal: IEEE Open J Eng Med Biol Date: 2021-04-28