ABSTRACT
Background. To limit viral transmission, COVID-19 testing strategies must evolve as new SARS-CoV-2 variants (and new respiratory viruses) emerge to ensure that the specimen types and test analytical sensitivities being used will reliably detect individuals during the pre-infectious and infectious periods. Our accompanying work demonstrated that there are extreme differences in viral loads among paired saliva (SA), anterior-nares swab (ANS) and oropharyngeal swab (OPS) specimens collected from the same person and timepoint. We hypothesized that these extreme differences may prevent low-analytical-sensitivity assays (such as antigen rapid diagnostic tests, Ag-RDTs) performed on a single specimen type from reliably detecting pre-infectious and infectious individuals. Methods. We conducted a longitudinal COVID-19 household-transmission study in which 228 participants collected SA, ANS, and OPS specimens for viral-load quantification by RT-qPCR, and performed an ANS Ag-RDT (Quidel QuickVue At-Home OTC COVID-19 Test) daily. We evaluated the performance of the Ag-RDT (n=2215 tests) to detect infected individuals (positive results in any specimen type by RT-qPCR) and individuals with presumed infectious viral loads (at or above thresholds of 10^4, 10^5, 10^6, or 10^7 copies/mL). Results. Overall, the daily Ag-RDT detected 44% (358/811) timepoints from infected individuals. From 17 participants who enrolled early in the course of infection, we found that daily Ag-RDT performance was higher at timepoints when symptoms were reported, but symptoms only weakly correlated with SARS-CoV-2 viral loads, so ANS Ag-RDT clinical sensitivity remained below 50%. The three specimen types exhibited asynchronous presumably-infectious periods (regardless of the infectious viral-load threshold chosen) and the rise in ANS viral loads was delayed relative to SA or OPS for nearly all individuals, which resulted in the daily ANS Ag-RDT detecting only 3% in the pre-infectious period and 63% in the infectious period. We evaluated a computationally-contrived combined AN-OP swab based on viral loads from ANS and OPS specimens collected at the same timepoint; when tested with similar analytical sensitivity as the Ag-RDT, this combined swab was predicted to have significantly better performance, detecting up to 82% of infectious individuals. Conclusion. Daily ANS rapid antigen testing missed virtually all pre-infectious individuals, and more than one third of presumed infectious individuals due to low-analytical-sensitivity of the assay, a delayed rise in ANS viral loads, and asynchronous infectious viral loads in SA or OPS. When high-analytical-sensitivity assays are not available and low-analytical-sensitivity tests such as Ag-RDTs must be used for SARS-CoV-2 detection, an AN-OP combination swab is predicted to be most effective for detection of pre-infectious and infectious individuals. More generally, low-analytical-sensitivity tests are likely to perform more robustly using oral-nasal combination specimen types to detect new SASR-CoV-2 variants and emergent upper respiratory viruses.
Subject(s)
COVID-19 , Oropharyngeal NeoplasmsABSTRACT
Background. Screening testing, often via self-collected specimens, remains a key strategy to detect infections early and prevent SARS-CoV-2 transmission, and to enable earlier initiation of treatment. However, which specimen type best detects the earliest days of infection remains controversial. Further, the analytical sensitivity of diagnostic tests must also be considered, as viral loads below a test's limit of detection (LOD) are likely to yield false-negative results. Comparisons of quantitative, longitudinal SARS-CoV-2 viral-load timecourses in multiple specimen types can determine the best specimen type and test analytical sensitivity for earliest detection of infection. Methods. We conducted a COVID-19 household transmission study between November 2021 and February 2022 that enrolled 228 participants and analyzed 6,825 samples using RT-qPCR to quantify viral-load timecourses in three specimen types (saliva [SA], anterior-nares swab [ANS], and oropharyngeal swab [OPS]). From this study population, 14 participants enrolled before or at the incidence of infection with the Omicron variant. We compared the viral loads in specimens collected from each person at the same timepoint, and the longitudinal viral load timecourses from each participant. Using these viral loads, we inferred the clinical sensitivity of each specimen type to detect infected, pre-infectious and infectious individuals (based on presumably infectious viral load levels) using assays with a range of analytical sensitivities. We also inferred the clinical sensitivity of computationally contrived specimen types representing combinations of single specimen types. Results. We found extreme differences (up to 109 copies/mL) in viral loads between paired specimen types in the same person at the same timepoint, and that longitudinal viral load timecourses across specimen types did not correlate. Because of this lack of correlation, infectious viral loads were often observed in different specimen types asynchronously throughout the course of the infection. In the first 4 days of infection, no single specimen type was inferred to achieve >95% detection of infected or infectious individuals, even with the highest analytical sensitivity assays. In nearly all participants (11/14), a rise in ANS viral loads was delayed (as many as 7 days) relative to SA and OPS. We also observed that ANS and OPS had the most complementary viral load timecourses, resulting in optimal inferred performance with a computationally contrived combined anterior nares-oropharyngeal (AN-OP) swab specimen type. The combination AN-OP swab had superior inferred clinical sensitivity the first 8 days of infection with both high- and low-analytical-sensitivity assays. This AN-OP swab was also inferred to significantly improve detection of pre-infectious and infectious individuals over any single specimen type. Conclusion. Our work demonstrates that the viral load in one specimen type cannot reliably predict the viral load in another specimen type. Combination specimen types may offer a more robust approach for earliest detection of new variants and respiratory viruses when viral kinetics are still unknown.