key: cord-0916495-2oer99uj authors: McAulay, Kathrine; Bryan, Andrew; Greninger, Alexander L.; Grill, Francisca; Lake, Douglas; Kaleta, Erin J.; Grys, Thomas E. title: Retrospective clinical evaluation of four lateral flow assays for the detection of SARS-CoV-2 IgG date: 2020-08-02 journal: Diagn Microbiol Infect Dis DOI: 10.1016/j.diagmicrobio.2020.115161 sha: 9a3aabda669efd8fff57ed951e5aab6bc09c1ebe doc_id: 916495 cord_uid: 2oer99uj In a CLIA laboratory setting, we evaluated SARS-CoV-2 IgG detection with four lateral flow immunoassays [LFIAs; two iterations from BTNX Inc. (n = 457), and one each from ACON Laboratories (n = 200); and SD BIOSENSOR (n = 155)]. In a cohort of primarily hospitalized, RT-PCR confirmed COVID-19 cases, sensitivity at ≥14 days from symptom onset was: BTNX kit 1, 95%; BTNX kit 2, 91%; ACON, 95%; and SD, 92%. All assays showed good concordance with the Abbott SARS-CoV-2 IgG assay at ≥14 days from symptom onset: BTNX kit 1, 99%; BTNX kit 2, 94%; ACON, 99%; and SD, 100%. Specificity, measured using specimens collected prior to SARS-CoV-2 circulation in the US and “cross-reactivity challenge” specimens, was 98% for BTNX kit 1 and ACON and 100% for BTNX kit 2 and SD. These results suggest that LFIAs may provide adequate results for rapid detection of SARS-CoV-2. J o u r n a l P r e -p r o o f 3 performance of a test is essential to determination of when to use the test and what the results might mean. For example, specificity is of particular importance in a low prevalence setting (Farnsworth and Anderson, 2020) . Lateral flow immunoassays (LFIAs) are an attractive alternative or supplement to automated ELISA and chemiluminescence assays as they require less operator skill and for their potential utility in a point of care (POC) setting. Here we evaluated four LFIAs for the detection of anti-SARS-CoV-2 IgG in clinical samples. De-identified, presumptive positive specimens (n = 352) from 62 individuals with RT-PCR-confirmed COVID-19 were kindly shared by the Department of Laboratory Medicine at the University of Washington School of Medicine (Seattle, WA) with limited metadata, such as Abbott SARS-CoV-2 IgG immunoassay results and the number of days since symptom onset. These consisted of 250 plasma, 77 serum, and 21 whole blood specimens (a further four unknown specimens were assumed to be either serum or plasma), were received frozen, and underwent either one or two freeze-thaw cycles prior to testing. Specificity specimens were obtained from two sources: 74 excess clinical serum specimens collected and stored in 2018, and 31 "cross-reactivity challenge" specimens collected between March and April 2020. Among these 105 specimens, there were 27 from individuals with a history of seasonal coronavirus infection (as determined by a syndromic respiratory PCR test) within 3 years prior to collection (HKU1, n = 13; NL63, n = 6; OC43, n = 6; 229E, n = 2), two specimens Journal Pre-proof J o u r n a l P r e -p r o o f 4 reactive for rheumatoid factor, one reactive for HIV-1 antibody, HAV total antibody, HBV core total antibody and surface antibody, and RPR, and one reactive for HCV antibody and HSV2 antibody (Table 1 ). These specimens were tested after 0, 1, or 2 freeze thaw cycles. Rapid Response™ COVID-19 Test Cassette (BTNX Inc.): We tested two different iterations of this kit, hereafter referred to as BTNX kit 1 and BTNX kit 2. LFIAs were performed according to the manufacturer's instructions. Briefly, for BTNx kit 1, 10 µL serum, plasma, or whole blood was transferred to the sample well, followed by one drop of assay buffer; results were read and interpreted after 10-15 min. For BTNx kit 2, 5 µL serum, plasma, or whole blood was transferred to the sample well, followed by two drops of assay buffer; results were read after 15 min. SARS-COV-2 IgG/IgM Rapid Test (ACON Laboratories): For this assay, hereafter referred to as ACON, 10 µL serum or plasma, or 15 µL whole blood was transferred to the specimen well and then two drops of buffer were added to the buffer well; results were read after 10-15 min. Standard Q COVID-19 IgM/IgG Duo (SD BIOSENSOR): This kit is supplied as individual IgM and IgG cartridges; only the IgG cartridges were evaluated in this study and are hereafter referred to as SD. For this assay, 10 µL serum, plasma, or whole blood was transferred to the specimen well and then two to three drops of buffer were added to the buffer well; results were read and interpreted after 10-15 minutes. J o u r n a l P r e -p r o o f photographed for reference, with the exception of the SD assay, for which the first 30 assays were interpreted by one reader only and not photographed. Both readers were essentially blinded, in that the sample metadata (time to disease onset and Abbott results) were not revealed until reading was complete. Images of discrepant specimens were read by a third independent and blinded individual (FG) and the consensus between two readers was recorded as the final result. A representative image of a positive result on all four assays is shown in Figure 1 . All assays tested also offered IgM detection. The SD IgM cartridge was not evaluated here, but ACON and both BTNX kits included IgM in the same cartridge; however, as IgM results were variable across all assays, we opted to focus on IgG for the purpose of this evaluation. IgM results are available in supplementary Table S1 . Sensitivity of the BTNX assays was evaluated using specimens from a primarily hospitalized cohort of individuals with RT-PCR confirmed COVID-19 (Seattle cohort, n = 352) and stratified by the number of days since symptom onset. Sensitivity of BTNX kit 1 at <7 days since symptom onset (n = 154) was 16% (95% CI: 10-22%), at 7-13 days (n = 103) it was 48% (95% CI: 38-58%), and ≥14 (n = 95) days it was 95% (95% CI: 88-J o u r n a l P r e -p r o o f 6 98%). Sensitivity of BTNX kit 2 at the same time points was 13% (95% CI: 8-19%), 50% (95% CI: 40-60%), and 91% (95% CI: 83-96%), respectively. We then compared assay performance to that of the Abbott SARS-CoV-2 IgG assay, which holds and Emergency Use Authorization (EUA) from the FDA and for which optical density (OD) values and interpretations for 268 of these specimens. For a number of samples, >1 sample result was available from the same patient on the same day since symptom onset. When this occurred, the mean OD value was determined and assigned to all samples collected that day. We reviewed the sample specific OD and mean OD for 157 specimens for which both values were available and found that taking the mean did not alter the interpretation in any case; therefore, we opted to use the mean data for comparison with LFIAs. Overall agreement with the Abbott assay was 95% ( Based on our observation that BTNX kit performance was substantially better for specimens collected ≥14 days after symptom onset and to focus on a sample set in which most patients would be expected to have seroconverted, sensitivity was subsequently addressed for the remaining kits only on specimens collected ≥14 days after symptom onset (n = 95, only 50 of these were tested using the SD assay). This amounted to 95% (95% CI: 88-98%) and 92% (95% CI: 81-98%) sensitivity for ACON and SD, respectively. LFIA results are summarized in Table 2 Abbott results were available for 83 of the 95 specimens collected ≥14 days after symptom onset (43 of the 50 tested by SD) and agreement was as follows: BTNX kit 1, 99% (95% CI: 93-100%); BTNX kit 2, 94% (95% CI: 86-98%); ACON, 99% (95% CI: 93-100%); and SD, 100% (95% CI: 92-100%). As all samples in the Seattle cohort were from laboratory or clinically confirmed COVID-19 cases, a different set of specimens was used to assess specificity (n = 105), including 74 collected prior to recognized circulation of SARS-CoV-2 in the United States and 31 "cross-reactivity challenge specimens" from individuals with a history of seasonal coronavirus infection or other potentially cross-reactive antibodies (Table 1) . Two false positive IgG results were observed with BTNX kit 1, amounting to 98% (95% CI: 93-100%) specificity. Of note, one additional specimen generated a pink line (supplementary figure S1), where a purple colored line is the expected result. This was recorded as invalid rather than a positive result, since it was not consistent with the operating parameters of the assay. None of the 31 "cross-reactivity challenge specimens" generated a positive IgG signal in this assay. The ACON assay also generated two false positive results, one of which was from a patient with a recent history of coronavirus HKU1 infection and the other was from a patient whose serum was reactive for HIV-1, HAV, HBV, and HCV antibodies. This assay therefore also achieved 98% (95% CI: 93-100%) specificity. The sensitivity of the LFIAs was evaluated against the Abbott SARS-CoV-2 IgG EUA assay, for which several peer reviewed studies have reported acceptable performance (Bryan et al., 2020 , Tang et al., 2020 , Theel Elitza S. et al., 2020 . Although eight Abbott positive specimens were negative on "BTNX kit 1"; all but one were collected <14 days after symptom onset. Further, four of them were collected from a single patient between one and two days post symptom onset; another specimen collected from this same patient two days after symptom onset generated a positive result. Similarly, for the remaining four false negative specimens (three patients), an additional specimen drawn from the same patients on the same day tested positive. J o u r n a l P r e -p r o o f 9 Although it is surprising that an antibody response should be seen at all as early as one day into the disease course, it should be noted that this was a predominantly hospitalized and older cohort (Bryan et al., 2020) , which may account for potentially incomplete clinical histories in some cases. Also, it has been documented that the infection may be asymptomatic for 1-2 weeks, so an immune response may be well underway by the time of symptom onset. Some specimens from patients who were PCR positive were negative by all assays, suggesting they had not yet generated detectable levels of antibodies to the viral antigens in the kits. It may take up to 21 days or more for some patients to develop a detectable antibody response (Yongchen et al., 2020). In some cases, the LFIA tests detected a positive result sooner in a serial sampling series than the Abbott test did. Though these represent clinically positive results, against the Abbott assay, they would be "false positives." Of the samples generating "false positive" results with BTNX kit 1, three were collected from a single patient one and two days post-onset of symptoms and with a PCR Ct of 29 (Panther Fusion® SARS-CoV-2 Assay); this patient went on to seroconvert on the Abbott assay 10 days later. Another of the "false positive" specimens, collected 10 days post-onset of symptoms, was associated with an Abbott OD value of 0.96 (manufacturer cut-off is 1.4); however, a specimen collected the following day from this patient was positive on the Abbott assay (OD, 2.33). A recent study has suggested that it may be beneficial to report OD ratios of 0.8-1.5 on this assay as inconclusive with a recommendation for repeat testing (Bryan et al., 2020) . The remaining "false positive" specimen was collected on the day of symptom onset and a specimen collected 4 days later was Journal Pre-proof J o u r n a l P r e -p r o o f J o u r n a l P r e -p r o o f 11 One potential use for these assays might be to confirm antibody production in patients with resolved symptoms, independent of disease detection by a SARS-CoV-2 PCR assay or not. The results of this study of sera from a primarily hospitalized population show that the sensitivity of IgG detection at 14 days or more post-symptom onset was 95% in two cases (BTNX kit 1, and ACON) . When compared directly with Abbott results, sensitivity increased to 99% for both of these assays; similarly, BTNX kit 2, and SD sensitivity was 94% and 100%, respectively. These LFIA tests show good performance for a 15-minute test that is very easy to perform; however, BTNX kit 1 and ACON were the only assays to generate false positive IgG results, supporting the theory that assays providing higher sensitivity may come with a compromise in specificity. Nonetheless three of the kits tested did not show any false positives in a sample set that included a diverse representation of potential cross-reactivity, and specificity for any assay did not fall below 98%. Additional studies will be needed to determine if this measure of sensitivity holds true for more mild disease, and whether sensitivity may increase (or decrease) past 14 days. Other studies have shown improved sensitivity after 17 days from symptom onset (Bryan et al., 2020) . While no serologic test is perfect, these results are encouraging that rapid and simple tests can provide an adequate level of sensitivity and specificity. Importantly, several other LFIAs tested by our group showed poor sensitivity and/or specificity (data not shown), indicating the importance of rigorous validation prior to implementation in any setting. It is likely that all tests will have a measurable false-positivity rate, but our results suggest that a substantial number of samples from patients with a history of seasonal CoV or even other viral infections will be required to better define the rate of false-positivity. Even if J o u r n a l P r e -p r o o f 12 some tests maintain a high (>99%) specificity, the individual patient may be best served by an orthogonal approach to testing, whereby two methods that target different antigens (whether two LFIAs or an LFIA followed by an EIA or CIA) are used to increase positive predictive value for predicting true exposure to SARS-CoV-2. However, manufacturers are only obliged to disclose the nature of their assay target(s) upon EUA issuance, so the role of the many pending assays in this approach is currently unclear. Of the assays tested in this study, only the target for the SD assay (nucleocapsid) was known. The sensitivity of the LFIAs characterized herein suggests that such an approach would have only a minor impact on clinical sensitivity overall by using two assays. This concept is supported by the fact that of the false negatives, four samples were not detected by any of the assays, demonstrating that most positive samples were detected by all assays. One strength of the study is that among the specificity sample set, we included 27 samples from patients who had recently experienced seasonal CoV. While additional studies are required to focus on other patient groups and sample types, the sensitivity sample set in this study was already larger than the data listed for 10 of 13 EUA approved assays and the specificity samples set was similar to 4 of 13 EUA approved assays, current as of June 8, 2020 (FDA, 2020). The primary weaknesses include the positive samples from a primarily hospitalized cohort, the retrospective nature of samples (including freeze/thaw), and the lack of fingerstick blood samples, for which many of these assays are designed. In a pandemic, reliable information is essential to public health responses and individual healthcare decisions. These results suggest that, with further investigation/data/study/evaluation, LFIAs could potentially be used to meet Table S1 . SARS-CoV-2 IgG and IgM results for the lateral flow immunoassays evaluated in this study Table S2 . SARS-CoV-2 false positive IgG results detected during this evaluation Figure S1 . An invalid result observed during this evaluation Performance Characteristics of the Abbott Architect SARS-CoV-2 IgG Assay and Seroprevalence in Dynamic profile for the detection of anti-SARS-CoV-2 antibodies using four immunochromatographic assays SARS-CoV-2 Serology: Much Hype, Little Data Authorized Serology Test Performance Prevalence of antibodies to four human coronaviruses is lower in nasal secretions than in serum Immunoglobulin M for Acute Infection: True or False? We would like to thank the Mayo Clinic Center for Individualized Medicine for their continued support and the Mayo Clinic Arizona Department of Laboratory Medicine and Pathology staff for all their hard work supporting this study and the care of our patients during this pandemic. We would also like to thank the manufacturers for supplying some of the kits (ACON and BTNX kit 1). We also thank Safe Health Systems who supplied some kits (SD and BTNX kit 2) as part of a joint partnership with Mayo Clinic.Disclosures TEG represents Mayo Clinic in a joint venture with Safe Health Systems and has shared intellectual property that may result in royalty sharing.Funding: History of coronavirus HKU1 infection 28