To the Editor,

Diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with suspected coronavirus disease 2019 (COVID-19) is most widely performed with real time polymerase chain reaction (RT-PCR) considered as gold standard [1]. RT-PCR is a highly sensitive diagnostic method for detecting viral ribonucleic acid (RNA) with the disadvantages of logistics for transport of samples to specific laboratories and the relative long duration of the diagnostic method. Positive SARS-CoV-2 RT-PCR also do not allow definitive conclusions whether the subject is still contagious or not. This can be partly attained by establishing the cycle threshold (Ct) value depicting the particular amount of viral RNA in the sample and thus allowing a conclusion on the viral load and infectivity [2]. However, because of the diagnostic effort and duration of the test, faster and less laborious tests attract interest which may help to rapidly identify and contain infected individuals. Therefore, point-of-care-testing with antigen tests, providing results in a couple of minutes, is currently evaluated for routine clinical use.

We compared the SARS-CoV-2 antigen detection in nasopharyngeal swab samples by the Panbio™ COVID-19 Ag Rapid test (Abbott, Chicago, Illionis) with the simultaneous routinely conducted RT-PCR analysis of SARS-CoV-2 orf1 RNA detection with the cobas® analyzer (Roche Diagnostics GmbH, Mannheim, Germany). The nasopharyngeal swab samples were collected from 53 patients with PCR-confirmed SARS-CoV-2 infection during their hospital stay in different stages of the disease. Panbio™ COVID-19 Ag Rapid test was performed right after nasopharyngeal swab sampling while RT-PCR was routinely performed in our central laboratory facility. RT-PCR was negative in two patients suggesting an already subsided infection; consistent with it the Panbio™ COVID-19 Ag Rapid test was also negative. Among 51 RT-PCR SARS-CoV-2 positive patients, the Panbio™ COVID-19 Ag Rapid test was positive in 31 subjects depicting a poor sensitivity of 60.8% (95% CI 46.1–74.2%), compared to 93.3% in the manufacturer’s information. In the 14 patients with a Ct-value ≤ 25, being indicative for higher viral loads, the sensitivity for the Panbio™ COVID-19 Ag Rapid test was at a level of 85.7% (95% CI 57.2–98.2%, Table 1). Panbio™ COVID-19 Ag Rapid test was positive in 36.4% (95% CI 17.2–59.3%) of the patients with a Ct-value > 30 (Table 1). Of note, when we included subjects with a Ct value ≤ 30, which is considered to be a threshold for infectivity and currently recommended by the German Robert Koch Institute as an important cutoff to identify SARS-CoV2 contagious subjects, we found that the Ag rapid test correctly identified 79.3% of individuals. However, looking on the other site of the coin we found that subjects with a Ct-value > 30 were antigen positive in 36.4% of cases. The test is still positive in a considerable number of patients which are considered as being non-infectious according to the German Robert Koch Institute. Changing the cut-off value to Ct > 33 reduced the positive results of the Panbio™ COVID-19 Ag Rapid test to 16.7% (Table 1) whereas no positive Panbio™ COVID-19 Ag Rapid test result was achieved in subjects with RT-PCR Ct-values ≥ 35 (n = 4).

Table 1 Antigen test results stratified by different Ct value cut-offs

These results indicate a poor performance of the Panbio™ COVID-19 Ag Rapid test detecting SARS-CoV-2 antigen in patients with low virus load but a good performance in patients with high virus load. Viral load of SARS-CoV-2 was reported to be the highest around the time of symptom onset, and most probably become undetectable within approximately 2 weeks. Additionally, patients with more severe symptoms also seems to have a higher viral loads [3, 4]. Therefore, antigen tests, like the one investigated herein, might be suitable and effective for rapidly identifying infectious subjects with symptoms compatible to a COVID-19 infection in a primary care setting given its sensitivity of around 80%. This is of relevance specifically in epidemic situations with numerous other circulating virus such as influenza but also for rapidly identifying SARS-CoV-2 positive patients for immediate initiation of containment and contact tracing strategies for better controlling the spread of the infection mainly during the cold season [5]. Moreover, the test may be of specific benefit in subjects with short onset of symptoms as viral loads are highest during the first days of infection and because the test has been shown herein to have an even higher sensitivity in patients with higher viral loads. However, one has to admit that not all subjects with a Ct-value ≤ 30 have been correctly identified as being SARS-CoV-2 infected. This would warrant the development of additional strategies to minimize the risk of false negative results. Such algorithms could include the performance of a RT-PCR test in subjects with symptoms compatible with COVID-19 but a negative antigen result. The discrepancy between the real sensitivity and that claimed by the manufacturer of SARS-CoV-2 Ag tests was already demonstrated recently [6]. Since these are CE-marked diagnostic devices this question the reliability of the European admission process.

The low number of positive antigen test results in subjects with higher Ct value > 33 which are considered to be not contagious (https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html) could have implications for follow up screening of initially antigen positive subjects to determine the time point when they are no longer contagious, which is specifically relevant for estimating the duration of quarantine measures. Whether or not this antigen test is suitable for public screening measures mostly of asymptomatic patients to identify undetected subjects with COVID-19 without generating a considerable number of false positive results remains to be shown. Although our results are quite encouraging regarding the use of antigen test as point-of-care diagnostic which may contribute to a better control of the pandemic, we need longitudinal studied which larger patient cohorts to corroborate our results and to develop algorithms or to identify those subjects who are contagious but not detected by that test.