Clinical Question

What are the sensitivity and specificity of point-of-care antigen and molecular-based tests for detecting SARS-CoV-2?

Evidence-Based Answer

SARS-CoV-2 antigen tests have an average sensitivity of 68.9% (95% CI, 61.8% to 75.1%) and an average specificity of 99.6% (95% CI, 99.0% to 99.8%). Accuracy depends on symptom status, time from symptom onset, and test brand. The Standard Q COVID-19 antigen test (SD Biosensor) has a sensitivity of 85.8% (95% CI, 80.5% to 89.8%) and specificity of 99.2% (95% CI, 98.2% to 99.6%).¹ (Strength of Recommendation [SOR]: B, based on inconsistent or limited-quality patient-oriented evidence.)

SARS-CoV-2 rapid molecular tests have an average sensitivity and specificity of 95.1% (95% CI, 90.5% to 97.6%) and 98.8% (95% CI, 98.3% to 99.2%), respectively. The Xpert Xpress SARS-CoV-2 test (Cepheid) has a sensitivity and specificity of 100% (95% CI, 88.1% to 100%) and 97.2% (95% CI, 89.4% to 99.3%), respectively.¹ (SOR: B, based on inconsistent or limited-quality patient-oriented evidence.)

Practice Pointers

Rapid and accurate point-of-care SARS-CoV-2 tests are valuable tools to slow the spread of the virus and safely return people to work and school. To be widely useful, these tests need to be portable and easy to perform, require less operator expertise and only a minimal amount of extra equipment, be inexpensive, and provide results in less than two hours. The authors of this Cochrane review looked at the evidence for SARS-CoV-2 tests meeting these criteria.¹

This review has been updated once already and includes studies released through November 2020.¹ It involves 64 reports with 78 studies of antigen or molecular tests suitable for point-of-care testing with 24,087 samples, 7,415 of which were confirmed by traditional polymerase chain reaction (PCR) testing to have SARS-CoV-2. Most studies were conducted in Europe and North America.

Included studies evaluated 16 commercial antigen tests, most of which targeted the nucleocapsid protein. Overall, the average sensitivity was 68.9% (95% CI, 61.8% to 75.1%) and the average specificity was 99.6% (95% CI, 99.0% to 99.8%; 21,614 samples; 6,136 confirmed SARS-CoV-2 cases). Accuracy was impacted by symptom status, time from symptom onset, and test brand. On average, sensitivity was greater in those who had symptoms (72%; 95% CI, 63.7% to 79.0%; 37 studies, 15,530 samples, 4,410 cases) than in those without symptoms (58%; 95% CI, 40.2% to 74.1%; 12 studies, 1,581 samples, 295 cases). Sensitivity was also greater in those who had symptoms for less than one week (78.3%; 95% CI, 71.1% to 84.1%; 26 studies, 5,769 samples, 2,320 cases) vs. those in their second week of symptoms (51.0%; 95% CI, 40.8% to 61.0%; 935 samples, 692 cases).

The Standard Q COVID-19 antigen test was one of the best performing tests. When used in the recommended manner, the test had a sensitivity of 85.8% (95% CI, 80.5% to 89.8%) and specificity of 99.2% (95% CI, 98.2% to 99.6%) overall (four studies, 2,522 samples, 421 cases). When broken down by subgroup, the test performed better in symptomatic than in asymptomatic patients. This trend of improved accuracy in symptomatic patients was also evident in another test that performed well, the Panbio COVID-19 rapid antigen test (Abbott). When used according to manufacturer instructions, it had a sensitivity of 72.0% (95% CI, 56.5% to 83.5%) and specificity of 99.2% (95% CI, 98.5% to 99.5%) overall (five studies, 1,776 samples, 362 cases).¹

As the prevalence of COVID-19 rises, the positive predictive value (PPV) of antigen tests improves. In a symptomatic population at 5%, 10%, and 20% COVID-19 prevalence, the Standard Q COVID-19 antigen test PPV is 84%, 92%, and 96%, respectively, with a slight decrease in negative predictive value (NPV; 99.4%, 98.7%, and 97.1%, respectively). This means that with 10% prevalence, if 1,000 people were tested, there would be 88 true-positives, eight false-positives, 892 true-negatives, and 12 false-negatives. For the Panbio COVID-19 rapid antigen test, at 5%, 10%, and 20% prevalence in a symptomatic population, the PPV is 89%, 94%, and 97%, respectively, with a slight decrease in NPV (98.7%, 97.2%, and 94.1%, respectively). This means that with 10% prevalence, if 1,000 people were tested, there would be 75 true-positives, five false-positives, 896 true-negatives, and 25 false-negatives.¹

Other studies in the review examined the performance of rapid molecular tests for diagnosing SARS-CoV-2 infection. These tests work similarly to traditional PCR assays by amplifying RNA, but they are automated, require less handling and expertise to process, and typically produce results faster than traditional PCR tests. Average sensitivity and specificity were 95.1% (95% CI, 90.5% to 97.6%) and 98.8% (95% CI, 98.3% to 99.2%), respectively (4,351 samples, 1,781 confirmed SARS-CoV-2 cases). The two most studied tests were the ID NOW COVID-19 test (Abbott) and the Xpert Xpress SARS-CoV-2 test. When used in accordance with the manufacturer's instructions, ID NOW had a sensitivity and specificity of 73.0% (95% CI, 66.8% to 78.4%) and 99.7% (95% CI, 98.7% to 99.9%), respectively (four studies, 812 samples, 222 cases). The Xpert Xpress test had a sensitivity and specificity of 100% (95% CI, 88.1% to 100%) and 97.2% (95% CI, 89.4% to 99.3%), respectively (two studies, 100 samples, 29 cases). In a symptomatic population at 5%, 10%, and 20% prevalence, the ID NOW test PPV is 93%, 96%, and 98%, respectively, with a slight decrease in NPV (98.6%, 97.1%, and 93.6%, respectively). This means that with 10% prevalence, if 1,000 people were tested, there would be 73 true-positives, three false-positives, 897 true-negatives, and 27 false-negatives. For the Xpert Xpress test, at 5%, 10%, and 20% prevalence, PPV is 65%, 80%, and 90%, respectively, with 100% specificity. With 10% prevalence, if 1,000 people were tested, there would be 100 true-positives, 25 false-positives, 875 true-negatives, and 0 false-negatives.¹