Antibody tests may help detect COVID-19 infection – if used at right time

Scientists have analysed data from around the world to examine the accuracy of antibody tests for COVID-19, and have shown that the timing of testing is critical. The tests do not work accurately when administered at the wrong time.

In the most comprehensive review of its kind of COVID-19 testing, researchers have examined all available test accuracy evidence for antibody tests published up to the end of April.

By combining data from many studies they have shown that the tests are not accurate enough to confirm whether someone has the COVID-19 virus if used in the first two weeks after symptoms appear.

They found that tests are only likely to be useful in detecting previous SARS-CoV-2 infection if used at least 14 days after the onset of symptoms, but say that studies show that the tests will miss 1 in 10 cases of COVID-19.  However they caution over reliance on this figure, as the studies were small, poorly reported and done in select patient groups.

The researchers also fear accuracy will be lower when tests are used in the community, as the tests have mostly been evaluated in hospitalised patients – making it unclear whether they can detect lower antibody levels associated with milder and asymptomatic COVID-19 disease.

Led by experts at the University of Birmingham, a group of researchers drawn from universities around the globe have published their findings in the Cochrane Database of Systematic Reviews.

Jon Deeks, Professor of Biostatistics and head of the Test Evaluation Research Group at the University of Birmingham, commented: “We’ve analysed all available data from around the world and discovered clear patterns telling is that timing is vital in using these tests. Use them at the wrong time and they don’t work.

“There are promising tests, but there isn’t enough evidence to be able to identify the best tests yet, and we need to continue analysing data as it becomes available – particularly from non-clinical settings where individuals are displaying less severe symptoms and following people over longer time periods.”

The immune system of people who have COVID-19 responds to infection by developing cells that can attack the virus (antibodies) in their blood. Tests to detect antibodies in peoples’ blood could show whether they currently have COVID-19 or have had it previously.

The body produces three classes of antibody – IgA, IgG and IgM. Most antibody tests measure both IgG and IgM, but some measure a single antibody or combinations of the three antibodies. Levels of antibodies rise and fall at different times after infection, with the IgG antibody usually highest a few weeks after infection.

Some tests use venous blood and specialist laboratory equipment, whilst others use finger prick blood samples on disposable devices similar to pregnancy tests, which can be performed in laboratories, hospitals or at home.

Researchers searched through over 11,000 publications on COVID-19 available at the end of April 2020, and identified 54 relevant studies from Asia, Europe, and the USA – that measured the accuracy of antibody tests used to detect current or past COVID-19 infection – whether in hospital or the community. In total these studies reported nearly 16,000 test results.

They found that all tests showed low sensitivity (the ability to detect disease) during the first week after symptoms (detecting less than 30% of cases of disease), rising in the second week and reaching their highest values in the third week. The combination of IgG or IgM had a sensitivity of 72% for 8 to 14 days; 91% for 15 to 21 days; and 96% for 21 to 35 days.  Little data were available beyond 35 days.

Where about 50% of people may have had COVID-19 – such as in health care workers who have suffered respiratory symptoms – researchers predict there will be seven false positives and 43 false negatives for every thousand people undergoing combined IgG and IgM testing at days 15 to 21 after COVID-19 symptoms appear.

Where about 20% of people have COVID – likely in health and care settings – they predict 17 instances of COVID-19 missed in every thousand people tested and 10 false positive outcomes. If in a population about 5% have had COVID-19 – more likely in national surveys – the researchers believe that four infections would be missed for every thousand people tested, and 12 outcomes would be falsely positive.

“Accurate testing is vital – these tests may help identify COVID-19 in people who have had symptoms for two or more weeks but never had a swab test and identifying how many have had the SARS-CoV-2 infection to assess disease spread and the need for public health interventions. In time, we will learn whether having previously had the infection provides individuals with immunity to future infection, which will indicate the personal value of having this test,” added Professor Deeks.

“This is a fast-moving field and we plan to update this review regularly as more studies are published. However, the design, execution and reporting of studies of the accuracy of COVID-19 tests requires considerable improvement, and action needs to be taken to ensure that all results of test evaluations are available in the public domain and not withheld by test manufacturers to ensure we can provide the best estimates of the accuracy for these tests.”


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