Health
According to CDC, Covid-19 antibody test is wrong in half the time
The antibody tests used to determine if they have been infected with Covid-19 in the past can be wrong up to half the time, said the Centers for Disease Control and Prevention. I am. New guidance Posted on that website.
Antibody tests, often called serologic tests, look for evidence of an immune response to an infection. “Some people’s antibodies may be detected within a week of onset,” says CDC.
they are Not accurate enough The CDC said it will be used to make important policy decisions.
“You should not make a decision about using serology results to group people who live or reside in schools, dormitories, correctional facilities, etc.,” said the CDC.
“Serologic test results should not be used to make decisions about returning a person to work.”
The CDC is new guidance, and healthcare professionals or providers using antibody tests should use the most accurate test they can find and may need to test people twice. I said no.
“In most of the countries, including those areas that were severely affected, the prevalence of SARS-CoV-2 antibodies was low, from less than 5% to 25%, with tests at this time showing relatively more false-positive results. And less false negative results, “said the CDC.
This is a point often created by public health experts over the last few weeks, but the CDC has detailed the issue with new advice on antibody testing.
False positive, false trust
False positives make people believe that they are infected when they are not. There is little evidence so far about whether an infection confers immunity to a later infection, but doctors are worried that people behave like immunity if they have a positive antibody test.
“We can’t assume that individuals with a positive antibody test will be protected from future infections,” the CDC states in its updated guidelines. “Serologic testing should not be used to determine an individual’s immune status until the presence, persistence, and duration of immunity have been established.”
New CDC guidelines Advice from groups such as the University of MinnesotaThis warns against using antibody tests to make policy decisions.
The CDC explains why tests are often wrong. Much has to do with how common the virus is in the population under test. “For example, in a population with a prevalence of 5%, a test with 90% sensitivity and 95% specificity would give a positive predictive value of 49%. In other words, these tests would be positive. Less than half of those who do have true antibodies. ”
“Alternatively, the same test in a population with> 52% antibody prevalence results in> 95% positive predictions, which results in less than 1 in 20 false positive test results. Means to have. “
Therefore, it is best to use highly specific tests in populations where doctors suspect many cases.
Food and Drug Administration I also warned About the accuracy of antibody test.
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