The researchers found in the study, the results of which were published in the journal "Lancet"Many proteins are significantly disrupted for up to 6 weeks, even in those with mild symptoms.
The researchers predicted that 20 of the injured would suffer with covid-19 With persistent symptoms a year after they were infected with the virus, the causes have been linked to anti-clotting and anti-inflammatory processes, according to "Sky News" .
The researchers then used an artificial intelligence algorithm to scan for proteins in blood samples, and succeeded in identifying 11 infected health workers, who developed Symptoms of COVID-19 For a long time.
Commenting on the results of the study, Wendy Heywood, a senior researcher from the Institute of "Great Ormond Street" Children’s Health at the University of California: "If we can identify people who are likely to develop long-term symptoms of corona, this opens the door to trying treatments such as antiviral drugs Earlier, assess the stage of infection, to see whether it can reduce the risk of infection with the virus for a long time later".
For his part, Kevin McConway, Professor Emeritus of Applied Statistics, stressed the need to expand the sample that was studied in order to reach more comprehensive and accurate results, in addition to the need to include special variables. with coronavirus In related future research.
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Researchers at University College London compared levels of more than 90 protein Blood in 54 workers in the field of Healthcare of the injured Corona viruswith another group of healthy employees.
In the study, published in The Lancet, the researchers found that many proteins were significantly disrupted for up to 6 weeks, even in those with mild symptoms.
The researchers predicted that 20 of the injured would suffer with covid-19 With persistent symptoms a year after they contracted the virus, the causes were linked to anti-clotting and anti-inflammatory processes, according to Sky News.
The researchers then used an artificial intelligence algorithm to scan for proteins in blood samples, and succeeded in identifying 11 infected health workers, who developed Symptoms of COVID-19 For a long time.
Commenting on the results of the study, Wendy Heywood, a senior researcher from the Great Ormond Street Institute of Child Health at the University of California, said: “If we can identify people who are likely to develop long-term symptoms of corona, this opens the door to trying treatments such as antiviral drugs Earlier, and assessing the stage of infection, to see if it could reduce the risk of infection with the virus for a long time later.”
For his part, Kevin McConway, Professor Emeritus of Applied Statistics, stressed the need to expand the sample that was studied in order to reach more comprehensive and accurate results, in addition to the need to include special variables. with coronavirus In related future research.