Blood tests after the diagnosis of COVID-19 may predict the severity of the virus – study

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A new study has shown that doctors can identify, via blood samples, those who are at a greater risk of severe illness after receiving a diagnosis of coronavirus, including those that may need a ventilator, according to research from the University of Virginia School of Medicine (UVA) published on Monday.The discovery, according to research, may lead to preventative treatments to stop the “storm of cytokines” life-threatening (severe reactions of the immune system) commonly observed in cases of severe COVID-19, while explaining why diabetics face more barriers in the coronavirus treatment.

As a result, the science of the UVA, have discovered that levels of a cytokine in the blood after a diagnosis of coroanvirus was predictive of the severity of the virus. These cytokines, proteins produced by immune cells, are responsible for severe immunological responses in the body.

The value of this discovery is rooted in its potential to establish a systematic process, or systems of notation, of “alarm signals” of the severity of the disease based on the health profile of the patient COVID-19, enabling a more personalized and a better allocation of medical resources. Similarly, new therapies targeting the cytokines affected may be developed on the basis of the results of the research.

“The immune response that we have discovered to predict a shortness of breath severe in COVID-19 is well known in other lung diseases to cause damage. This could therefore lead to a new way of prevent the respiratory failure in persons infected with the novel coronavirus, by inhibiting this cytokine immune, ” said Bill Petri, MD, PhD, of the Division of infectious diseases and international health at UVA.

He added: “We plan to test this in a model of COVID-19 before considering a clinical trial.”

The storms of cytokines, by which the immune system overreacts and damages the body and vital organs, are associated with a particular group of cytokines. Scientists at UVA have discovered that the best predictor of the potential outcomes of the coronavirus was an overall “under-estimated” of cytokines associated with the allergic response. It has been found that high levels of cykotine IL-13 were associated with a disease COVID-19 severe regardless of age, sex or other health problems of the patients diagnosed.

In addition, the researchers also identified two cykotines additional associated with the severity of the disease, in patients with high blood glucose levels, but were not predictive of the need for a fan in these patients. This “pro-inflammatory”, according to the research, can serve as an explanation to results that are more severe in diabetic patients COVID-19.

The researchers came to their conclusions after testing the blood samples of 57 patients COVID-19 at UVA, which were then needed a fan, while comparing the results to those who did not need a fan after their diagnosis COVID-19.

The discovery may give new insights into the immunological reactions to severe and can potentially save lives.

“This work has been led by Allie Donlan, Mary Young and Mayuresh Abhyankar in my laboratory,” said Petri.

“But this was also a huge team work of the Faculty of medicine with the support of iTHRIV and the Global Infectious Diseases Institute,” added Petri.



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