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Blood test can predict severity of Covid-19: Study – Times of India

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WASHINGTON: Doctors can examine the blood of Covid-19 patients to identify those at greatest risk of severe illness and to pinpoint those most likely to need a ventilator, according to researchers, including one of Indian-origin.
The research could lead to new treatments to prevent deadly “cytokine storms” seen in severe cases of Covid-19, the researchers said.
It also may help explain why diabetes contributes to worse outcomes in patients with the coronavirus, they said.
The scientists, including Mayuresh Abhyankar from the University of Virginia (UVA) School of Medicine in the US, found that the levels of a particular cytokine in the blood upon diagnosis could be used to predict later outcomes.
Cytokines — proteins produced by immune cells — are responsible for severe overreactions by the immune system, known as cytokine storms, associated with Covid-19 and other serious illnesses, the researchers said.
They said the discovery could become part of a scoring system to let doctors flag at-risk Covid-19 patients for closer monitoring and personalised interventions.
The finding also identifies cytokines doctors could target as a new treatment approach, according to the findings shared on the pre-print server medRxiv.org.
The team identified 57 Covid-19 patients treated at UVA who ultimately required a ventilator.
The researchers then tested blood samples taken from the patients within 48 hours of diagnosis or hospital admission.
They compared the results with those from patients who did not wind up needing a ventilator.
The researchers say additional research is necessary to determine how the cytokines are contributing to Covid-19 outcomes.

Science News – Times of India

Source – timesofindia.indiatimes.com

Jeffrey B. Gurrola
Jeffrey B. Gurrola
Jeffrey B. Gurrola is our tech editor for you. He is basically a techie guy. He just loves the technology to the core. Be it web or robotics or any technology this man covers it all. He always keeps track of the Tech Giants in the Silicon Valley.
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