New Diagnostic Tool Identifies and Treats COVID-19 Patients at Serious Risk of Developing Cytokine Storm

Researchers at Intermountain Healthcare (Salt Lake City, UT, USA) have developed the new tool which is a diagnostic clinical score that is used to determine whether patients with the virus are at increased risk of developing the condition, known as hyperinflammatory syndrome, also sometimes referred to as a “cytokine storm.” This condition causes the immune system to react in an inappropriate and excessive way causing damage to organs. Diagnosing this hyperinflammatory syndrome is very important. With the new scoring diagnostic criteria, clinicians can now identify patients early and ideally prescribe treatments before the condition progresses and causes patients to deteriorate to critical levels.

For the study, researchers applied the new cHIS diagnostic score to 299 patients admitted to Intermountain hospitals with severe COVID-19. They found that that the criteria accurately identify patients who are at high risk for deteriorating clinically and requiring high oxygen supplementation, going on the ventilator or dying. Researchers also found that COVID-19 patients with elevated cHIS criteria were four times more likely to progress to need the ventilator for respiratory support.

“The prognostic value of the cHIS score is important because it can help doctors identify patients who are at risk of progressing to much more severe disease before it happens,” said Brandon Webb, MD, an infectious diseases physician at Intermountain Healthcare and principal investigator of the study.

Samuel Brown, MD, a critical care physician at Intermountain and co-investigator on the study, says the knowing which COVID-19 patients who are vulnerable to hyperinflammatory syndrome, will also help enhance treatment in other ways.

“The cHIS score is also important in two other ways,” explained Dr. Brown. “First, it will help us to design clinical trials targeting the patients for whom new drugs are most likely to work, and secondly, it allows us to now tailor our treatment strategy to give the right drugs to the right patients who are most likely to benefit.”

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