We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

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

By HospiMedica International staff writers
Posted on 02 Oct 2020
Print article
Illustration
Illustration
Researchers have developed a new clinical tool to accurately identify and diagnose COVID-19 patients who are at high risk of developing a serious inflammatory condition that can damage the lungs and other organs.

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.”

Related Links:
Intermountain Healthcare

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Anesthesia Workstation
X40

Print article

Channels

Critical Care

view channel
Image: The stretchable microneedle electrode arrays (Photo courtesy of Zhao Research Group)

Stretchable Microneedles to Help In Accurate Tracking of Abnormalities and Identifying Rapid Treatment

The field of personalized medicine is transforming rapidly, with advancements like wearable devices and home testing kits making it increasingly easy to monitor a wide range of health metrics, from heart... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more