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.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Detecto

Download Mobile App





Machine Learning-Based Rapid Diagnostic Reads Immune System to Predict COVID-19 Severity Risk

By HospiMedica International staff writers
Posted on 30 Sep 2020
Print article
Image: Machine Learning-Based Rapid Diagnostic Reads Immune System to Predict COVID-19 Severity Risk (Photo courtesy of Inflammatix)
Image: Machine Learning-Based Rapid Diagnostic Reads Immune System to Predict COVID-19 Severity Risk (Photo courtesy of Inflammatix)
A rapid diagnostic that reads the immune system to predict severe respiratory failure risk in COVID-19 patients is being developed to help physicians make better hospital admission and resourcing decisions for COVID-19 patients at hospital presentation.

Inflammatix (Burlingame, CA, USA) has been awarded USD 1.1 million by the Defense Advanced Research Projects Agency (DARPA) for further development of the rapid diagnostic named CoVerity COVID-19 Severity Test. The Inflammatix approach – known as host-response diagnostics – rapidly reads the immune system using multiple mRNA biomarkers and a machine learning algorithm. The company is developing other host-response diagnostic tests that identify the presence and type of infection (viral or bacterial), in addition to predicting the risk of severe disease, to enable physicians to make more informed decisions for patients with acute infection and sepsis.

The company’s host-response diagnostic approach for predicting COVID-19 severity risk was shown to be superior to clinical biomarkers, including IL-6, in a new study presented recently at the 2020 European Society of Clinical Microbiology and Infection Diseases (ESCMID) Conference on Coronavirus Disease (ECCVID). In a prospective study of 97 patients with PCR-confirmed SARS-CoV-2 pneumonia and blood drawn on the day of hospital admission, CoVerity demonstrated an area under the receiver operating characteristic curve (AUROC) of 0.88 (95% CI 0.81-0.95) for identifying patients who developed respiratory failure or died, independent of age, while IL-6 had an AUROC of 0.73 (95% CI 0.62 - 0.85). The new classifier had the highest accuracy among all single biomarkers tested, including IL-6, procalcitonin, C-reactive protein, lactate, and SuPAR.

“While major progress has been made in developing rapid platforms to diagnose SARS-CoV-2 infection, predicting severity in COVID-19 patients remains an unmet medical need,” said Evangelos J. Giamarellos-Bourboulis, MD, Professor of Internal Medicine and Infectious Diseases at ATTIKON University General Hospital in Athens, Greece, Chairman of the European Sepsis Alliance, President of the European Shock Society, and lead investigator for the study. “In this study, the host-response approach demonstrated very high accuracy for identifying severe disease in COVID-19 patients and outperformed clinical markers for risk stratification. Existing tools have shown limited accuracy in enabling us to confidently identify high-risk patients early who need close monitoring or discharge non-severe patients to recover at home.”

“We are grateful that DARPA has recognized the promise of our host-response approach to benefit COVID-19 patients and caregivers, and we look forward to accelerating development and availability of our CoVerity COVID-19 Severity Test as a result of this agreement,” said Inflammatix CEO and Cofounder Tim Sweeney, MD, PhD. “The 5-mRNA classifier for CoVerity was developed on a training set of more than 20 clinical studies and we intend to translate it into a rapid assay that can be used as a clinical tool to help triage patients after diagnosis with COVID-19. Improved triage has the potential to reduce morbidity and mortality while enabling hospitals to allocate resources more effectively.”

Related Links:
Inflammatix

Gold Supplier
Temperature Monitor
ThermoScan Temperature Monitoring Unit
New
Data Management Platform
Track-it
New
X-Ray Image Acquisition Software
dicomPACS DX-R
New
Medical Software
Bladder Scanner Graphics Workstation Software

Print article

Channels

AI

view channel
Image: A novel research study moves the needle on predicting coronary artery disease (Photo courtesy of Pexels)

AI-Enabled ECG Analysis Predicts Heart Attack Risk Nearly as well as CT Scans

Increased coronary artery calcium is a marker of coronary artery disease that can lead to a heart attack. Traditionally, CT scans are used to diagnose buildup of coronary artery calcium, although CT scanners... Read more

Critical Care

view channel
Image: The advanced electronic skin could enable multiplex healthcare monitoring (Photo courtesy of Terasaki Institute)

First-of-Its-Kind Electronic Skin Patch Enables Advanced Health Care Monitoring

For some time now, electronic skin (E-skin) patches have been used to monitor bodily physiological and chemical indicators of health. Such monitors, placed on the skin, are capable of measuring various... Read more

Surgical Techniques

view channel
Image: The neuro-chip with soft implantable electrodes could manage brain disorders (Photo courtesy of EPFL)

Implantable Neuro-Chip Uses Machine Learning Algorithm to Detect and Treat Neurological Disorders

Using a combination of low-power chip design, machine learning algorithms, and soft implantable electrodes, researchers have produced a neural interface that can identify and suppress symptoms of different... Read more

Health IT

view channel
Image: Using digital data can improve health outcomes (Photo courtesy of Unsplash)

Electronic Health Records May Be Key to Improving Patient Care, Study Finds

When a patient gets transferred from a hospital to a nearby specialist or rehabilitation facility, it is often difficult for personnel at the new facility to access the patient’s electronic health records... Read more

Point of Care

view channel
Image: Steripath improves the diagnostic accuracy and timeliness of sepsis test results (Photo courtesy of Magnolia)

All-in-One Device Reduces False-Positive Diagnostic Test Results for Bloodstream Infections

Blood cultures are considered the gold standard diagnostic test for the detection of blood stream infections, such as sepsis. However, positive blood culture results can be frequently wrong, and about... Read more

Business

view channel
Image: Researchers expect broader adoption of AI in healthcare in the near future (Photo courtesy of Pexels)

Artificial Intelligence (AI) Could Save U.S. Healthcare Industry USD 360 Billion Annually

The wider adoption of artificial intelligence (AI) in healthcare could save the U.S. up to USD 360 billion annually although its uptake in the industry is presently limited owing to the absence of trust... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.