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

Groundbreaking AI-Driven Sepsis Diagnosis Technology Could Guide Personalized Treatment for Hospitalized COVID-19 Patients

By HospiMedica International staff writers
Posted on 04 Feb 2022
Print article
Illustration
Illustration

A novel diagnostic assay for the early and rapid diagnosis of sepsis, based on the detection of unique molecular signatures of sepsis specific to the immune response, rather than the presence of a pathogen, could guide personalized treatment for hospitalized COVID-19 patients.

Asep Medical Holdings Inc. (Vancouver, BC, Canada) has finalized an exclusive licensing arrangement with the University of British Columbia (Vancouver, BC, Canada) for a patented and potentially groundbreaking AI-driven technology that enables early and accurate diagnosis of the deadly disease sepsis, which is also a major contributing factor in COVID-19 morbidity. Asep’s novel diagnostic test called SepsetER senses the dysfunctional immune response underlying sepsis at the time that patients first enter the emergency room. The test is a blood-based gene expression assay that is straightforward to implement, and results are obtained in about an hour in the emergency room or intensive care unit. Current diagnostic tools deliver results after approximately 24-36 hours often delaying the initiation of treatment. SepsetER is designed to enable physicians to quickly predict the severity of the disease and thus define better, more immediate treatment options for the patient.

Sepsis, a difficult-to-diagnose disease because of extensive variability in symptoms and outcomes, can be divided into five separate subtypes/endotypes according to the underlying biological mechanisms that drive the disease. Patients hospitalized with life-threatening COVID-19 also fit into these same endotypes, indicating that many COVID-19 patients have severe sepsis. Two endotypes are particularly associated with more severe sepsis and accompanying organ failure and patients falling into these two subtypes were more likely to die. The most severe form of sepsis, occurring in up to one-half of all hospitalized COVID-19 patients, can lead to multi-organ failure, the requirement for mechanical ventilation, and in many cases death.

Furthermore, many patients who recover from severe sepsis suffer from chronic medical issues which are very similar to those issues that afflict patients that suffer from long-term COVID-19 disease, termed long COVID. Being able to classify sepsis into the five sepsis endotypes could provide key information to physicians regarding the underlying mechanisms of disease and help guide personalized treatment options for those patients at greatest risk of severe sepsis. Asep's patent licensing arrangement with UBC gives it exclusive rights to develop the sepsis severity endotypes into a diagnostic test and bring the test to market.

"This technology will enable us to make a major impact on the lives of patients who acquire this deadly syndrome. Early and accurate diagnosis is vital to saving lives and we expect this technology to be widely used in hospitals and clinics around the world," said leading UBC microbiologist and the company's founding director and COO, Dr. Robert E.W. Hancock who led the development of the technology.

Related Links:
Asep Medical Holdings Inc.
The University of British Columbia 

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Radial Shock Wave Device
MASTERPULS »ultra«

Print article

Channels

Surgical Techniques

view channel
Image: The tiny, flexible devices can wrap around individual nerve fibers without damaging them (Photo courtesy of 123RF)

Robotic Nerve ‘Cuffs’ Could Treat Various Neurological Conditions

Electric nerve implants serve dual functions: they can either stimulate or block signals in specific nerves. For example, they may alleviate pain by inhibiting pain signals or restore movement in paralyzed... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... 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