Author Interviews, Biomarkers, Infections, PLoS, Technology / 10.12.2015
Point of Care Platform Aims To Detect Sepsis in 90 Minutes
MedicalResearch.com Interview with:
Leo McHugh, Ph.D.
Director, Bioinformatics
Immunexpress
Seattle, Washington
Medical Research: What is the background for this study? What are the main findings?
Dr. McHugh: Sepsis is the leading cause of child mortality in the world, and in developing countries kills more adults than breast cancer, prostate cancer and HIV combined. Approximately 30% of people admitted to ICU have sepsis, and up to 50% of these patients die. It’s a major cost burden also, costing the US health system $17 billion per year. The best way to reduce costs and improve patient outcomes is to detect sepsis early and with confidence, so that appropriate treatments can be applied. Each hour delay in the detection of sepsis has been reported to correspond to an 8% increase in mortality. So the need for a rapid and accurate diagnostic is recognized. Traditional methods rely on detection of the specific pathogen causing the infection, and these methods often take more than 24 hours, and find a pathogen in only 30% of clinically confirmed cases because they’re trying to detect a minuscule amount of pathogen or pathogenic product in the blood. Our approach was to use the host’s own immune system, which is highly tuned to respond to the presence of pathogens. Around 30% of all genes are dysregulated in sepsis, so there is a huge signal base to draw from. The trick with using multi marker host response is to pick out the specific combination of gene expression patterns that cover the broad range of patients that present with sepsis and who may present either early or late in the episode, thus with different gene activation patterns.
This paper describes a simple combination of such genes that can be used to detect sepsis and performs over the full range of patients irrespective of stage of infection or severity of infection. In it’s current format, the test is manual and takes 4-6 hours, and is a great advance on the current tools, however the methods we’ve used are specifically designed to meet requirements to port this assay onto a fully automated Point of Care platform that could deliver a result in under 90 minutes.
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