Severe sepsis is characterised by organ dysfunction secondary to infection, typically bacterial. We will quantify bacteria in the bloodstream of patients with septic shock, the most severe form of sepsis, to determine the relationship between bacterial load and clinical outcomes. We hypothesise that the bacterial load on presentation and the change in bacterial load over time determines survival and the evolution of organ failure in patients with septic shock.
Rapid Prediction Of Antibiotic Resistance In The Enterobacteriaceae: Making Use Of Restricted Diversity In Mobile Resistance Gene Pools
Funder
National Health and Medical Research Council
Funding Amount
$385,032.00
Summary
Immediate treatment of patients suffering life-threatening bacterial infections with effective antibiotics greatly improves their chances of survival, but antibiotic resistance increasingly complicates this treatment. Currently such resistance cannot be detected in time to help decide the best antibiotic to use. We aim to define a small set of the many known antibiotic resistance genes that can be used accurately predict resistance in rapid tests using modern detection systems.