Insulin sensitivity as a model-based marker for sepsis diagnosis

No Thumbnail Available
Suhaimi F.M.
Chase J.G.
Pretty C.G.
Shaw G.M.
Razak N.
Jamaludin U.
Journal Title
Journal ISSN
Volume Title
Research Projects
Organizational Units
Journal Issue
Sepsis is highly associated with microcirculatory dysfunction, which normally results in organ failure and increased risk of death. Importantly, early goal-directed therapy observed lower mortality rates in septic shock patients compared to those assigned to standard therapy. Currently, it is almost impossible to diagnose a patient at the onset of sepsis due to the lack of real-time metrics with high sensitivity and specificity. Patient condition is mostly determined by clinician experience and observation of patient reaction to treatment. In this study, a model-based insulin sensitivity profile is used to identify the relation between individual metabolic conditions to their sepsis status. The hour-to-hour variation of insulin sensitivity is highly independent of the treatment received by the patient and may represent a metabolic status for real-time diagnosis of sepsis. The hour-to-hour variation of insulin sensitivity profile is analyzed with sepsis score calculated according to the definition provided by ACCP/SCCM. P-values of various sepsis score group are computed using Mann-Whitney test. Cumulative distribution function of insulin sensitivity shows separation between different sepsis score and more distinguishable at a higher sepsis score compared to the lower sepsis score. � 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Diagnosis; Distribution functions; Insulin; Metabolism; Microcirculation; Patient treatment; Cumulative distribution function; High sensitivity; Insulin sensitivity; Metabolic conditions; Model-based OPC; Mortality rate; Patient condition; Real-time diagnosis; Sensitivity analysis