Insulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patients

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dc.contributor.authorSuhaimi, F.M.
dc.contributor.authorChase, Geoff
dc.contributor.authorPretty, C.G.
dc.contributor.authorShaw, Geoff
dc.contributor.authorRazak, N.N.
dc.contributor.authorJamaludin, U.K.
dc.date.accessioned2019-10-14T22:46:38Z
dc.date.available2019-10-14T22:46:38Z
dc.date.issued2016en
dc.description.abstractSepsis is highly correlated with mortality and morbidity. Sepsis is a clinical condition demarcated as the existence of infection and systemic inflammatory response syndrome, SIRS. Confirmation of infection requires a blood culture test, which requires incubation, and thus results take at least 48 hours for a syndrome that requires early direct treatment. Since sepsis has a strong inflammatory component, it is hypothesized that metabolic markers affected by inflammation, such as insulin sensitivity, might provide a metric for more rapid, real-time diagnosis. This study uses clinical data from 30 sepsis patients (7624 hours in ICU) of whom 60% are male. Median age and median Apache II score are 63 years and 19, respectively. Model-identified insulin sensitivity (SI) profiles were obtained for each patient, and insulin sensitivity and its hourly changes were correlated with modified hourly sepsis scores (SSH1). SI profiles and values were similar across the cohort. The sepsis score is highly variable and changes rapidly. The modified hourly sepsis score, SSH1, shows a better relation with insulin sensitivity due to less fluctuation in the SIRS element. Median SI and ΔSI of the cohort is 4.193e-4 and 4.253e-6 L/mU.min, respectively. P-values are 0.0392 (SSH1 = 0, SSH1 = 2), 0.3337 (SSH1 = 0, SSH1 = 3), and 0.0581 (SSH1 = 1, SSH1 = 2), respectively. CDF of SI indicates that insulin sensitivity is more significant when comparing hourly sepsis score at a very distinguish level.en
dc.identifier.citationSuhaimi, F.M., Chase, J.G., Pretty, C.G., Shaw, G.M., Razak, N.N., Jamaludin, U.K. (2016) Insulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patients. Biomedical Signal Processing and Control, (in press).en
dc.identifier.doihttps://doi.org/10.1016/j.bspc.2016.08.005
dc.identifier.urihttp://hdl.handle.net/10092/17426
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineeringen
dc.rightsCreative Commons Attribution Non-Commercial No Derivatives Licenseen
dc.rights.urihttps://hdl.handle.net/10092/17651
dc.subjectglucose-insulin modelen
dc.subjectICUen
dc.subjectinsulin sensitivityen
dc.subjectsepsisen
dc.subjectsepsis scoreen
dc.subject.anzsrcField of Research::11 - Medical and Health Sciences::1108 - Medical Microbiology::110802 - Medical Infection Agents (incl. Prions)en
dc.subject.anzsrcFields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinologyen
dc.subject.anzsrcFields of Research::40 - Engineering::4003 - Biomedical engineering::400303 - Biomechanical engineeringen
dc.titleInsulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patientsen
dc.typeJournal Articleen
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