Insulin sensitivity as a model-based marker for sepsis diagnosis

Fatanah M. Suhaimi, J. Geoffrey Chase, Christopher G. Pretty, Geoffrey M. Shaw, Normy Norfiza Abdul Razak, Ummu Jamaludin

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)372-376
Number of pages5
JournalIFAC-PapersOnLine
Volume28
Issue number20
DOIs
Publication statusPublished - 01 Sep 2015
Event9th IFAC Symposium on Biological and Medical Systems, BMS 2015 - Berlin, Germany
Duration: 31 Aug 201502 Sep 2015

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Insulin
Distribution functions

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Suhaimi, F. M., Chase, J. G., Pretty, C. G., Shaw, G. M., Abdul Razak, N. N., & Jamaludin, U. (2015). Insulin sensitivity as a model-based marker for sepsis diagnosis. IFAC-PapersOnLine, 28(20), 372-376. https://doi.org/10.1016/j.ifacol.2015.10.168
Suhaimi, Fatanah M. ; Chase, J. Geoffrey ; Pretty, Christopher G. ; Shaw, Geoffrey M. ; Abdul Razak, Normy Norfiza ; Jamaludin, Ummu. / Insulin sensitivity as a model-based marker for sepsis diagnosis. In: IFAC-PapersOnLine. 2015 ; Vol. 28, No. 20. pp. 372-376.
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Suhaimi, FM, Chase, JG, Pretty, CG, Shaw, GM, Abdul Razak, NN & Jamaludin, U 2015, 'Insulin sensitivity as a model-based marker for sepsis diagnosis', IFAC-PapersOnLine, vol. 28, no. 20, pp. 372-376. https://doi.org/10.1016/j.ifacol.2015.10.168

Insulin sensitivity as a model-based marker for sepsis diagnosis. / Suhaimi, Fatanah M.; Chase, J. Geoffrey; Pretty, Christopher G.; Shaw, Geoffrey M.; Abdul Razak, Normy Norfiza; Jamaludin, Ummu.

In: IFAC-PapersOnLine, Vol. 28, No. 20, 01.09.2015, p. 372-376.

Research output: Contribution to journalConference article

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AU - Suhaimi, Fatanah M.

AU - Chase, J. Geoffrey

AU - Pretty, Christopher G.

AU - Shaw, Geoffrey M.

AU - Abdul Razak, Normy Norfiza

AU - Jamaludin, Ummu

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N2 - 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.

AB - 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.

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