Insulin sensitivity and sepsis score

A correlation between model-based metric and sepsis scoring system in critically ill patients

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

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Sepsis 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 h 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 h 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 median ΔSI of the cohort is 0.4193e-3 and 0.004253e-3 L/mU.min, respectively. Additionally, median SI are 4.392 × 10−4 L/mU min (SSH1 = 0), 4.153 × 10−4 L/mU min (SSH1 = 1), 3.752 × 10−4 L/mU min (SSH1 = 2) and 2.353 × 10−4 L/mU min (SSH1 = 3). Significant relationship between insulin sensitivity across different SSH1 groups was observed (p < 0.05) even when corrected for multiple comparisons. CDF of SI indicates that insulin sensitivity is more significant when comparing an hourly sepsis score at a very distinguished level.

Original languageEnglish
Pages (from-to)112-123
Number of pages12
JournalBiomedical Signal Processing and Control
Volume32
DOIs
Publication statusPublished - 01 Feb 2017

Fingerprint

Insulin
Critical Illness
Insulin Resistance
Sepsis
Intensive care units
Systemic Inflammatory Response Syndrome
Blood
Infection
Inflammation
Morbidity
Mortality

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Health Informatics

Cite this

Suhaimi, Fatanah M. ; Chase, J. Geoffrey ; Pretty, Christopher G. ; Shaw, Geoffrey M. ; Abdul Razak, Normy Norfiza ; Jamaludin, Ummu K. / Insulin sensitivity and sepsis score : A correlation between model-based metric and sepsis scoring system in critically ill patients. In: Biomedical Signal Processing and Control. 2017 ; Vol. 32. pp. 112-123.
@article{bb5387ac2dbd433482054e8732b79b25,
title = "Insulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patients",
abstract = "Sepsis 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 h 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 h 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 median ΔSI of the cohort is 0.4193e-3 and 0.004253e-3 L/mU.min, respectively. Additionally, median SI are 4.392 × 10−4 L/mU min (SSH1 = 0), 4.153 × 10−4 L/mU min (SSH1 = 1), 3.752 × 10−4 L/mU min (SSH1 = 2) and 2.353 × 10−4 L/mU min (SSH1 = 3). Significant relationship between insulin sensitivity across different SSH1 groups was observed (p < 0.05) even when corrected for multiple comparisons. CDF of SI indicates that insulin sensitivity is more significant when comparing an hourly sepsis score at a very distinguished level.",
author = "Suhaimi, {Fatanah M.} and Chase, {J. Geoffrey} and Pretty, {Christopher G.} and Shaw, {Geoffrey M.} and {Abdul Razak}, {Normy Norfiza} and Jamaludin, {Ummu K.}",
year = "2017",
month = "2",
day = "1",
doi = "10.1016/j.bspc.2016.08.005",
language = "English",
volume = "32",
pages = "112--123",
journal = "Biomedical Signal Processing and Control",
issn = "1746-8094",
publisher = "Elsevier BV",

}

Insulin sensitivity and sepsis score : A correlation between model-based metric and sepsis scoring system in critically ill patients. / Suhaimi, Fatanah M.; Chase, J. Geoffrey; Pretty, Christopher G.; Shaw, Geoffrey M.; Abdul Razak, Normy Norfiza; Jamaludin, Ummu K.

In: Biomedical Signal Processing and Control, Vol. 32, 01.02.2017, p. 112-123.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Insulin sensitivity and sepsis score

T2 - A correlation between model-based metric and sepsis scoring system in critically ill patients

AU - Suhaimi, Fatanah M.

AU - Chase, J. Geoffrey

AU - Pretty, Christopher G.

AU - Shaw, Geoffrey M.

AU - Abdul Razak, Normy Norfiza

AU - Jamaludin, Ummu K.

PY - 2017/2/1

Y1 - 2017/2/1

N2 - Sepsis 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 h 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 h 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 median ΔSI of the cohort is 0.4193e-3 and 0.004253e-3 L/mU.min, respectively. Additionally, median SI are 4.392 × 10−4 L/mU min (SSH1 = 0), 4.153 × 10−4 L/mU min (SSH1 = 1), 3.752 × 10−4 L/mU min (SSH1 = 2) and 2.353 × 10−4 L/mU min (SSH1 = 3). Significant relationship between insulin sensitivity across different SSH1 groups was observed (p < 0.05) even when corrected for multiple comparisons. CDF of SI indicates that insulin sensitivity is more significant when comparing an hourly sepsis score at a very distinguished level.

AB - Sepsis 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 h 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 h 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 median ΔSI of the cohort is 0.4193e-3 and 0.004253e-3 L/mU.min, respectively. Additionally, median SI are 4.392 × 10−4 L/mU min (SSH1 = 0), 4.153 × 10−4 L/mU min (SSH1 = 1), 3.752 × 10−4 L/mU min (SSH1 = 2) and 2.353 × 10−4 L/mU min (SSH1 = 3). Significant relationship between insulin sensitivity across different SSH1 groups was observed (p < 0.05) even when corrected for multiple comparisons. CDF of SI indicates that insulin sensitivity is more significant when comparing an hourly sepsis score at a very distinguished level.

UR - http://www.scopus.com/inward/record.url?scp=84999006739&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84999006739&partnerID=8YFLogxK

U2 - 10.1016/j.bspc.2016.08.005

DO - 10.1016/j.bspc.2016.08.005

M3 - Article

VL - 32

SP - 112

EP - 123

JO - Biomedical Signal Processing and Control

JF - Biomedical Signal Processing and Control

SN - 1746-8094

ER -