Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients

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...

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Main Authors: Fatanah, M. Suhaimi, Chase, J. Geoffrey, Pretty, Christopher G., Shaw, Geoffrey M., Normy Norfiza, A. Razak, Ummu Kulthum, Jamaludin
Format: Article
Language:English
English
Published: Elsevier 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/14155/
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http://umpir.ump.edu.my/id/eprint/14155/
http://umpir.ump.edu.my/id/eprint/14155/1/1-s2.0-S1746809416301008-main.pdf
http://umpir.ump.edu.my/id/eprint/14155/7/Insulin%20sensitivity%20and%20sepsis%20score-%20A%20correlation%20between%20model-based%20metric%20and%20sepsis%20scoring%20system%20in%20critically%20ill%20patients%201.pdf
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spelling ump-141552018-11-30T01:55:13Z http://umpir.ump.edu.my/id/eprint/14155/ Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients Fatanah, M. Suhaimi Chase, J. Geoffrey Pretty, Christopher G. Shaw, Geoffrey M. Normy Norfiza, A. Razak Ummu Kulthum, Jamaludin QA Mathematics RZ Other systems of medicine TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery 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 SI 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. Elsevier 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14155/1/1-s2.0-S1746809416301008-main.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14155/7/Insulin%20sensitivity%20and%20sepsis%20score-%20A%20correlation%20between%20model-based%20metric%20and%20sepsis%20scoring%20system%20in%20critically%20ill%20patients%201.pdf Fatanah, M. Suhaimi and Chase, J. Geoffrey and Pretty, Christopher G. and Shaw, Geoffrey M. and Normy Norfiza, A. Razak and Ummu Kulthum, Jamaludin (2017) Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients. Biomedical Signal Processing and Control, 32. pp. 112-123. ISSN 1746-8094 http://dx.doi.org/10.1016/j.bspc.2016.08.005 DOI: 10.1016/j.bspc.2016.08.005
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic QA Mathematics
RZ Other systems of medicine
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
spellingShingle QA Mathematics
RZ Other systems of medicine
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
Fatanah, M. Suhaimi
Chase, J. Geoffrey
Pretty, Christopher G.
Shaw, Geoffrey M.
Normy Norfiza, A. Razak
Ummu Kulthum, Jamaludin
Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients
description 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 SI 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.
format Article
author Fatanah, M. Suhaimi
Chase, J. Geoffrey
Pretty, Christopher G.
Shaw, Geoffrey M.
Normy Norfiza, A. Razak
Ummu Kulthum, Jamaludin
author_facet Fatanah, M. Suhaimi
Chase, J. Geoffrey
Pretty, Christopher G.
Shaw, Geoffrey M.
Normy Norfiza, A. Razak
Ummu Kulthum, Jamaludin
author_sort Fatanah, M. Suhaimi
title Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients
title_short Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients
title_full Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients
title_fullStr Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients
title_full_unstemmed Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients
title_sort insulin sensitivity and sepsis score: a correlation between model-based metric and sepsis scoring system in critically ill patients
publisher Elsevier
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/14155/
http://umpir.ump.edu.my/id/eprint/14155/
http://umpir.ump.edu.my/id/eprint/14155/
http://umpir.ump.edu.my/id/eprint/14155/1/1-s2.0-S1746809416301008-main.pdf
http://umpir.ump.edu.my/id/eprint/14155/7/Insulin%20sensitivity%20and%20sepsis%20score-%20A%20correlation%20between%20model-based%20metric%20and%20sepsis%20scoring%20system%20in%20critically%20ill%20patients%201.pdf
first_indexed 2023-09-18T22:17:35Z
last_indexed 2023-09-18T22:17:35Z
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