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

Diagnosis; Intensive care units; Clinical conditions; Critically-ill patients; Insulin sensitivity; Multiple comparison; Real-time diagnosis; Sepsis; Sepsis score; Systemic inflammatory response syndromes; Insulin; insulin; adult; aged; APACHE; Article; clinical article; controlled study; critically...

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Main Authors: Suhaimi F.M., Chase J.G., Pretty C.G., Shaw G.M., Razak N.N., Jamaludin U.K.
Other Authors: 36247893200
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-233092023-05-29T14:39:21Z Insulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patients Suhaimi F.M. Chase J.G. Pretty C.G. Shaw G.M. Razak N.N. Jamaludin U.K. 36247893200 35570524900 6508290605 7401773560 37059587300 55330889600 Diagnosis; Intensive care units; Clinical conditions; Critically-ill patients; Insulin sensitivity; Multiple comparison; Real-time diagnosis; Sepsis; Sepsis score; Systemic inflammatory response syndromes; Insulin; insulin; adult; aged; APACHE; Article; clinical article; controlled study; critically ill patient; diagnostic value; disease assessment; female; human; insulin sensitivity; male; modified hourly sepsis score; predictive value; priority journal; scoring system; sensitivity and specificity; sepsis 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. � 2016 Elsevier Ltd Final 2023-05-29T06:39:21Z 2023-05-29T06:39:21Z 2017 Article 10.1016/j.bspc.2016.08.005 2-s2.0-84999006739 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999006739&doi=10.1016%2fj.bspc.2016.08.005&partnerID=40&md5=fb227b398ba6ad000cb6b51488f942ca https://irepository.uniten.edu.my/handle/123456789/23309 32 112 123 All Open Access, Green Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
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continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
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description Diagnosis; Intensive care units; Clinical conditions; Critically-ill patients; Insulin sensitivity; Multiple comparison; Real-time diagnosis; Sepsis; Sepsis score; Systemic inflammatory response syndromes; Insulin; insulin; adult; aged; APACHE; Article; clinical article; controlled study; critically ill patient; diagnostic value; disease assessment; female; human; insulin sensitivity; male; modified hourly sepsis score; predictive value; priority journal; scoring system; sensitivity and specificity; sepsis
author2 36247893200
author_facet 36247893200
Suhaimi F.M.
Chase J.G.
Pretty C.G.
Shaw G.M.
Razak N.N.
Jamaludin U.K.
format Article
author Suhaimi F.M.
Chase J.G.
Pretty C.G.
Shaw G.M.
Razak N.N.
Jamaludin U.K.
spellingShingle Suhaimi F.M.
Chase J.G.
Pretty C.G.
Shaw G.M.
Razak N.N.
Jamaludin U.K.
Insulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patients
author_sort Suhaimi F.M.
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 Ltd
publishDate 2023
_version_ 1806423248351526912