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

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dc.citedby6
dc.contributor.authorSuhaimi F.M.en_US
dc.contributor.authorChase J.G.en_US
dc.contributor.authorPretty C.G.en_US
dc.contributor.authorShaw G.M.en_US
dc.contributor.authorRazak N.N.en_US
dc.contributor.authorJamaludin U.K.en_US
dc.contributor.authorid36247893200en_US
dc.contributor.authorid35570524900en_US
dc.contributor.authorid6508290605en_US
dc.contributor.authorid7401773560en_US
dc.contributor.authorid37059587300en_US
dc.contributor.authorid55330889600en_US
dc.date.accessioned2023-05-29T06:39:21Z
dc.date.available2023-05-29T06:39:21Z
dc.date.issued2017
dc.descriptionDiagnosis; 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; sepsisen_US
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 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 Ltden_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.bspc.2016.08.005
dc.identifier.epage123
dc.identifier.scopus2-s2.0-84999006739
dc.identifier.spage112
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84999006739&doi=10.1016%2fj.bspc.2016.08.005&partnerID=40&md5=fb227b398ba6ad000cb6b51488f942ca
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23309
dc.identifier.volume32
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleBiomedical Signal Processing and Control
dc.titleInsulin sensitivity and sepsis score: A correlation between model-based metric and sepsis scoring system in critically ill patientsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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