Publication:
The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score

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dc.citedby1
dc.contributor.authorAbu-Samah A.en_US
dc.contributor.authorRazak A.A.en_US
dc.contributor.authorRazak N.N.en_US
dc.contributor.authorSuhaimi F.M.en_US
dc.contributor.authorJamaludin U.en_US
dc.contributor.authorid56719596600en_US
dc.contributor.authorid56960052400en_US
dc.contributor.authorid37059587300en_US
dc.contributor.authorid36247893200en_US
dc.contributor.authorid55330889600en_US
dc.date.accessioned2023-05-29T09:12:13Z
dc.date.available2023-05-29T09:12:13Z
dc.date.issued2021
dc.descriptionBiomedical engineering; Correlation methods; Diagnosis; Safety engineering; Critically-ill patients; General patterns; Insulin resistance; Insulin sensitivity; Pearson correlation; Respiratory failure; Respiratory function; Respiratory organs; Insulinen_US
dc.description.abstractInsulin resistance and impaired respiratory function have been associated together and have been suggested to be potential predictors for organ failures in ICU. Insulin resistance is however difficult to measure in real time especially in the case of critically-ill patients. ICING models enable the estimation of insulin sensitivity (SI) as a reflection of the resistance. Knowing their levels and of impaired lung function level could be useful first and foremost to determine potential respiratory organ failure. The relationship between them was studied using a retrospective data of 20 patients ((mean���SD) age: 62.5���12.2) admitted to the Universiti Malaya Medical Centre ICU, Kuala Lumpur. Data on gender, age, race, admission diagnosis and morbidities were collected in each patient. Correlation of per-patient SI to P/F (PO2/PiO2) score was determined using Pearson correlation score. In this single-centre study, results indicated that the generated SI can potentially replace insulin resistance measurement. Correlation scores were negatively high for 4 patients (<?8.0), but the data from respiratory side were small and unbalanced to generate any general pattern. In conclusion, the estimated SI can be used for further studies with more data to link and predict the decline of respiratory failure in the ICU. � 2021, Springer Nature Switzerland AG.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-65092-6_6
dc.identifier.epage62
dc.identifier.scopus2-s2.0-85101381471
dc.identifier.spage54
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85101381471&doi=10.1007%2f978-3-030-65092-6_6&partnerID=40&md5=7e7a03f2ba6b55d5981c53ca51f695a1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26575
dc.identifier.volume81
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleIFMBE Proceedings
dc.titleThe Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Scoreen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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