Publication: The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score
Date
2021
Authors
Abu-Samah A.
Razak A.A.
Razak N.N.
Suhaimi F.M.
Jamaludin U.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
Insulin 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.
Description
Biomedical engineering; Correlation methods; Diagnosis; Safety engineering; Critically-ill patients; General patterns; Insulin resistance; Insulin sensitivity; Pearson correlation; Respiratory failure; Respiratory function; Respiratory organs; Insulin