The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score
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
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Springer Science and Business Media Deutschland GmbH
2023
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my.uniten.dspace-265752023-05-29T17:12:14Z The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score Abu-Samah A. Razak A.A. Razak N.N. Suhaimi F.M. Jamaludin U. 56719596600 56960052400 37059587300 36247893200 55330889600 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 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. Final 2023-05-29T09:12:13Z 2023-05-29T09:12:13Z 2021 Conference Paper 10.1007/978-3-030-65092-6_6 2-s2.0-85101381471 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101381471&doi=10.1007%2f978-3-030-65092-6_6&partnerID=40&md5=7e7a03f2ba6b55d5981c53ca51f695a1 https://irepository.uniten.edu.my/handle/123456789/26575 81 54 62 Springer Science and Business Media Deutschland GmbH Scopus |
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| 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 |
| author2 |
56719596600 |
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56719596600 Abu-Samah A. Razak A.A. Razak N.N. Suhaimi F.M. Jamaludin U. |
| format |
Conference Paper |
| author |
Abu-Samah A. Razak A.A. Razak N.N. Suhaimi F.M. Jamaludin U. |
| spellingShingle |
Abu-Samah A. Razak A.A. Razak N.N. Suhaimi F.M. Jamaludin U. The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score |
| author_sort |
Abu-Samah A. |
| title |
The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score |
| title_short |
The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score |
| title_full |
The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score |
| title_fullStr |
The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score |
| title_full_unstemmed |
The Correlation of Model-Based Insulin Sensitivity and Respiratory P/F Score |
| title_sort |
correlation of model-based insulin sensitivity and respiratory p/f score |
| publisher |
Springer Science and Business Media Deutschland GmbH |
| publishDate |
2023 |
| _version_ |
1806426303205736448 |
| score |
13.222552 |