Abstract

<p class="lead">A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to account for time-varying insulin sensitivity. ICING was developed and validated from critically-ill patients with various medical conditions in the intensive care unit in Christchurch Hospital, New Zealand. Hence, it is interesting and vital to analyse the compatibility of the model once fitted to Malaysian critically-ill data. Results were assessed in terms of percentage of model-fit error, both by cohort and per-patient analysis. The ICING model accomplished median fitting error of<1% over data from 63 patients. Most importantly, the median per-patients is at a low fitting error of 0.34% and per cohort is 0.35%. These results provide a promising avenue for near future simulations of developing tight glycaemic control protocol in the Malaysian intensive care unit.</p>

Highlights

  • Critical care units are seeing rapidly growing numbers of patients with hyperglycaemia which is similar to diabetes due to endemic insulin resistance as well as the stress of their condition

  • The median per-patients is at a low fitting error of 0.34% and per cohort is 0.35%. These results provide a promising avenue for near future simulations of developing tight glycaemic control protocol in the Malaysian intensive care unit

  • The median perpatients is at a low fitting error of 0.34% and by cohort is 0.35%. These results provide a promising avenue for near future simulations of developing TGC protocol in the Malaysian intensive care unit

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Summary

Introduction

Critical care units are seeing rapidly growing numbers of patients with hyperglycaemia (high blood glucose) which is similar to diabetes due to endemic insulin resistance as well as the stress of their condition. FEASIBILITY OF AN INTENSIVE CONTROL INSULIN-NUTRITION GLUCOSE MODEL ‘ICING’ WITH MALAYSIAN CRITICALLY-ILL PATIENT It is interesting and vital to analyse the compatibility of the model once fitted to Malaysian critically-ill data.

Results
Conclusion
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