Please use this identifier to cite or link to this item:
|Title:||Predictability of Blood Glucose in Surgical ICU Patients in Singapore|
|Citation:||Lakshmi, V.,Loganathan, P.,Rangaiah, G.P.,Chen, F.G.,Lakshminarayanan, S. (2009). Predictability of Blood Glucose in Surgical ICU Patients in Singapore. IFMBE Proceedings 23 : 1850-1853. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-92841-6_459|
|Abstract:||Tight blood glucose (BG) control is known to reduce mortality and improve outcomes in critical care patients by 29-45% . Several first principles models have been put forward to predict BG levels in patients so that tighter BG control may be achieved. These models have been employed in both simulation and clinical studies. However, to the best of our knowledge, they have not been tried for intensive care unit (ICU) patients in Singapore. Hence, the primary objective of this study is to evaluate the applicability and effectiveness of selected models for BG prediction in ICU patients, with the eventual goal of achieving tighter BG control. Two models are selected and tested for predicting clinical BG data in 8 surgical ICU patients. Results of this exploratory study are presented and discussed. © 2009 International Federation of Medical and Biological Engineering.|
|Source Title:||IFMBE Proceedings|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.