Reference : Tight glycemic control in critical care - The leading role of insulin sensitivity and...
Scientific journals : Article
Human health sciences : Endocrinology, metabolism & nutrition
http://hdl.handle.net/2268/80886
Tight glycemic control in critical care - The leading role of insulin sensitivity and patient variability: A review and model-based analysis.
English
Chase, J. G. [> > > >]
Le Compte, A. J. [> > > >]
Suhaimi, F. [> > > >]
Shaw, G. M. [> > > >]
Lynn, A. [> > > >]
Lin, J. [> > > >]
Pretty, C. G. [> > > >]
Razak, N. [> > > >]
Parente, J. D. [> > > >]
Hann, C. E. [> > > >]
Preiser, Jean-Charles [> >]
Desaive, Thomas mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles - Département d'astrophys., géophysique et océanographie (AGO) >]
2011
Computer Methods & Programs in Biomedicine
Elsevier Scientific
Yes (verified by ORBi)
International
0169-2607
Limerick
Ireland
[en] Tight glycemic control (TGC) has emerged as a major research focus in critical care due to its potential to simultaneously reduce both mortality and costs. However, repeating initial successful TGC trials that reduced mortality and other outcomes has proven difficult with more failures than successes. Hence, there has been growing debate over the necessity of TGC, its goals, the risk of severe hypoglycemia, and target cohorts. This paper provides a review of TGC via new analyses of data from several clinical trials, including SPRINT, Glucontrol and a recent NICU study. It thus provides both a review of the problem and major background factors driving it, as well as a novel model-based analysis designed to examine these dynamics from a new perspective. Using these clinical results and analysis, the goal is to develop new insights that shed greater light on the leading factors that make TGC difficult and inconsistent, as well as the requirements they thus impose on the design and implementation of TGC protocols. A model-based analysis of insulin sensitivity using data from three different critical care units, comprising over 75,000h of clinical data, is used to analyse variability in metabolic dynamics using a clinically validated model-based insulin sensitivity metric (S(I)). Variation in S(I) provides a new interpretation and explanation for the variable results seen (across cohorts and studies) in applying TGC. In particular, significant intra- and inter-patient variability in insulin resistance (1/S(I)) is seen be a major confounder that makes TGC difficult over diverse cohorts, yielding variable results over many published studies and protocols. Further factors that exacerbate this variability in glycemic outcome are found to include measurement frequency and whether a protocol is blind to carbohydrate administration.
http://hdl.handle.net/2268/80886
10.1016/j.cmpb.2010.11.006
Copyright (c) 2010. Published by Elsevier Ireland Ltd.

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