OPUS 12 Scientist, Volume 3, Number 1 (Jan-Mar 2009)

Introducing the glucogram: Description of a novel technique to quantify clinical significance of acute hyperglycemic events.

S. Peter Stawicki, Dara Schuster, J. F. Liu, Jyoti Kamal, S. Erdal, Anthony T. Gerlach, Melissa L. Whitmill, David E. Lindsey, Yalaunda M. Thomas, Claire Murphy, Steven M. Steinberg, Charles H. Cook

Abstract


The importance of hyperglycemia in the intensive care unit (ICU) is well established. However, little is known regarding the clinical predictive value of acute hyperglycemic events. This report describes a graphical model that quantifies the correlation between momentum/stochastic indicators, acute hyperglycemia, and clinical events in chronic ICU patients. The model is based on previously described principles of graphical representations of biomedical parameter data. We hypothesize that acute hyperglycemic events are significantly associated with major clinical events and that the model described herein helps to better characterize and quantify this important relationship.

Citation: Stawicki SP, Schuster D, Liu JF, Kamal J, Erdal S, Gerlach AT, Whitmill ML, Lindsey DE, Thomas YM, Murphy C, Steinberg SM, Cook CH. Introducing the glucogram: Description of a novel technique to quantify clinical significance of acute hyperglycemic events. OPUS 12 Scientist 2009;3(1):2-5.

Keywords: Surgical intensive care unit, Glycemic control, Stochastic indicator, Momentum indicator, Glucogram, Acute hyperglycemic events, Graphical representation, Predictive modeling.

Copyright 2007-2009 OPUS 12 Foundation, Inc.

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