Biomedical system modelling; simulation and visualization; Control of physiological and clinical variables
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Pretty, Christopher ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Signal, Matthew
Fisk, Liam
Penning, Sophie ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Le Compte, Aaron
Shaw, Geoffrey M.
Desaive, Thomas ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Chase, J. Geoffrey
Language :
English
Title :
Impact of sensor and measurement timing errors on model-based insulin sensitivity
Lin J., Razak N.N., Pretty C.G., Le Compte A., Docherty P., Parente J.D., Shaw G.M., Hann C.E., Geoffrey Chase J. A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients. Comput. Methods Programs Biomed. 2011, 102(May (2)):192-205.
Hovorka R., Chassin L.J., Ellmerer M., Plank J., Wilinska M.E. A simulation model of glucose regulation in the critically ill. Physiol. Meas. 2008, 29(August (8)):959-978.
Abbott Optium Blood Glucose Test Strip Datasheet 2010, Abbott Diabetes Care Ltd., UK.
Arkray GlucocardTM Test Strip 2 Data Sheet 2007, Arkray Inc., Japan.
Roche, Evaluation report of the Accu-Chek Comfort Curve Test Strip as a plasma-like test strip, Roche Diagnostics, Mannheim, Germany,http://www.poc.roche.com/en_US/pdf/Evaluation_Report001.pdf.
Solnica B., Naskalski J.W., Sieradzki J. Analytical performance of glucometers used for routine glucose self-monitoring of diabetic patients. Clin. Chim. Acta 2003, 331(May (1-2)):29-35.
Chase J.G., Shaw G., Le Compte A., Lonergan T., Willacy M., Wong X.W., Lin J., Lotz T., Lee D., et al. Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change. Crit. Care 2008, 12(2):R49.
Van Cauter E., Mestrez F., Sturis J., Polonsky K.S. Estimation of insulin secretion rates from C-peptide levels. Comparison of individual and standard kinetic parameters for C-peptide clearance. Diabetes 1992, 41(March (3)):368-377.
Hann C.E., Chase J.G., Lin J., Lotz T., Doran C.V., Shaw G.M. Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model. Comput. Methods Programs Biomed. 2005, 77(March (3)):259-270.
Lotz T.F., Chase J.G., McAuley K.A., Shaw G.M., Wong X.W., Lin J., Le Compte A., Hann C.E., Mann J.I. Monte Carlo analysis of a new model-based method for insulin sensitivity testing. Comput. Methods Programs Biomed. 2008, 89(March (3)):215-225.
Abbott Diabetes Care OptiumTest Strip Data Sheet 2010, Abbott Diabetes Care, UK.
Evans A., Shaw G.M., Le Compte A., Tan C.S., Ward L., Steel J., Pretty C.G., Pfeifer L., Penning S., et al. Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control. Ann. Intensive Care 2011, 1:38.
Pretty C., Chase J.G., Lin J., Shaw G.M., Le Compte A., Razak N., Parente J.D. Impact of glucocorticoids on insulin resistance in the critically ill. Comput. Methods Programs Biomed. 2010, 102(2):2-10.
Pretty C., Le Compte A., Chase J.G., Shaw G.M., Preiser J.C., Penning S., Desaive T. Variability of insulin sensitivity during the first 4 days of critical illness: implications for tight glycaemic control. Ann. Intensive Care 2012, 2:17.
Bergenstal R.M. Evaluating the accuracy of modern glucose meters. Insulin 2008, 3:5-14.
Ginsberg B.H. Factors affecting blood glucose monitoring: sources of errors in measurement. J. Diabetes Sci. Technol. 2009, 3(July (4)):903-913.
