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Aaron Le Compte

Observed names: A Le Compte, A. L. Compte, A. Le Compte, AJ Le Compte, Aaron LE COMPTE
OpenAlex ID: A5113666773
Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change
2008 · JGeoffrey Chase, Geoffrey Shaw, et al. · Critical Care · 264
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A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients
2011 · Jessica Lin, Normy N. Razak, et al. · Computer Methods and Programs in Biomedicine · 216
Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care
2007 · Jessica Lin, Dominic Lee, et al. · Computer Methods and Programs in Biomedicine · 163
A Simple Insulin-Nutrition Protocol for Tight Glycemic Control in Critical Illness: Development and Protocol Comparison
2006 · Timothy Lonergan, Aaron Le Compte, et al. · Diabetes Technology & Therapeutics · 125
Outcome at 2 Years after Dextrose Gel Treatment for Neonatal Hypoglycemia: Follow-Up of a Randomized Trial
2015 · Deborah L. Harris, Jane M. Alsweiler, et al. · The Journal of Pediatrics · 123
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Stochastic Targeted (STAR) Glycemic Control: Design, Safety, and Performance
2012 · Alicia Evans, Aaron Le Compte, et al. · Journal of Diabetes Science and Technology · 123
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A Pilot Study of the SPRINT Protocol for Tight Glycemic Control in Critically Ill Patients
2006 · Timothy Lonergan, Aaron Le Compte, et al. · Diabetes Technology & Therapeutics · 106
Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control
2011 · Alicia Evans, Geoffrey M Shaw, et al. · Annals of Intensive Care · 93
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Glycemic Levels in Critically Ill Patients: Are Normoglycemia and Low Variability Associated with Improved Outcomes?
2012 · Matthew Signal, Aaron Le Compte, et al. · Journal of Diabetes Science and Technology · 70
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What Makes Tight Glycemic Control Tight? The Impact of Variability and Nutrition in Two Clinical Studies
2010 · F. Suhaimi, A. L. Compte, et al. · Journal of Diabetes Science and Technology · 68
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Blood Glucose Controller for Neonatal Intensive Care: Virtual Trials Development and First Clinical Trials
2009 · Aaron Le Compte, J. Geoffrey Chase, et al. · Journal of Diabetes Science and Technology · 57
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Cost Analysis of Treating Neonatal Hypoglycemia with Dextrose Gel
2018 · Matthew J. Glasgow, Jane E. Harding, et al. · The Journal of Pediatrics · 46
Continuous Glucose Monitors and the Burden of Tight Glycemic Control in Critical Care: Can They Cure the Time Cost?
2010 · Matthew Signal, Christopher G. Pretty, et al. · Journal of Diabetes Science and Technology · 42
Impact of Retrospective Calibration Algorithms on Hypoglycemia Detection in Newborn Infants Using Continuous Glucose Monitoring
2012 · Matthew Signal, Aaron Le Compte, et al. · Diabetes Technology & Therapeutics · 39
Impact of glucocorticoids on insulin resistance in the critically ill
2010 · Christopher Pretty, J. Geoffrey Chase, et al. · Computer Methods and Programs in Biomedicine · 37
Model-Based Insulin Sensitivity as a Sepsis Diagnostic in Critical Care
2008 · Amy Blakemore, Sheng-Hui Wang, et al. · Journal of Diabetes Science and Technology · 35
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Hypoglycemia Detection in Critical Care Using Continuous Glucose Monitors: An in Silico Proof of Concept Analysis
2010 · Christopher G. Pretty, J. Geoffrey Chase, et al. · Journal of Diabetes Science and Technology · 26
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Modeling the glucose regulatory system in extreme preterm infants
2010 · Aaron Le Compte, J. Geoffrey Chase, et al. · Computer Methods and Programs in Biomedicine · 24
Impact of sensor and measurement timing errors on model-based insulin sensitivity
2013 · Christopher G. Pretty, Matthew Signal, et al. · Computer Methods and Programs in Biomedicine · 21
Using Stochastic modelling to identify unusual continuous glucose monitor measurements and behaviour, in newborn infants
2012 · Matthew Signal, Aaron Le Compte, et al. · BioMedical Engineering OnLine · 17
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Continuous Glucose Monitoring and Trend Accuracy
2014 · Matthew Signal, Rebecca Gottlieb, et al. · Journal of Diabetes Science and Technology · 15
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Interface Design and Human Factors Considerations for Model-Based Tight Glycemic Control in Critical Care
2012 · Logan Ward, James Steel, et al. · Journal of Diabetes Science and Technology · 10
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Data Entry Errors and Design for Model-Based Tight Glycemic Control in Critical Care
2012 · Logan Ward, James Steel, et al. · Journal of Diabetes Science and Technology · 9
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Interstitial insulin kinetic parameters for a 2-compartment insulin model with saturable clearance
2014 · Christopher G. Pretty, Aaron Le Compte, et al. · Computer Methods and Programs in Biomedicine · 8
Observation of incretin effects during enteral feed transitions of critically ill patients
2012 · Ummu K. Jamaludin, Paul D. Docherty, et al. · e-SPEN Journal · 8
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Works count: 54
Citation count: 1,775
H-index: 19
I10-index: 22
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