References of "Penning, Sophie"
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See detailVariability of insulin sensitivity during the first 4 days of critical illness
Pretty, Christopher ULg; Le Compte, A; Chase, JG et al

in Critical Care (2012), 16 (Suppl 1)

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See detailCumulative time in band (cTIB): glycemic level, variability and patient outcome vs mortality
Penning, Sophie ULg; Signal, M; Preiser, JC et al

in Proceedings of ANZICS 2012 (2012)

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See detailPilot Trial of STAR in Medical ICU
Fisk, LM; Le Compte, A; Shaw, GM et al

in Critical Care (2012), 16 (Suppl 1)

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See detailEvolution de l’insulino-résistance au cours de l’hypothermie thérapeutique
Moermans, A; Taccone, F; Penning, Sophie ULg et al

in Proceedings des journees francophone de nutrition 2012 (2012)

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See detailSTAR Development and Protocol Comparison
Fisk, Liam M.; Le Compte, Aaron J.; Shaw, Geoffrey M. et al

in IEEE Transactions on Biomedical Engineering (2012)

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See detailInterface Design and Human Factors Consideration for Model-Based Tight Glycemic Control in Critical Care
Ward, Logan; Steel, James; Le Compte, Aaron et al

in Journal of Diabetes Science and Technology (2012)

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See detailStochastic Targeted (STAR) Glycemic Control - Design, Safety and Performance
Evans, Alicia; Le Compte, Aaron; Tan, Chian-Siong et al

in Journal of Diabetes Science and Technology (2012)

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See detailData Entry Errors and Design for Model-Based Tight Glycemic Control in Critical Care
Ward, Logan; Steel, James; Le Compte, Aaron et al

in Journal of Diabetes Science and Technology (2012)

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See detailGlycemic Variability, Hypoglycemia and Organ Failure in the Glucontrol Study
Penning, Sophie ULg; Le Compte, Aaron J.; Preiser, Jean-Charles et al

Poster (2011, December)

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See detailEnhanced insulin sensitivity variability in the first 3 days of ICU stay: Implications for TGC
Chase, J. Geoffrey; Le Compte, Aaron; Penning, Sophie ULg et al

in Critical Care (2011, March)

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See detailValidation of a virtual patient and virtual trials method for accurate prediction of TGC protocol performance
Suhaimi, Fatanah; Le Compte, Aaron; Penning, Sophie ULg et al

in Critical Care (2011, March)

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See detailValidation of a Virtual Patient and Virtual Trials Method for Accurate Prediction of TGC Protocol Performance
Suhaimi, Fatanah; Le Compte, Aaron; Penning, Sophie ULg et al

Poster (2011, March)

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See detailEnhanced insulin sensitivity variability in the first 3 days of ICU stay: Implications for TGC
Chase, Geoffrey; Le Compte, Aaron; Penning, Sophie ULg et al

Poster (2011, March)

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See detailInsulin Sensitivity, Its Variability and Glycemic Outcome: A model-based analysis of the difficulty in achieving tight glycemic control in critical care
Chase, J. Geoffrey; Le Compte, Aaron J.; Preiser, Jean-Charles et al

in 18th World Congress of the International Federation of Automatic Control (IFAC) (2011)

Effective tight glycemic control (TGC) can improve outcomes in intensive care unit (ICU) <br />patients, but is difficult to achieve consistently. Glycemic level and variability, particularly early in a ... [more ▼]

Effective tight glycemic control (TGC) can improve outcomes in intensive care unit (ICU) <br />patients, but is difficult to achieve consistently. Glycemic level and variability, particularly early in a <br />patient’s stay, are a function of variability in insulin sensitivity/resistance resulting from the level and <br />evolution of stress response, and are independently associated with mortality. This study examines the <br />daily evolution of variability of insulin sensitivity in ICU patients using patient data (N = 394 patients, <br />54019 hours) from the SPRINT TGC study. Model-based insulin sensitivity (SI) was identified each hour <br />and hour-to-hour percent changes in SI were assessed for Days 1-3 individually and Day 4 Onward, as <br />well as over all days. Cumulative distribution functions (CDFs), median values, and inter-quartile points <br />(25th and 75th percentiles) are used to assess differences between groups and their evolution over time. <br />Compared to the overall (all days) distributions, ICU patients are more variable on Days 1 and 2 (p < <br />0.0001), and less variable on Days 4 Onward (p < 0.0001). Day 3 is similar to the overall cohort (p = 0.74). <br />Absolute values of SI start lower and rise for Days 1 and 2, compared to the overall cohort (all days), (p < <br />0.0001), are similar on Day 3 (p = .72) and are higher on Days 4 Onward (p < 0.0001). ICU patients have <br />lower insulin sensitivity (greater insulin resistance) and it is more variable on Days 1 and 2, compared to <br />an overall cohort on all days. This is the first such model-based analysis of its kind. Greater variability <br />with lower SI early in a patient’s stay greatly increases the difficulty in achieving and safely maintaining <br />glycemic control, reducing potential positive outcomes. Clinically, the results imply that TGC patients will <br />require greater measurement frequency, reduced reliance on insulin, and more explicit specification of <br />carbohydrate nutrition in Days 1-3 to safely minimise glycemic variability for best outcome. [less ▲]

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See detailSafety and Performance of Stochastic Targeted (STAR) TGC of Insulin and Nutrition
Shaw, GM; Le Compte, Aaron; Evans, A et al

in Proceedings of SQAO 2011 (2011)

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See detailPilot Trials of STAR Target to Range Glycemic Control
Penning, Sophie ULg; Le Compte, Aaron; Massion, Paul et al

in Intensive Care Medicine (2011), 37 (Suppl 1)

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See detailVariability of insulin sensitivity for diabetics and non-diabetics during the first 3 days of ICU stay
Pretty, Christopher G.; Le Compte, Aaron; Preiser, Jean-Charles et al

in Intensive Care Medicine (2011), 37 (Suppl 1)

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See detailVariability of insulin sensitivity for diabetics and non-diabetics during the first 3 days of ICU stay
Pretty, Christopher G.; Le Compte, Aaron; Preiser, Jean-Charles et al

Poster (2011)

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