References of "Shaw, Geoffrey M"
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See detailInsulin Sensitivity Variability during Hypothermia
Sah Pri, Azurahisham; Chase, J. Geoffrey; Pretty, Christopher et al

in Proceedings of the 19th IFAC Conference (2014, August)

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See detailInterstitial insulin kinetic parameters for a 2-compartment insulin model with saturable clearance
Pretty, Christopher G.; Le Compte, Aaron; Penning, Sophie ULg et al

in Computer Methods and Programs in Biomedicine (2014)

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See detailImpact of sensor and measurement timing errors on model-based insulin sensitivity
Pretty, Christopher ULg; Signal, Matthew; Fisk, Liam et al

in Computer Methods & Programs in Biomedicine (2013)

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See detailInsulin Sensitivity during Hypothermia in Critically Ill Patients
Sah Pri, Azurahisham; Chase, J. Geoffrey; Le Compte, Aaron J. et al

Poster (2013, September)

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See detailCumulative time in band (cTIB): glycemic level, variability and patient outcome all in one
Penning, Sophie ULg; Signal, Matthew; Preiser, Jean-Charles et al

Conference (2012, October 15)

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See detailCumulative time in band: glycemic level, variability and patient outcome vs. mortality
Penning, Sophie ULg; Signal, Matthew; Preiser, Jean-Charles et al

Poster (2012, October)

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See detailCumulative Time in Band (cTIB): Glycemic Level, Variability and Patient Outcome All in 1
Penning, Sophie ULg; Signal, Matthew; Preiser, Jean-Charles et al

in Intensive Care Medicine (2012, October), 38 (Suppl 1)

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See detailSecond pilot trials of the STAR-Liege protocol for tight glycemic control in critically ill patients
Penning, Sophie ULg; Le Compte, Aaron J.; MASSION, Paul ULg et al

in BioMedical Engineering OnLine (2012)

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See detailInterstitial kinetic parameters for a 2-compartment insulin model with saturable clearance
Pretty, Christopher ULg; Le Compte, Aaron J.; Shaw, Geoffrey M. et al

Conference (2012, August)

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See detailImpact of sensor and measurement timing errors on model-based insulin sensitivity
Pretty, Christopher ULg; Le Compte, Aaron J.; Shaw, Geoffrey M. et al

Conference (2012, August)

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See detailInterstitial kinetic parameters for a 2-compartment insulin model with saturable clearance
Pretty, Christopher ULg; Le Compte, Aaron J.; Shaw, Geoffrey M. et al

in Proceedings of the 8th IFAC Symposium on Biological and Medical Systems (2012, August)

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See detailImpact of sensor and measurement timing errors on model-based insulin sensitivity
Pretty, Christopher ULg; Le Compte, Aaron J.; Shaw, Geoffrey M. et al

in Proceedings of the 8th IFAC Symposium on Biological and Medical Systems (2012, August)

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See detailDevelopment and Pilot Trial Results of Stochastic Targeted (STAR) Glycemic Control in a Medical ICU
Fisk, Liam M.; Le Compte, Aaron J.; Shaw, Geoffrey M. et al

in Proceedings of the 8th IFAC Symposium on Biological and Medical Systems (2012, August)

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See detailVariability of insulin sensitivity during the first 4 days of critical illness: implications for tight glycemic control
Pretty, Christopher ULg; Le Compte, Aaron J.; Chase, J. Geoffrey et al

in Annals of Intensive Care (2012)

Introduction: Effective tight glycaemic control (TGC) can improve outcomes in critical care patients, but is difficult to achieve consistently. Insulin sensitivity defines the metabolic balance between ... [more ▼]

Introduction: Effective tight glycaemic control (TGC) can improve outcomes in critical care patients, but is difficult to achieve consistently. Insulin sensitivity defines the metabolic balance between insulin concentration and insulin mediated glucose disposal. Hence, variability of insulin sensitivity can cause variable glycaemia. This study quantifies and compares the daily evolution of insulin sensitivity level and variability for critical care patients receiving TGC. <br /> <br />Methods: A retrospective analysis of data from the SPRINT TGC study involving patients admitted to a mixed medical-surgical ICU between August 2005 and May 2007. Only patients who commenced TGC within 12 hours of ICU admission and spent at least 24 hours on the SPRINT protocol were included (N=164). Model-based insulin sensitivity (SI) was identified each hour. Absolute level and hour-to-hour percent changes in SI were assessed on cohort and per-patient bases. Levels and variability of SI were compared over time on 24-hour and 6-hour timescales for the first 4 days of ICU stay. <br /> <br />Results: Cohort and per-patient median SI levels increased by 34% and 33% (p<0.001) between days 1 and 2 of ICU stay. Concomitantly, cohort and per-patient SI variability decreased by 32% and 36% (p<0.001). For 72% of the cohort, median SI on day 2 was higher than on day 1. The day 1-2 results are the only clear, statistically significant trends across both analyses. <br /> <br />Analysis of the first 24 hours using 6-hour blocks of SI data showed that most of the improvement in insulin sensitivity level and variability seen between days 1 and 2 occurred during the first 12-18 hours of day 1. <br /> <br />Conclusions: Critically ill patients have significantly lower and more variable insulin sensitivity on day 1 than later in their ICU stay and particularly during the first 12 hours. This rapid improvement is likely due to the decline of counter-regulatory hormones as the acute phase of critical illness progresses. Clinically, these results suggest that while using TGC protocols with patients during their first few days of ICU stay, extra care should be afforded. Increased measurement frequency, higher target glycaemic bands, conservative insulin dosing and modulation of carbohydrate nutrition should be considered to safely minimize outcome glycaemic variability and reduce the risk of hypoglycaemia. [less ▲]

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See detailDoes Tight Glycemic Control positively impact on patient mortality?
Penning, Sophie ULg; Le Compte, Aaron J.; Signal, Matthew et al

Poster (2012, March 20)

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See detailDoes Tight Glycemic Control positively impact on patient mortality?
Penning, Sophie ULg; Le Compte, Aaron J.; Signal, Matthew et al

in Critical Care (2012, March 20)

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See detailPilot Trial of STAR in Medical ICU
Fisk, Liam M.; Le Compte, Aaron J.; Shaw, Geoffrey M. et al

Poster (2012, March)

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See detailBeat-to-beat estimation of the continuous left and right cardiac elastance from metrics commonly available in clinical settings.
Stevenson, David; Revie, James; Chase, J. Geoffrey et al

in BioMedical Engineering OnLine (2012), 11(1), 73

ABSTRACT: INTRODUCTION: : Functional time-varying cardiac elastances (FTVE) contain a rich amount of information about the specific cardiac state of a patient. However, a FTVE waveform is very invasive to ... [more ▼]

ABSTRACT: INTRODUCTION: : Functional time-varying cardiac elastances (FTVE) contain a rich amount of information about the specific cardiac state of a patient. However, a FTVE waveform is very invasive to directly measure, and is thus currently not used in clinical practice. This paper presents a method for the estimation of a patient specific FTVE, using only metrics that are currently available in a clinical setting. METHOD: : Correlations are defined between invasively measured FTVE waveforms and the aortic and pulmonary artery pressures from 2 cohorts of porcine subjects, 1 induced with pulmonary embolism, the other with septic shock. These correlations are then used to estimate the FTVE waveform based on the individual aortic and pulmonary artery pressure waveforms, using the "other" dysfunction's correlations as a cross validation. RESULTS: : The cross validation resulted in 1.26% and 2.51% median errors for the left and right FTVE respectively on pulmonary embolism, while the septic shock cohort had 2.54% and 2.90% median errors. CONCLUSIONS: : The presented method accurately and reliably estimated a patient specific FTVE, with no added risk to the patient. The cross validation shows that the method is not dependent on dysfunction and thus has the potential for generalisation beyond pulmonary embolism and septic shock. [less ▲]

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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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