Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to …

JG Chase, JC Preiser, JL Dickson, A Pironet… - Biomedical engineering …, 2018 - Springer
Critical care, like many healthcare areas, is under a dual assault from significantly
increasing demographic and economic pressures. Intensive care unit (ICU) patients are …

Stimuli sensitive polymers and self regulated drug delivery systems: A very partial review

RA Siegel - Journal of controlled release, 2014 - Elsevier
Since the early days of the Journal of Controlled Release, there has been considerable
interest in materials that can release drug on an “on-demand” basis. So called “stimuli …

A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients

J Lin, NN Razak, CG Pretty, A Le Compte… - Computer methods and …, 2011 - Elsevier
Intensive insulin therapy (IIT) and tight glycaemic control (TGC), particularly in intensive care
unit (ICU), are the subjects of increasing and controversial debate in recent years. Model …

Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change

JG Chase, G Shaw, A Le Compte, T Lonergan… - Critical care, 2008 - Springer
Introduction Stress-induced hyperglycaemia is prevalent in critical care. Control of blood
glucose levels to within a 4.4 to 6.1 mmol/L range or below 7.75 mmol/L can reduce mortality …

Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care

J Lin, D Lee, JG Chase, GM Shaw, A Le Compte… - Computer methods and …, 2008 - Elsevier
Targeted, tight model-based glycemic control in critical care patients that can reduce
mortality 18–45% is enabled by prediction of insulin sensitivity, SI. However, this parameter …

Tight glycemic control in critical care–the leading role of insulin sensitivity and patient variability: a review and model-based analysis

JG Chase, AJ Le Compte, F Suhaimi, GM Shaw… - Computer methods and …, 2011 - Elsevier
Tight glycemic control (TGC) has emerged as a major research focus in critical care due to
its potential to simultaneously reduce both mortality and costs. However, repeating initial …

Validation of a model-based virtual trials method for tight glycemic control in intensive care

JG Chase, F Suhaimi, S Penning, JC Preiser… - Biomedical engineering …, 2010 - Springer
Background In-silico virtual patients and trials offer significant advantages in cost, time and
safety for designing effective tight glycemic control (TGC) protocols. However, no such …

Generalisability of a virtual trials method for glycaemic control in intensive care

JL Dickson, KW Stewart, CG Pretty… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Background: Elevated blood glucose (BG) concentrations (Hyperglycaemia) are a common
complication in critically ill patients. Insulin therapy is commonly used to treat …

Analysis of algorithms for intensive care unit blood glucose control

BW Bequette - 2007 - journals.sagepub.com
Intensive care unit (ICU) blood glucose control algorithms were reviewed and analyzed in
the context of linear systems theory and classical feedback control algorithms. Closed-loop …

Variability of insulin sensitivity during the first 4 days of critical illness: implications for tight glycemic control

CG Pretty, AJ Le Compte, JG Chase, GM Shaw… - Annals of intensive …, 2012 - Springer
Background Effective tight glycemic control (TGC) can improve outcomes in critical care
patients, but it is difficult to achieve consistently. Insulin sensitivity defines the metabolic …