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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
safety for designing effective tight glycemic control (TGC) protocols. However, no such …
Generalisability of a virtual trials method for glycaemic control in intensive care
Background: Elevated blood glucose (BG) concentrations (Hyperglycaemia) are a common
complication in critically ill patients. Insulin therapy is commonly used to treat …
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 …
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
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 …
patients, but it is difficult to achieve consistently. Insulin sensitivity defines the metabolic …