Guidelines for the use of an insulin infusion for the management of hyperglycemia in critically ill patients

J Jacobi, N Bircher, J Krinsley, M Agus… - Critical care …, 2012 - journals.lww.com
Objective: To evaluate the literature and identify important aspects of insulin therapy that
facilitate safe and effective infusion therapy for a defined glycemic end point. Methods:

[HTML][HTML] Stress-induced hyperglycemia: consequences and management

D Vedantam, DS Poman, L Motwani, N Asif, A Patel… - Cureus, 2022 - ncbi.nlm.nih.gov
Hyperglycemia during stress is a common occurrence seen in patients admitted to the
hospital. It is defined as a blood glucose level above 180mg/dl in patients without pre …

Time in blood glucose range 70 to 140 mg/dl> 80% is strongly associated with increased survival in non-diabetic critically ill adults

JS Krinsley, JC Preiser - Critical care, 2015 - Springer
Introduction Hyperglycemia, hypoglycemia and increased glucose variability are
independently associated with increased risk of death in critically ill adults. The relationship …

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 …

Safety, efficacy and clinical generalization of the STAR protocol: a retrospective analysis

KW Stewart, CG Pretty, H Tomlinson, FL Thomas… - Annals of intensive …, 2016 - Springer
Background The changes in metabolic pathways and metabolites due to critical illness result
in a highly complex and dynamic metabolic state, making safe, effective management of …

Glucose variability measures and their effect on mortality: a systematic review

S Eslami, Z Taherzadeh, MJ Schultz… - Intensive care medicine, 2011 - Springer
Objective To systematically review the medical literature on the association between
glucose variability measures and mortality in critically ill patients. Methods Studies …

Feasibility of fully automated closed-loop glucose control using continuous subcutaneous glucose measurements in critical illness: a randomized controlled trial

L Leelarathna, SW English, H Thabit, K Caldwell… - Critical Care, 2013 - Springer
Introduction Closed-loop (CL) systems modulate insulin delivery according to glucose levels
without nurse input. In a prospective randomized controlled trial, we evaluated the feasibility …

STAR development and protocol comparison

LM Fisk, AJ Le Compte, GM Shaw… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Accurate glycemic control (AGC) is difficult due to excessive hypoglycemia risk. Stochastic
TARgeted (STAR) glycemic control forecasts changes in insulin sensitivity to calculate a …

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 …

Stochastic targeted (STAR) glycemic control: design, safety, and performance

A Evans, A Le Compte, CS Tan… - Journal of diabetes …, 2012 - journals.sagepub.com
Introduction: Tight glycemic control (TGC) has shown benefits but has been difficult to
achieve consistently. STAR (Stochastic TARgeted) is a flexible, model-based TGC approach …