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Glycemic control in the critically ill: What have we learned since NICE-SUGAR?
1Stamford Hospital - Medicine/Critical Care, Columbia University College of Physicians and Surgeons , Stamford, CT , USA.
Intensive blood glucose control in critically ill patients showed increased mortality. Recent research clarifies limitations and explores glycemic control domains, including variability and time in target range.
Area of Science:
- Critical Care Medicine
- Endocrinology
- Metabolic Disorders
Background:
- The Normoglycemia in Intensive Care Evaluation - Survival Using Glucose Algorithm Regulation trial (2009) linked intensive blood glucose control to increased mortality in critically ill patients.
- This led to reduced enthusiasm for 'tight glucose control' in intensive care units (ICUs).
- However, ongoing research has refined understanding of glycemic control limitations and clinical aspects.
Purpose of the Study:
- To review recent research (last 6 years) on glycemic control in critically ill patients.
- To explore key domains of glycemic control: hyperglycemia, hypoglycemia, and glucose variability.
- To examine the role of diabetic status and premorbid glucose control.
Main Methods:
- Literature review of studies published in the last six years.
- Analysis of research on glycemic control domains and their impact on mortality.
- Evaluation of factors influencing glycemic control, such as measurement frequency and time in target range.
Main Results:
- Advances in understanding hyperglycemia, hypoglycemia, and glucose variability in critically ill patients.
- Diabetic status and premorbid glucose control significantly modulate the relationship between glycemic control and mortality.
- Measurement frequency is crucial for achieving target blood glucose control.
- Time in targeted blood glucose range emerges as a potentially unifying metric.
Conclusions:
- Glycemic control in critically ill patients requires nuanced understanding beyond simple 'tight control'.
- Individual patient factors, particularly diabetic status, are critical.
- Optimizing blood glucose monitoring and considering time in target range are key for improved outcomes.
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