Key result
Software-guided algorithms for insulin dosing represent a new method to achieve euglycemia in critical illness, but current research is disorganized and lacks standardization of newer variables.
Software-guided algorithms for insulin dosing in critical illness require standardized measurements and variables to improve tight glycemic control.
Requires standardized variables before software-guided insulin dosing enters critical care; leaves open optimal algorithms and outcome validation.
Since the development of intensive insulin therapy for the critically ill adult, tight glycemic control (TGC) has become increasingly complicated to apply and achieve. Software-guided (SG) algorithms for insulin dosing represent a new method to achieve euglycemia in critical illness. We provide an overview of the state of SG TGC with an eye to the future. The current milieu is disorganized, with little research that incorporates newer variables of dysglycemia, such as glycemic variability. To develop and implement better algorithms, scientists, programmers, and clinicians need to standardize measurements and variables.
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Rattan et al. (2013) conducted a review in Critical illness with dysglycemia. Software-guided (SG) algorithms for insulin dosing was evaluated. Software-guided algorithms for insulin dosing represent a new method to achieve euglycemia in critical illness, but current research is disorganized and lacks standardization of newer variables.
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