Comparative Simulation Study of Glucose Control Methods Designed for Use in the Intensive Care Unit Setting via a Novel Controller Scoring Metric.

ABSTRACT:

Background

Effective glucose control in the intensive care unit (ICU) setting has the potential to decrease morbidity and mortality rates and thereby decrease health care expenditures. To evaluate what constitutes effective glucose control, typically several metrics are reported, including time in range, time in mild and severe hypoglycemia, coefficient of variation, and others. To date, there is no one metric that combines all of these individual metrics to give a number indicative of overall performance. We proposed a composite metric that combines 5 commonly reported metrics, and we used this composite metric to compare 6 glucose controllers.

Methods

We evaluated the following controllers: Ideal Medical Technologies (IMT) artificial-intelligence-based controller, Yale pro

SUBMITTER: DeJournett J 

PROVIDER: S-EPMC5951048 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature