ArticleJournal of diabetes science and technology2007
Analysis of algorithms for intensive care unit blood glucose control.
Article in Journal of diabetes science and technology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Effects of tight computerized glucose control on neurological outcome in severely brain injured patients: a multicenter sub-group analysis of the randomized-controlled open-label CGAO-REA study.Critical care (London, England) · 2014Trial
- Tight computerized versus conventional glucose control in the ICU: a randomized controlled trial.Intensive care medicine · 2014Trial
- Glucose Control in the ICU: A Continuing Story.Journal of diabetes science and technology · 2016Review
- In Silico Testing of an Artificial-Intelligence-Based Artificial Pancreas Designed for Use in the Intensive Care Unit Setting.Journal of diabetes science and technology · 2016Article
- Progress in development of an artificial pancreas.Journal of diabetes science and technology · 2009Article
- Intensive Care Unit Insulin Delivery Algorithms: Why So Many? How to Choose?Journal of diabetes science and technology · 2009Article
- In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes.Journal of diabetes science and technology · 2009Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
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 performance was illustrated by applying the algorithms in simulation studies using an in silico model of an ICU patient. Steady-state and dynamic input-output analysis was used to provide insight about controller design and potential closed-loop performance. The proportional-integral-derivative, columnar insulin dosing (CID, Glucommander-like), and glucose regulation for intensive care patients (GRIP) algorithms were shown to have similar features and performance. The CID strategy is a time-varying proportional-only controller (no integral action), whereas the GRIP algorithm is a nonlinear controller with integral action. A minor modification to the GRIP algorithm was suggested to improve the closed-loop performance. Recommendations were made to guide control theorists on important ICU control topics worthy of further study.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.