Evidence map›Paper›PMID 19865614›Full record

ArticleJournal of diabetes science and technology2009

Intensive Care Unit Insulin Delivery Algorithms: Why So Many? How to Choose?

Garry M Steil, Dorothee Deiss, Judy Shih, Bruce Buckingham, Stuart Weinzimer, Michael S D Agus

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 51 citations in OpenAlex.

  1. Tight Glycemic Control in Critically Ill Children.The New England journal of medicine · 2017
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  4. Design and rationale of safe pediatric euglycemia after cardiac surgery: a randomized controlled trial of tight glycemic control after pediatric cardiac surgery.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2013
    Trial
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  6. Value of continuous glucose monitoring for minimizing severe hypoglycemia during tight glycemic control.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2011
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  17. Medanta insulin protocols in patients undergoing cardiac surgery.Indian journal of endocrinology and metabolism · 2014
    Review
  18. Tight glycemic control in the ICU - is the earth flat?Critical care (London, England) · 2014
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Garry M SteilDepartment of Medicine, Children's Hospital Boston , Boston, Massachusetts.
Dorothee Deiss
Judy Shih
Bruce Buckingham
Stuart Weinzimer
Michael S D Agus
Harvard University · USBoston Children's Hospital · USCharité - Universitätsmedizin Berlin · DEStanford Medicine · USYale University · US

Funding

WIRELESS CAPSULE ENDOSCOPY TO EVALUATE THE SMALL INTESTINE M01RR002172 · NCRR · CHILDREN'S HOSPITAL BOSTON · PI MANDELL, JAMES WILLIAM · 1985 to 2008
$16.0M
SPECS: Safe Pediatric Euglycemia in Cardiac SurgeryR01HL088448 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI AGUS, MICHAEL SD · 2007 to 2011
$4.0M
NCRR NIH HHS M01 RR002172NHLBI NIH HHS R01 HL088448
6 · The paper itself

Abstract

objectiveStudies showing improved outcomes with tight glycemic control in the intensive care unit (ICU) have resulted in a substantial number of new insulin delivery algorithms being proposed. The present study highlights mechanisms used in the better-known approaches, examines what might be critical differences among them, and uses systems theory to characterize the conditions under which each can be expected to perform best.

methodsAlgorithm dose (DeltaI/DeltaG) and step (response to a persistent elevation in glucose) response curves were calculated for written instruction algorithms, developed at the Providence Heart and Vascular Institute (Portland [P] protocol), the University of Washington (UW), and Yale University (Y), together with similar curves for the Glucommander (GM) and proportional integral derivative (PID) computer algorithms. From the simulated curves, different mechanisms used to adjust insulin delivery were identified.

resultsAll algorithms increased insulin delivery in response to persistent hyperglycemia, but the mechanism used altered the algorithm's sensitivity to glucose, or gain, in the GM, UW, and Y protocols, while leaving it unchanged for the P protocol and PID algorithm.

conclusionsThe increase in insulin delivery in response to persistent hyperglycemia observed with all the algorithms can be expected to bring subjects who respond to insulin to targeted glucose ranges. However, because the PID and P protocols did not alter the insulin delivery response curves, these algorithms can be expected to take longer to achieve target glucose levels in individuals who are insulin resistant and/or are exposed to increased carbohydrate loads (e.g., glucose infusions). By contrast, the GM, UW, and Y algorithms can be expected to adapt to the insulin resistance such that the time to achieve target levels is unchanged if the time for insulin to act does not change. If the insulin resistance is accompanied by a longer time for insulin to act, the UW, Y, and GM algorithms may increase the risk of hypoglycemia. Under these conditions, the longer time required for the PID and P protocols to achieve a target glucose level may be a reasonable trade-off for no increase in the risk of hypoglycemia.

Identifiers

PMID19865614
PMCPMC2768418
OpenAlexW2043786761

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.