| Estimating insulin sensitivity from glucose levels only: Use of a non-linear mixed effects approach and maximum a posteriori (MAP) estimation. | |
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MedLine Citation:
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PMID: 22244505 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Insulin Sensitivity is an important parameter for the management of Diabetes. It can be derived for a particular patient using data derived from some glucose challenge tests using measured glucose and insulin levels at various times. Whilst a useful approach, deriving insulin sensitivities to inform insulin dosing in other settings such as Intensive Care Units can be more challenging - especially as insulin levels have to be assayed in a laboratory, not at the bedside. This paper investigates an approach to measure insulin sensitivity from glucose levels only. Estimates of mean and between individual parameter variances are used to derive conditional estimates of insulin sensitivity. The method is demonstrated to perform reasonably well, with conditional estimates comparing well with estimates derived from insulin data as well. |
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Authors:
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James W T Yates; Edmund M Watson |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-11 |
Journal Detail:
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Title: Computer methods and programs in biomedicine Volume: - ISSN: 1872-7565 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-16 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8506513 Medline TA: Comput Methods Programs Biomed Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012 Elsevier Ireland Ltd. All rights reserved. |
Affiliation:
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AstraZeneca R&D, Alderley Park, UK. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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