Physiological modelling of agitation–sedation dynamics including endogenous agitation reduction
Sedation administration and agitation management are fundamental activities in any intensive care unit. A lack of objective measures of agitation and sedation, as well as poor understanding of the underlying dynamics, contribute to inefficient outcomes and expensive healthcare. Recent models of agit...
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Veröffentlicht in: | Medical engineering & physics 2006-09, Vol.28 (7), p.629-638 |
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description | Sedation administration and agitation management are fundamental activities in any intensive care unit. A lack of objective measures of agitation and sedation, as well as poor understanding of the underlying dynamics, contribute to inefficient outcomes and expensive healthcare. Recent models of agitation–sedation pharmacodynamics have enhanced understanding of the underlying dynamics and enable development of advanced protocols for semi-automated sedation administration. However, these initial models do not capture all observed dynamics, particularly periods of low sedative infusion. A physiologically representative model that incorporates endogenous agitation reduction (EAR) dynamics is presented and validated using data from 37 critical care patients. High median relative average normalised density (RAND) values of 0.77 and 0.78 support and minimum RAND values of 0.51 and 0.55 for models without and with EAR dynamics respectively show that both models are valid representations of the fundamental agitation–sedation dynamics present in a broad spectrum of intensive care unit (ICU) patients. While the addition of the EAR dynamic increases the ability of the model to capture the observed dynamics of the agitation–sedation system, the improvement is relatively small and the sensitivity of the model to the EAR dynamic is low. Although this may represent a limitation of the model, the inclusion of EAR is shown to be important for accurately capturing periods of low, or no, sedative infusion, such as during weaning prior to extubation. |
doi_str_mv | 10.1016/j.medengphy.2005.10.008 |
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A lack of objective measures of agitation and sedation, as well as poor understanding of the underlying dynamics, contribute to inefficient outcomes and expensive healthcare. Recent models of agitation–sedation pharmacodynamics have enhanced understanding of the underlying dynamics and enable development of advanced protocols for semi-automated sedation administration. However, these initial models do not capture all observed dynamics, particularly periods of low sedative infusion. A physiologically representative model that incorporates endogenous agitation reduction (EAR) dynamics is presented and validated using data from 37 critical care patients. High median relative average normalised density (RAND) values of 0.77 and 0.78 support and minimum RAND values of 0.51 and 0.55 for models without and with EAR dynamics respectively show that both models are valid representations of the fundamental agitation–sedation dynamics present in a broad spectrum of intensive care unit (ICU) patients. While the addition of the EAR dynamic increases the ability of the model to capture the observed dynamics of the agitation–sedation system, the improvement is relatively small and the sensitivity of the model to the EAR dynamic is low. 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A lack of objective measures of agitation and sedation, as well as poor understanding of the underlying dynamics, contribute to inefficient outcomes and expensive healthcare. Recent models of agitation–sedation pharmacodynamics have enhanced understanding of the underlying dynamics and enable development of advanced protocols for semi-automated sedation administration. However, these initial models do not capture all observed dynamics, particularly periods of low sedative infusion. A physiologically representative model that incorporates endogenous agitation reduction (EAR) dynamics is presented and validated using data from 37 critical care patients. High median relative average normalised density (RAND) values of 0.77 and 0.78 support and minimum RAND values of 0.51 and 0.55 for models without and with EAR dynamics respectively show that both models are valid representations of the fundamental agitation–sedation dynamics present in a broad spectrum of intensive care unit (ICU) patients. While the addition of the EAR dynamic increases the ability of the model to capture the observed dynamics of the agitation–sedation system, the improvement is relatively small and the sensitivity of the model to the EAR dynamic is low. Although this may represent a limitation of the model, the inclusion of EAR is shown to be important for accurately capturing periods of low, or no, sedative infusion, such as during weaning prior to extubation.</description><subject>Agitation</subject><subject>Biomedical Engineering</subject><subject>Critical Care</subject><subject>Dynamic modelling</subject><subject>Humans</subject><subject>Hypnotics and Sedatives - administration & dosage</subject><subject>Hypnotics and Sedatives - pharmacokinetics</subject><subject>Midazolam - administration & dosage</subject><subject>Midazolam - pharmacokinetics</subject><subject>Models, Biological</subject><subject>Morphine - administration & dosage</subject><subject>Morphine - pharmacokinetics</subject><subject>Non-linear dynamics</subject><subject>Nonlinear Dynamics</subject><subject>Physiological models</subject><subject>Psychomotor Agitation - drug therapy</subject><subject>Psychomotor Agitation - physiopathology</subject><subject>Sedation</subject><issn>1350-4533</issn><issn>1873-4030</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1u1DAUhS0Eou3AK9Cs2GW4Hv8kWVYV0EqVYAFry-N7k3qU2NM4QZod79A37JPgdEZ02ZWP7O_42ucwdslhzYHrL7v1QEih298f1hsAlXfXAPUbds7rSpQSBLzNWigopRLijF2ktAMAKbV4z8643jS1kvyc2Z_3h-RjHzvvbF8MEanvfeiK2Ba285OdfAxPfx8T4bMs8BDs4F0qfHD9jAtKAWNHIc7pxVKMhLNb1Af2rrV9oo-ndcV-f_v66_qmvPvx_fb66q50UjZTWQkkII2uxZZQSeWcFqohW-kWELRtNmLL1ZY4CbRV01QanAOb00CHtRUr9vl4736MDzOlyQw-ufwbGyg_zegadKMVvAryRopK8TqD1RF0Y0xppNbsRz_Y8WA4mKUGszP_azBLDctBriE7P51GzNtMvPhOuWfg6ghQTuSPp9Ek5yk4Qj-SmwxG_-qQf1tSoeE</recordid><startdate>20060901</startdate><enddate>20060901</enddate><creator>Rudge, A.D.</creator><creator>Chase, J.G.</creator><creator>Shaw, G.M.</creator><creator>Lee, D.</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20060901</creationdate><title>Physiological modelling of agitation–sedation dynamics including endogenous agitation reduction</title><author>Rudge, A.D. ; Chase, J.G. ; Shaw, G.M. ; Lee, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c449t-73de0e6dcfdfed545cc6359ea76f0d06a923b15be1e3da799760cc0a016dcd8a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Agitation</topic><topic>Biomedical Engineering</topic><topic>Critical Care</topic><topic>Dynamic modelling</topic><topic>Humans</topic><topic>Hypnotics and Sedatives - administration & dosage</topic><topic>Hypnotics and Sedatives - pharmacokinetics</topic><topic>Midazolam - administration & dosage</topic><topic>Midazolam - pharmacokinetics</topic><topic>Models, Biological</topic><topic>Morphine - administration & dosage</topic><topic>Morphine - pharmacokinetics</topic><topic>Non-linear dynamics</topic><topic>Nonlinear Dynamics</topic><topic>Physiological models</topic><topic>Psychomotor Agitation - drug therapy</topic><topic>Psychomotor Agitation - physiopathology</topic><topic>Sedation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rudge, A.D.</creatorcontrib><creatorcontrib>Chase, J.G.</creatorcontrib><creatorcontrib>Shaw, G.M.</creatorcontrib><creatorcontrib>Lee, D.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Medical engineering & physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rudge, A.D.</au><au>Chase, J.G.</au><au>Shaw, G.M.</au><au>Lee, D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Physiological modelling of agitation–sedation dynamics including endogenous agitation reduction</atitle><jtitle>Medical engineering & physics</jtitle><addtitle>Med Eng Phys</addtitle><date>2006-09-01</date><risdate>2006</risdate><volume>28</volume><issue>7</issue><spage>629</spage><epage>638</epage><pages>629-638</pages><issn>1350-4533</issn><eissn>1873-4030</eissn><abstract>Sedation administration and agitation management are fundamental activities in any intensive care unit. A lack of objective measures of agitation and sedation, as well as poor understanding of the underlying dynamics, contribute to inefficient outcomes and expensive healthcare. Recent models of agitation–sedation pharmacodynamics have enhanced understanding of the underlying dynamics and enable development of advanced protocols for semi-automated sedation administration. However, these initial models do not capture all observed dynamics, particularly periods of low sedative infusion. A physiologically representative model that incorporates endogenous agitation reduction (EAR) dynamics is presented and validated using data from 37 critical care patients. High median relative average normalised density (RAND) values of 0.77 and 0.78 support and minimum RAND values of 0.51 and 0.55 for models without and with EAR dynamics respectively show that both models are valid representations of the fundamental agitation–sedation dynamics present in a broad spectrum of intensive care unit (ICU) patients. While the addition of the EAR dynamic increases the ability of the model to capture the observed dynamics of the agitation–sedation system, the improvement is relatively small and the sensitivity of the model to the EAR dynamic is low. Although this may represent a limitation of the model, the inclusion of EAR is shown to be important for accurately capturing periods of low, or no, sedative infusion, such as during weaning prior to extubation.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>16298541</pmid><doi>10.1016/j.medengphy.2005.10.008</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agitation Biomedical Engineering Critical Care Dynamic modelling Humans Hypnotics and Sedatives - administration & dosage Hypnotics and Sedatives - pharmacokinetics Midazolam - administration & dosage Midazolam - pharmacokinetics Models, Biological Morphine - administration & dosage Morphine - pharmacokinetics Non-linear dynamics Nonlinear Dynamics Physiological models Psychomotor Agitation - drug therapy Psychomotor Agitation - physiopathology Sedation |
title | Physiological modelling of agitation–sedation dynamics including endogenous agitation reduction |
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