Assessment of ventilation inhomogeneity during mechanical ventilation using a rapid-response oxygen sensor-based oxygen washout method
Purpose Ventilatory inhomogeneity indexes in critically ill mechanically ventilated patients could be of importance to optimize ventilator settings in order to reduce additional lung injury. The present study compared six inhomogeneity indexes calculated from the oxygen washout curves provided by th...
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Veröffentlicht in: | Intensive care medicine experimental 2014-12, Vol.2 (1), p.14-14, Article 14 |
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creator | Bikker, Ido G Holland, Wim Specht, Patricia Ince, Can Gommers, Diederik |
description | Purpose
Ventilatory inhomogeneity indexes in critically ill mechanically ventilated patients could be of importance to optimize ventilator settings in order to reduce additional lung injury. The present study compared six inhomogeneity indexes calculated from the oxygen washout curves provided by the rapid oxygen sensor of the LUFU end-expiratory lung volume measurement system.
Methods
Inhomogeneity was tested in a porcine model before and after induction of acute lung injury (ALI) at four different levels of positive end-expiratory pressure (PEEP; 15, 10, 5 and 0 cm H
2
O). The following indexes were assessed: lung clearance index (LCI), mixing ratio, Becklake index, multiple breath alveolar mixing inefficiency, moment ratio and pulmonary clearance delay.
Results
LCI, mixing ratio, Becklake index and moment ratio were comparable with previous reported values and showed acceptable variation coefficients at baseline with and without ALI. Moment ratio had the highest precision, as calculated by the variation coefficients. LCI, Becklake index and moment ratio showed comparable increases in inhomogeneity during decremental PEEP steps before and after ALI.
Conclusions
The advantage of the method we introduce is the combined measurement of end-expiratory lung volume (EELV) and inhomogeneity of lung ventilation with the LUFU fast-response medical-grade oxygen sensor, without the need for external tracer gases. This can be combined with conventional breathing systems. The moment ratio and LCI index appeared to be the most favourable for integration with oxygen washout curves as judged by high precision and agreement with previous reported findings. Studies are under way to evaluate the indexes in critically ill patients. |
doi_str_mv | 10.1186/2197-425X-2-14 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4512997</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3585682581</sourcerecordid><originalsourceid>FETCH-LOGICAL-c458t-6c5d963f1cfcccb6b2710a1f8346899bf5614d5d934f8be558b61a35bd1d9603</originalsourceid><addsrcrecordid>eNptkUFr3DAQhUVoSUKaa4_F0EsvTjSyJNuXQghtEwj0kkNvQpbltYItuRo77f6B_O7IbLJsSk8jZr55mscj5CPQC4BKXjKoy5wz8StnOfAjcrpvvDt4n5BzxAdKKVBRyJoekxMmmZQ10FPydIVoEUfr5yx02WOqbtCzCz5zvg9j2Fhv3bzN2iU6v8lGa3rtndHDG3bBdaizqCfX5tHiFDzaLPzdpv0MrccQ80ajbV97fzT2YZmT4NyH9gN53-kB7flLPSP337_dX9_kdz9_3F5f3eWGi2rOpRFtLYsOTGeMaWTDSqAauqrgsqrrphMSeJuYgndVY4WoGgm6EE0LaY8WZ-TrTnZamtG2JjmIelBTdKOOWxW0U28n3vVqEx4VF8DqukwCX14EYvi9WJzV6NDYYdDehgUVlJSnW1jJEvr5H_QhLNEndwqkYJWUtCwSdbGjTAyI0Xb7Y4CqNWS15qjWHBVTwNPCp0MLe_w10gRc7gCc1sRsPPj3_5LP5nG1tQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1652866073</pqid></control><display><type>article</type><title>Assessment of ventilation inhomogeneity during mechanical ventilation using a rapid-response oxygen sensor-based oxygen washout method</title><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central Open Access</source><source>Springer Nature OA Free Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>SpringerLink Journals - AutoHoldings</source><creator>Bikker, Ido G ; Holland, Wim ; Specht, Patricia ; Ince, Can ; Gommers, Diederik</creator><creatorcontrib>Bikker, Ido G ; Holland, Wim ; Specht, Patricia ; Ince, Can ; Gommers, Diederik</creatorcontrib><description>Purpose
Ventilatory inhomogeneity indexes in critically ill mechanically ventilated patients could be of importance to optimize ventilator settings in order to reduce additional lung injury. The present study compared six inhomogeneity indexes calculated from the oxygen washout curves provided by the rapid oxygen sensor of the LUFU end-expiratory lung volume measurement system.
Methods
Inhomogeneity was tested in a porcine model before and after induction of acute lung injury (ALI) at four different levels of positive end-expiratory pressure (PEEP; 15, 10, 5 and 0 cm H
2
O). The following indexes were assessed: lung clearance index (LCI), mixing ratio, Becklake index, multiple breath alveolar mixing inefficiency, moment ratio and pulmonary clearance delay.
Results
LCI, mixing ratio, Becklake index and moment ratio were comparable with previous reported values and showed acceptable variation coefficients at baseline with and without ALI. Moment ratio had the highest precision, as calculated by the variation coefficients. LCI, Becklake index and moment ratio showed comparable increases in inhomogeneity during decremental PEEP steps before and after ALI.
Conclusions
The advantage of the method we introduce is the combined measurement of end-expiratory lung volume (EELV) and inhomogeneity of lung ventilation with the LUFU fast-response medical-grade oxygen sensor, without the need for external tracer gases. This can be combined with conventional breathing systems. The moment ratio and LCI index appeared to be the most favourable for integration with oxygen washout curves as judged by high precision and agreement with previous reported findings. Studies are under way to evaluate the indexes in critically ill patients.</description><identifier>ISSN: 2197-425X</identifier><identifier>EISSN: 2197-425X</identifier><identifier>DOI: 10.1186/2197-425X-2-14</identifier><identifier>PMID: 26266910</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Critical Care Medicine ; Intensive ; Medicine ; Medicine & Public Health ; Methodology</subject><ispartof>Intensive care medicine experimental, 2014-12, Vol.2 (1), p.14-14, Article 14</ispartof><rights>Bikker et al.; licensee Springer. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.</rights><rights>The Author(s) 2014</rights><rights>Bikker et al.; licensee Springer. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-6c5d963f1cfcccb6b2710a1f8346899bf5614d5d934f8be558b61a35bd1d9603</citedby><cites>FETCH-LOGICAL-c458t-6c5d963f1cfcccb6b2710a1f8346899bf5614d5d934f8be558b61a35bd1d9603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512997/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512997/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,41488,42189,42557,51319,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26266910$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bikker, Ido G</creatorcontrib><creatorcontrib>Holland, Wim</creatorcontrib><creatorcontrib>Specht, Patricia</creatorcontrib><creatorcontrib>Ince, Can</creatorcontrib><creatorcontrib>Gommers, Diederik</creatorcontrib><title>Assessment of ventilation inhomogeneity during mechanical ventilation using a rapid-response oxygen sensor-based oxygen washout method</title><title>Intensive care medicine experimental</title><addtitle>ICMx</addtitle><addtitle>Intensive Care Med Exp</addtitle><description>Purpose
Ventilatory inhomogeneity indexes in critically ill mechanically ventilated patients could be of importance to optimize ventilator settings in order to reduce additional lung injury. The present study compared six inhomogeneity indexes calculated from the oxygen washout curves provided by the rapid oxygen sensor of the LUFU end-expiratory lung volume measurement system.
Methods
Inhomogeneity was tested in a porcine model before and after induction of acute lung injury (ALI) at four different levels of positive end-expiratory pressure (PEEP; 15, 10, 5 and 0 cm H
2
O). The following indexes were assessed: lung clearance index (LCI), mixing ratio, Becklake index, multiple breath alveolar mixing inefficiency, moment ratio and pulmonary clearance delay.
Results
LCI, mixing ratio, Becklake index and moment ratio were comparable with previous reported values and showed acceptable variation coefficients at baseline with and without ALI. Moment ratio had the highest precision, as calculated by the variation coefficients. LCI, Becklake index and moment ratio showed comparable increases in inhomogeneity during decremental PEEP steps before and after ALI.
Conclusions
The advantage of the method we introduce is the combined measurement of end-expiratory lung volume (EELV) and inhomogeneity of lung ventilation with the LUFU fast-response medical-grade oxygen sensor, without the need for external tracer gases. This can be combined with conventional breathing systems. The moment ratio and LCI index appeared to be the most favourable for integration with oxygen washout curves as judged by high precision and agreement with previous reported findings. Studies are under way to evaluate the indexes in critically ill patients.</description><subject>Critical Care Medicine</subject><subject>Intensive</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Methodology</subject><issn>2197-425X</issn><issn>2197-425X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkUFr3DAQhUVoSUKaa4_F0EsvTjSyJNuXQghtEwj0kkNvQpbltYItuRo77f6B_O7IbLJsSk8jZr55mscj5CPQC4BKXjKoy5wz8StnOfAjcrpvvDt4n5BzxAdKKVBRyJoekxMmmZQ10FPydIVoEUfr5yx02WOqbtCzCz5zvg9j2Fhv3bzN2iU6v8lGa3rtndHDG3bBdaizqCfX5tHiFDzaLPzdpv0MrccQ80ajbV97fzT2YZmT4NyH9gN53-kB7flLPSP337_dX9_kdz9_3F5f3eWGi2rOpRFtLYsOTGeMaWTDSqAauqrgsqrrphMSeJuYgndVY4WoGgm6EE0LaY8WZ-TrTnZamtG2JjmIelBTdKOOWxW0U28n3vVqEx4VF8DqukwCX14EYvi9WJzV6NDYYdDehgUVlJSnW1jJEvr5H_QhLNEndwqkYJWUtCwSdbGjTAyI0Xb7Y4CqNWS15qjWHBVTwNPCp0MLe_w10gRc7gCc1sRsPPj3_5LP5nG1tQ</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Bikker, Ido G</creator><creator>Holland, Wim</creator><creator>Specht, Patricia</creator><creator>Ince, Can</creator><creator>Gommers, Diederik</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20141201</creationdate><title>Assessment of ventilation inhomogeneity during mechanical ventilation using a rapid-response oxygen sensor-based oxygen washout method</title><author>Bikker, Ido G ; Holland, Wim ; Specht, Patricia ; Ince, Can ; Gommers, Diederik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c458t-6c5d963f1cfcccb6b2710a1f8346899bf5614d5d934f8be558b61a35bd1d9603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Critical Care Medicine</topic><topic>Intensive</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Methodology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bikker, Ido G</creatorcontrib><creatorcontrib>Holland, Wim</creatorcontrib><creatorcontrib>Specht, Patricia</creatorcontrib><creatorcontrib>Ince, Can</creatorcontrib><creatorcontrib>Gommers, Diederik</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Intensive care medicine experimental</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bikker, Ido G</au><au>Holland, Wim</au><au>Specht, Patricia</au><au>Ince, Can</au><au>Gommers, Diederik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of ventilation inhomogeneity during mechanical ventilation using a rapid-response oxygen sensor-based oxygen washout method</atitle><jtitle>Intensive care medicine experimental</jtitle><stitle>ICMx</stitle><addtitle>Intensive Care Med Exp</addtitle><date>2014-12-01</date><risdate>2014</risdate><volume>2</volume><issue>1</issue><spage>14</spage><epage>14</epage><pages>14-14</pages><artnum>14</artnum><issn>2197-425X</issn><eissn>2197-425X</eissn><abstract>Purpose
Ventilatory inhomogeneity indexes in critically ill mechanically ventilated patients could be of importance to optimize ventilator settings in order to reduce additional lung injury. The present study compared six inhomogeneity indexes calculated from the oxygen washout curves provided by the rapid oxygen sensor of the LUFU end-expiratory lung volume measurement system.
Methods
Inhomogeneity was tested in a porcine model before and after induction of acute lung injury (ALI) at four different levels of positive end-expiratory pressure (PEEP; 15, 10, 5 and 0 cm H
2
O). The following indexes were assessed: lung clearance index (LCI), mixing ratio, Becklake index, multiple breath alveolar mixing inefficiency, moment ratio and pulmonary clearance delay.
Results
LCI, mixing ratio, Becklake index and moment ratio were comparable with previous reported values and showed acceptable variation coefficients at baseline with and without ALI. Moment ratio had the highest precision, as calculated by the variation coefficients. LCI, Becklake index and moment ratio showed comparable increases in inhomogeneity during decremental PEEP steps before and after ALI.
Conclusions
The advantage of the method we introduce is the combined measurement of end-expiratory lung volume (EELV) and inhomogeneity of lung ventilation with the LUFU fast-response medical-grade oxygen sensor, without the need for external tracer gases. This can be combined with conventional breathing systems. The moment ratio and LCI index appeared to be the most favourable for integration with oxygen washout curves as judged by high precision and agreement with previous reported findings. Studies are under way to evaluate the indexes in critically ill patients.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>26266910</pmid><doi>10.1186/2197-425X-2-14</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Critical Care Medicine Intensive Medicine Medicine & Public Health Methodology |
title | Assessment of ventilation inhomogeneity during mechanical ventilation using a rapid-response oxygen sensor-based oxygen washout method |
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