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The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing
Background Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algor...
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Published in: | Critical care (London, England) England), 2022-06, Vol.26 (1), p.1-188, Article 188 |
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creator | Brault, Clement Mancebo, Jordi Suarez Montero, Juan-Carlos Bentall, Tracey Burns, Karen E. A Piraino, Thomas Lellouche, François Bouchard, Pierre-Alexandre Charbonney, Emmanuel Carteaux, Guillaume Maraffi, Tommaso Beduneau, Gaëtan Mercat, Alain Skrobik, Yoanna Zuo, Fei Lafreniere-Roula, Myriam Thorpe, Kevin Brochard, Laurent Bosma, Karen J |
description | Background Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algorithm to screen potential trial participants for enrollment and subsequent randomization in the Proportional Assist Ventilation for Minimizing the Duration of MV (PROMIZING) study. Methods The algorithm included five steps: enrollment criteria, pressure support ventilation (PSV) tolerance trial, weaning criteria, continuous positive airway pressure (CPAP) tolerance trial (0 cmH.sub.2O during 2 min) and spontaneous breathing trial (SBT): on fraction of inspired oxygen (F.sub.iO.sub.2) 40% for 30-120 min. Patients who failed the weaning criteria, CPAP Zero trial, or SBT were randomized. We describe the characteristics of patients who were initially enrolled, but passed all steps in the algorithm and consequently were not randomized. Results Among the 374 enrolled patients, 93 (25%) patients passed all five steps. At time of enrollment, most patients were on PSV (87%) with a mean ([+ or -] standard deviation) F.sub.iO.sub.2 of 34 ([+ or -] 6) %, PSV of 8.7 ([+ or -] 2.9) cmH.sub.2O, and positive end-expiratory pressure of 6.1 ([+ or -] 1.6) cmH.sub.2O. Minute ventilation was 9.0 ([+ or -] 3.1) L/min with a respiratory rate of 17.4 ([+ or -] 4.4) breaths/min. Patients were liberated from MV with a median [interquartile range] delay between initial screening and extubation of 5 [1-49] hours. Only 7 (8%) patients required reintubation. Conclusion The trial algorithm permitted identification of 93 (25%) patients who were ready to extubate, while their clinicians predicted a duration of ventilation higher than 24 h. Keywords: Ventilator weaning, Extubation, Mechanical ventilation, Respiratory mechanics, Critical care |
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A ; Piraino, Thomas ; Lellouche, François ; Bouchard, Pierre-Alexandre ; Charbonney, Emmanuel ; Carteaux, Guillaume ; Maraffi, Tommaso ; Beduneau, Gaëtan ; Mercat, Alain ; Skrobik, Yoanna ; Zuo, Fei ; Lafreniere-Roula, Myriam ; Thorpe, Kevin ; Brochard, Laurent ; Bosma, Karen J</creator><creatorcontrib>Brault, Clement ; Mancebo, Jordi ; Suarez Montero, Juan-Carlos ; Bentall, Tracey ; Burns, Karen E. A ; Piraino, Thomas ; Lellouche, François ; Bouchard, Pierre-Alexandre ; Charbonney, Emmanuel ; Carteaux, Guillaume ; Maraffi, Tommaso ; Beduneau, Gaëtan ; Mercat, Alain ; Skrobik, Yoanna ; Zuo, Fei ; Lafreniere-Roula, Myriam ; Thorpe, Kevin ; Brochard, Laurent ; Bosma, Karen J</creatorcontrib><description>Background Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algorithm to screen potential trial participants for enrollment and subsequent randomization in the Proportional Assist Ventilation for Minimizing the Duration of MV (PROMIZING) study. Methods The algorithm included five steps: enrollment criteria, pressure support ventilation (PSV) tolerance trial, weaning criteria, continuous positive airway pressure (CPAP) tolerance trial (0 cmH.sub.2O during 2 min) and spontaneous breathing trial (SBT): on fraction of inspired oxygen (F.sub.iO.sub.2) 40% for 30-120 min. Patients who failed the weaning criteria, CPAP Zero trial, or SBT were randomized. We describe the characteristics of patients who were initially enrolled, but passed all steps in the algorithm and consequently were not randomized. Results Among the 374 enrolled patients, 93 (25%) patients passed all five steps. At time of enrollment, most patients were on PSV (87%) with a mean ([+ or -] standard deviation) F.sub.iO.sub.2 of 34 ([+ or -] 6) %, PSV of 8.7 ([+ or -] 2.9) cmH.sub.2O, and positive end-expiratory pressure of 6.1 ([+ or -] 1.6) cmH.sub.2O. Minute ventilation was 9.0 ([+ or -] 3.1) L/min with a respiratory rate of 17.4 ([+ or -] 4.4) breaths/min. Patients were liberated from MV with a median [interquartile range] delay between initial screening and extubation of 5 [1-49] hours. Only 7 (8%) patients required reintubation. Conclusion The trial algorithm permitted identification of 93 (25%) patients who were ready to extubate, while their clinicians predicted a duration of ventilation higher than 24 h. Keywords: Ventilator weaning, Extubation, Mechanical ventilation, Respiratory mechanics, Critical care</description><identifier>ISSN: 1364-8535</identifier><identifier>EISSN: 1364-8535</identifier><identifier>EISSN: 1366-609X</identifier><identifier>EISSN: 1466-609X</identifier><identifier>DOI: 10.1186/s13054-022-04063-4</identifier><identifier>PMID: 35739553</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Algorithms ; Care and treatment ; Clinical trials ; Consent ; Continuous positive airway pressure ; Critical care ; Critically ill ; Enrollments ; Extubation ; Mechanical ventilation ; Methods ; Patients ; Respiratory mechanics ; Testing ; Variance analysis ; Ventilator weaning ; Ventilators ; Weaning</subject><ispartof>Critical care (London, England), 2022-06, Vol.26 (1), p.1-188, Article 188</ispartof><rights>COPYRIGHT 2022 BioMed Central Ltd.</rights><rights>2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4554-638eda5f103bf29b9e4318ab506e5229bc3c291e564e047a2ff319d615f0f2bf3</citedby><cites>FETCH-LOGICAL-c4554-638eda5f103bf29b9e4318ab506e5229bc3c291e564e047a2ff319d615f0f2bf3</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/PMC9219177/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2691328158?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids></links><search><creatorcontrib>Brault, Clement</creatorcontrib><creatorcontrib>Mancebo, Jordi</creatorcontrib><creatorcontrib>Suarez Montero, Juan-Carlos</creatorcontrib><creatorcontrib>Bentall, Tracey</creatorcontrib><creatorcontrib>Burns, Karen E. A</creatorcontrib><creatorcontrib>Piraino, Thomas</creatorcontrib><creatorcontrib>Lellouche, François</creatorcontrib><creatorcontrib>Bouchard, Pierre-Alexandre</creatorcontrib><creatorcontrib>Charbonney, Emmanuel</creatorcontrib><creatorcontrib>Carteaux, Guillaume</creatorcontrib><creatorcontrib>Maraffi, Tommaso</creatorcontrib><creatorcontrib>Beduneau, Gaëtan</creatorcontrib><creatorcontrib>Mercat, Alain</creatorcontrib><creatorcontrib>Skrobik, Yoanna</creatorcontrib><creatorcontrib>Zuo, Fei</creatorcontrib><creatorcontrib>Lafreniere-Roula, Myriam</creatorcontrib><creatorcontrib>Thorpe, Kevin</creatorcontrib><creatorcontrib>Brochard, Laurent</creatorcontrib><creatorcontrib>Bosma, Karen J</creatorcontrib><title>The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing</title><title>Critical care (London, England)</title><description>Background Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algorithm to screen potential trial participants for enrollment and subsequent randomization in the Proportional Assist Ventilation for Minimizing the Duration of MV (PROMIZING) study. Methods The algorithm included five steps: enrollment criteria, pressure support ventilation (PSV) tolerance trial, weaning criteria, continuous positive airway pressure (CPAP) tolerance trial (0 cmH.sub.2O during 2 min) and spontaneous breathing trial (SBT): on fraction of inspired oxygen (F.sub.iO.sub.2) 40% for 30-120 min. Patients who failed the weaning criteria, CPAP Zero trial, or SBT were randomized. We describe the characteristics of patients who were initially enrolled, but passed all steps in the algorithm and consequently were not randomized. Results Among the 374 enrolled patients, 93 (25%) patients passed all five steps. At time of enrollment, most patients were on PSV (87%) with a mean ([+ or -] standard deviation) F.sub.iO.sub.2 of 34 ([+ or -] 6) %, PSV of 8.7 ([+ or -] 2.9) cmH.sub.2O, and positive end-expiratory pressure of 6.1 ([+ or -] 1.6) cmH.sub.2O. Minute ventilation was 9.0 ([+ or -] 3.1) L/min with a respiratory rate of 17.4 ([+ or -] 4.4) breaths/min. Patients were liberated from MV with a median [interquartile range] delay between initial screening and extubation of 5 [1-49] hours. Only 7 (8%) patients required reintubation. Conclusion The trial algorithm permitted identification of 93 (25%) patients who were ready to extubate, while their clinicians predicted a duration of ventilation higher than 24 h. Keywords: Ventilator weaning, Extubation, Mechanical ventilation, Respiratory mechanics, Critical care</description><subject>Algorithms</subject><subject>Care and treatment</subject><subject>Clinical trials</subject><subject>Consent</subject><subject>Continuous positive airway pressure</subject><subject>Critical care</subject><subject>Critically ill</subject><subject>Enrollments</subject><subject>Extubation</subject><subject>Mechanical ventilation</subject><subject>Methods</subject><subject>Patients</subject><subject>Respiratory mechanics</subject><subject>Testing</subject><subject>Variance analysis</subject><subject>Ventilator weaning</subject><subject>Ventilators</subject><subject>Weaning</subject><issn>1364-8535</issn><issn>1364-8535</issn><issn>1366-609X</issn><issn>1466-609X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptksFvFCEUxidGY2v1H_BE4sXLVB4MDFxMmqbWTao1pl68EIaBXTYMrDBrsv-97G6jrjEcePne937kI69pXgO-BBD8XQGKWddiQlrcYU7b7klzDpR3rWCUPf2rPmtelLLGGHrB6fPmjLKeSsboeRMeVhZ9-Xr_afF98fkWzdnrgGzMKYTJxhnpsEzZz6sJuZSR1TnskB9rxztv9OxTRMmhTa2qVlC2etwdrNuoS_FltiMaqjqvfFy-bJ45HYp99XhfNN8-3Dxcf2zv7m8X11d3relYDcSpsKNmDjAdHJGDtB0FoQeGuWWkCoYaIsEy3lnc9Zo4R0GOHJjDjgyOXjSLI3dMeq022U8671TSXh2ElJdK59mbYJXQPeMMtBlIRXEpOZaYjjC40VhMobLeH1mb7TDZKsY563ACPe1Ev1LL9FNJAhL6vgLePgJy-rG1ZVaTL8aGoKNN26IIFzWoBEmq9c0_1nXa5li_qrokUCKAiT-upa4BfHSpvmv2UHXVYwEdEf2edfkfVz2jnbxJ0Tpf9ZMBchwwOZWSrfudEbDa75s67puq-6YO-6Y6-gsiIMWo</recordid><startdate>20220623</startdate><enddate>20220623</enddate><creator>Brault, Clement</creator><creator>Mancebo, Jordi</creator><creator>Suarez Montero, Juan-Carlos</creator><creator>Bentall, Tracey</creator><creator>Burns, Karen E. A</creator><creator>Piraino, Thomas</creator><creator>Lellouche, François</creator><creator>Bouchard, Pierre-Alexandre</creator><creator>Charbonney, Emmanuel</creator><creator>Carteaux, Guillaume</creator><creator>Maraffi, Tommaso</creator><creator>Beduneau, Gaëtan</creator><creator>Mercat, Alain</creator><creator>Skrobik, Yoanna</creator><creator>Zuo, Fei</creator><creator>Lafreniere-Roula, Myriam</creator><creator>Thorpe, Kevin</creator><creator>Brochard, Laurent</creator><creator>Bosma, Karen J</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20220623</creationdate><title>The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing</title><author>Brault, Clement ; Mancebo, Jordi ; Suarez Montero, Juan-Carlos ; Bentall, Tracey ; Burns, Karen E. A ; Piraino, Thomas ; Lellouche, François ; Bouchard, Pierre-Alexandre ; Charbonney, Emmanuel ; Carteaux, Guillaume ; Maraffi, Tommaso ; Beduneau, Gaëtan ; Mercat, Alain ; Skrobik, Yoanna ; Zuo, Fei ; Lafreniere-Roula, Myriam ; Thorpe, Kevin ; Brochard, Laurent ; Bosma, Karen J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4554-638eda5f103bf29b9e4318ab506e5229bc3c291e564e047a2ff319d615f0f2bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Care and treatment</topic><topic>Clinical trials</topic><topic>Consent</topic><topic>Continuous positive airway pressure</topic><topic>Critical care</topic><topic>Critically ill</topic><topic>Enrollments</topic><topic>Extubation</topic><topic>Mechanical ventilation</topic><topic>Methods</topic><topic>Patients</topic><topic>Respiratory mechanics</topic><topic>Testing</topic><topic>Variance analysis</topic><topic>Ventilator weaning</topic><topic>Ventilators</topic><topic>Weaning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brault, Clement</creatorcontrib><creatorcontrib>Mancebo, Jordi</creatorcontrib><creatorcontrib>Suarez Montero, Juan-Carlos</creatorcontrib><creatorcontrib>Bentall, Tracey</creatorcontrib><creatorcontrib>Burns, Karen E. A</creatorcontrib><creatorcontrib>Piraino, Thomas</creatorcontrib><creatorcontrib>Lellouche, François</creatorcontrib><creatorcontrib>Bouchard, Pierre-Alexandre</creatorcontrib><creatorcontrib>Charbonney, Emmanuel</creatorcontrib><creatorcontrib>Carteaux, Guillaume</creatorcontrib><creatorcontrib>Maraffi, Tommaso</creatorcontrib><creatorcontrib>Beduneau, Gaëtan</creatorcontrib><creatorcontrib>Mercat, Alain</creatorcontrib><creatorcontrib>Skrobik, Yoanna</creatorcontrib><creatorcontrib>Zuo, Fei</creatorcontrib><creatorcontrib>Lafreniere-Roula, Myriam</creatorcontrib><creatorcontrib>Thorpe, Kevin</creatorcontrib><creatorcontrib>Brochard, Laurent</creatorcontrib><creatorcontrib>Bosma, Karen J</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content (ProQuest)</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><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Critical care (London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brault, Clement</au><au>Mancebo, Jordi</au><au>Suarez Montero, Juan-Carlos</au><au>Bentall, Tracey</au><au>Burns, Karen E. A</au><au>Piraino, Thomas</au><au>Lellouche, François</au><au>Bouchard, Pierre-Alexandre</au><au>Charbonney, Emmanuel</au><au>Carteaux, Guillaume</au><au>Maraffi, Tommaso</au><au>Beduneau, Gaëtan</au><au>Mercat, Alain</au><au>Skrobik, Yoanna</au><au>Zuo, Fei</au><au>Lafreniere-Roula, Myriam</au><au>Thorpe, Kevin</au><au>Brochard, Laurent</au><au>Bosma, Karen J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing</atitle><jtitle>Critical care (London, England)</jtitle><date>2022-06-23</date><risdate>2022</risdate><volume>26</volume><issue>1</issue><spage>1</spage><epage>188</epage><pages>1-188</pages><artnum>188</artnum><issn>1364-8535</issn><eissn>1364-8535</eissn><eissn>1366-609X</eissn><eissn>1466-609X</eissn><abstract>Background Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algorithm to screen potential trial participants for enrollment and subsequent randomization in the Proportional Assist Ventilation for Minimizing the Duration of MV (PROMIZING) study. Methods The algorithm included five steps: enrollment criteria, pressure support ventilation (PSV) tolerance trial, weaning criteria, continuous positive airway pressure (CPAP) tolerance trial (0 cmH.sub.2O during 2 min) and spontaneous breathing trial (SBT): on fraction of inspired oxygen (F.sub.iO.sub.2) 40% for 30-120 min. Patients who failed the weaning criteria, CPAP Zero trial, or SBT were randomized. We describe the characteristics of patients who were initially enrolled, but passed all steps in the algorithm and consequently were not randomized. Results Among the 374 enrolled patients, 93 (25%) patients passed all five steps. At time of enrollment, most patients were on PSV (87%) with a mean ([+ or -] standard deviation) F.sub.iO.sub.2 of 34 ([+ or -] 6) %, PSV of 8.7 ([+ or -] 2.9) cmH.sub.2O, and positive end-expiratory pressure of 6.1 ([+ or -] 1.6) cmH.sub.2O. Minute ventilation was 9.0 ([+ or -] 3.1) L/min with a respiratory rate of 17.4 ([+ or -] 4.4) breaths/min. Patients were liberated from MV with a median [interquartile range] delay between initial screening and extubation of 5 [1-49] hours. Only 7 (8%) patients required reintubation. Conclusion The trial algorithm permitted identification of 93 (25%) patients who were ready to extubate, while their clinicians predicted a duration of ventilation higher than 24 h. Keywords: Ventilator weaning, Extubation, Mechanical ventilation, Respiratory mechanics, Critical care</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><pmid>35739553</pmid><doi>10.1186/s13054-022-04063-4</doi><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Care and treatment Clinical trials Consent Continuous positive airway pressure Critical care Critically ill Enrollments Extubation Mechanical ventilation Methods Patients Respiratory mechanics Testing Variance analysis Ventilator weaning Ventilators Weaning |
title | The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing |
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