EPISYNC study: predictors of patient-ventilator asynchrony in a prospective cohort of patients under invasive mechanical ventilation - study protocol
IntroductionPatient-ventilator asynchrony is common during the entire period of invasive mechanical ventilation (MV) and is associated with worse clinical outcomes. However, risk factors associated with asynchrony are not completely understood. The main objectives of this study are to estimate the i...
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description | IntroductionPatient-ventilator asynchrony is common during the entire period of invasive mechanical ventilation (MV) and is associated with worse clinical outcomes. However, risk factors associated with asynchrony are not completely understood. The main objectives of this study are to estimate the incidence of asynchrony during invasive MV and its association with respiratory mechanics and other baseline patient characteristics.Methods and analysisWe designed a prospective cohort study of patients admitted to the intensive care unit (ICU) of a university hospital. Inclusion criteria are adult patients under invasive MV initiated for less than 72 hours, and with expectation of remaining under MV for more than 24 hours. Exclusion criteria are high flow bronchopleural fistula, inability to measure respiratory mechanics and previous tracheostomy. Baseline assessment includes clinical characteristics of patients at ICU admission, including severity of illness, reason for initiation of MV, and measurement of static mechanics of the respiratory system. We will capture ventilator waveforms during the entire MV period that will be analysed with dedicated software (Better Care, Barcelona, Spain), which automatically identifies several types of asynchrony and calculates the asynchrony index (AI). We will use a linear regression model to identify risk factors associated with AI. To assess the relationship between survival and AI we will use Kaplan-Meier curves, log rank tests and Cox regression. The calculated sample size is 103 patients. The statistical analysis will be performed by the software R Programming (www.R-project.org) and will be considered statistically significant if the p value is less than 0.05.Ethics and disseminationThe study was approved by the Ethics Committee of Instituto do Coração, School of Medicine, University of São Paulo, Brazil, and informed consent was waived due to the observational nature of the study. We aim to disseminate the study findings through peer-reviewed publications and national and international conference presentations.Trial registration number NCT02687802; Pre-results. |
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However, risk factors associated with asynchrony are not completely understood. The main objectives of this study are to estimate the incidence of asynchrony during invasive MV and its association with respiratory mechanics and other baseline patient characteristics.Methods and analysisWe designed a prospective cohort study of patients admitted to the intensive care unit (ICU) of a university hospital. Inclusion criteria are adult patients under invasive MV initiated for less than 72 hours, and with expectation of remaining under MV for more than 24 hours. Exclusion criteria are high flow bronchopleural fistula, inability to measure respiratory mechanics and previous tracheostomy. Baseline assessment includes clinical characteristics of patients at ICU admission, including severity of illness, reason for initiation of MV, and measurement of static mechanics of the respiratory system. We will capture ventilator waveforms during the entire MV period that will be analysed with dedicated software (Better Care, Barcelona, Spain), which automatically identifies several types of asynchrony and calculates the asynchrony index (AI). We will use a linear regression model to identify risk factors associated with AI. To assess the relationship between survival and AI we will use Kaplan-Meier curves, log rank tests and Cox regression. The calculated sample size is 103 patients. The statistical analysis will be performed by the software R Programming (www.R-project.org) and will be considered statistically significant if the p value is less than 0.05.Ethics and disseminationThe study was approved by the Ethics Committee of Instituto do Coração, School of Medicine, University of São Paulo, Brazil, and informed consent was waived due to the observational nature of the study. We aim to disseminate the study findings through peer-reviewed publications and national and international conference presentations.Trial registration number NCT02687802; Pre-results.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2018-028601</identifier><identifier>PMID: 31123002</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Accuracy ; Airway Resistance ; Anesthesia ; Chronic obstructive pulmonary disease ; Clinical outcomes ; Cohort Studies ; Data collection ; Disease ; Dyspnea ; Epidemiology ; Hospitals ; Humans ; Incidence ; Intensive Care ; Intubation ; Kaplan-Meier Estimate ; Lung Compliance ; Mechanics ; Mortality ; Ostomy ; Patients ; Positive-Pressure Respiration, Intrinsic ; Proportional Hazards Models ; Prospective Studies ; Respiration, Artificial - methods ; Respiratory Mechanics ; Respiratory system ; Risk Factors ; Ventilators</subject><ispartof>BMJ open, 2019-05, Vol.9 (5), p.e028601-e028601</ispartof><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2019 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b472t-732cfdf2bcd25ceceab9f22550cb396afe93f0ff65c3a298b52891f61b572eae3</citedby><cites>FETCH-LOGICAL-b472t-732cfdf2bcd25ceceab9f22550cb396afe93f0ff65c3a298b52891f61b572eae3</cites><orcidid>0000-0003-4236-5107</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjopen.bmj.com/content/9/5/e028601.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjopen.bmj.com/content/9/5/e028601.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27526,27527,27901,27902,53766,53768,77343,77374</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31123002$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sousa, Mayson Laercio de Araujo</creatorcontrib><creatorcontrib>Magrans, Rudys</creatorcontrib><creatorcontrib>Hayashi, Fátima K</creatorcontrib><creatorcontrib>Blanch, Lluis</creatorcontrib><creatorcontrib>Kacmarek, R M</creatorcontrib><creatorcontrib>Ferreira, Juliana C</creatorcontrib><title>EPISYNC study: predictors of patient-ventilator asynchrony in a prospective cohort of patients under invasive mechanical ventilation - study protocol</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>IntroductionPatient-ventilator asynchrony is common during the entire period of invasive mechanical ventilation (MV) and is associated with worse clinical outcomes. However, risk factors associated with asynchrony are not completely understood. The main objectives of this study are to estimate the incidence of asynchrony during invasive MV and its association with respiratory mechanics and other baseline patient characteristics.Methods and analysisWe designed a prospective cohort study of patients admitted to the intensive care unit (ICU) of a university hospital. Inclusion criteria are adult patients under invasive MV initiated for less than 72 hours, and with expectation of remaining under MV for more than 24 hours. Exclusion criteria are high flow bronchopleural fistula, inability to measure respiratory mechanics and previous tracheostomy. Baseline assessment includes clinical characteristics of patients at ICU admission, including severity of illness, reason for initiation of MV, and measurement of static mechanics of the respiratory system. We will capture ventilator waveforms during the entire MV period that will be analysed with dedicated software (Better Care, Barcelona, Spain), which automatically identifies several types of asynchrony and calculates the asynchrony index (AI). We will use a linear regression model to identify risk factors associated with AI. To assess the relationship between survival and AI we will use Kaplan-Meier curves, log rank tests and Cox regression. The calculated sample size is 103 patients. The statistical analysis will be performed by the software R Programming (www.R-project.org) and will be considered statistically significant if the p value is less than 0.05.Ethics and disseminationThe study was approved by the Ethics Committee of Instituto do Coração, School of Medicine, University of São Paulo, Brazil, and informed consent was waived due to the observational nature of the study. We aim to disseminate the study findings through peer-reviewed publications and national and international conference presentations.Trial registration number NCT02687802; Pre-results.</description><subject>Accuracy</subject><subject>Airway Resistance</subject><subject>Anesthesia</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Clinical outcomes</subject><subject>Cohort Studies</subject><subject>Data collection</subject><subject>Disease</subject><subject>Dyspnea</subject><subject>Epidemiology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Incidence</subject><subject>Intensive Care</subject><subject>Intubation</subject><subject>Kaplan-Meier Estimate</subject><subject>Lung Compliance</subject><subject>Mechanics</subject><subject>Mortality</subject><subject>Ostomy</subject><subject>Patients</subject><subject>Positive-Pressure Respiration, Intrinsic</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>Respiration, Artificial - methods</subject><subject>Respiratory Mechanics</subject><subject>Respiratory system</subject><subject>Risk Factors</subject><subject>Ventilators</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkdGK1DAUhoso7rLuEwgS8Mab7iYnk3bqhSDDqguLCuqFVyFNT5wMbVKTdGAexPc1pbPLuFfmIgnJ9_85J39RvGT0ijFeXbfDzo_oSqBsXVJYV5Q9Kc6BrlZlRYV4erI_Ky5j3NE8VqIRAp4XZ5wx4JTCefHn5uvtt5-fNySmqTu8JWPAzurkQyTekFEliy6V-zzZXuVjouLB6W3w7kCsIyoLfBxRJ7tHov3Wh3QijGRyHYZM7lWciQH1VjmrVU_uPa13pFyen82S175_UTwzqo94eVwvih8fbr5vPpV3Xz7ebt7fle2qhlTWHLTpDLS6A6FRo2obAyAE1S1vKmWw4YYaUwnNFTTrVsC6YaZiragBFfKL4t3iO07tgJ3OJQXVyzHYQYWD9MrKf2-c3cpffi8rweumhmzw5mgQ_O8JY5KDjRr7Xjn0U5QAHBhrKj6jrx-hOz8Fl9vLVC6urqmoM8UXSud_jQHNQzGMyjl5eUxezsnLJfmsenXax4PmPucMXC1AVv-X418GpL8o</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Sousa, Mayson Laercio de Araujo</creator><creator>Magrans, Rudys</creator><creator>Hayashi, Fátima K</creator><creator>Blanch, Lluis</creator><creator>Kacmarek, R M</creator><creator>Ferreira, Juliana C</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4236-5107</orcidid></search><sort><creationdate>20190501</creationdate><title>EPISYNC study: predictors of patient-ventilator asynchrony in a prospective cohort of patients under invasive mechanical ventilation - study protocol</title><author>Sousa, Mayson Laercio de Araujo ; Magrans, Rudys ; Hayashi, Fátima K ; Blanch, Lluis ; Kacmarek, R M ; Ferreira, Juliana C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b472t-732cfdf2bcd25ceceab9f22550cb396afe93f0ff65c3a298b52891f61b572eae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accuracy</topic><topic>Airway Resistance</topic><topic>Anesthesia</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Clinical outcomes</topic><topic>Cohort Studies</topic><topic>Data collection</topic><topic>Disease</topic><topic>Dyspnea</topic><topic>Epidemiology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Incidence</topic><topic>Intensive Care</topic><topic>Intubation</topic><topic>Kaplan-Meier Estimate</topic><topic>Lung Compliance</topic><topic>Mechanics</topic><topic>Mortality</topic><topic>Ostomy</topic><topic>Patients</topic><topic>Positive-Pressure Respiration, Intrinsic</topic><topic>Proportional Hazards Models</topic><topic>Prospective Studies</topic><topic>Respiration, Artificial - methods</topic><topic>Respiratory Mechanics</topic><topic>Respiratory system</topic><topic>Risk Factors</topic><topic>Ventilators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sousa, Mayson Laercio de Araujo</creatorcontrib><creatorcontrib>Magrans, Rudys</creatorcontrib><creatorcontrib>Hayashi, Fátima K</creatorcontrib><creatorcontrib>Blanch, Lluis</creatorcontrib><creatorcontrib>Kacmarek, R M</creatorcontrib><creatorcontrib>Ferreira, Juliana C</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</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>BMJ Journals</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 Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</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>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sousa, Mayson Laercio de Araujo</au><au>Magrans, Rudys</au><au>Hayashi, Fátima K</au><au>Blanch, Lluis</au><au>Kacmarek, R M</au><au>Ferreira, Juliana C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EPISYNC study: predictors of patient-ventilator asynchrony in a prospective cohort of patients under invasive mechanical ventilation - study protocol</atitle><jtitle>BMJ open</jtitle><addtitle>BMJ Open</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>9</volume><issue>5</issue><spage>e028601</spage><epage>e028601</epage><pages>e028601-e028601</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>IntroductionPatient-ventilator asynchrony is common during the entire period of invasive mechanical ventilation (MV) and is associated with worse clinical outcomes. However, risk factors associated with asynchrony are not completely understood. The main objectives of this study are to estimate the incidence of asynchrony during invasive MV and its association with respiratory mechanics and other baseline patient characteristics.Methods and analysisWe designed a prospective cohort study of patients admitted to the intensive care unit (ICU) of a university hospital. Inclusion criteria are adult patients under invasive MV initiated for less than 72 hours, and with expectation of remaining under MV for more than 24 hours. Exclusion criteria are high flow bronchopleural fistula, inability to measure respiratory mechanics and previous tracheostomy. Baseline assessment includes clinical characteristics of patients at ICU admission, including severity of illness, reason for initiation of MV, and measurement of static mechanics of the respiratory system. We will capture ventilator waveforms during the entire MV period that will be analysed with dedicated software (Better Care, Barcelona, Spain), which automatically identifies several types of asynchrony and calculates the asynchrony index (AI). We will use a linear regression model to identify risk factors associated with AI. To assess the relationship between survival and AI we will use Kaplan-Meier curves, log rank tests and Cox regression. The calculated sample size is 103 patients. The statistical analysis will be performed by the software R Programming (www.R-project.org) and will be considered statistically significant if the p value is less than 0.05.Ethics and disseminationThe study was approved by the Ethics Committee of Instituto do Coração, School of Medicine, University of São Paulo, Brazil, and informed consent was waived due to the observational nature of the study. We aim to disseminate the study findings through peer-reviewed publications and national and international conference presentations.Trial registration number NCT02687802; Pre-results.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>31123002</pmid><doi>10.1136/bmjopen-2018-028601</doi><orcidid>https://orcid.org/0000-0003-4236-5107</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Airway Resistance Anesthesia Chronic obstructive pulmonary disease Clinical outcomes Cohort Studies Data collection Disease Dyspnea Epidemiology Hospitals Humans Incidence Intensive Care Intubation Kaplan-Meier Estimate Lung Compliance Mechanics Mortality Ostomy Patients Positive-Pressure Respiration, Intrinsic Proportional Hazards Models Prospective Studies Respiration, Artificial - methods Respiratory Mechanics Respiratory system Risk Factors Ventilators |
title | EPISYNC study: predictors of patient-ventilator asynchrony in a prospective cohort of patients under invasive mechanical ventilation - study protocol |
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