Prediction of outcome in patients with ARDS: A prospective cohort study comparing ARDS-definitions and other ARDS-associated parameters, ratios and scores at intubation and over time
Early recognition of high-risk-patients with acute respiratory distress syndrome (ARDS) might improve their outcome by less protracted allocation to intensified therapy including extracorporeal membrane oxygenation (ECMO). Among numerous predictors and classifications, the American European Consensu...
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description | Early recognition of high-risk-patients with acute respiratory distress syndrome (ARDS) might improve their outcome by less protracted allocation to intensified therapy including extracorporeal membrane oxygenation (ECMO). Among numerous predictors and classifications, the American European Consensus Conferenece (AECC)- and Berlin-definitions as well as the oxygenation index (OI) and the Murray-/Lung Injury Score are the most common. Most studies compared the prediction of mortality by these parameters on the day of intubation and/or diagnosis of ARDS. However, only few studies investigated prediction over time, in particular for more than three days.
Therefore, our study aimed at characterization of the best predictor and the best day(s) to predict 28-days-mortality within four days after intubation of patients with ARDS.
In 100 consecutive patients with ARDS severity according to OI (mean airway pressure*FiO2/paO2), modified Murray-score without radiological points (Murray_mod), AECC- and Berlin-definition, were daily documented for four days after intubation. In the subgroup of 49 patients with transpulmonary thermodilution (TPTD) monitoring (PiCCO), extravascular lung water index (EVLWI) was measured daily.
Prediction of 28-days-mortality (Area under the receiver-operating-characteristic curve (ROC-AUC)); IBM SPSS 26.
In the totality of patients the best prediction of 28-days-mortality was found on day-1 and day-2 (mean ROC-AUCs for all predictors/scores: 0.632 and 0.620). OI was the best predictor among the ARDS-scores (AUC=0.689 on day-1; 4-day-mean AUC = 0.625). AECC and Murray_mod had 4-day-means AUCs below 0.6. Among the 49 patients with TPTD, EVLWI (4-day-mean AUC=0.696) and OI (4-day-mean AUC=0.695) were the best predictors. AUCs were 0.789 for OI on day-1, and 0.786 for EVLWI on day-2. In binary regression analysis of patients with TPTD, EVLWI (B=-0.105; Wald=7.294; p=0.007) and OI (B=0.124; Wald=7.435; p=0.006) were independently associated with 28-days-mortality. Combining of EVLWI and OI provided ROC-AUCs of 0.801 (day-1) and 0.824 (day-2). Among the totality of patients, the use of TPTD-monitoring "per se" and a lower SOFA-score were independently associated with a lower 28-days-mortality.
Prognosis of ARDS-patients can be estblished within two days after intubation. The best predictors were EVLWI and OI and their combination. TPTD-monitoring "per se" was independently associated with reduced mortality. |
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Therefore, our study aimed at characterization of the best predictor and the best day(s) to predict 28-days-mortality within four days after intubation of patients with ARDS.
In 100 consecutive patients with ARDS severity according to OI (mean airway pressure*FiO2/paO2), modified Murray-score without radiological points (Murray_mod), AECC- and Berlin-definition, were daily documented for four days after intubation. In the subgroup of 49 patients with transpulmonary thermodilution (TPTD) monitoring (PiCCO), extravascular lung water index (EVLWI) was measured daily.
Prediction of 28-days-mortality (Area under the receiver-operating-characteristic curve (ROC-AUC)); IBM SPSS 26.
In the totality of patients the best prediction of 28-days-mortality was found on day-1 and day-2 (mean ROC-AUCs for all predictors/scores: 0.632 and 0.620). OI was the best predictor among the ARDS-scores (AUC=0.689 on day-1; 4-day-mean AUC = 0.625). AECC and Murray_mod had 4-day-means AUCs below 0.6. Among the 49 patients with TPTD, EVLWI (4-day-mean AUC=0.696) and OI (4-day-mean AUC=0.695) were the best predictors. AUCs were 0.789 for OI on day-1, and 0.786 for EVLWI on day-2. In binary regression analysis of patients with TPTD, EVLWI (B=-0.105; Wald=7.294; p=0.007) and OI (B=0.124; Wald=7.435; p=0.006) were independently associated with 28-days-mortality. Combining of EVLWI and OI provided ROC-AUCs of 0.801 (day-1) and 0.824 (day-2). Among the totality of patients, the use of TPTD-monitoring "per se" and a lower SOFA-score were independently associated with a lower 28-days-mortality.
Prognosis of ARDS-patients can be estblished within two days after intubation. The best predictors were EVLWI and OI and their combination. TPTD-monitoring "per se" was independently associated with reduced mortality.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0232720</identifier><identifier>PMID: 32374755</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult respiratory distress syndrome ; Biology and Life Sciences ; Characterization ; Cohort analysis ; Diagnosis ; Environmental monitoring ; Intubation ; Lung diseases ; Lungs ; Medical prognosis ; Medicine and Health Sciences ; Monitoring ; Mortality ; Oxygenation ; Parameters ; Patients ; Physical Sciences ; Predictions ; Prognosis ; Regression analysis ; Research and Analysis Methods ; Respiratory distress syndrome ; Risk factors ; Risk groups ; Studies ; Subgroups ; Time</subject><ispartof>PloS one, 2020-05, Vol.15 (5), p.e0232720-e0232720</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Huber et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Huber et al 2020 Huber et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-9154c853fef782437cef48cdb8ab55fa1760e46d13189fefc1cf1ca01e8d91293</citedby><cites>FETCH-LOGICAL-c692t-9154c853fef782437cef48cdb8ab55fa1760e46d13189fefc1cf1ca01e8d91293</cites><orcidid>0000-0001-9086-7908</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202606/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202606/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32374755$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Karhausen, Jörn</contributor><creatorcontrib>Huber, Wolfgang</creatorcontrib><creatorcontrib>Findeisen, Michael</creatorcontrib><creatorcontrib>Lahmer, Tobias</creatorcontrib><creatorcontrib>Herner, Alexander</creatorcontrib><creatorcontrib>Rasch, Sebastian</creatorcontrib><creatorcontrib>Mayr, Ulrich</creatorcontrib><creatorcontrib>Hoppmann, Petra</creatorcontrib><creatorcontrib>Jaitner, Juliane</creatorcontrib><creatorcontrib>Okrojek, Rainer</creatorcontrib><creatorcontrib>Brettner, Franz</creatorcontrib><creatorcontrib>Schmid, Roland</creatorcontrib><creatorcontrib>Schmidle, Paul</creatorcontrib><title>Prediction of outcome in patients with ARDS: A prospective cohort study comparing ARDS-definitions and other ARDS-associated parameters, ratios and scores at intubation and over time</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Early recognition of high-risk-patients with acute respiratory distress syndrome (ARDS) might improve their outcome by less protracted allocation to intensified therapy including extracorporeal membrane oxygenation (ECMO). Among numerous predictors and classifications, the American European Consensus Conferenece (AECC)- and Berlin-definitions as well as the oxygenation index (OI) and the Murray-/Lung Injury Score are the most common. Most studies compared the prediction of mortality by these parameters on the day of intubation and/or diagnosis of ARDS. However, only few studies investigated prediction over time, in particular for more than three days.
Therefore, our study aimed at characterization of the best predictor and the best day(s) to predict 28-days-mortality within four days after intubation of patients with ARDS.
In 100 consecutive patients with ARDS severity according to OI (mean airway pressure*FiO2/paO2), modified Murray-score without radiological points (Murray_mod), AECC- and Berlin-definition, were daily documented for four days after intubation. In the subgroup of 49 patients with transpulmonary thermodilution (TPTD) monitoring (PiCCO), extravascular lung water index (EVLWI) was measured daily.
Prediction of 28-days-mortality (Area under the receiver-operating-characteristic curve (ROC-AUC)); IBM SPSS 26.
In the totality of patients the best prediction of 28-days-mortality was found on day-1 and day-2 (mean ROC-AUCs for all predictors/scores: 0.632 and 0.620). OI was the best predictor among the ARDS-scores (AUC=0.689 on day-1; 4-day-mean AUC = 0.625). AECC and Murray_mod had 4-day-means AUCs below 0.6. Among the 49 patients with TPTD, EVLWI (4-day-mean AUC=0.696) and OI (4-day-mean AUC=0.695) were the best predictors. AUCs were 0.789 for OI on day-1, and 0.786 for EVLWI on day-2. In binary regression analysis of patients with TPTD, EVLWI (B=-0.105; Wald=7.294; p=0.007) and OI (B=0.124; Wald=7.435; p=0.006) were independently associated with 28-days-mortality. Combining of EVLWI and OI provided ROC-AUCs of 0.801 (day-1) and 0.824 (day-2). Among the totality of patients, the use of TPTD-monitoring "per se" and a lower SOFA-score were independently associated with a lower 28-days-mortality.
Prognosis of ARDS-patients can be estblished within two days after intubation. The best predictors were EVLWI and OI and their combination. TPTD-monitoring "per se" was independently associated with reduced mortality.</description><subject>Adult respiratory distress syndrome</subject><subject>Biology and Life Sciences</subject><subject>Characterization</subject><subject>Cohort analysis</subject><subject>Diagnosis</subject><subject>Environmental monitoring</subject><subject>Intubation</subject><subject>Lung diseases</subject><subject>Lungs</subject><subject>Medical prognosis</subject><subject>Medicine and Health Sciences</subject><subject>Monitoring</subject><subject>Mortality</subject><subject>Oxygenation</subject><subject>Parameters</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Predictions</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Respiratory distress syndrome</subject><subject>Risk factors</subject><subject>Risk 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prognosis</topic><topic>Medicine and Health Sciences</topic><topic>Monitoring</topic><topic>Mortality</topic><topic>Oxygenation</topic><topic>Parameters</topic><topic>Patients</topic><topic>Physical Sciences</topic><topic>Predictions</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Research and Analysis Methods</topic><topic>Respiratory distress syndrome</topic><topic>Risk factors</topic><topic>Risk groups</topic><topic>Studies</topic><topic>Subgroups</topic><topic>Time</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huber, Wolfgang</creatorcontrib><creatorcontrib>Findeisen, Michael</creatorcontrib><creatorcontrib>Lahmer, Tobias</creatorcontrib><creatorcontrib>Herner, Alexander</creatorcontrib><creatorcontrib>Rasch, Sebastian</creatorcontrib><creatorcontrib>Mayr, Ulrich</creatorcontrib><creatorcontrib>Hoppmann, Petra</creatorcontrib><creatorcontrib>Jaitner, Juliane</creatorcontrib><creatorcontrib>Okrojek, 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Alexander</au><au>Rasch, Sebastian</au><au>Mayr, Ulrich</au><au>Hoppmann, Petra</au><au>Jaitner, Juliane</au><au>Okrojek, Rainer</au><au>Brettner, Franz</au><au>Schmid, Roland</au><au>Schmidle, Paul</au><au>Karhausen, Jörn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of outcome in patients with ARDS: A prospective cohort study comparing ARDS-definitions and other ARDS-associated parameters, ratios and scores at intubation and over time</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-05-06</date><risdate>2020</risdate><volume>15</volume><issue>5</issue><spage>e0232720</spage><epage>e0232720</epage><pages>e0232720-e0232720</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Early recognition of high-risk-patients with acute respiratory distress syndrome (ARDS) might improve their outcome by less protracted allocation to intensified therapy including extracorporeal membrane oxygenation (ECMO). Among numerous predictors and classifications, the American European Consensus Conferenece (AECC)- and Berlin-definitions as well as the oxygenation index (OI) and the Murray-/Lung Injury Score are the most common. Most studies compared the prediction of mortality by these parameters on the day of intubation and/or diagnosis of ARDS. However, only few studies investigated prediction over time, in particular for more than three days.
Therefore, our study aimed at characterization of the best predictor and the best day(s) to predict 28-days-mortality within four days after intubation of patients with ARDS.
In 100 consecutive patients with ARDS severity according to OI (mean airway pressure*FiO2/paO2), modified Murray-score without radiological points (Murray_mod), AECC- and Berlin-definition, were daily documented for four days after intubation. In the subgroup of 49 patients with transpulmonary thermodilution (TPTD) monitoring (PiCCO), extravascular lung water index (EVLWI) was measured daily.
Prediction of 28-days-mortality (Area under the receiver-operating-characteristic curve (ROC-AUC)); IBM SPSS 26.
In the totality of patients the best prediction of 28-days-mortality was found on day-1 and day-2 (mean ROC-AUCs for all predictors/scores: 0.632 and 0.620). OI was the best predictor among the ARDS-scores (AUC=0.689 on day-1; 4-day-mean AUC = 0.625). AECC and Murray_mod had 4-day-means AUCs below 0.6. Among the 49 patients with TPTD, EVLWI (4-day-mean AUC=0.696) and OI (4-day-mean AUC=0.695) were the best predictors. AUCs were 0.789 for OI on day-1, and 0.786 for EVLWI on day-2. In binary regression analysis of patients with TPTD, EVLWI (B=-0.105; Wald=7.294; p=0.007) and OI (B=0.124; Wald=7.435; p=0.006) were independently associated with 28-days-mortality. Combining of EVLWI and OI provided ROC-AUCs of 0.801 (day-1) and 0.824 (day-2). Among the totality of patients, the use of TPTD-monitoring "per se" and a lower SOFA-score were independently associated with a lower 28-days-mortality.
Prognosis of ARDS-patients can be estblished within two days after intubation. The best predictors were EVLWI and OI and their combination. TPTD-monitoring "per se" was independently associated with reduced mortality.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32374755</pmid><doi>10.1371/journal.pone.0232720</doi><tpages>e0232720</tpages><orcidid>https://orcid.org/0000-0001-9086-7908</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2020-05, Vol.15 (5), p.e0232720-e0232720 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2399252418 |
source | Public Library of Science (PLoS) Journals Open Access; Directory of Open Access Journals(OpenAccess); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adult respiratory distress syndrome Biology and Life Sciences Characterization Cohort analysis Diagnosis Environmental monitoring Intubation Lung diseases Lungs Medical prognosis Medicine and Health Sciences Monitoring Mortality Oxygenation Parameters Patients Physical Sciences Predictions Prognosis Regression analysis Research and Analysis Methods Respiratory distress syndrome Risk factors Risk groups Studies Subgroups Time |
title | Prediction of outcome in patients with ARDS: A prospective cohort study comparing ARDS-definitions and other ARDS-associated parameters, ratios and scores at intubation and over time |
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