A105 CRITICAL CARE: IMPROVING PROGNOSTICATION IN CRITICAL ILLNESS: The Ratio Of Measured To Predicted Compliance: A New Parameter For Assessing Impairment In Mechanics And Prognosis In Acute Respiratory Distress Syndrome
D'Angelo[1] found that compliances were predictable through vital capacity (VC). Since VC can be predicted in healthy subjects[2], we derived data from D'Angelo's study and calculated the predicted Crs, Cl, and Ccw as being 1.6%, 2.9%, and 3.6% of predicted VC (ml) per cmH2O, respecti...
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Veröffentlicht in: | American journal of respiratory and critical care medicine 2017-01, Vol.195 |
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creator | Chen, L Chen, G-Q Grieco, D Sklar, M C Shklar, O Greco, P Every, H Friedrich, J O Xu, M Zhou, J-X Brochard, L J |
description | D'Angelo[1] found that compliances were predictable through vital capacity (VC). Since VC can be predicted in healthy subjects[2], we derived data from D'Angelo's study and calculated the predicted Crs, Cl, and Ccw as being 1.6%, 2.9%, and 3.6% of predicted VC (ml) per cmH2O, respectively. ARDS is characterized by lung volume loss[3]. Because aerated lung volume is proportional to the measured Crs or Cl, we propose using the ratio of measured to predicted C or C (C_ _ /C _ ., C. _ /C. .) to assess the severity of lung volume loss. |
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Since VC can be predicted in healthy subjects[2], we derived data from D'Angelo's study and calculated the predicted Crs, Cl, and Ccw as being 1.6%, 2.9%, and 3.6% of predicted VC (ml) per cmH2O, respectively. ARDS is characterized by lung volume loss[3]. Because aerated lung volume is proportional to the measured Crs or Cl, we propose using the ratio of measured to predicted C or C (C_ _ /C _ ., C. _ /C. .) to assess the severity of lung volume loss.</description><identifier>ISSN: 1073-449X</identifier><identifier>EISSN: 1535-4970</identifier><language>eng</language><publisher>New York: American Thoracic Society</publisher><subject>Mechanics ; Medical prognosis ; Patients ; Respiratory therapy</subject><ispartof>American journal of respiratory and critical care medicine, 2017-01, Vol.195</ispartof><rights>Copyright American Thoracic Society 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785</link.rule.ids></links><search><creatorcontrib>Chen, L</creatorcontrib><creatorcontrib>Chen, G-Q</creatorcontrib><creatorcontrib>Grieco, D</creatorcontrib><creatorcontrib>Sklar, M C</creatorcontrib><creatorcontrib>Shklar, O</creatorcontrib><creatorcontrib>Greco, P</creatorcontrib><creatorcontrib>Every, H</creatorcontrib><creatorcontrib>Friedrich, J O</creatorcontrib><creatorcontrib>Xu, M</creatorcontrib><creatorcontrib>Zhou, J-X</creatorcontrib><creatorcontrib>Brochard, L J</creatorcontrib><title>A105 CRITICAL CARE: IMPROVING PROGNOSTICATION IN CRITICAL ILLNESS: The Ratio Of Measured To Predicted Compliance: A New Parameter For Assessing Impairment In Mechanics And Prognosis In Acute Respiratory Distress Syndrome</title><title>American journal of respiratory and critical care medicine</title><description>D'Angelo[1] found that compliances were predictable through vital capacity (VC). 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Because aerated lung volume is proportional to the measured Crs or Cl, we propose using the ratio of measured to predicted C or C (C_ _ /C _ ., C. _ /C. .) to assess the severity of lung volume loss.</description><subject>Mechanics</subject><subject>Medical prognosis</subject><subject>Patients</subject><subject>Respiratory therapy</subject><issn>1073-449X</issn><issn>1535-4970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNjd1qwkAQhUNpofbnHQZ6LeTHGPVuSaNd0CQkofROljjqitlNdzYU37UP0xUKve3VOcN3-ObGGwVxFI8n88S_dd1PovFkMv-49x6ITr4fhLPAH3nfLPBjSCve8JStIWVVtgC-KavinecrcLnKi_oKG17kwPO_LV-v86yuF9AcESphpYZiDxsUNBjcQaOhdClb645Ud_1ZCtXiAhjk-AWlMKJDiwaW2gAjQiKpDsC7XkjTobLAlbO1R6FkS8DUzvn0QWmSdEWsHaz7i9RLI6w2F3iVZI3TQH1RO6M7fPLu9uJM-Pybj97LMmvSt3Fv9OeAZLcnPRjl0DaYh9PZNEnCOPrf6gcnAWxQ</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Chen, L</creator><creator>Chen, G-Q</creator><creator>Grieco, D</creator><creator>Sklar, M C</creator><creator>Shklar, O</creator><creator>Greco, P</creator><creator>Every, H</creator><creator>Friedrich, J O</creator><creator>Xu, M</creator><creator>Zhou, J-X</creator><creator>Brochard, L J</creator><general>American Thoracic Society</general><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20170101</creationdate><title>A105 CRITICAL CARE: IMPROVING PROGNOSTICATION IN CRITICAL ILLNESS: The Ratio Of Measured To Predicted Compliance: A New Parameter For Assessing Impairment In Mechanics And Prognosis In Acute Respiratory Distress Syndrome</title><author>Chen, L ; Chen, G-Q ; Grieco, D ; Sklar, M C ; Shklar, O ; Greco, P ; Every, H ; Friedrich, J O ; Xu, M ; Zhou, J-X ; Brochard, L J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_19268677253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Mechanics</topic><topic>Medical prognosis</topic><topic>Patients</topic><topic>Respiratory therapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, L</creatorcontrib><creatorcontrib>Chen, G-Q</creatorcontrib><creatorcontrib>Grieco, D</creatorcontrib><creatorcontrib>Sklar, M C</creatorcontrib><creatorcontrib>Shklar, O</creatorcontrib><creatorcontrib>Greco, P</creatorcontrib><creatorcontrib>Every, H</creatorcontrib><creatorcontrib>Friedrich, J O</creatorcontrib><creatorcontrib>Xu, M</creatorcontrib><creatorcontrib>Zhou, J-X</creatorcontrib><creatorcontrib>Brochard, L J</creatorcontrib><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>ProQuest Pharma Collection</collection><collection>Public Health Database</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>British Nursing Database</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</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>Medical Database</collection><collection>Nursing & Allied Health Premium</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><jtitle>American journal of respiratory and critical care medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, L</au><au>Chen, G-Q</au><au>Grieco, D</au><au>Sklar, M C</au><au>Shklar, O</au><au>Greco, P</au><au>Every, H</au><au>Friedrich, J O</au><au>Xu, M</au><au>Zhou, J-X</au><au>Brochard, L J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A105 CRITICAL CARE: IMPROVING PROGNOSTICATION IN CRITICAL ILLNESS: The Ratio Of Measured To Predicted Compliance: A New Parameter For Assessing Impairment In Mechanics And Prognosis In Acute Respiratory Distress Syndrome</atitle><jtitle>American journal of respiratory and critical care medicine</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>195</volume><issn>1073-449X</issn><eissn>1535-4970</eissn><abstract>D'Angelo[1] found that compliances were predictable through vital capacity (VC). Since VC can be predicted in healthy subjects[2], we derived data from D'Angelo's study and calculated the predicted Crs, Cl, and Ccw as being 1.6%, 2.9%, and 3.6% of predicted VC (ml) per cmH2O, respectively. ARDS is characterized by lung volume loss[3]. Because aerated lung volume is proportional to the measured Crs or Cl, we propose using the ratio of measured to predicted C or C (C_ _ /C _ ., C. _ /C. .) to assess the severity of lung volume loss.</abstract><cop>New York</cop><pub>American Thoracic Society</pub></addata></record> |
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subjects | Mechanics Medical prognosis Patients Respiratory therapy |
title | A105 CRITICAL CARE: IMPROVING PROGNOSTICATION IN CRITICAL ILLNESS: The Ratio Of Measured To Predicted Compliance: A New Parameter For Assessing Impairment In Mechanics And Prognosis In Acute Respiratory Distress Syndrome |
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