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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:American journal of respiratory and critical care medicine 2017-01, Vol.195
Hauptverfasser: 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
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title American journal of respiratory and critical care medicine
container_volume 195
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.
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_1926867725</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1926867725</sourcerecordid><originalsourceid>FETCH-proquest_journals_19268677253</originalsourceid><addsrcrecordid>eNqNjd1qwkAQhUNpofbnHQZ6LeTHGPVuSaNd0CQkofROljjqitlNdzYU37UP0xUKve3VOcN3-ObGGwVxFI8n88S_dd1PovFkMv-49x6ITr4fhLPAH3nfLPBjSCve8JStIWVVtgC-KavinecrcLnKi_oKG17kwPO_LV-v86yuF9AcESphpYZiDxsUNBjcQaOhdClb645Ud_1ZCtXiAhjk-AWlMKJDiwaW2gAjQiKpDsC7XkjTobLAlbO1R6FkS8DUzvn0QWmSdEWsHaz7i9RLI6w2F3iVZI3TQH1RO6M7fPLu9uJM-Pybj97LMmvSt3Fv9OeAZLcnPRjl0DaYh9PZNEnCOPrf6gcnAWxQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1926867725</pqid></control><display><type>article</type><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><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Journals@Ovid Complete</source><source>American Thoracic Society (ATS) Journals Online</source><source>Alma/SFX Local Collection</source><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</creator><creatorcontrib>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</creatorcontrib><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.</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). 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><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 &amp; Allied Health Database</collection><collection>Health &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing &amp; 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>
fulltext fulltext
identifier ISSN: 1073-449X
ispartof American journal of respiratory and critical care medicine, 2017-01, Vol.195
issn 1073-449X
1535-4970
language eng
recordid cdi_proquest_journals_1926867725
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Journals@Ovid Complete; American Thoracic Society (ATS) Journals Online; Alma/SFX Local Collection
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T20%3A47%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A105%20CRITICAL%20CARE:%20IMPROVING%20PROGNOSTICATION%20IN%20CRITICAL%20ILLNESS:%20The%20Ratio%20Of%20Measured%20To%20Predicted%20Compliance:%20A%20New%20Parameter%20For%20Assessing%20Impairment%20In%20Mechanics%20And%20Prognosis%20In%20Acute%20Respiratory%20Distress%20Syndrome&rft.jtitle=American%20journal%20of%20respiratory%20and%20critical%20care%20medicine&rft.au=Chen,%20L&rft.date=2017-01-01&rft.volume=195&rft.issn=1073-449X&rft.eissn=1535-4970&rft_id=info:doi/&rft_dat=%3Cproquest%3E1926867725%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1926867725&rft_id=info:pmid/&rfr_iscdi=true