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Outcomes and survival prediction models for severe adult acute respiratory distress syndrome treated with extracorporeal membrane oxygenation

Identifieur interne : 001996 ( Main/Exploration ); précédent : 001995; suivant : 001997

Outcomes and survival prediction models for severe adult acute respiratory distress syndrome treated with extracorporeal membrane oxygenation

Auteurs : Sacha Rozencwajg [France] ; David Pilcher [Australie] ; Alain Combes [France] ; Matthieu Schmidt [France]

Source :

RBID : PMC:5139100

Abstract

Extracorporeal membrane oxygenation (ECMO) for severe acute respiratory distress syndrome (ARDS) has known a growing interest over the last decades with promising results during the 2009 A(H1N1) influenza epidemic. Targeting populations that can most benefit from this therapy is now of major importance.

Survival has steadily improved for a decade, reaching up to 65% at hospital discharge in the most recent cohorts. However, ECMO is still marred by frequent and significant complications such as bleeding and nosocomial infections. In addition, physiological and psychological symptoms are commonly described in long-term follow-up of ECMO-treated ARDS survivors. Because this therapy is costly and exposes patients to significant complications, seven prediction models have been developed recently to help clinicians identify patients most likely to survive once ECMO has been initiated and to facilitate appropriate comparison of risk-adjusted outcomes between centres and over time. Higher age, immunocompromised status, associated extra-pulmonary organ dysfunction, low respiratory compliance and non-influenzae diagnosis seem to be the main determinants of poorer outcome.


Url:
DOI: 10.1186/s13054-016-1568-y
PubMed: 27919283
PubMed Central: 5139100


Affiliations:


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Le document en format XML

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<p>Extracorporeal membrane oxygenation (ECMO) for severe acute respiratory distress syndrome (ARDS) has known a growing interest over the last decades with promising results during the 2009 A(H1N1) influenza epidemic. Targeting populations that can most benefit from this therapy is now of major importance.</p>
<p>Survival has steadily improved for a decade, reaching up to 65% at hospital discharge in the most recent cohorts. However, ECMO is still marred by frequent and significant complications such as bleeding and nosocomial infections. In addition, physiological and psychological symptoms are commonly described in long-term follow-up of ECMO-treated ARDS survivors. Because this therapy is costly and exposes patients to significant complications, seven prediction models have been developed recently to help clinicians identify patients most likely to survive once ECMO has been initiated and to facilitate appropriate comparison of risk-adjusted outcomes between centres and over time. Higher age, immunocompromised status, associated extra-pulmonary organ dysfunction, low respiratory compliance and non-influenzae diagnosis seem to be the main determinants of poorer outcome.</p>
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</author>
<author>
<name sortKey="Tsai, T Y" uniqKey="Tsai T">T-Y Tsai</name>
</author>
<author>
<name sortKey="Chang, C H" uniqKey="Chang C">C-H Chang</name>
</author>
<author>
<name sortKey="Jenq, C C" uniqKey="Jenq C">C-C Jenq</name>
</author>
<author>
<name sortKey="Chang, M Y" uniqKey="Chang M">M-Y Chang</name>
</author>
<author>
<name sortKey="Tian, Y C" uniqKey="Tian Y">Y-C Tian</name>
</author>
<author>
<name sortKey="Hung, C C" uniqKey="Hung C">C-C Hung</name>
</author>
<author>
<name sortKey="Fang, J T" uniqKey="Fang J">J-T Fang</name>
</author>
<author>
<name sortKey="Yang, C W" uniqKey="Yang C">C-W Yang</name>
</author>
<author>
<name sortKey="Chen, Y C" uniqKey="Chen Y">Y-C Chen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wu, M Y" uniqKey="Wu M">M-Y Wu</name>
</author>
<author>
<name sortKey="Lin, Pj" uniqKey="Lin P">PJ Lin</name>
</author>
<author>
<name sortKey="Tsai, F C" uniqKey="Tsai F">F-C Tsai</name>
</author>
<author>
<name sortKey="Haung, Y K" uniqKey="Haung Y">Y-K Haung</name>
</author>
<author>
<name sortKey="Liu, K S" uniqKey="Liu K">K-S Liu</name>
</author>
<author>
<name sortKey="Tsai, F C" uniqKey="Tsai F">F-C Tsai</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Barbaro, Rp" uniqKey="Barbaro R">RP Barbaro</name>
</author>
<author>
<name sortKey="Odetola, Fo" uniqKey="Odetola F">FO Odetola</name>
</author>
<author>
<name sortKey="Kidwell, Km" uniqKey="Kidwell K">KM Kidwell</name>
</author>
<author>
<name sortKey="Paden, Ml" uniqKey="Paden M">ML Paden</name>
</author>
<author>
<name sortKey="Bartlett, Rh" uniqKey="Bartlett R">RH Bartlett</name>
</author>
<author>
<name sortKey="Davis, Mm" uniqKey="Davis M">MM Davis</name>
</author>
<author>
<name sortKey="Annich, Gm" uniqKey="Annich G">GM Annich</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>Australie</li>
<li>France</li>
</country>
<region>
<li>Victoria (État)</li>
<li>Île-de-France</li>
</region>
<settlement>
<li>Melbourne</li>
<li>Paris</li>
</settlement>
</list>
<tree>
<country name="France">
<region name="Île-de-France">
<name sortKey="Rozencwajg, Sacha" sort="Rozencwajg, Sacha" uniqKey="Rozencwajg S" first="Sacha" last="Rozencwajg">Sacha Rozencwajg</name>
</region>
<name sortKey="Combes, Alain" sort="Combes, Alain" uniqKey="Combes A" first="Alain" last="Combes">Alain Combes</name>
<name sortKey="Combes, Alain" sort="Combes, Alain" uniqKey="Combes A" first="Alain" last="Combes">Alain Combes</name>
<name sortKey="Rozencwajg, Sacha" sort="Rozencwajg, Sacha" uniqKey="Rozencwajg S" first="Sacha" last="Rozencwajg">Sacha Rozencwajg</name>
<name sortKey="Schmidt, Matthieu" sort="Schmidt, Matthieu" uniqKey="Schmidt M" first="Matthieu" last="Schmidt">Matthieu Schmidt</name>
<name sortKey="Schmidt, Matthieu" sort="Schmidt, Matthieu" uniqKey="Schmidt M" first="Matthieu" last="Schmidt">Matthieu Schmidt</name>
</country>
<country name="Australie">
<region name="Victoria (État)">
<name sortKey="Pilcher, David" sort="Pilcher, David" uniqKey="Pilcher D" first="David" last="Pilcher">David Pilcher</name>
</region>
<name sortKey="Pilcher, David" sort="Pilcher, David" uniqKey="Pilcher D" first="David" last="Pilcher">David Pilcher</name>
</country>
</tree>
</affiliations>
</record>

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