To be or not to be on ECMO: can survival prediction models solve the question?
Identifieur interne : 000158 ( Main/Exploration ); précédent : 000157; suivant : 000159To be or not to be on ECMO: can survival prediction models solve the question?
Auteurs : Sacha Rozencwajg [France] ; John Fraser [Australie] ; Santiago Montero [France] ; Alain Combes [France] ; Matthieu Schmidt [France]Source :
- Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine [ 1441-2772 ] ; 2017.
Abstract
Over the past decade, there has been growing interest in extracorporeal membrane oxygenation (ECMO) as a rescue therapy for patients with severe acute respiratory distress syndrome (ARDS) and cardiogenic shock. Although survival of ECMO-treated patients has improved recently, the incidence of ECMO-related complications such as bleeding and nosocomial infections remains unacceptably high. In addition, patients often experience long-term physiological and psychological sequelae. Hence, identifying patients who will most likely benefit from ECMO is crucial. Because the technique exposes patients to complications and is associated with high costs and resource utilisation, prediction models have been developed to assist clinicians in identifying patients that would most likely survive after ECMO treatment. In addition, these prediction models enable comparison of risk-adjusted outcomes, both over time and between centres. Our review explores the latest predictive survival models developed for ECMO-treated severe cardiogenic shock and ARDS patients.
PubMed: 29084498
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000232
- to stream PubMed, to step Curation: 000231
- to stream PubMed, to step Checkpoint: 000231
- to stream Ncbi, to step Merge: 005127
- to stream Ncbi, to step Curation: 005127
- to stream Ncbi, to step Checkpoint: 005127
- to stream Main, to step Merge: 000153
- to stream Main, to step Curation: 000158
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">To be or not to be on ECMO: can survival prediction models solve the question?</title>
<author><name sortKey="Rozencwajg, Sacha" sort="Rozencwajg, Sacha" uniqKey="Rozencwajg S" first="Sacha" last="Rozencwajg">Sacha Rozencwajg</name>
<affiliation wicri:level="3"><nlm:affiliation>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris, France. matthieu.schmidt@aphp.fr.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Fraser, John" sort="Fraser, John" uniqKey="Fraser J" first="John" last="Fraser">John Fraser</name>
<affiliation wicri:level="1"><nlm:affiliation>Critical Care Research Group, University of Queensland; and Adult Intensive Care Unit, Prince Charles Hospital, Brisbane, QLD, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Critical Care Research Group, University of Queensland; and Adult Intensive Care Unit, Prince Charles Hospital, Brisbane, QLD</wicri:regionArea>
<wicri:noRegion>QLD</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Montero, Santiago" sort="Montero, Santiago" uniqKey="Montero S" first="Santiago" last="Montero">Santiago Montero</name>
<affiliation wicri:level="3"><nlm:affiliation>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Combes, Alain" sort="Combes, Alain" uniqKey="Combes A" first="Alain" last="Combes">Alain Combes</name>
<affiliation wicri:level="3"><nlm:affiliation>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Schmidt, Matthieu" sort="Schmidt, Matthieu" uniqKey="Schmidt M" first="Matthieu" last="Schmidt">Matthieu Schmidt</name>
<affiliation wicri:level="3"><nlm:affiliation>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2017">2017</date>
<idno type="RBID">pubmed:29084498</idno>
<idno type="pmid">29084498</idno>
<idno type="wicri:Area/PubMed/Corpus">000232</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000232</idno>
<idno type="wicri:Area/PubMed/Curation">000231</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000231</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000231</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000231</idno>
<idno type="wicri:Area/Ncbi/Merge">005127</idno>
<idno type="wicri:Area/Ncbi/Curation">005127</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">005127</idno>
<idno type="wicri:doubleKey">1441-2772:2017:Rozencwajg S:to:be:or</idno>
<idno type="wicri:Area/Main/Merge">000153</idno>
<idno type="wicri:Area/Main/Curation">000158</idno>
<idno type="wicri:Area/Main/Exploration">000158</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">To be or not to be on ECMO: can survival prediction models solve the question?</title>
<author><name sortKey="Rozencwajg, Sacha" sort="Rozencwajg, Sacha" uniqKey="Rozencwajg S" first="Sacha" last="Rozencwajg">Sacha Rozencwajg</name>
<affiliation wicri:level="3"><nlm:affiliation>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris, France. matthieu.schmidt@aphp.fr.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Fraser, John" sort="Fraser, John" uniqKey="Fraser J" first="John" last="Fraser">John Fraser</name>
<affiliation wicri:level="1"><nlm:affiliation>Critical Care Research Group, University of Queensland; and Adult Intensive Care Unit, Prince Charles Hospital, Brisbane, QLD, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Critical Care Research Group, University of Queensland; and Adult Intensive Care Unit, Prince Charles Hospital, Brisbane, QLD</wicri:regionArea>
<wicri:noRegion>QLD</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Montero, Santiago" sort="Montero, Santiago" uniqKey="Montero S" first="Santiago" last="Montero">Santiago Montero</name>
<affiliation wicri:level="3"><nlm:affiliation>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Combes, Alain" sort="Combes, Alain" uniqKey="Combes A" first="Alain" last="Combes">Alain Combes</name>
<affiliation wicri:level="3"><nlm:affiliation>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Schmidt, Matthieu" sort="Schmidt, Matthieu" uniqKey="Schmidt M" first="Matthieu" last="Schmidt">Matthieu Schmidt</name>
<affiliation wicri:level="3"><nlm:affiliation>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Medical Intensive Care Unit, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié-Salpetrière, Assistance Publique, Hôpitaux de Paris, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine</title>
<idno type="ISSN">1441-2772</idno>
<imprint><date when="2017" type="published">2017</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Over the past decade, there has been growing interest in extracorporeal membrane oxygenation (ECMO) as a rescue therapy for patients with severe acute respiratory distress syndrome (ARDS) and cardiogenic shock. Although survival of ECMO-treated patients has improved recently, the incidence of ECMO-related complications such as bleeding and nosocomial infections remains unacceptably high. In addition, patients often experience long-term physiological and psychological sequelae. Hence, identifying patients who will most likely benefit from ECMO is crucial. Because the technique exposes patients to complications and is associated with high costs and resource utilisation, prediction models have been developed to assist clinicians in identifying patients that would most likely survive after ECMO treatment. In addition, these prediction models enable comparison of risk-adjusted outcomes, both over time and between centres. Our review explores the latest predictive survival models developed for ECMO-treated severe cardiogenic shock and ARDS patients.</div>
</front>
</TEI>
<affiliations><list><country><li>Australie</li>
<li>France</li>
</country>
<region><li>Île-de-France</li>
</region>
<settlement><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="Montero, Santiago" sort="Montero, Santiago" uniqKey="Montero S" first="Santiago" last="Montero">Santiago Montero</name>
<name sortKey="Schmidt, Matthieu" sort="Schmidt, Matthieu" uniqKey="Schmidt M" first="Matthieu" last="Schmidt">Matthieu Schmidt</name>
</country>
<country name="Australie"><noRegion><name sortKey="Fraser, John" sort="Fraser, John" uniqKey="Fraser J" first="John" last="Fraser">John Fraser</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000158 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000158 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Asie |area= AustralieFrV1 |flux= Main |étape= Exploration |type= RBID |clé= pubmed:29084498 |texte= To be or not to be on ECMO: can survival prediction models solve the question? }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:29084498" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \ | NlmPubMed2Wicri -a AustralieFrV1
This area was generated with Dilib version V0.6.33. |