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.
| Original language | English |
|---|---|
| Article number | 392 |
| Journal | Critical Care |
| Volume | 20 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 5 Dec 2016 |
Keywords
- Acute respiratory distress syndrome
- ECMO-related complications
- Extracorporeal membrane oxygenation
- Outcome
- Predictive survival models
Cite this
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Outcomes and survival prediction models for severe adult acute respiratory distress syndrome treated with extracorporeal membrane oxygenation. / Rozencwajg, Sacha; Pilcher, David; Combes, Alain; Schmidt, Matthieu.
In: Critical Care, Vol. 20, No. 1, 392, 05.12.2016.Research output: Contribution to journal › Review Article › Other › peer-review
TY - JOUR
T1 - Outcomes and survival prediction models for severe adult acute respiratory distress syndrome treated with extracorporeal membrane oxygenation
AU - Rozencwajg, Sacha
AU - Pilcher, David
AU - Combes, Alain
AU - Schmidt, Matthieu
PY - 2016/12/5
Y1 - 2016/12/5
N2 - 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.
AB - 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.
KW - Acute respiratory distress syndrome
KW - ECMO-related complications
KW - Extracorporeal membrane oxygenation
KW - Outcome
KW - Predictive survival models
UR - http://www.scopus.com/inward/record.url?scp=85000352410&partnerID=8YFLogxK
U2 - 10.1186/s13054-016-1568-y
DO - 10.1186/s13054-016-1568-y
M3 - Review Article
VL - 20
JO - Critical Care
JF - Critical Care
SN - 1364-8535
IS - 1
M1 - 392
ER -