| Literature DB >> 34494291 |
Samuel Heuts1, Maged Makhoul1,2, Abdulrahman N Mansouri1, Fabio Silvio Taccone3, Amir Obeid2, Mirko Belliato4, Lars Mikael Broman5, Maximilian Malfertheiner6, Paolo Meani7, Giuseppe Maria Raffa8, Thijs Delnoij9,10, Jos Maessen1,11, Gil Bolotin2, Roberto Lorusso1,11.
Abstract
In-hospital mortality of adult veno-venous extracorporeal membrane oxygenation (V-V ECMO) patients remains invariably high. However, little is known regarding timing and causes of in-hospital death, either on-ECMO or after weaning. The current review aims to investigate the timing and causes of death of adult patients during hospital admittance for V-V ECMO, and to define the V-V ECMO gap, which is represented by the patients that are successfully weaned of ECMO but still die during hospital stay. A systematic search was performed using electronic MEDLINE and EMBASE databases through PubMed. Studies reporting on adult V-V ECMO patients from January 2006 to December 2020 were screened. Studies that did not report on at least on-ECMO mortality and discharge rate were excluded from analysis as they could not provide the required information regarding the proposed V-V ECMO-gap. Mortality rates on-ECMO and after weaning, as well as weaning and discharge rates, were analyzed as primary outcomes. Secondary outcomes were the causes of death and complications. Initially, 35 studies were finally included in this review. Merely 24 of these studies (comprising 975 patients) reported on prespecified V-V ECMO outcomes (on-ECMO mortality and discharge rate). Mortality on V-V ECMO support was 27.8% (95% confidence interval (CI) 22.5%-33.2%), whereas mortality after successful weaning was 12.7% (95% CI 8.8%-16.6%, defining the V-V ECMO gap). 72.2% of patients (95% CI 66.8%-77.5%) were weaned successfully from support and 56.8% (95% CI 49.9%-63.8%) of patients were discharged from hospital. The most common causes of death on ECMO were multiple organ failure, bleeding, and sepsis. Most common causes of death after weaning were multiorgan failure and sepsis. Although the majority of patients are weaned successfully from V-V ECMO support, a significant proportion of subjects still die during hospital stay, defining the V-V ECMO gap. Overall, timing and causes of death are poorly reported in current literature. Future studies on V-V ECMO should describe morbidity and mortality outcomes in more detail in relation to the timing of the events, to improve patient management, due to enhanced understanding of the clinical course.Entities:
Keywords: ECMO; complications; extracorporeal membrane oxygenation; mortality; veno-venous
Mesh:
Year: 2021 PMID: 34494291 PMCID: PMC9293076 DOI: 10.1111/aor.14058
Source DB: PubMed Journal: Artif Organs ISSN: 0160-564X Impact factor: 2.663
FIGURE 1Study selection procedure shown in a PRISMA flow diagram. COVID, coronavirus disease; V‐V ECMO, veno‐venous extracorporeal membrane oxygenation
Study characteristics and V‐V ECMO outcomes, including on‐ECMO mortality, weaning rate, and after weaning mortality rate, and discharge rate
| Author | Year | Total number of patients | On ‐ECMO mortality (n) | % | 95% CI | Weaning rate (n) | % | 95% CI | Mortality after weaning (n) | % | 95% CI | Discharge rate (n) | % | 95% CI |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Beiderlinden | 2006 | 32 | 5 | 15.6 | 3.0‐28.2 | 27 | 84.4 | 71.8‐97.0 | 10 | 31.2 | 15.2‐47.3 | 17 | 53.1 | 35.8‐70.4 |
| Bermudez | 2010 | 11 | 3 | 27.3 | 1.0‐53.6 | 8 | 72.7 | 46.4‐99.0 | 2 | 18.2 | 0‐41.0 | 6 | 54.5 | 25.1‐84.0 |
| Bonacchi | 2011 | 30 | 5 | 16.7 | 3.3‐30.0 | 25 | 83.3 | 70.0‐96.7 | 3 | 10.0 | 0‐20.7 | 22 | 73.3 | 57.5‐89.2 |
| Buchner | 2018 | 13 | 1 | 7.7 | 0‐22.2 | 12 | 92.3 | 77.8‐100 | 1 | 7.7 | 0‐22.2 | 11 | 84.6 | 65.0‐100 |
| Cheng | 2016 | 116 | 32 | 27.6 | 19.5‐35.7 | 84 | 72.4 | 64.3‐80.5 | 22 | 19.0 | 11.8‐26.1 | 62 | 53.4 | 44.4‐62.5 |
| Chimot | 2013 | 52 | 13 | 25.0 | 13.2‐36.8 | 39 | 75.0 | 63.2‐86.8 | 12 | 23.1 | 11.6‐34.5 | 27 | 51.9 | 38.3‐65.6 |
| Chiu | 2015 | 65 | 28 | 43.1 | 31.0‐55.1 | 37 | 56.9 | 44.9‐69.0 | 6 | 9.2 | 2.2‐16.3 | 31 | 47.7 | 35.6‐59.8 |
| Hong | 2013 | 18 | 1 | 5.6 | 0‐16.1 | 17 | 94.4 | 83.9‐100 | 4 | 22.2 | 3.0‐41.4 | 13 | 72.2 | 51.5‐92.9 |
| Kon | 2015 | 55 | 13 | 23.6 | 12.4‐34.9 | 42 | 76.4 | 65.1‐87.6 | 22 | 40.0 | 27.1‐52.9 | 20 | 36.4 | 23.7‐49.1 |
| Kutlesa | 2017 | 40 | 11 | 27.5 | 13.7‐41.3 | 29 | 72.5 | 58.7‐86.3 | 4 | 10.0 | 0.7‐19.3 | 25 | 62.5 | 47.5‐77.5 |
| Lee | 2015 | 45 | 24 | 53.3 | 38.8‐67.9 | 21 | 46.7 | 32.1‐61.2 | 13 | 28.9 | 15.6‐42.1 | 8 | 17.8 | 6.6‐28.9 |
| Messai | 2013 | 17 | 7 | 41.2 | 17.8‐64.6 | 10 | 58.8 | 35.4‐82.2 | 1 | 5.9 | 0‐17.1 | 9 | 52.9 | 29.2‐76.7 |
| Munshi | 2017 | 57 | 18 | 31.6 | 19.5‐43.6 | 39 | 68.4 | 56.4‐80.5 | 0 | 0.9 | 0‐3.2 | 39 | 68.4 | 56.4‐80.5 |
| Nakamura | 2013 | 11 | 4 | 36.4 | 7.9‐64.8 | 7 | 63.6 | 35.2‐92.1 | 1 | 9.1 | 0‐26.1 | 6 | 63.6 | 35.2‐92.1 |
| Ng | 2014 | 31 | 6 | 19.4 | 5.4‐33.3 | 25 | 80.6 | 66.7‐94.6 | 1 | 3.2 | 0‐9.4 | 24 | 77.4 | 62.7‐92.1 |
| Noah | 2011 | 69 | 10 | 14.5 | 6.2‐22.8 | 59 | 85.5 | 77.2‐93.8 | 8 | 11.6 | 4.0‐19.1 | 51 | 73.9 | 63.6‐84.3 |
| Pappalardo | 2013 | 60 | 19 | 31.7 | 19.9‐43.4 | 41 | 68.3 | 56.6‐80.1 | 0 | 0.8 | 0‐3.1 | 41 | 68.3 | 56.6‐80.1 |
| Reeb | 2017 | 8 | 3 | 37.5 | 4.0‐71.0 | 5 | 62.5 | 29.0‐69.0 | 1 | 12.5 | 0‐35.4 | 4 | 50.0 | 15.4‐84.6 |
| Roch | 2014 | 77 | 38 | 49.4 | 38.2‐60.5 | 39 | 50.6 | 39.5‐61.8 | 6 | 7.8 | 1.8‐13.8 | 33 | 42.9 | 31.8‐53.9 |
| Song | 2016 | 13 | 4 | 30.8 | 5.7‐55.9 | 9 | 69.2 | 44.1‐94.3 | 2 | 15.4 | 0‐35.0 | 7 | 53.8 | 26.7‐80.0 |
| Voelker | 2015 | 18 | 7 | 38.9 | 16.4‐61.4 | 11 | 61.1 | 38.6‐83.6 | 0 | 2.6 | 0‐9.8 | 11 | 61.1 | 38.6‐83.6 |
| Wohlfarth | 2014 | 11 | 4 | 36.4 | 7.9‐64.8 | 7 | 63.6 | 35.2‐92.1 | 3 | 27.3 | 1.0‐53.6 | 4 | 36.4 | 7.9‐64.8 |
| Wu | 2014 | 20 | 4 | 20.0 | 2.5‐37.5 | 16 | 80.0 | 62.5‐97.5 | 2 | 10.0 | 0‐23.1 | 14 | 70.0 | 49.9‐90.1 |
| Wu | 2017 | 106 | 35 | 33.0 | 24.1‐42.0 | 71 | 67.0 | 58.0‐75.9 | 21 | 19.8 | 12.2‐27.4 | 50 | 47.2 | 37.7‐56.7 |
| n = 24 | Total | 975 | 295 | 27.8 | 22.5‐33.2 | 680 | 72.2 | 66.8‐77.5 | 145 | 12.7 | 8.8‐16.6 | 535 | 57.1 | 50.2‐64.0 |
Abbreviations: ECMO, extracorporeal membrane oxygenation; NR, not reported.
Studies that report on causes of death.
FIGURE 2Forest plots depicting (A) weaning rate from veno‐venous extracorporeal membrane oxygenation and (B) hospital discharge rate. CI, confidence interval [Color figure can be viewed at wileyonlinelibrary.com]
Causes of death on‐ECMO and after weaning
| Author | Year | Cause of death on‐ECMO (n, %) | Cause of death after weaning (n, %) |
|---|---|---|---|
| Beiderlinden | 2006 | MOF (n = 4, 80%) | Neurological (n = 1, 10%) |
| Sepsis/infection (n = 2, 20%) | |||
| Cerebral hemorrhage (n = 1, 20%) | Unknown (n = 7, 70%) | ||
| Bermudez | 2010 | MOF (n = 2, 67%) | Cerebral hemorrhage (n = 1, 50%) |
| Bleeding (n = 1, 33%) | Sepsis (n = 1, 50%) | ||
| Cheng | 2016 | MOF (n = 22, 69%) | MOF (n = 22, 100%) |
| Cerebral hemorrhage (n = 4, 13%) | |||
| Bleeding (n = 6, 19%) | |||
| Chimot | 2013 | MOF (n = 8, 62%) | Unknown (n = 12, 100%) |
| Neurological (n = 3, 23%) | |||
| Air‐embolism (n = 1, 8%) | |||
| Device‐related (n = 1, 8%) | |||
| Hong | 2013 | Bleeding (n = 1, 100%) | Persistent respiratory failure (n = 4, 100%) |
| Kutlesa | 2017 | Sepsis (n = 9, 82%) | Sepsis (n = 1, 25%) |
| Pulmonary embolism (n = 1, 9%) | Cerebral hemorrhage (n = 2, 50%) | ||
| Myocardial infarction (n = 1, 9%) | Pulmonary embolism (n = 1, 25%) | ||
| Lee | 2015 | Cerebral hemorrhage (n = 1, 4%) | Sepsis/infection (n = 11, 85%) |
| Bleeding (n = 14, 58%) | Unknown (2, 15%) | ||
| Device‐related (n = 2, 8%) | |||
| Thrombo‐embolism (n = 2, 8%) | |||
| Cardiac arrest (n = 5, 21%) | |||
| Noah | 2011 | MOF (n = 1, 10%) | MOF (n = 2, 25%) |
| Cerebral hemorrhage (n = 7, 70%) | Sepsis (n = 1, 13%) | ||
| Cerebral hemorrhage (n = 1, 13%) | |||
| Bleeding (n = 1, 10%) | Bleeding (n = 1, 13%) | ||
| Cardiac arrest (n = 1, 10%) | Persistent respiratory failure (n = 2, 25%) | ||
| Rhabdomyolysis (n = 1, 13%) | |||
| Nakamura | 2013 | Cardiac failure (n = 1, 33%) | Persistent respiratory failure (n = 1, 100%) |
| Bowel ischemia (n = 2, 67%) | |||
| Ng | 2014 | Device‐related (n = 2, 33%) | Vascular injury (n = 1, 100%) |
| DIC (n = 1, 17%) | |||
| Thrombo‐embolism (n = 1, 17%) | |||
| Cerebral hemorrhage (n = 1, 17%) | |||
| Unknown (n = 1, 17%) | |||
| Pappalardo | 2013 | MOF (n = 10, 53%) | – |
| Sepsis (n = 5, 26%) | |||
| Unknown (n = 4, 21%) | |||
| Reeb | 2017 | MOF (n = 2, 67%) | Sepsis (1, 100%) |
| Arrhythmia (n = 1, 33%) | |||
| Roch | 2014 | MOF (n = 34, 89%) | MOF (n = 6, 100%) |
| Cerebral hemorrhage (n = 2, 5%) | |||
| Bleeding (n = 2, 5%) | |||
| Song | 2018 | Sepsis (n = 4, 100%) | Sepsis (n = 2, 100%) |
| Wohlfarth | 2014 | MOF (n = 4, 100%) | Unknown (n = 3, 100%) |
| Wu | 2014 | Bleeding (n = 3, 75%) | Sepsis (n = 2, 100%) |
| Sepsis (n = 1, 25%) | |||
| Wu | 2017 | MOF (n = 28, 80%) | MOF (n = 21, 100%) |
| Cerebral hemorrhage (n = 2, 6%) | |||
| Bleeding (n = 5, 14%) |
Abbreviations: DIC, diffuse intravascular coagulation; ECMO, extracorporeal membrane oxygenation; MOF, multiple organ failure.
In‐hospital complications
| Author | Year | Complication | n | % |
|---|---|---|---|---|
| Bermudez | 2010 | Neurological | 1 | 9 |
| Sepsis | 1 | 9 | ||
| Cannula related | 3 | 27 | ||
| Bonacchi | 2011 | Bleeding | 5 | 17 |
| Buchner | 2018 | Renal | 6 | 46 |
| Neurological | 1 | 8 | ||
| Bleeding | 9 | 69 | ||
| Respiratory | 8 | 62 | ||
| Cheng | 2016 | Bleeding | 10 | 9 |
| Sepsis | 46 | 40 | ||
| Chimot | 2013 | Hematological | 11 | 21 |
| Bleeding | 9 | 17 | ||
| Cannula related | 4 | 8 | ||
| Other | 5 | 10 | ||
| Renal | 2 | 4 | ||
| Sepsis | 2 | 4 | ||
| Hong | 2013 | Cannula related | 1 | 6 |
| Bleeding | 3 | 17 | ||
| Other | 1 | 6 | ||
| Kon | 2015 | Bleeding | 21 | 38 |
| Hematological | 6 | 11 | ||
| Neurological | 4 | 7 | ||
| Kutlesa | 2017 | Cannula related | 2 | 5 |
| Bleeding | 7 | 18 | ||
| Renal | 16 | 40 | ||
| Respiratory | 17 | 43 | ||
| Hematological | 16 | 40 | ||
| Lee | 2015 | Bleeding | 22 | 49 |
| Cannula related | 20 | 44 | ||
| Mechanical | 2 | 4 | ||
| Munshi | Respiratory | 5 | 9 | |
| Leg ischemia | 1 | 2 | ||
| Bleeding | 1 | 2 | ||
| Hematological | 4 | 7 | ||
| Ng | 2014 | Bleeding | 1 | 3 |
| Respiratory | 1 | 3 | ||
| Mechanical | 3 | 10 | ||
| Noah | 2011 | Bleeding | 23 | 24 |
| Other | 6 | 6 | ||
| Cannula related | 3 | 3 | ||
| Respiratory | 4 | 4 | ||
| Hematological | 1 | 1 | ||
| Pappalardo | 2013 | Cannula related | 5 | 8 |
| Other | 4 | 7 | ||
| Roch | 2014 | Bleeding | 25 | 33 |
| Wohlfarth | 2014 | Bleeding | 6 | 54.6 |
| Leg ischemia | 2 | 18 | ||
| Wu | 2017 | Bleeding | 6 | 6 |