| Literature DB >> 32382560 |
Marius Andrei Zavalichi1, Ionut Nistor2,3, Alina-Elena Nedelcu4, Simona Daniela Zavalichi4, Cătălina Marina Arsenescu Georgescu1, Cristian Stătescu1, Adrian Covic2,3.
Abstract
BACKGROUND: Cardiogenic shock is associated with high mortality, despite new strategies for reperfusion therapy. Short-term circulatory support devices may provide adequate support for appropriate myocardial and organ perfusion.Entities:
Mesh:
Year: 2020 PMID: 32382560 PMCID: PMC7193268 DOI: 10.1155/2020/6126534
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Keywords used for search strategy.
| Keywords |
|---|
| Extracorporeal membrane oxygenation |
| ECMO |
| Veno-arterial extracorporeal membrane oxygenation |
| Veno-arterial ECMO |
| V-A ECMO |
| Mechanical circulatory support |
| Extracorporeal life support |
| ECLS |
| Cardiogenic shock |
| CS |
| Acute myocardial infarction |
| AMI |
∗ECLS: extracorporeal life support; CS: cardiogenic shock; AMI: acute myocardial infarction.
Figure 1Selection process of the included studies.
Baseline and patient characteristics.
| Study | ECMO duration | Survive-to-discharge (no. of patients) | Survival rate at 1 month, 6 months, and 12 months | ECMO complications | Transplant | Assist device |
|---|---|---|---|---|---|---|
| Negi et al. [ | NA | 9 (58%) | 58% 1 month | NA | NA | NA |
| Chang et al. [ | 1.96 days | 576 (33.8%) | 34% 1 month | Acute renal failure | NA | NA |
| Wu et al. [ | 66 h for PCI (2-259) | 14 (40%) | NA 1 month | Limb ischaemia | 1 | 0 |
| Chou et al. [ | NA | 15 (34.9%) | NA 1 month | MOF | NA | NA |
| Huang et al. [ | 102.3 ± 66.6 h | 6 (30%) | NA 1 month | Septic shock | NA | NA |
| Sandoval Y et al. [ | 6 (4-7) days | 19 (79.16%) | 79.16% 1 month | NA | 0 | 4 |
| Guenther et al. [ | 120 ± 81 h | NA | 52% 1 month | MOF | 1 | 4 |
| Jeon et al. [ | NA | 43 (39.8%) | 39.8% 1 month | NA | NA | NA |
| Fu et al. [ | NA | 12 (44%) | NA 1 month | NA | NA | NA |
∗h: hours; CABG: coronary artery bypass graft; MOF: multiple organ failure.
Comorbidities associated with the use of ECMO.
| Study | Year | Country | Design | Year of follow-up | Follow-up | N | Type of ECMO | Age (years) | Gender | Comorbidities |
|---|---|---|---|---|---|---|---|---|---|---|
| Negi et al. [ | 20 15 | USA | Retrospective | NA | NA | 16 | V-A ECMO | NA | NA | Diabetes |
| Chang et al. [ | 20 16 | Taiwan | Retrospective | 12.2002-12.2012 | 2.89 months | 17 05 | V-A ECMO | 57.29 ± 16.1 y | 70.6% male | Diabetes |
| Wu et al. [ | 20 13 | China | Retrospective | 06.2003-12.2011 | 12 months (169) | 35 | V-A ECMO | 65.5 y | 77.5% male | Diabetes mellitus |
| Chou et al. [ | 2013 | Taiwan | Retrospective | 01.2006- 07.2010 | 12 mo | 43 | V-A ECMO | 60.525 y | 93% | Hypertension |
| Huang et al. [ | 2017 | China | Retrospective | 01.2009–01.2015 | 30 days | 20 | V-A ECMO | 58.8 ± 13.9 y | 85% male | Hypertension |
| Sando val et al. [ | 2015 | USA | Retrospective | NA | 1 mo | 21 | V-A ECMO | 62 y | 62% male | History of coronary artery disease |
| Guent her et al. [ | 2013 | Germany | Retrospective | 02.2012-08.2013 | 30 days | 23 | V-A ECMO | 55 ± 14 y | 15% female | NA |
| Jeon et al. [ | 2018 | South Korea | Retrospective | 01.2006-12.2016 | 12 mo | 108 | V-A ECMO | 64.95 ± 11.1 y | NA | NA |
| Fu HX et al. [ | 2017 | China | Retrospective | 01.2014- 03.2017 | NA | 27 | V-A ECMO | NA | NA | NA |
∗V-A ECMO: venoarterial extracorporeal membrane oxygenation; PCI: percutaneous coronary intervention; AMI: acute myocardial infarction.
Patients weaned from ECMO.
| Study | Number of patients weaned from V-A ECMO | Number of nonsurvivors after weaning |
|---|---|---|
| Negi et al. [ | NA | NA |
| Chang et al. [ | NA | NA |
| Wu et al. [ | 22 | NA |
| Chou et al. [ | 15 | NA |
| Huang et al. [ | 8 | 2 |
| Sandoval et al. [ | 16 | 5 |
| Guenther et al. [ | 15 | 3 |
| Jeon et al. [ | NA | NA |
| Fu et al. [ | NA | NA |
Most frequent complications associated with the use of ECMO.
| Outcome | Number of studies | Number of events |
|---|---|---|
| Limb ischaemia | 1 | 3 |
| Encephalopathy | 3 | 32 |
| Ischaemic stroke | 1 | 49 |
| Intracerebral haemorrhage | 1 | 29 |
| Gastrointestinal bleeding | 1 | 63 |
| Acute renal failure | 3 | 410 |
| MOF | 3 | 31 |
| Sepsis | 2 | 6 |
∗MOF: multiple organ failure.
Newcastle-Ottawa scale for assessment of quality of included studies (each asterisk represents if individual criterion within the subsection was fulfilled).
| Quality assessment | Acceptable (∗) | Wu et al. | Chang et al. | Guenther et al. | Fu et al. | Huang et al. | Chou et al. | Sandoval et al. | Jeon et al. | Negi et al. |
|---|---|---|---|---|---|---|---|---|---|---|
| (1) Representativeness of the exposed cohort | Representative of average adult in community (age/sex/being at risk of disease) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ |
| (2) Selection of the nonexposed cohort | Drawn from the same community as the exposed cohort | ∗ | ∗ | — | — | — | ∗ | — | — | — |
| (3) Ascertainment of exposure | Secure record, structured interview | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ |
| (4) Demonstration that outcome of interest was not present at the start of the study | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | |
| (5) Adequate control for the most important confounder? | ∗ | ∗ | ∗ | — | ∗ | — | ∗ | — | ∗ | |
| (6) Adequate control for any additional factor? | ∗ | ∗ | ∗ | — | ∗ | ∗ | — | — | — | |
| (7) Assessment of outcome | Independent or blind assessment | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ |
| (8) Was follow-up long enough for outcomes to occur? | ∗ | ∗ | ∗ | ∗ | — | ∗ | ∗ | ∗ | ∗ | |
| (9) Adequacy of follow-up of cohorts | Complete follow-up, or subjects lost to follow-up unlikely to introduce bias | ∗ | ∗ | ∗ | — | — | ∗ | ∗ | ∗ | ∗ |
| Overall quality score (maximum = 9) | 9 | 9 | 8 | 5 | 6 | 8 | 7 | 6 | 7 | |