| Literature DB >> 32729556 |
Pan Pan1,2, Peng Yan2, Dawei Liu1, Xiaoting Wang1, Xiang Zhou1, Yun Long1, Kun Xiao2, Weiguo Zhao2, Lixin Xie2, Longxiang Su1.
Abstract
BACKGROUND Left ventricular decompression is the primary method for solving VA-ECMO-induced LV afterload increase, but the effect of specific methods on patient outcomes and complications is unknown. MATERIAL AND METHODS We searched for all published reports conducted in patients undergoing ECMO combined with LVD. Statistical analyses were performed using Stata 12.0. RESULTS The results showed that the risk of death with ECMO combined with LVD was 29% lower than that with ECMO alone (OR=0.71, 95% CI: 0.56-0.89, I²=59.5%, P<0.001). Although the risk of death with ECMO combined other LV decompression techniques was higher than that with ECMO combined with IABP, the difference was not statistically significant (OR=1.27, 95% CI: 0.86-1.87, I²=44.0%, P=0.057). In addition, the ORs values of hemorrhage, stroke/acute episodes, lower-limb ischemia, and hemolysis for ECMO combined with LVD were 0.69 (0.66-0.71), 0.82 (0.78-0.89), 0.71 (0.30-1.66), and 0.48 (0.16-1.39), respectively. The risk of complications, such as stroke/TIA, limb ischemia, and hemolysis, of ECMO combined with IABP was lower than that of ECMO combined other LV decompression techniques, and the risk of bleeding was higher for ECMO combined with IABP. CONCLUSIONS ECMO combined with LVD is more beneficial than using ECMO alone and helps to lower patient mortality.Entities:
Mesh:
Year: 2020 PMID: 32729556 PMCID: PMC7414525 DOI: 10.12659/MSM.924009
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Figure 1Process for the identification of the included studies.
Features of the studies included in this systematic review comparing ECMO combined with left ventricular decompression and ECMO alone.
| Author | Year | Region | Design | Males | Females | Mean BMI | Mean age | Sample | ECMO+ MCS deaths | ECMO+ MCS total | ECMO deaths | ECMO total | Diabetes | Hypertension | CKD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Maniuc [ | 2019 | Germany | Case control study | 54 | 21 | – | 61 ± 13 | 75 | 15 | 50 | 12 | 25 | – | – | – |
| Singh [ | 2019 | UK | Retrospective study | 16 | 7 | 28.2±3.3 | 50 (45–56) | 23 | 13 | 18 | 4 | 5 | 1 | 3 | – |
| Nersesian [ | 2018 | Germany | Retrospective study | 72 | 34 | – | 59 (18–76) | 106 | 20 | 37 | 39 | 69 | – | – | – |
| Chen [ | 2019 | China | Retrospective study | 112 | 40 | 23.6 (20.8–25.9) | 49.5±14.1 | 152 | 66 | 66 | 73 | 86 | 20 | 39 | – |
| Solé [ | 2018 | Spain | Retrospective study | 19 | 9 | – | 69.2 (50–89) | 28 | 5 | 20 | 8 | 8 | 9 | 18 | – |
| Schiller [ | 2018 | Sweden | Retrospective study | 67 | 27 | – | 59±15 | 94 | 16 | 46 | 18 | 48 | – | – | – |
| Chen [ | 2018 | China | Retrospective study | 45 | 15 | 23.4±4.0 | 51.4±12.7 | 60 | 8 | 38 | 11 | 22 | 10 | 20 | – |
| Huang [ | 2018 | Taiwan | Retrospective study | 40 | 6 | – | 57.5±10.1 | 46 | 5 | 12 | 24 | 34 | 17 | 27 | 3 |
| Fiedler [ | 2018 | USA | Retrospective study | 45 | 14 | 31±7.1 | 59±10.3 | 59 | 3 | 12 | 11 | 37 | 36 | 42 | – |
| Matsumoto [ | 2018 | Japan | Retrospective study | 21 | 15 | 21 (19–22) | 44 (24–64) | 37 | 2 | 22 | 9 | 15 | 5 | 2 | – |
| Ando [ | 2018 | USA | Retrospective study | 171 | 81 | 27.0 (23.6–32.2) | 56.0 (45.0–63.0) | 252 | 30 | 125 | 37 | 127 | 135 | 83 | – |
| Pawale [ | 2017 | USA | Retrospective study | 38 | 15 | – | 54.9±10.8 | 43 | 6 | 21 | 8 | 22 | – | – | – |
| Mourad [ | 2017 | France | Retrospective study | 35 | 7 | 26.5 (25–27.5) | 54 (50–60) | 42 | 8 | 19 | 11 | 23 | 14 | 12 | – |
| Shah [ | 2017 | USA | Retrospective study | 57306 | 86948 | – | 68.8±13.3 | 144254 | 31011 | 64338 | 35962 | 79916 | 74680 | 45208 | 37283 |
| Centofanti [ | 2017 | Italy | Retrospective study | 13 | 11 | – | 46.0±14.41 | 24 | 0 | 6 | 4 | 11 | – | – | – |
| Abdeen [ | 2016 | Germany | Retrospective study | 31 | 9 | 23±5 | 51±12 | 40 | 10 | 17 | 16 | 23 | – | – | – |
| Aso [ | 2016 | Japan | Retrospective study | 774 | 292 | – | – | 1066 | 258 | 533 | 310 | 533 | 14 | 2 | – |
| Pappalardo [ | 2016 | Germany | Retrospective study | 55 | 8 | – | 51 (47–61) | 63 | 10 | 21 | 31 | 42 | – | – | – |
| Cheng [ | 2016 | USA | Retrospective study | 50 | 23 | – | 53.4±12.2 | 73 | 11 | 30 | 31 | 43 | 12 | – | – |
| Lackermair [ | 2016 | Germany | Retrospective study | 21 | 7 | – | 60.5±17 | 28 | 3 | 9 | 18 | 28 | – | – | – |
| Lin [ | 2016 | Taiwan | Retrospective study | 399 | 130 | 25.1±3.9 | 56.8±13.4 | 529 | 144 | 302 | 110 | 227 | 171 | 185 | 238 |
| Leidenfrost [ | 2015 | USA | Retrospective study | – | - | – | 45.6±16 | 27 | 1 | 12 | 7 | 15 | – | – | – |
Features of the studies included in this systematic review comparing ECMO combined with IABP, ECMO-assisted surgery.
| Author | Year | Region | Design | Males | Females | Mean BMI | Mean age | Diabetes | Hypertension | Sample | IABP death | IABP total | VAD death | VAD total | Complications |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kim [ | 2019 | Korea | Case control study | 16 | 51 | 24 (21–26) | 68 (58–77) | 11 | 12 | 67 | 5 | 44 | 6 | 23 | Stroke, AF, respiratory complications, kidney damage, lower limb ischaemia, bleeding |
| Chen [ | 2019 | China | Retrospective study | 112 | 40 | 23.6 (20.8–25.9) | 49.5±14.1 | 20 | 39 | 158 | 19 | 79 | 10 | 79 | Bleeding, lower limb ischaemia, neurological complications |
| Matsumoto [ | 2018 | Japan | Retrospective study | 21 | 15 | 22 (20–24) | 44 (24–64) | 5 | 2 | 37 | 13 | 15 | 15 | 22 | Lower limb ischaemia, haemorrhage, stroke |
| Nersesian [ | 2018 | Germany | Retrospective study | 72 | 34 | – | 59 (18–76) | – | – | 37 | 16 | 28 | 5 | 9 | Haemolysis, haemorrhage, stroke |
| Schiller [ | 2018 | Sweden | Retrospective study | 67 | 27 | – | 59±15 | – | – | 94 | 19 | 46 | 17 | 48 | – |
| Fiedler [ | 2018 | USA | Retrospective study | 45 | 14 | 28.8±5.9 | 59±10.3 | 36 | 42 | 59 | 3 | 12 | 11 | 47 | – |
| Mourad [ | 2018 | France | Retrospective study | 35 | 7 | 26.5 (25–27.5) | 54 [50–60] | 14 | 12 | 42 | 11 | 23 | 8 | 19 | Bleeding, haemolysis, stroke |
| Bréchot [ | 2017 | France | Retrospective study | 94 | 32 | 26 (23–29) | 53 (43–61) | – | – | 126 | 23 | 63 | 31 | 63 | – |
| Pappalardo [ | 2016 | Germany | Retrospective study | 55 | 8 | – | 51 (47–61) | – | – | 63 | 31 | 42 | 10 | 21 | Bleeding |
| Lin [ | 2016 | Taiwan | Retrospective study | 399 | 130 | 25.1±3.9 | 56.8±13.4 | 171 | 185 | 529 | 144 | 302 | 110 | 227 | – |
| Leidenfrost [ | 2015 | USA | Retrospective study | - | – | – | 45.6±16 | – | – | 27 | 8 | 27 | 1 | 12 | – |
Figure 2Forest plot of comparing the risk of death between ECMO combined with left ventricular decompression (LVD) therapy and ECMO alone.
Figure 3Forest plot comparing the risk of death between ECMO combined with left ventricular decompression (LVD) therapy and ECMO alone (A represents all the included studies; B represents the studies excluding ref. [14] and [17]).
Figure 4Forest plot comparing the risk of death between ECMO combined with ECMO-assisted surgery and ECMO combined with IABP.
Figure 5Forest plot comparing the risk of death between ECMO-assisted surgery and ECMO combined with IABP (A represents grouping by sample size; B represents grouping by region).
Figure 6Comparison of the risk of complication between ECMO combined with left ventricular decompression (LVD) therapy and ECMO alone (A) and ECMO-assisted surgery and ECMO combined with IABP (B).
Figure 7Funnel plot for ECMO combined with left ventricular decompression (LVD) therapy and ECMO alone (A) and ECMO-assisted surgery and ECMO combined with IABP (B).
Figure 8Sensitivity analysis for ECMO combined with left ventricular decompression (LVD) therapy and ECMO alone (A) and ECMO-assisted surgery and ECMO combined with IABP (B).