Table 1 Baseline demographics of studies included for systematic review
From: ECMO in adult patients with severe trauma: a systematic review and meta-analysis
First author | Year of publish | Country/District | Sample Size | Age-Years* | Male patients n (%) | TBI | CA | ISS* | SOFA | P/F ratio* | Type of trauma |
|---|---|---|---|---|---|---|---|---|---|---|---|
Mader | 2023 | Germany | 134 | 49.8 ± 20.1 | 108 (80.6) | 134 | NR | 35.9 ± 14.6 | NR | NR | Penetrating trauma1 Road traffic74 Low fall28 High fall22 |
Hatfield | 2023 | USA | 118 | 30 (22–46) | 92 (78.0) | 118 | 0 | 29 (17–41) | NR | NR | NR |
Weidemann | 2022 | Germany | 19 | 28 ± 11 | 15 (78.9) | 14 | 0 | 45 ± 13 | NR | 70.22 ± 26.8 | Car crash 8 Fall from great height 3 Motorcycle crash 5 Knife attack 1 Mechanical bruising trauma 1 Pedestrian hit by a car 1 |
Trivedi | 2022 | USA | 7 | 32.1 ± 8.7 | 7 (100.0) | 1 | 0 | NR | NR | NR | Motor vehicle accident 6 Crush injury 1 |
Salas | 2022 | USA | 15 | 30.6 [17–57] | 13 (86.7) | 5 | 0 | 34.1 ± 11.5 | NR | 53 (27–76) | Motor vehicle collision 9 Motorcycle collision 3 Fall 1 Auto-versuspedestrian accidents 2 |
Lee | 2022 | Korea | 16 | 47.5(34.3–71.3) | 13(81.3) | 0 | 0 | 23.5 (10.8–29.0) | NR | 60 (50–60) | Pedestrian struck by a motor vehicle 4 Motor vehicle crashes 3 Motorcycle crashes 5 Falls 2 Crushing 1 |
Kim | 2022 | Korea | 21 | 45.0 ± 17.8 | 18 (85.7) | 5 | 0 | 28.9 ± 11.0 | NR | 55.4 ± 13.1 | Traffic accident 16 Fall 2 Crushing 2 Stab wound 1 |
Eisenga | 2022 | USA | 10 | 31 [24–63] | NR(NR) | 1 | 1 | NR | NR | NR | NR |
Brewer | 2022 | USA | 12 | 33.6 ± 4.0 | NR(NR) | NR | 0 | 27.6 ± 6.0 | NR | NR | NR |
Al-Thani | 2022 | Qatar | 22 | 29.6 ± 13.8 | 19 (86.4) | 15 | NR | 30.6 ± 12.3 | 9.4 ± 4.8 | NR | Motor vehicle crash 11 Pedestrian 7 Fall from height 3 Struck by a heavy Object 1 |
Parker | 2021 | USA | 13 | 28 (25–37.5) | 11 (84.6) | 13 | 0 | 48 (33.5–66) | NR | 58 (47–74.5) | NR |
Henry | 2021 | USA | 97 | 35 (22–51) | 79 (81.4) | 28 (-) | NR | 27 (17–34) | NR | NR | NR |
Lee | 2020 | Korea | 42 | 41 (18.75–52.75) | 37 (88.1) | 5 | 21 | NR | 11.50 (4.0–19.0) | 61.5 (49.7–81.7) | Car accident 9 Near drowning 18 Gunshot wound 1 Intoxication 2 Crushing injury 5 Fall down 4 Hanging 1 Stabbed wound 2 |
Huang | 2020 | USA | 12 | 31 (27.3–38.0) | 11 (91.7) | NR | 3 | 28 (18.8–39.0) | NR | NR | Penetrating 3 Blunt 8 Mixed 1 |
Guttman | 2020 | USA | 269 | 34.4 ± 14.8 | 231 (85.9) | 82 | NR | 30.6 ± 14.6 | NR | NR | Fall 25 MVC 119 Motorcycle 33 Pedestrian/cyclist 23 Other blunt 23 Firearm 38 Cut/pierce 8 |
Akhmerov | 2020 | USA | 522 | 32.0 ± 17.4 | 422 (80.8) | NR | NR | 26.8 ± 15.1 | NR | NR | Blunt 362 Penetrating 78 Burn 38 Other 42 |
Kruit | 2019 | UK | 52 | 34.4 ± 15.4 | 42 (80.8) | 19 | NR | 35 (25–56) | 12 (5–13) | 62.2 (54.7–73.3) | Road traffic collision (car) 18 Road traffic collision (pedestrian) 8 Fall 8 Road traffic collision (motorbike) 7 Road traffic collision (cyclist) 3 Assault 4 Helicopter crash 1 Speedboat crash 1 |
Wu | 2018 | Taiwan | 36 | 36 (27–49) | 27 (75.0) | NR | 8 | 29 (19–45) | NR | NR | Stabbing 1 Traffic accident 23 Electrocution 1 Falling 5 Compression injury 1 |
Strumwasser | 2018 | USA | 7 | 38 [23–63] | 7 (100.0) | NR | 3 | 34 [16–54] | NR | 55 [30–167] | Motorcycle collision 5 Gunshot wound 2 |
Menaker | 2018 | USA | 18 | 28.5 ( 24–43) | 15 (83.3) | NR | NR | 27 (21–41) | NR | 61 (50–70) | 12 (67%) patients had a blunt mechanism of injury |
Grant | 2018 | USA | 19 | NR | NR(NR) | NR | NR | NR | NR | NR | Gunshot wound 4 Assault 1 Crush 1 Traffic Accidents 6 Fall 3 Stab wound 1 |
Ull | 2017 | Germany | 49 | 49.9 (16.6–86.2) | 44 (89.8) | NR | NR | NR | 12(6–19) | NR | NR |
Kim | 2017 | Korea | 9 | 48.0 (20.5–62.0) | 8(88.9) | NR | 2 | NR | 14.0 (10.5–15.5) | 60.8 (47.3–71.8) | Car accident 4 Gunshot wound 1 Crush injury 2 Fall 2 |
Huh | 2017 | Korea | 10 | 45.6 ± 22.3 | 7 (70.0) | NR | 7 | 47.3 ± 21 | 7.4 ± 4.2 | NR | MVA, motor vehicle acciden 4 TA, traffic Accident 2 Fall down 2 Penetrating injury 2 |
Burke | 2017 | USA | 80 | 26.5 (19–41.5) | 68 (85.0) | 31 | 4 | 25 (16.5–33) | NR | NR | Penetrating trauma 9 Blunt trauma 66 Other mechanisms 5 |
Ahmad | 2017 | USA | 46 | NR | NR(NR) | 11 | NR | NR | NR | NR | NR |
Chen | 2016 | Taiwan | 7 | 31 (21–49) | 6 (85.7) | 4 | NR | 36 (27–57) | NR | 63.4 ± 25.3 | Traffic accidents were predominant 5 Followed by falls 2 |
Bosarge | 2016 | USA | 15 | 36.0 (25.0–47.0) | 15 (100.0) | 2 | NR | 26.0 (17.0–34.0) | 3.5 (3.5–3.75) | 56.0 (15.5–69.0) | NR |
Wu | 2015 | Taiwan | 19 | 40.7 ± 18.7 | 17 (89.5) | 5 | NR | 29.0 (25–34) | NR | 60.0 (48–65) | MVC 17 Fall2 |
Tseng | 2014 | Taiwan | 9 | 3 7(27–46) | 8 (88.9) | 0 | 8(3/8) | 34(15.5–41) | NR | NR | Traffic accident 5 High voltage electric shock 1 Fall 2 Stab 1 |
Guirand | 2014 | USA | 26 | 33.0 ± 11.5 | 20 (76.9) | NR | NR | 29.0 ± 12.4 | NR | 49.6 ± 10.7 | Blunt trauma 21 |
Ried | 2013 | Germany | 26 | 29.3 ± 13.2 | 24 (92.3) | NR | NR | 59.4 ± 11.2 | 11.8 ± 2.4 | 54 (48–65) | Traffic accident 21 Gunshot wound 3 Fall 1 Blunt 1 |
Bonacchi | 2013 | Italy | 18 | 46.3 ± 17.6 | 12 (66.7) | 0 | 11 (0) | 53 ± 17 [18–75] | NR | NR | Motorcycle accident 15 Crash 1 Fall 2 |
Arlt | 2010 | Germany | 10 | 34.8 [21–62] | 8(80.0) | NR | 1 (1) | 65.44 ± 14.871 | 10.8 ± 1.3 | NR | Traffic injury 8 Fall 1 Open chest injury 1 |
Huang | 2009 | Taiwan | 9 | 35.1 ± 9.7 | NR(NR) | NR | 2 (1) | 44.56 ± 4.93 [35–50] | 12.1 ± 3.67 | NR | Blunt traffic injuries 8 Penetrating injury 1 |
Cordell-Smith | 2006 | UK | 28 | 27 | 24 (85.7) | NR | NR | 18 | NR | 62 | NR |