| Literature DB >> 36237909 |
Likang Ma1,2,3, Tianci Chai1,2,3, Xiaojie Yang4, Xinghui Zhuang1,2,3, Qingsong Wu1,2,3, Liangwan Chen1,2,3, Zhihuang Qiu1,2,3.
Abstract
Background: Acute type A aortic dissections (ATAAD) pose a challenge to surgeons due to high mortality, and decision making regarding the appropriate procedure is controversial. This study compared the outcomes of hemiarch and total arch replacement for ATAAD.Entities:
Keywords: adult; hemiarch replacement; meta-analysis; total arch replacement; type A aortic dissection
Year: 2022 PMID: 36237909 PMCID: PMC9552831 DOI: 10.3389/fcvm.2022.988619
Source DB: PubMed Journal: Front Cardiovasc Med ISSN: 2297-055X
FIGURE 1PRISMA flow diagram.
An overview of publication from selected studies.
| References | Study period | Country | Number of hemiarch | Number of total arch | Total sample size | Mean follow up time | Newcastle ottawa score |
| Aizawa et al. ( | 2004–2014 | Japan | 225 | 42 | 267 | 57 ± 32 months | 9 |
| Chen et al. ( | 2009–2013 | China | 21 | 63 | 84 | 7.6 ± 3.4 years | 7 |
| Colli et al. ( | 1998–2015 | Italy | 114 | 21 | 135 | 5 ± 4 yesrs | 7 |
| Dai et al. ( | 2008–2010 | China | 41 | 52 | 93 | 64 ± 5.3 months | 7 |
| Di Eusanio et al. ( | 1997–2012 | Italy | 187 | 53 | 240 | 4.8 ± 3.9 years | 8 |
| Kim et al. ( | 1999–2009 | Korea | 144 | 44 | 188 | 47.5 months | 9 |
| Lee et al. ( | 2008–2018 | Korea | 82 | 16 | 98 | 48 months | 8 |
| Lio et al. ( | 2006–2013 | Italy | 59 | 33 | 92 | 30.5 months | 8 |
| Merkle et al. ( | 2006–2015 | Germany | 72 | 42 | 114 | up to 9 years | 7 |
| Ok et al. ( | 1999–2019 | Korea | 248 | 117 | 265 | NS | 9 |
| Omura et al. ( | 1999–2014 | Japan | 109 | 88 | 197 | 60 ± 48 months | 9 |
| Patel et al. ( | 2004–2019 | USA | 397 | 107 | 504 | NS | 7 |
| Qin et al. ( | 2001–2015 | China | 41 | 62 | 103 | 69.6 ± 19.2 months | 8 |
| Rice et al. ( | 1999–2014 | USA | 440 | 49 | 489 | 49 months | 9 |
| Rylski et al. ( | 2001–2003 | Germany | 37 | 14 | 51 | 4.9 years 45% >5 years | 9 |
| Shi et al. ( | 2006–2011 | China | 71 | 84 | 155 | 42.7 ± 17.8 months | 8 |
| Shiono et al. ( | 1995–2005 | Japan | 105 | 29 | 134 | up to 10 years | 8 |
| Sun et al. ( | 2003–2008 | China | 66 | 148 | 214 | 42–49 months | 8 |
| Uchida et al. ( | 1997–2008 | Japan | 55 | 65 | 120 | 67 months(3–124 months) | 7 |
| Vallabhajosyula et al. ( | 2006–2013 | USA | 30 | 31 | 61 | 60 ± 41 months | 7 |
| Vendramin et al. ( | 2006–2020 | Italy | 163 | 75 | 238 | 4.5 ± 3.5y ears | 9 |
| Yang et al. ( | 1996–2017 | USA | 322 | 150 | 472 | 5.3 years | 9 |
| Zhang et al. ( | 2002–2010 | China | 74 | 88 | 162 | 55.7 ± 33.1 months | 7 |
NS, not specified.
Patient’s demographics (part A).
| References | Mean age | Male sex | Hypertension | Diabetes mellitus | ||||
| HA | TA | HA | TA | HA | TA | HA | TA | |
| Aizawa et al. ( | 66.0 ± 12.0 | 59.0 ± 12.0 | 103 (45.8%) | 31 (73.8%) | NS | NS | NS | NS |
| Chen et al. ( | 51.0 ± 11.7 | 51.5 ± 10.5 | 9 (42.9%) | 29 (46%) | NS | NS | 1 (4.8%) | 4 (6.3%) |
| Colli et al. ( | 63.0 ± 12.0 | 63.0 ± 13.0 | 49 (43%) | 9 (42.9%) | 61 (53.5%) | 15 (71.4%) | 6 (5.3%) | 0 (0%) |
| Dai et al. ( | 49.1 ± 10.4 | 49.8 ± 9.6 | 25 (61%) | 29 (55.8%) | 40 (97.6%) | 49 (94.2%) | 1 (2.4%) | 1 (1.9%) |
| Di Eusanio et al. ( | 64.4 ± 11.2 | 59.2 ± 12.3 | 125 (66.8%) | 41 (77.4%) | 138 (73.8%) | 40 (75.5%) | 8 (4.3%) | 1 (1.9%) |
| Kim et al. ( | 57.6 ± 11.5 | 55.0 ± 12.1 | 69 (47.9%) | 26 (59.1%) | 92 (63.9%) | 24 (54.5%) | 6 (4.2%) | 2 (4.5%) |
| Lee et al. ( | 60.1 ± 14.2 | 60.7 ± 14.3 | 38 (46.3%) | 8 (50.0%) | 45 (54.6%) | 9 (56.3%) | 6 (7.3%) | 0 (0%) |
| Lio et al. ( | 66.0 ± 10.0 | 61.0 ± 12.0 | 43 (72.9%) | 28 (84.8%) | 51 (86.4%) | 30 (90.9%) | 2 (3.4%) | 1 (3.0%) |
| Merkle et al. ( | 67.0 | 60.0 | 49 (68.1%) | 27 (64.3%) | 61 (84.7%) | 31 (73.8%) | 6 (8.3%) | 1 (2.4%) |
| Ok et al. ( | 59.2 ± 11.9 | 51.9 ± 13.6 | 116 (46.8%) | 72 (61.5%) | 150 (60.5%) | 62 (53.0%) | 15 (6.0%) | 6 (5.1%) |
| Omura et al. ( | 70.0 ± 11.0 | 61.0 ± 13.0 | 50 (45.9%) | 62 (70.5%) | NS | NS | NS | NS |
| Patel et al. ( | 55.9 ± 14.1 | 55.3 ± 13.5 | 263 (66.2%) | 71 (66.4%) | 373 (94.0%) | 97 (90.7%) | 59 (14.9%) | 8 (7.5%) |
| Qin et al. ( | 70.7 ± 3.8 | 69.5 ± 3.2 | 29 (70.7%) | 42 (67.7%) | 41 (100%) | 62 (100%) | 11 (26.8%) | 15 (24.2%) |
| Rice et al. ( | 57.9 ± 14.8 | 62.4 ± 13.4 | 313 (71.1%) | 38 (77.6%) | 370 (84.1%) | 40 (81.6%) | NS | NS |
| Rylski et al. ( | 66.0 | 55.0 | 21 (56.8%) | 8 (57.1%) | 31 (83.8%) | 13 (92.9%) | NS | NS |
| Shi et al. ( | 55.9 ± 10.1 | 53.9 ± 12.2 | 53 (74.6%) | 57 (67.9%) | 55 (77.5%) | 67 (79.8%) | 12 (16.9%) | 19 (22.6%) |
| Shiono et al. ( | 66.9 ± 13.0 | 59.5 ± 14.9 | 46 (43.8%) | 15 (51.7%) | NS | NS | NS | NS |
| Sun et al. ( | 46.0 ± 13.0 | 45.0 ± 11.0 | 36 (54.5%) | 126 (85.1%) | 36 (54.5%) | 107 (72.3%) | 2 (3.0%) | 6 (4.1%) |
| Uchida et al. ( | 72.3 | 64.4 | 25 (45.5%) | 28 (43.1%) | NS | NS | NS | NS |
| Vallabhajosyula et al. ( | 58.0 ± 11.0 | 59 ± 12 | 20 (66.7%) | 20 (64.5%) | 26 (86.7%) | 28 (90.3%) | 2 (6.7%) | 2 (6.5%) |
| Vendramin et al. ( | 69.0 | 58.0 | 106 (65.0%) | 57 (76.0%) | 124 (76.1%) | 58 (77.3%) | 11 (6.7%) | 2 (2.7%) |
| Yang et al. ( | 61.0 | 57.0 | 226 (70.2%) | 104 (69.3%) | 230 (71.4%) | 107 (71.3%) | 21 (6.5%) | 9 (6.0%) |
| Zhang et al. ( | 49.1 ± 12.6 | 45.5 ± 13.5 | 55 (74.3%) | 74 (84.1%) | 47 (63.5%) | 64 (72.7%) | 4 (5.4%) | 4 (4.5%) |
NS, not specified; HA, hemiarch; TA, total arch.
Patient’ s demographics (part B).
| References | Mafan syndrome | Renal dysfunction | Cardiogenic shock/Tamponade | Cerebrovascular accident/Stroke | ||||
| HA | TA | HA | TA | HA | TA | HA | TA | |
| Aizawa et al. ( | 3 (1.3%) | 0 (0%) | 2 (0.9%) | 3 (7.1%) | 38 (16.9%) | 4 (9.5%) | 37 (16.4%) | 5 (11.9%) |
| Chen et al. ( | 2 (9.5%) | 7 (11.1%) | 0 (0%) | 1 (1.6%) | NS | NS | 1 (4.8%) | 2 (3.2%) |
| Colli et al. ( | 3 (2.6%) | 0 (0%) | 5 (4.4%) | 0 (0%) | 15 (13.2%) | 2 (9.5%) | 31 (27.2%) | 3 (14.3%) |
| Dai et al. ( | 2 (4.9%) | 3 (5.8%) | 1 (2.4%) | 2 (3.8%) | 2 (4.9%) | 1 (1.9%) | 0 (0%) | 1 (1.9%) |
| Di Eusanio et al. ( | 5 (2.7%) | 3 (5.7%) | 8 (4.3%) | 3 (5.7%) | 25 (13.4%) | 2 (3.8%) | 11 (5.9%) | 4 (7.5%) |
| Kim et al. ( | 7 (4.9%) | 1 (2.3%) | NS | NS | 13 (9.0%) | 4 (9.1%) | 4 (2.8%) | 3 (6.8%) |
| Lee et al. ( | 4 (4.9%) | 1 (6.3%) | NS | NS | NS | NS | 4 (4.9%) | 0 (0%) |
| Lio et al. ( | NS | NS | 1 (1.7%) | 0 (0%) | 5 (8.5%) | 4 (12.1%) | NS | NS |
| Merkle et al. ( | NS | NS | NS | NS | NS | NS | 17 (23.6%) | 13 (31.0%) |
| Ok et al. ( | 17 (6.9%) | 12 (10.3%) | NS | NS | 26 (10.5%) | 12 (10.3%) | NS | NS |
| Omura et al. ( | NS | NS | NS | NS | 25 (22.9%) | 10 (11.4%) | NS | NS |
| Patel et al. ( | NS | NS | 14 (3.5%) | 3 (2.8%) | 30 (7.6%) | 2 (1.9%) | 41 (10.3%) | 11 (10.3%) |
| Qin et al. ( | NS | NS | NS | NS | 7 (17.1%) | 13 (21.0%) | 2 (4.9%) | 2 (3.2%) |
| Rice et al. ( | 9 (2.0%) | 1 (2.0%) | 105 (23.9%) | 10 (20.4%) | 69 (15.7%) | 9 (18.4%) | 32 (7.3%) | 6 (12.2%) |
| Rylski et al. ( | 2 (5.4%) | 0 (0%) | NS | NS | 3 (8.1%) | 1 (7.1%) | NS | NS |
| Shi et al. ( | 10 (14.1%) | 22 (26.2%) | 5 (7.0%) | 4 (4.8%) | 13 (18.3%) | 12 (14.3%) | 2 (2.8%) | 2 (2.4%) |
| Qin et al. ( | 5 (4.8%) | 3 (10.3%) | NS | NS | 49 (46.7%) | 8 (27.6%) | 11 (10.5%) | 0 (0%) |
| Sun et al. ( | 5 (7.6%) | 19 (12.8%) | 1 (1.5%) | 4 (2.7%) | 8 (12.1%) | 3 (2.0%) | 1 (1.5%) | 1 (0.7%) |
| Qin et al. ( | NS | NS | 5 (9.1%) | 2 (3.1%) | 21 (38.2%) | 21 (32.3%) | 12 (21.8%) | 6 (9.2%) |
| Vallabhajosyula et al. ( | 10 (33.3%) | 7 (22.6%) | 3 (10.0%) | 2 (6.5%) | 7 (23.3%) | 3 (9.7%) | 1 (3.3%) | 5 (16.1%) |
| Vendramin et al. ( | NS | NS | 16 (9.8%) | 12 (16.0%) | 61 (37.4%) | 20 (26.7%) | 28 (17.2%) | 19 (25.3%) |
| Yang et al. ( | 16 (5.0%) | 5 (3.3%) | 40 (12.4%) | 26 (17.3%) | 67 (20.8%) | 16 (10.7%) | 13 (4.0%) | 7 (4.7%) |
| Zhang et al. ( | 13 (17.6%) | 21 (23.9%) | 6 (8.1%) | 3 (3.4%) | 25 (33.8%) | 17 (19.3%) | 2 (2.7%) | 1 (1.1%) |
NS, not specified; HA, hemiarch; TA, total arch.
FIGURE 2Forest plot of early mortality.
FIGURE 3Forest plot of late mortality.