| Literature DB >> 35548406 |
Shicheng Zhang1, Siyuan Huang1, Xieraili Tiemuerniyazi1, Yangwu Song1, Wei Feng1.
Abstract
We aimed to compare the early, mid-term, and long-term mortality between on-pump vs. off-pump redo coronary artery bypass grafting (CABG). We conducted a systematic search for studies comparing clinical outcomes of patients who underwent on-pump vs. off-pump redo CABG. We pooled the relevant studies quantitatively to compare the early (perioperative period, whether in hospital or within 30 days after discharge), mid-term (≥1 year and <5 years), and long-term (≥5 year) mortality of on-pump vs. off-pump redo CABG. A random-effect model was applied when there was high heterogeneity (I2 > 50%) between studies. Otherwise, a fixed-effect model was utilized. After systematic literature searching, 22 studies incorporating 5,197 individuals (3,215 in the on-pump group and 1,982 in the off-pump group) were identified. A pooled analysis demonstrated that compared with off-pump redo CABG, on-pump redo CABG was associated with higher early mortality (OR 2.11, 95%CI: 1.54-2.89, P < 0.00001). However, no significant difference was noted in mid-term mortality (OR 1.12, 95%CI: 0.57-2.22, P = 0.74) and long-term mortality (OR 1.12, 95%CI: 0.41-3.02, P = 0.83) between the two groups. In addition, the complete revascularization rate was higher in the on-pump group than the off-pump group (OR 2.61, 95%CI: 1.22-5.60, P = 0.01). In conclusion, the off-pump technique is a safe and efficient alternative to the on-pump technique, with early survival advantage and similar long-term mortality to the on-pump technique in the setting of redo CABG, especially in high-risk patients. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42021244721.Entities:
Keywords: comparison; mortality; off-pump; on-pump; redo coronary artery bypass grafting
Year: 2022 PMID: 35548406 PMCID: PMC9081922 DOI: 10.3389/fcvm.2022.869987
Source DB: PubMed Journal: Front Cardiovasc Med ISSN: 2297-055X
Figure 1Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) study selection flow diagram.
Quality assessment of included studies.
|
|
|
|
|
|
|---|---|---|---|---|
| Aranda-Michel et al. ( | 4 | 1 | 3 | 8 |
| Bergsland et al. ( | 4 | 1 | 2 | 7 |
| Bruno et al. ( | 4 | 1 | 3 | 8 |
| Czerny et al. ( | 3 | 1 | 3 | 7 |
| D'Ancona et al. ( | 3 | 2 | 3 | 8 |
| Dewey et al. ( | 3 | 1 | 3 | 7 |
| Dohi et al. ( | 4 | 1 | 3 | 8 |
| Iscan ( | 3 | 1 | 2 | 6 |
| Kara et al. ( | 4 | 1 | 3 | 8 |
| Mishra et al. ( | 3 | 2 | 2 | 7 |
| Morris et al. ( | 3 | 1 | 3 | 7 |
| Ramlawi et al. ( | 4 | 1 | 2 | 7 |
| Rufa et al. ( | 4 | 2 | 2 | 8 |
| Schutz et al. ( | 2 | 2 | 2 | 6 |
| Shapira et al. ( | 4 | 1 | 3 | 8 |
| Shin et al. ( | 3 | 2 | 3 | 8 |
| Stamou et al. ( | 3 | 1 | 3 | 7 |
| Teodori et al. ( | 3 | 1 | 3 | 7 |
| Tugtekin et al. ( | 4 | 2 | 2 | 8 |
| Usta et al. ( | 4 | 1 | 3 | 8 |
| Vohra et al. ( | 4 | 1 | 3 | 8 |
| Wu et al. ( | 3 | 1 | 2 | 6 |
Quality assessment is based on the Newcastle Ottawa Quality Assessment Scale.
Figure 2Funnel plot for early mortality.
Figure 6Funnel plot for perioperative neurological events.
Studies included in the meta-analysis and quality scoring.
|
|
|
|
|
|
|
|
|
|---|---|---|---|---|---|---|---|
| Aranda-Michel et al. ( | Cardiovasc Revasc Med | Retrospective, Observational | Caucasian, Black | USA | 2011–2017 | 350 (41/309) | 8 |
| Bergsland et al. ( | Eur J Cardiothorac Surg | Retrospective, Observational | Caucasian | USA | 1995.1–1996.12 | 288 (105/183) | 7 |
| Bruno et al. ( | Eur J Cardiothorac Surg | Retrospective, Observational | Caucasian | UK | 1996.5–2014.1 | 176 (88/88) | 8 |
| Czerny et al. ( | Ann Thorac Surg | Retrospective, Observational | Caucasian | Austria | 1995.1–2002.4 | 118 (44/74) | 7 |
| D'Ancona et al. ( | Heart Surgery Forum | Retrospective, Observational | Caucasian | USA | 1995.1–1999.3 | 581 (274/307) | 8 |
| Dewey et al. ( | Heart Surgery Forum | Retrospective, Observational | Caucasian | USA | 1998.1–2000.12 | 432 (153/279) | 7 |
| Dohi et al. ( | Eur J Cardiothorac Surg | Retrospective, Observational | Asian | Japan | 2008–2011 | 400 (200/200) | 8 |
| Iscan ( | Cardiovasc Surg | Retrospective, Observational | Caucasian | Turkey | 1978–2000 | 113 (32/81) | 6 |
| Kara et al. ( | Ann Thorac Cardiovasc Surg | Retrospective, Observational | Caucasian | Turkey | 1998–2010 | 105 (52/53) | 8 |
| Mishra et al. ( | J Thorac Cardiovasc Surg | Retrospective, Observational | Caucasian | India | 1996.1–2005.12 | 538 (332/206) | 7 |
| Morris et al. ( | Innovations | Retrospective, Observational | Caucasian | USA | 1997.1–2004.12 | 771 (132/639) | 7 |
| Ramlawi et al. ( | Innovations | Retrospective, Observational | Caucasian | USA | 2004.1–2011.7 | 266 (62/204) | 7 |
| Rufa et al. ( | J Thorac Cardiovasc Surg | Retrospective, Observational | Caucasian | UK | 2006.1–2015.6 | 216 (108/108) | 8 |
| Schutz et al. ( | Thorac Cardiovasc Surg | Retrospective, Observational | Caucasian | Germany | — | 40 (20/20) | 6 |
| Shapira et al. ( | J Card Surg | Retrospective, Observational | Caucasian | USA | 1989.7–1999.7 | 32 (18/14) | 8 |
| Shin et al. ( | Korean J Thorac Cardiovasc Surg | Retrospective, Observational | Asian | Korea | 1996.6–2011.10 | 32 (18/14) | 8 |
| Stamou et al. ( | Ann Thorac Surg | Retrospective, Observational | Caucasian | USA | 1992.4–1999.7 | 132 (91/41) | 7 |
| Teodori et al. ( | J Card Surg | Retrospective, Observational | Caucasian | Italy | 1994.11–1999.5 | 166 (54/112) | 7 |
| Tugtekin et al. ( | Clin Res Cardiol | Retrospective, Observational | Caucasian | Germany | 1998.1–2004.5 | 195 (35/160) | 8 |
| Usta et al. ( | J Cardiothorac Surg | Retrospective, Observational | Caucasian | Germany | 2007.1–2010.12 | 80 (40/40) | 8 |
| Vohra et al. ( | Eur J Cardiothorac Surg | Retrospective, Observational | Caucasian | UK | 2001.4–2006.9 | 86 (43/43) | 8 |
| Wu et al. ( | Chin Med Sci J | Retrospective, Observational | Asian | China | 2003.1–2013.8 | 80 (40/40) | 6 |
Detailed demographic characteristics of individuals in the included studies.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aranda-Michel et al. ( | on-pump | 70.7 ± 8.8 | 242 (78.3%) | – | 149 (48.2%) | 294 (95.1%) | 291 (94.2%) | 79 (25.6%) | 3 (1%) | 96 (31.1%) | 26 (8.4%) | 98 (31.7%) | 48.9 ± 11.8 | – | – | – |
| off-pump | 70.7 ± 8.82 | 30 (73.2%) | – | 27 (65.9%) | 37 (90.2%) | 40 (97.6%) | 10 (24.4%) | 1 (2.4%) | 18 (43.9) | 6 (14.6%) | 7 (17.1%) | 47.7 ± 13 | – | – | – | |
| Bergsland et al. ( | on-pump | 65.7 | 143 (78.1%) | 28 (15.3%) | 59 (32.2%) | 144 (78.7%) | – | 42 (23%) | 2 (1%) | 77 (42.1%) | 18 (9.8%) | 19 (10.4%) | 47.4 | – | – | – |
| off-pump | 66 | 78 (74.3%) | 8 (7.6%) | 25 (23.8%) | 89 (84.3%) | – | 31 (29.5%) | 1 (1%) | 44 (41.9%) | 12 (11.4%) | 15 (14.3%) | 45.1 | – | – | – | |
| Bruno et al. ( | on-pump | 67.7 ± 7.5 | 79 (89%) | 60 (71%) | 23 (27%) | 62 (74%) | – | 8 (9%) | 1 (1%) | 15 (18%) | 9 (11%) | – | <50% 30 (36%) | 7.2 ± 2.8 | 2.2 ± 0.8 | – |
| off-pump | 67.3 ± 7.7 | 77 (87%) | 65 (78%) | 19 (23%) | 60 (71%) | – | 10 (12%) | 0 (0%) | 13 (15%) | 9 (11%) | – | <50% 29 (34%) | 7.1 ± 2.5 | 2 ± 0.8 | – | |
| Czerny et al. ( | on-pump | 67.1 ± 7.7 | – | – | – | – | – | – | – | – | – | – | 57 ± 11 | 6.1 ± 2.7 | – | 11.1 ± 5.7 |
| off-pump | 66.9 ± 8.9 | – | – | – | – | – | – | – | – | – | – | 53 ± 14 | 6.7 ± 2.9 | – | 12 ± 4.9 | |
| D'Ancona et al. ( | on-pump | 65.5 (37–85) | 246 (80.1%) | – | 82 (26.7%) | 229 (74.6) | – | 73 (23.8) | 1 (0.3%) | – | 32 (10.4%) | 21 (6.8%) | 47.8 (10–76) | – | – | – |
| off-pump | 66.8 (41–85) | 209 (76.3%) | – | 60 (21.9%) | 213 (77.7) | – | 80 (29.2) | 6 (2.2%) | – | 27 (9.9) | 28 (10.2%) | 47 (13–84) | – | – | – | |
| Dewey et al. ( | on-pump | 64.4 ± 9.78 | – | – | – | 184 (66%) | – | – | 2 (0.7%) | – | 26 (9.3%) | 34 (12.2%) | – | – | – | – |
| off-pump | 64.8 ± 10.7 | – | – | – | 92 (60.1%) | – | – | 2 (1.3%) | – | 18 (11.8%) | 19 (12.4%) | – | – | – | – | |
| Dohi et al. ( | on-pump | 68.7 ± 9.4 | 166 (83%) | 105 (52.5%) | 93 (46.5%) | 160 (80%) | 122 (61%) | 5 (2.5%) | 51 (25.5%) | 37 (18.5%) | 21 (10.5%) | 33 (16.5%) | ≤ 60% 64% <30% 8% | – | – | – |
| off-pump | 68.1 ± 9.3 | 156 (78%) | 108 (54%) | 94 (47%) | 144 (72%) | 121 (60.5%) | 4 (2%) | 53 (26.5%) | 38 (19%) | 27 (13.5%) | 33 (16.5%) | ≤ 60% 74% <30% 10% | – | – | – | |
| Iscan ( | on-pump | 61.3 ± 5 | 67 (82.7%) | 31 (40.3%) | 24 (31.2%) | 39 (50.7%) | 35 (45.6%) | 8 (10.4%) | 8 (10.4%) | 4 (5.2%) | – | – | – | – | – | – |
| off-pump | 57.4 ± 7.3 | 26 (81.3%) | 12 (38.7%) | 10 (32.3%) | 14 (45.2%) | 13 (42%) | 4 (12.9%) | 6 (19.4%) | 2 (6.6%) | – | – | – | – | – | – | |
| Kara et al. ( | on-pump | 58.11 ± 8.11 | 46 (86.8%) | 30 (56.6%) | 14 (26.4%) | 47 (88.7%) | 23 (43.4%) | – | – | 5 (9.4%) | 5 (9.4%) | – | 30%−50% 18 (34%) <30% 13 (24.5%) | – | – | 7.34 ± 5.54 |
| off-pump | 59.08 ± 9.51 | 45 (86.5%) | 35 (67.3%) | 10 (19.2%) | 48 (92.3%) | 21 (40.4%) | – | – | 10 (19.2%) | 2 (3.8%) | – | 30%−50% 16 (30.8%) <30% 17 (32.7%) | – | – | 8.27 ± 5.27 | |
| Mishra et al. ( | on-pump | 61.2 ± 6.1 | 183 (88.8%) | 35 (17%) | 64 (31.1%) | 108 (52.4%) | – | 17 (8.2%) | 3 (1.4%) | 7 (3.4%) | 5 (2.4%) | 10 (4.9%) | 43.1 ± 6.6 | – | – | 6.58 ± 1.17 |
| off-pump | 60.4 ± 5.8 | 296 (89.2%) | 55 (16.6%) | 108 (32.5%) | 159 (47.9%) | – | 25 (7.5%) | 5 (1.5%) | 19 (5.7%) | 12 (3.6%) | 23 (6.9%) | 42.6 ± 6.8 | – | – | 7.42 ± 1.42 | |
| Morris et al. ( | on-pump | 66.2 ± 9.4 | 545 (85.3%) | 155 (24.2%) | 203 (31.8%) | – | – | 96 (15%) | 38 (5.9%) | U/A | 203 (31.8%) | 111 (17.4%) | 46.1 ± 12.3 | – | 3.7 ± 0.7 | – |
| off-pump | 67.5 ± 10.3 | 104 (78.8) | 64 (48.5%) | 52 (39.4%) | – | – | 30 (22.7%) | 15 (11.4%) | U/A | 52 (39.4%) | 37 (28%) | 45 ± 13 | – | 3.5 ± 0.9 | – | |
| Ramlawi et al. ( | on-pump | 67 (60–74) | – | – | 73 (36%) | 190 (93%) | – | – | 6 (3%) | 30 (14.7%) | 33 (16%) | 28 (14%) | 55 (40–60) | – | 2 (2, 3) | – |
| off-pump | 67 (62–76) | – | – | 30 (48%) | 60 (97%) | – | – | 4 (6.5%) | 10 (16%) | 19 (31%) | 8 (13%) | 50 (35–60%) | – | 2 (1, 2) | – | |
| Rufa et al. ( | on-pump | 71.05 ± 5.86 | 90 (83%) | – | 39 (36%) | – | – | 7 (6.5%) | 12 (11%) | 9 (8.3%) | 10 (9.3%) | – | 30–50% 33 (30.6%) | 8.8 ± 3.52 | – | – |
| off-pump | 71.29 ± 7.39 | 86 (80%) | – | 32 (30%) | – | – | 6 (5.6%) | 16 (15%) | 14 (13%) | 12 (11%) | – | 30–50% 30 (27.8%) | 9.21 ± 3.2 | – | – | |
| Schutz et al. ( | on-pump | 67.1 ± 6.6 | 18 (90%) | 9 (45%) | 5 (25%) | 12 (60%) | 13 (65%) | – | – | – | – | – | 48.2 ± 15.3 | – | – | – |
| off-pump | 63.2 ± 9.3 | 15 (75%) | 6 (30%) | 2 (10%) | 14 (70%) | 11 (55%) | – | – | – | – | – | 52.8 ± 13.9 | – | – | – | |
| Shapira et al. ( | on-pump | 67 ± 9 | 12 (85.7%) | 4 (29%) | 7 (50%) | 11 (79%) | – | – | – | 5 (36%) | 5 (36%) | – | 43 ± 13 | – | – | – |
| off-pump | 65 ± 8 | 14 (77.8%) | 7 (39%) | 7 (39%) | 17 (94%) | – | – | – | 6 (33%) | 6 (33%) | – | 46 ± 15 | – | – | – | |
| Shin et al. ( | on-pump | 64.3 ± 8.1 | 9 (64.2%) | 5 (35.7%) | 4 (28.6%) | 12 (85.7%) | 4 (28.6%) | – | 1 (7.1%) | 0 | 1 (7.1%) | – | EF <35% 3 (21.4%) | 8.5 ± 2.4 | – | – |
| off-pump | 65.5 ± 7.2 | 12 (66.7%) | 5 (27.8%) | 8 (44.4) | 10 (55.6%) | 5 (27.8%) | – | 1 (5.6%) | 4 (24.3%) | 3 (16.7%) | – | EF <35% 2 (11.1%) | 7.4 ± 2.0 | – | – | |
| Stamou et al. ( | on-pump | 65 ± 9 | 25 (61%) | – | – | – | – | – | – | – | – | – | EF <35% 18 (44%) | – | – | – |
| off-pump | 65 ± 10 | 66 (72%) | – | – | – | – | – | – | – | – | – | EF <35% 39 (43%) | – | – | – | |
| Teodori et al. ( | on-pump | 62.7 ± 8.6 | 100 (89.3%) | – | – | – | – | – | – | 18 (16.1%) | 10 (8.9%) | 1 (0.9%) | – | – | – | 9.38 ± 5 |
| off-pump | 64.7 ± 8.5 | 48 (88.9%) | – | – | – | – | – | – | 7 (12.9%) | 1 (1.8%) | 2 (3.7%) | – | – | – | 10 ± 4.7 | |
| Tugtekin et al. ( | on-pump | 66 ± 8.1 | 132 (82.5%) | – | 59 (36.8%) | – | – | 10 (6.2%) | – | 26 (16.3%) | – | – | 55 ± 16.2% | – | – | 7.99 ± 4.9 |
| off-pump | 66.9 ± 7.9 | 28 (53.8%) | – | 12 (34.3%) | – | – | 2 (5.7%) | – | 7 (20%) | – | – | 52 ± 14.4% | – | – | 7.93 ± 5.0 | |
| Usta et al. ( | on-pump | 71 ± 9 | 36 (90%) | 61 ± 5% | 16 (40%) | 38 (95%) | – | – | – | – | – | – | – | – | – | 11.58 ± 5.3 |
| off-pump | 72 ± 10 | 32 (80%) | 65 ± 48% | 17 (43%) | 40 (100%) | – | – | – | – | – | – | – | – | – | 11.67 ± 5.7 | |
| Vohra et al. ( | on-pump | 64.7 ± 7.7 | 38 (88.3%) | U/A | 14 (32.5%) | 34 (79%) | 36 (83.7%) | 5 (11.6%) | 1 (2.3%) | 4 (9.3%) | – | – | EF <30% 14 (32.5%) | 5 ± 3.4 | – | – |
| off-pump | 65.7 ± 6.9 | 41 (95.3%) | – | 10 (23.2%) | 27 (62.8%) | 39 (90.7%) | 4 (9.3%) | 1 (2.3%) | 4 (9.3%) | – | – | EF <30% 19 (44.1%) | 5 ± 4.7 | – | – | |
| Wu et al. ( | on-pump | 60.4 ± 8.79 | 32 (80%) | 15 (37.5%) | 21 (52.5%) | 23 (57.5%) | 28 (70%) | 2 (5%) | 1 (2.5%) | 8 (20%) | 2 (5%) | – | 49 ± 26 | – | – | – |
| off-pump | 62 ± 7.38 | 29 (72.5%) | 20 (50%) | 18 (45%) | 19 (47.5%) | 31 (77.5%) | 10 (25%) | 9 (22.5%) | 11 (27.5%) | 1 (2.5%) | – | 43 ± 10 | – | – | – |
DM, diabetes mellitus; HTN, hypertension; PAD, peripheral artery disease; CVD, cerebral vascular disease; HF, heart failure; EF, ejection fraction.
Figure 7Forest plot for early mortality.
Figure 8Forest plot for mid-term mortality.
Figure 9Forest plot for long-term mortality.
Figure 10Forest plot for total revascularization rate.
Figure 11Forest plot for perioperative neurological events.