| Literature DB >> 25928276 |
Peng Zhu1,2,3, Pengyu Zhou4,5, Yong Sun6,7,8, Yilong Guo9, Mingjie Mai10, Shaoyi Zheng11.
Abstract
BACKGROUND: The concept of hybrid coronary revascularization (HCR) combines the left internal mammary artery (LIMA)-left anterior descending (LAD) graft and percutaneous coronary intervention (PCI) to non-LAD vessels. Multiple comparative studies have evaluated the safety and feasibility of HCR and coronary artery bypass grafting (CABG) for multivessel coronary artery disease (MCAD). However, the sample size of each study was small, and evidences based on single-institutional experience. The purpose of this meta-analysis was to compare the short-term outcomes of HCR with those of CABG for MCAD.Entities:
Mesh:
Year: 2015 PMID: 25928276 PMCID: PMC4433085 DOI: 10.1186/s13019-015-0262-5
Source DB: PubMed Journal: J Cardiothorac Surg ISSN: 1749-8090 Impact factor: 1.637
Newcastle-Ottawa scale used for methodological quality assessment of non-RCT
| Check list | |
|---|---|
| Selection | |
| 1、 | Assignment for treatment: any criteria reported? (if yes, 1 star) |
| 2、 | How representative was the reference group (CABG) in comparison with the general elderly population for CABG? (if yes,1 star; 0 star if the patients were selected or selection of group was not described) |
| 3、 | How representative was the treatment group (HCR) in comparison with the elderly population for CABG? (if drawn from the same community as the reference group, 1 star; 0 star if drawn from a different source or selection of group was not described) |
| Comparability | |
| 4、 | Group comparable for 1, 2, 3, 4,5 (if yes, 2 stars; one star was assigned if one of these five characteristics was not reported even if there were no other differences between the two groups and other characteristics had been controlled for; 0 star was assigned if the two groups differed) |
| 5、 | Group comparable for 6, 7, 8,9,10 (if yes, 2 stars; one star was assigned if one of these four characteristics was not reported even if there were no other differences between the two groups and other characteristics had been controlled for; 0 star was assigned if the two groups differed) |
| Outcome assessment | |
| 6、 | Clearly defined outcome of interest (yes, 1 star for information ascertained by record lincage or interview; 0 star if this information was not reported) |
| 7、 | Adequacy of follow-up (1 star if follow-up above 90%) |
Comparability variables: 1 = age; 2 = gender; 3 = diabetes; 4 = hypertension; 5 = hypercholesterolemia; 6 = history of cerebrovascular disease; 7 = previous PCI; 8 = previous MI; 9 = smoking; 10 = PVD.
Figure 1Flowchart of study identification and selection following PRISMA statement.
Main characteristics of included studies
| Study | Year | Numbers of patients (HCR/CABG) | Study design | CABG | HCR strategy | Follow-up (months) |
|---|---|---|---|---|---|---|
| Kon [ | 2007 | 15/30 | Non-RCT | OPCABG | Simultaneous | 12 |
| Zhao [ | 2008 | 112/254 | Non-RCT | On-pump | Simultaneous | NR |
| Reicher [ | 2007 | 13/26 | Non-RCT | OPCABG | Simultaneous | 14 |
| Vassiliades [ | 2009 | 91/4175 | Non-RCT | OPCABG | PCI then MICABG | 12 |
| 6.6% | ||||||
| MICABG then PCI | ||||||
| 93.4% | ||||||
| Delhaye [ | 2010 | 18/18 | Non-RCT | On-pump | CABG then PCI | 12 |
| OPCABG then PCI | ||||||
| Hu [ | 2010 | 104/104 | Non-RCT | OPCABG | Simultaneous | 18 ± 7.9 |
| Halkos [ | 2011 | 147/588 | Non-RCT | OPCABG | Mainly staged | 38.4 (median) |
| Bachinsky [ | 2012 | 25/27 | Non-RCT | OPCABG | Simultaneous | 1 |
| Leacche [ | 2012 | 80/301 | Non-RCT | OPCABG | NR | 1 |
| Popov [ | Unpublished | 18/30 | RCT | On-pump | MICABG then PCI | 1 |
Unless otherwise indicated, data are expressed as mean ± standard deviation.
PCI, percutaneous coronary intervention; OPCABG, on-pump coronary artery bypass grafting; MICABG, minimally invasive coronary artery bypass grafting; NR: not reported.
Assessment of quality of studies
| Selection | Comparability | Outcome assessment | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Author | Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | Score |
| Kon | 2007 |
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| Zhao | 2008 | - |
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| Reicher | 2007 |
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| Vassiliades | 2009 |
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| Delhaye | 2010 |
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| Hu | 2010 |
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| Halkos | 2011 |
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| Bachinsky | 2012 | - |
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| Leacche | 2012 | - |
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-:zero point, *: One point, **: Two points.
Baseline characteristics of Patients in the Studies included
| Author | Group | N | Age (y) | Male (%) | Diabetes (%) | Hypertension (%) | Previous MI (%) | History of cerebrovascular disease (%) | Smoking (%) |
|---|---|---|---|---|---|---|---|---|---|
| Kon | HCR | 15 | 61 ± 10 | 73 | 27 | 87 | 67 | 7 | 27 |
| CABG | 30 | 65 ± 10 | 63 | 40 | 80 | 57 | 0 | 33 | |
| Zhao | HCR | 112 | 63(32–85) | 71 | 39 | 82 | 17 | 8 | 68 |
| CABG | 254 | 63(32–89) | 76 | 39 | 83 | 12 | 8 | 63 | |
| Reicher | HCR | 13 | 62 ± 10 | 80 | 29 | 87 | 47 | 0 | 36 |
| CABG | 26 | 64 ± 10 | 83 | 41 | 75 | 50 | 0 | 36 | |
| Vassiliades | HCR | 91 | 65 ± 14 | 67 | 41 | 82 | 42 | 17 | 53 |
| CABG | 4175 | 63 ± 12 | 69 | 37 | 83 | 48 | 18 | 69 | |
| Delhaye | HCR | 18 | 62(55–70) | 78 | 45 | 67 | 28 | 11 | 44 |
| CABG | 18 | 60(53–68) | 78 | 39 | 78 | 17 | 0 | 39 | |
| Hu | HCR | 104 | 62 ± 10 | 11 | 25 | 60 | 34 | 9 | 56 |
| CABG | 104 | 62 ± 8 | 20 | 27 | 63 | 29 | 6 | 37 | |
| Haloks | HCR | 147 | 64 ± 13 | 62 | 60 | 87 | 17 | 20 | 42 |
| CABG | 588 | 64 ± 13 | 71 | 64 | 85 | 12 | 17 | 50 | |
| Bachinsky | HCR | 25 | 63 ± 11 | 80 | 36 | 72 | 20 | 4 | 28 |
| CABG | 27 | 67 ± 11 | 59 | 48 | 96 | 44 | 15 | 22 | |
| Leacche | HCR | 80 | 64 | 76 | 40 | 86 | 16 | 6 | NR |
| CABG | 301 | 63 | 77 | 37 | 83 | 16 | 10 | NR | |
| Popov | HCR | 18 | 60 ± 6 | 86 | 16 | 100 | NR | 14 | NR |
| CABG | 30 | 59 ± 4 | 83 | 17 | 100 | NR | 0 | NR |
Data between parentheses represent median and 25th and 75th percentiles. Data with ± symbol represent mean and SD.
Figure 2Forest plot showing a meta-analysis for HCR versus CABG during hospitalization. A. Death B. MI(Myocardial Infarction) C. Stroke D. MACCEs (Major Adverse Cardiac or Cerebrovascular Events).
Results of meta-analysis of the secondary outcome
| Outcome measures | Number of studies | Patients (HCR/CABG) | I2 (%) | Analysis model | Statistics method | OR/WMD | 95% CI | p value |
|---|---|---|---|---|---|---|---|---|
| AF | 5 | 468/1274 | 0 | Fixed | M-H | 0.93 | 0.70,1.23 | 0.60 |
| Renal Failure | 5 | 372/1191 | 0 | Fixed | M-H | 0.64 | 0.32,1.27 | 0.20 |
| Intubation Time | 3 | 132/160 | 93 | Random | IV | −9.95 | −18.58,-1.31 | 0.02 |
| LOS in ICU | 6 | 322/805 | 85 | Random | IV | −17.47 | −31.01,-3.93 | 0.01 |
| LOS in hospital | 5 | 304/775 | 82 | Random | IV | −1.77 | −3.07,-0.46 | 0.008 |
| Red Blood Cells Transfusion | 3 | 53/83 | 0 | Fixed | IV | −1.25 | −1.62,-0.88 | P<0.00001 |
OR odds ratio, WMD Weighted mean difference, M–H Mantel–Haenszel, IV inverse variance, CI confidence interval, AF atrial fibrillation, LOS in ICU lengths of stay in Intensive Care Unit, LOS in hospital lengths of stay in hospital.
Figure 3Forest plot showing a meta-analysis for HCR versus CABG at one-year of follow up. A. Death B. MI(Myocardial Infarction) C. Stroke D. TVR (Target Vessel Revascularization) E. MACCEs (Major Adverse Cardiac or Cerebrovascular Events).