| Literature DB >> 34552641 |
Anton Prem Thilak1, Devika Thacker1, Sufina Shales1, Debasis Das1, Sukanta Kumar Behera1, Arup Kumar Ghosh1, Pradeep Narayan1.
Abstract
INTRODUCTION: The optimal timing of coronary artery bypass grafting (CABG) operations in patients with recent acute myocardial infarction (AMI) remains unclear. AIM: To assess the influence of timing on post-operative outcomes in patients undergoing CABG following AMI.Entities:
Keywords: coronary artery bypass grafting; myocardial infarction; timing
Year: 2021 PMID: 34552641 PMCID: PMC8442093 DOI: 10.5114/kitp.2021.105184
Source DB: PubMed Journal: Kardiochir Torakochirurgia Pol ISSN: 1731-5530
Baseline characteristics
| Parameter | 0–7 days (n = 35) | > 7 days – 1 month (n = 1444) | > 1 – < 3 months (n = 998) | P-value |
|---|---|---|---|---|
| Males | 30 (85.7%) | 1326 (91.7%) | 908 (91.3%) | 0.407 |
| Females | 5 (14.3%) | 120 (8.3%) | 215 (8.7%) | |
| Age | 57.54 ±8.16 | 58.48 ±8.66 | 56.95 ±8.94 | < 0.001 |
| EuroSCORE | 4.74 ±1.95 | 5.41 ±2.08 | 4.24 ±2.15 | < 0.001 |
| BMI | 23.14 ±3.39 | 23.55 ±3.42 | 23.5 ±3.45 | 0.016 |
| Hypertension | 33 (94.3%) | 1172 (81.1%) | 820 (82.2%) | 0.119 |
| History of smoking | 24 (68.6%) | 1189 (82.2%) | 845(84.7%) | 0.021 |
| COPD | 2 (5.7%) | 139 (9.6%) | 71 (7.1%) | 0.079 |
| Diabetes | 14 (40%) | 689 (47.6%) | 438 (43.9%) | 0.144 |
| Hypothyroidism | 2 (5.7%) | 64 (4.4%) | 26 (2.6%) | 0.053 |
| Previous CVA | 1 (2.9%) | 21 (1.5%) | 11 (1.1%) | 0.554 |
| PVD | 2 (5.7%) | 57 (3.9%) | 36 (3.6%) | 0.771 |
| Carotid artery stenosis | 1 (2.9%) | 112(7.7%) | 75 (7.5%) | 0.555 |
| Pre-op Hct ≤ 33% | 5 (14.7%) | 216 (15.3%) | 110 (11.2%) | 0.016 |
| EF ≤ 40% | 14 (40%) | 580 (40.1%) | 355 (35.6%) | 0.072 |
Operative data
| Parameter | 0–7 days (n = 35) | > 7 days – 1 month (n = 1444) | > 1 – < 3 months (n = 998) | P-value |
|---|---|---|---|---|
| OPCAB | 29 (82.9%) | 1404 (97.2%) | 826 (82.8%) | < 0.001 |
| LIMA usage | 28 (80%) | 1159 (80.3%) | 826 (82.8%) | 0.262 |
| Left main coronary artery disease | 7 (20%) | 184(12.7%) | 85 (8.5%) | 0.001 |
| Emergency | 4 (11.4%) | 16 (1.1%) | 9 (0.9%) | < 0.001 |
Post-operative outcome
| Outcome | 0–7 days (n = 35) | > 7 days – 1 month (n = 1444) | > 1 – < 3 months (n = 998) | P-value |
|---|---|---|---|---|
| Transfusion | 30 (85.7%) | 1184 (82%) | 764 (76.6%) | 0.004 |
| Post-op arrhythmias | 4 (11.4%) | 212 (14.7%) | 123 (12.3%) | 0.237 |
| GI complication | 0 (0%) | 21 (1.5%) | 7 (0.7%) | 0.184 |
| Respiratory complications | (17.1%) | 75 (19%) | 178 (17.8%) | 0.744 |
| Tracheostomy | 0 (0%) | 34 (2.4%) | 11 (1.1%) | 0.054 |
| Renal complications | 0 (0%) | 91 (6.3%) | 21 (2.1%) | < 0.001 |
| Hospital stay | 7.4 ±1.6 | 9.8 ±5.8 | 9.4 ±4.6 | 0.003 |
| Mortality | 1 (2.9%) | 74 (5.1%) | 24 (2.4%) | 0.003 |
Figure 1Temporal relationship between timing and outcome. The group operated after 7 days and within a month had significantly higher mortality compared to other time periods
Multivariate analysis to identify the independent effect of duration between MI and CABG on outcomes
| Parameter | Coefficient | Odds ratio | 95% CI for odds ratio | ||
|---|---|---|---|---|---|
| Lower | Upper | ||||
| Transfusion | –0.171 | 0.099 | 0.843 | 0.688 | 1.032 |
| Tracheostomy | –0.395 | 0.224 | 0.674 | 0.357 | 1.273 |
| Renal | –0.731 | 0.001 | 0.482 | 0.315 | 0.735 |
| DSWI | –0.282 | 0.746 | 0.754 | 0.137 | 4.159 |
| Death | –0.517 | 0.019 | 0.596 | 0.388 | 0.917 |