| Literature DB >> 33367207 |
Giovanni Filardo1,2,3,4, Benjamin D Pollock2, Briget da Graca3,5, Danielle M Sass2, Teresa K Phan2, Debbie E Montenegro2, Gorav Ailawadi6, Vinod H Thourani7, Ralph J Damiano8.
Abstract
OBJECTIVE: To investigate the impact of limiting the definition of post-coronary artery bypass graft (CABG) atrial fibrillation (AF) to AF/flutter requiring treatment-as in the Society of Thoracic Surgeons' (STS) database- on the association with survival. PATIENTS AND METHODS: We assessed in-hospital incidence of post-CABG AF in 7110 consecutive isolated patients with CABG without preoperative AF at 4 hospitals (January 1, 2004 to December 31, 2010). Patients with ≥1 episode of post-CABG AF detected via continuous in-hospital electrocardiogram (ECG)/telemetry monitoring documented by physicians were assigned to the following: Group 1, identified as having post-CABG AF in STS data and Group 2, not identified as having post-CABG AF in STS data. Patients without documented post-CABG AF constituted Group 3. Survival was compared via a Cox model, adjusted for STS risk of mortality and accounting for site differences.Entities:
Keywords: AF, atrial fibrillation; CABG, coronary artery bypass graft’; CI, confidence interval; ECG, electrocardiogram; HR, hazard ratio; STS, Society of Thoracic Surgeons
Year: 2020 PMID: 33367207 PMCID: PMC7749274 DOI: 10.1016/j.mayocpiqo.2020.07.012
Source DB: PubMed Journal: Mayo Clin Proc Innov Qual Outcomes ISSN: 2542-4548
Patient Characteristics by Development of New-Onset Atrial Fibrillation (AF) per STS Definition or Physician-Assessed AF Not Captured by the STS Data
| Characteristic: | No AF | STS AF | AF missed by STS |
|---|---|---|---|
| Study site | |||
| Baylor | 2644 (54.5%) | 1053 (57.2%) | 244 (57.8%) |
| Emory | 1724 (35.6%) | 449 (24.4%) | 124 (29.4%) |
| Washington University | 479 (9.9%) | 339 (18.4%) | 54 (12.8%) |
| Age | 61.1±10.6 | 67.6±9.4 | 65.8±10.1 |
| Body mass index (kg/m2) | 29.5±5.9 | 29.6±6.9 | 30.0±6.4 |
| Male | 3472 (71.6%) | 1398 (75.9%) | 293 (69.4%) |
| Female | 1375 (28.4%) | 443 (24.1%) | 129 (30.6%) |
| Race | |||
| White | 3543 (75.1%) | 1553 (84.4%) | 326 (77.3%) |
| Black | 823 (17.0%) | 171 (9.3%) | 65 (15.4%) |
| Hispanic | 239 (4.9%) | 65 (3.5%) | 14 (3.3%) |
| Asian | 124 (2.6%) | 30 (1.6%) | 5 (1.2%) |
| Other | 118 (2.4%) | 22 (1.2%) | 12 (2.8%) |
| Diabetes mellitus | 1997 (41.2%) | 754 (41.0%) | 201 (47.6%) |
| Renal failure | 136 (2.8%) | 57 (3.1%) | 20 (4.7%) |
| Creatinine (mg/dL) | 1.0 (0.8, 1.2) | 1.0 (0.9, 1.3) | 1.0 (.9, 1.3) |
| Chronic lung disease | 981 (20.2%) | 467 (25.4%) | 91 (21.6%) |
| Systemic hypertension | 4230 (87.3%) | 1617 (87.8%) | 370 (87.7%) |
| Peripheral vascular disease | 873 (18.0%) | 460 (25.0%) | 86 (20.4%) |
| Cerebrovascular disease | 768 (15.8%) | 376 (20.4%) | 88 (20.9%) |
| Time from last myocardial infarction to surgery | |||
| No myocardial infarction | 2709 (55.9%) | 962 (52.3%) | 195 (46.2%) |
| ≤6 hours | 37 (0.8%) | 19 (1.0%) | 8 (1.9%) |
| >6 but <24 hours | 96 (2.0%) | 36 (2.0%) | 15 (3.6%) |
| ≥24 hours | 2005 (41.3%) | 824 (44.7%) | 204 (48.3%) |
| Current smoker | 1503 (31.0%) | 421 (22.9%) | 117 (27.7%) |
| Congestive heart failure | 966 (19.9%) | 456 (24.8%) | 119 (28.2%) |
| Previous PCI | 1424 (29.4%) | 553 (30.0%) | 139 (32.9%) |
| Previous coronary bypass | 264 (5.5%) | 96 (5.2%) | 31 (7.4%) |
| Previous valve surgery | 116 (2.4%) | 63 (3.4%) | 18 (4.3%) |
| Preoperative angina pectoris | 3051 (63.0%) | 1126 (61.2%) | 253 (60.0%) |
| Preoperative ejection fraction (%) | 49.7±12.9 | 48.9±13.7 | 47.8±14.6 |
| Left main disease | 1309 (27.0%) | 581 (31.6%) | 130 (30.8%) |
| Operation | |||
| Elective | 2802 (57.8%) | 1098 (59.6%) | 242 (57.4%) |
| Nonelective | 2045 (42.2%) | 743 (40.4%) | 180 (42.6%) |
| Off-pump | 2302 (47.6%) | 712 (38.7%) | 173 (41.1%) |
| On-pump | 2536 (52.4%) | 1127 (61.3%) | 248 (58.9%) |
| Preoperative IABP | 519 (10.7%) | 289 (15.7%) | 87 (20.6%) |
IABP = intra-aortic balloon pump; PCI = percutaneous coronary intervention.
Patients identified as having postcoronary artery bypass graft (CABG) atrial fibrillation (AF), according to the Society of Thoracic Surgeons (STS) data/definition (“atrial fibrillation/flutter requiring treatment”).
AF = patients who had at least 1 episode of post-CABG AF detected via continuous in-hospital ECG/ telemetry monitoring and documented by a physician in the chart, regardless of duration or need for treatment, but not identified within the STS data as having AF under the STS definition.
Two Baylor sites participated: 1 academic medical center and 1 high-volume specialty cardiac hospital.
Mean ± standard deviation.
Median (interquartile range [IQR]).
FigureAdjusted (Society for Thoracic Surgeons [STS] risk of mortality) survival curves, hazard ratios (HRs) (95% confidence intervals [CIs]), and P value comparing patients experiencing new-onset postcoronary artery bypass graft (CABG) atrial fibrillation (AF), according to whether the AF events were captured by the STS data and definition. See Appendix A (available online at http://www.mayoclinicproceedings.org) for confidence intervals. ∗Patients identified as having post-CABG AF according to the STS data, which applies the definition “atrial fibrillation/flutter requiring treatment,” Version 2.61. ∗∗ Patients identified as having post-CABG AF detected via continuous in-hospital ECG/telemetry monitoring and documented by a physician in the chart, but were not identified as having AF in the STS data. REF, reference