| Literature DB >> 35924410 |
Kellina Maduray1, Md Moneruzzaman2, Geoffrey J Changwe3, Jingquan Zhong1,4.
Abstract
Oral anticoagulation (OAC) prevents thromboembolism yet greatly increases the risk of bleeding, inciting concern among clinicians. Current guidelines lack sufficient evidence supporting long-term OAC following successful atrial fibrillation catheter ablation (CA). A literature search was performed in PubMed, Google Scholar, Medline, and Scopus to seek out studies that compare continued and discontinued anticoagulation in post-ablation Atrial fibrillation (AF) patients. Funnel plots and Egger's test examined potential bias. Via the random-effects model, summary odds ratios (OR) with 95% confidence intervals (CI) were calculated using RevMan (5.4) and STATA (17.0). Twenty studies, including 22 429 patients (13 505 off-OAC) were analyzed. Stratified CHA2DS2-VASc score ≥2 examining thromboembolic events (TE) favored OAC continuation (OR 1.86; 95% CI: 1.02-3.40; P = .04). Sensitivity analysis demonstrated this association was attenuated. The on-OAC arm had greater incidence of major bleeding (MB) (OR 0.16; 95% CI: 0.08-0.95; P < .00001), particularly intracranial hemorrhage (ICH) and gastrointestinal bleeding (GI); (OR 0.17; 95% CI: 0.08-0.36; P < .00001) and (OR 0.12; 95% CI: 0.04-0.32; P < .0001), respectively. Our findings support sustained anticoagulation in patients with a CHA2DS2-VASc score of ≥2. Due to reduced outcome robustness, physician discretion is still advised.Entities:
Keywords: Catheter ablation; atrial fibrillation; major bleeding; oral anticoagulants; thromboembolism
Mesh:
Substances:
Year: 2022 PMID: 35924410 PMCID: PMC9358599 DOI: 10.1177/10760296221118480
Source DB: PubMed Journal: Clin Appl Thromb Hemost ISSN: 1076-0296 Impact factor: 3.512
Baseline Characteristics of Included Studies.
| Author (year) country | Study design | Type of OAC | Sample size | Age (years) | Male N (%) | Mean follow up (years) | Paroxysmal AF (%) | Time of OAC discontinuation (months) | CHADS2/CHA2DS2-VASc score Off-OAC (mean) | CHADS2/CHA2DS2-VASc score On-OAC (mean) | HAS-BLED score (mean) | Blanking period (months) | Ablation energy | AF recurrence during follow-up | Quality (NOS) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.Hermida (2020) France | Prospective (Single center) | Warfarin/DOACs | 450 | 60 ± 9 | 351 (78%) | 2.5 | 242 (54%) | 3 | 0.7 ± 1.0
| 1.8 ± 1.3
| NA | 3 | Cryo | 180 (40%) | 9 |
| 2.Yang (2019) China | Prospective (Multicenter) | Warfarin/DOACs | 4512 | Off-OAC 62.8 ± 9.9 | 2864 (63.5%) | Off-OAC 2.0 ± 1.2 On-OAC 1.9 ± 1.1 | 3119 (69.1%) | 3 | 2.3 ± 1.3
| 2.7 ± 1.4
| Off-OAC 1.7 ± 0.8 | NA | RF | Off-OAC 824 | 9 |
| 3.Winkle (2013) USA | Prospective (Single center) | Warfarin/DOACs | 108 | 66.2 ± 9.0 | 68 (62.9%) | 2.8 ± 1.6 | 40 (37%) | 3 | NA | NA | NA | 3 | RF | 37 (34.2%) | 7 |
| 4.Hussein (2011) USA | Prospective (Single center) | Warfarin | 831 | 58.7 ± 9.9 | 644 (77.5%) | 4.6
| 482 (58%) | NA | NA | NA | NA | 2 | RF | 272 (32.7%) | 9 |
| 5.Hunter (2011) (UK/Australia) | Prospective (Multicenter) | Warfarin | 1273 | 58 ± 11 | 942 (74%) | 3.1 | (56%) | 3 | 0.7 ± 0. 9 (71%) | 0.9 ± 0.9 (69%) | NA | 3 | RF + Cryo | NA | 5 |
| 6.Nademanee (2008) USA | Prospective (Single center) | Warfarin | 635 | 67 ± 12 | 423 (66.5%) | 2.3 + 1.7 | 254 (40%) | 3 | NA | NA | NA | 3 | RF | 118 (18.5) | 9 |
| 7. Oral (2006) USA | Prospective (Single center) | Warfarin | 755 | 55 ± 11 | 577 (76.4%) | 2.1 ± 0.7 | 490 (64.9%) | 3 | 0 = 53% | 0 = 37% | NA | 2 | RF | 233 (30.9%) | 9 |
| 8.Yu (2020) China | Retrospective (Multicenter) | Warfarin/DOACs | 1491 | 59.6 ± 12.1 | 918 (61.6%) | 2.3 ± 1.2 | 1491 (100%) | 3 | 1.5 ± 1.4
| 2.4 ± 1.7
| NA | NA | RF | 159 (10.7%) | 9 |
| 9.Arai (2019) Japan | Retrospective (Single center) | Warfarin/DOACs | 512 | 63.4 ± 10.4 | 389 (76%) | 2.3 ± 1.4 | 278 (54%) | 3 | 1.76 ± 1.40
| 2.57 ± 1.55
| NA | 3 | RF + Cryo | 200 (39.1%) | 9 |
| 10. Kochhäuser (2017) Canada | Retrospective (Single center) | Warfarin/DOACs | 398 | 60.7
| 300(75.4%) | 1.0 ± 3.0 | 279 (70.1%) | 3 | 1 ± 1
| 2.5 ± 1.3
| NA | 3 | RF | 55 (13.8%) | 7 |
| 11.Själander (2017) Sweden | Retrospective (Multicenter) | Warfarin | 1175 | 59 ± 9.4 | 1157 (73%) | 2.6
| NA | NA | NA | NA | Off-OAC + On-OAC: 1.3 | NA | NA | NA | 9 |
| 12.Liang (2018) USA | Retrospective (Single center) | Warfarin/DOACs | 400 | 60.3 ± 9.7 | 162 (81%) | 3.6 ± 2.4 | 0 (0%) | NA | 0 or 1 = 46.5% | 0 or 1 = 77.6% | Off-OAC 1.11 | NA | NA | 298 (72.3%) | 8 |
| 13.Gallo (2016) Italy | Retrospective (Multicenter) | Warfarin | 1000 | Off-OAC 60 ± 10 | Off-OAC 361 | 5.0 ± 2.3 | 510 (51%) | 3 | 1.9 ± 0.9
| 2.4 ± 1
| NA | 2-3 | NA | 299 (29.9%) | 9 |
| 14.Riley (2014) USA | Retrospective (Single center) | Warfarin | 1990 | Off-OAC 55 ± 11 | Off-OAC 808 | 4.1 ± 2.4 | 1307 (65.7%) | NA | 0 = 53% | 0 = 34% | NA | NA | NA | NA | 8 |
| 15.Gaita (2014) USA | Retrospective (Single center) | Warfarin | 766 | 57 + 11 | 612 (79.9%) | 5
| 326 (42.6%) | 3 | ≤1 = 92% | ≤1 = 70% | Off-OAC | 3 | RF | NA | 9 |
| 16. Uhm (2014) Korea | Retrospective (Single center) | Warfarin | 608 | 57.3 ± 10.9 | 468 (77%) | 1.5 ± 1 | (75.5%) | 3 | 2.78 ± 1
| 2.82 ± 0.98 | Off-OAC 1.37 ± 0.83 | 3 | RF | NA | 9 |
| 17.Guiot (2012) USA | Retrospective (Single center) | Warfarin | 1016 | 70 ± 4 | 728 | 2.8 ± 2 | 613 (60.3%) | 3 | NA | NA | NA | 3 | RF | 290 (28.5%) | 8 |
| 18.Yagishita (2011) Japan | Retrospective (Single center) | Warfarin | 524 | 60 ± 10 | 427 (81%) | 3.6 ± 1.1 | 524 (100%) | 3 | 0 = 49% | 0 = 46% | NA | 2 | RF | 95 (22%) | 7 |
| 19.Themistoclakis (2010) USA | Retrospective (Multicenter) | Warfarin | 3355 | 57 ± 11 | 2579 (77%) | 2 + 1 | 2022 (60%) | 3-6 | 0 = 60% | 0 = 23% | NA | 3 | NA | 552 (16.6%) | 9 |
| 20. Bunch (2009) USA | Retrospective (Single center) | Warfarin | 630 | Off-OAC 59.8 ± 10.7 | Off-OAC 81 | 0.1 ± 1.0 | 325 (51.6%) | 3 | 0 = 41% | 0 = 14% 1 = 32% 2 = 25% ≥3 = 29.0% | NA | 3 | RF | NA | 7 |
Abbreviations: Cryo, cryo-balloon; CHADS2, Congestive heart failure, Hypertension, Age ≥75 years, Diabetes mellitus, previous Stroke/TIA/thromboembolism (2 points); CHA2DS2-VASc, Congestive heart failure, Hypertension, Age ≥75 years (2 points), Diabetes mellitus, previous Stroke/TIA/thromboembolism (2 points), Vascular disease, Age 65 to 74 years, Sex category; DOAC, direct oral anticoagulation; NA, data not available; NOS, Newcastle-Ottawa Scale; OAC, oral anticoagulant; RF, radiofrequency.
CHA2DS2-VASc score.
Median.
Summary of Outcomes of Included Studies.
| Study (year) sample size | Post-ablation treatment | Total embolic events | Ischemic stroke | TIA | SE | Total major bleeding events | ICH | GI | IM | Other bleeding |
|---|---|---|---|---|---|---|---|---|---|---|
| 1.Hermida (2020) | Warfarin/DOACS (375) | 4 | 3 | 0 | 1 | — | — | — | — | — |
| 450 | Off-OAC (75) | 2 | 0 | 2 | 0 | — | — | — | — | — |
| 2.Yang (2019) | DOACS (1363) | 22 | 19 (2 Fatal) | — | 3 | 9 | 4 | — | — | 5 |
| 4512 | Off-OAC (3149) | 34 | 23 | — | 11 | 12 | 3 | — | — | 9 |
| 3.Winkle (2013) | Warfarin/DOACs (48) | 1 | 0 | 0 | 1 | 9 | — | 2 | — | 7 |
| 108 | Off-OAC (60) | 0 | 0 | 0 | 0 | 0 | — | 0 | 0 | |
| 4.Hussein (2011) | Warfarin (382) | 0 | 0 | — | — | — | — | — | — | — |
| 831 | Off-OAC (449) | 1 | 1 | — | — | — | — | — | — | — |
| 5.Hunter (2011) | Warfarin (464) | 16 | — | — | — | 10 | 5 (2 Fatal) | — | — | 5 |
| 1273 | Off-OAC (809) | 4 | — | — | — | 2 | 1 | — | — | 1 |
| 6.Nademanee (2008) | Warfarin (201) | 6 | 6 | 0 | — | — | — | — | — | — |
| 635 | Off-OAC (434) | 5 | 3 | 2 | — | — | — | — | — | — |
| 7. Oral (2006) | Warfarin (357) | 2 | 1 | — | 1 | 2 | — | — | — | — |
| 755 | Off-OAC (398) | 0 | 0 | — | 0 | 0 | — | — | — | — |
| 8.Yu (2020) | Warfarin/DOACs (502) | 11 | — | — | — | 13 | — | — | — | — |
| 1491 | Off-OAC (989) | 26 | — | — | — | 11 | — | — | — | — |
| 9.Arai (2019) | Warfarin/DOACS (282) | 7 | 6 | 1 | — | 9 | 3 | 5 | 1 | — |
| 512 | Off-OAC (230) | 3 | 2 | 1 | — | 1 | 0 | 1 | 0 | — |
| 10. Kochhäuser (2017) | Warfarin/DOACs (122) | 3 | — | — | — | — | — | — | — | — |
| 398 | Off-OAC (276) | 1 | — | — | — | — | — | — | — | — |
| 11.Själander (2017) | Warfarin (815) | 5 | 5 | — | — | 3 | 3 | — | — | — |
| 1175 | Off-OAC (360) | 6 | 6 | — | — | 0 | 0 | — | — | — |
| 12.Gallo (2016) | Warfarin (500) | 5 | — | — | — | 9 | 4 | 5 | — | — |
| 1000 | Off-OAC (500) | 7 | — | — | — | 0 | 0 | 0 | — | — |
| 13.Liang (2018) | Warfarin/DOACs (226) | 4 | 3 | 1 | — | 14 | 3 | 9 | 1 | 1 |
| 400 | Off-OAC (174) | 3 | 2 | 1 | — | 0 | 0 | 0 | 0 | 0 |
| 14.Gaita (2014) | Warfarin (267) | 6 | — | — | — | 7 | 5 | 2 | — | — |
| 766 | Off-OAC (499) | 5 | — | — | — | 0 | 0 | 0 | — | — |
| 15.Uhm (2014) | Warfarin (312) | 3 | 1 | 2 | — | 2 | — | — | — | — |
| 608 | Off-OAC (296) | 1 | 1 | 0 | — | 2 | — | — | — | — |
| 16.Riley (2014) | Warfarin (959) | 8 | 2 | 6 | — | 13 (1 Fatal) | 7 | — | 1 | 5 |
| 1990 | Off-OAC (1031) | 8 | 4 | 4 | — | 1 | 1 | — | 0 | 0 |
| 17.Guiot (2012) | Warfarin (455) | 10 | — | — | — | 4 | 4 | — | — | — |
| 1016 | Off-OAC (561) | 10 | — | — | — | 0 | 0 | — | — | — |
| 18.Yagishita (2011) | Warfarin (124) | 2 | 2 | 0 | — | 2 | — | 1 | 1 | — |
| 524 | Off-OAC (400) | 1 | 0 | 1 | — | 0 | — | 0 | 0 | — |
| 19.Themistoclakis (2010) | Warfarin (663) | 3 | — | — | — | 13 | 2 | 11 | — | 1 |
| 3355 | Off OAC (2692) | 2 | — | — | — | 1 | 0 | 0 | — | 0 |
| 20.Bunch (2009) | Warfarin (507) | 5 | 4 | 0 | 1 | 2 (2 Fatal) | 1 | 1 | — | — |
| 630 | Off-OAC (123) | 0 | 0 | 0 | 0 | 0 | 0 | — | — | — |
Abbreviations: DOAC, direct oral anticoagulation; OAC, oral anticoagulants; SE, systemic embolism; TIA, transient ischemic attack.
Figure 1.Search strategy and selection according to the PRISMA statement.
Figure 2.Forest plot analysis, incidence of total thromboembolic events.
Figure 3.Forest plot analysis, incidence of thromboembolic events by CHA2DS2-VASc score stratification.
Figure 4.Forest plot analysis, incidence of major bleeding events.
Figure 5.Forest plot analysis, incidence of ICH, GI, IM and other bleeding events.