| Literature DB >> 35665262 |
Xuyang Liu1, Shenghui Feng2, Zhuohui Chen3, Yue Zhou4, Kang Yin5, Zhengbiao Xue5, Wengen Zhu3.
Abstract
Background: The use of anticoagulants is an established strategy to prevent stroke, embolism, and cardiovascular mortality in patients with atrial fibrillation (AF), but its role in the prevention of incident diabetes is unclear. We aimed to investigate this question by using participant data from cohort studies.Entities:
Keywords: atrial fibrillation; diabetes mellitus; meta-analysis; non-vitamin K antagonist oral anticoagulants; warfarin
Year: 2022 PMID: 35665262 PMCID: PMC9160370 DOI: 10.3389/fcvm.2022.874795
Source DB: PubMed Journal: Front Cardiovasc Med ISSN: 2297-055X
FIGURE 1Retrieval flow chart of this meta-analysis.
Main baseline characteristics of DOACs and warfarin treated patients in the included cohort studies.
| Huang et al. ( | Cheung et al. ( | Warfarin | ||||
| DOACs | Warfarin | DOACs | ||||
| Apixaban | Dabigatran | Rivaroxaban | ||||
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| Sample size, n | 4,596 | 3,452 | 3,335 | 4,210 | 2,689 | 3,454 |
| Age | 70.9 (± 12.0) | 70.6 (± 12.9) | 78.1 (± 10.8) | 74.4 (± 10.3) | 74.9 (± 10.8) | 72.9 (± 12.2) |
| Female Sex,% | 40.0 | 39.2 | 50.9 | 47.9 | 47.7 | 44.9 |
| Median follow-up duration | 2.4 year | 2.3 years | 363 (106–648) days | 363 (84–700) days | 392 (98–730) days | 222 (36–704) days |
| Data source | From Taiwan’s National Health Insurance Research Database (NHIRD) | Clinical Data Analysis and Reporting System (CDARS) managed by the Hong Kong Hospital Authority (HA) | ||||
| Country | Taiwan, China | Hong Kong, China | ||||
| Study period | 5 years | 6 years | ||||
| Outcomes | new-onset DM requiring treatment with an anti-diabetic drug | ICD-9-CM 250.xx including type 1 and type 2 diabetes or a prescription of anti-diabetic medication. | ||||
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| Congestive heart failure | 766 (31.1) | 737 (29.9) | 636 (19.1) | 576 (13.7) | 413 (15.4) | 741 (21.5) |
| Stroke | 742 (30.1) | 681 (27.6) | 706 (21.2) | 797 (18.9) | 460 (17.1) | 525 (15.2) |
| COPD | 357 (14.5) | 350 (14.2) | 304 (9.1) | 338 (8.0) | 215 (8.0) | 313 (9.1) |
| Fall | – | – | 637 (19.1) | 617 (14.7) | 420 (15.6) | 566 (16.4) |
| Fracture | – | – | 299 (9.0) | 282 (6.7) | 214 (8.0) | 251 (7.3) |
| Chronic liver disease/liver cirrhosis | 55 (2.2) | 56 (2.3) | 16 (0.5) | 14 (0.3) | 4 (0.1) | 23 (0.7) |
| Osteoporosis | – | – | 65 (1.9) | 51 (1.2) | 41 (1.5) | 37 (1.1) |
| Rheumatoid arthritis | 20 (0.8) | 22 (0.9) | 39 (1.2) | 36 (0.9) | 22 (0.8) | 29 (0.8) |
| Chronic kidney disease | 292 (11.9) | 280 (11.4) | 79 (2.4) | 42 (1.0) | 49 (1.8) | 187 (5.4) |
| Hypertension | 1,616 (65.6) | 1,619 (65.7) | – | – | – | – |
| Coronary artery disease | 821 (33.3) | 801 (32.5) | – | – | – | – |
| Hyperlipidemia | 646 (26.2) | 613 (24.9) | – | – | – | - |
| Dementia | 142 (5.8) | 136 (5.5) | – | – | – | – |
| Gout | 265 (10.8) | 251 (10.2) | – | – | – | – |
| Malignancy | 185 (7.5) | 194 (7.9) | – | – | – | – |
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| ACE inhibitors | – | – | 1,455 (43.6) | 1,529 (36.3) | 1,088 (40.5) | 1,504 (43.5) |
| Beta blockers | 1,472 (59.7) | 1,502 (60.9) | 1,959 (58.7) | 2,490 (59.1) | 1,649 (61.3) | 2,019 (58.5) |
| Proton pump inhibitors | – | – | 1,396 (41.9) | 1,321 (31.4) | 877 (32.6) | 1,169 (33.8) |
| Systemic corticosteroids | – | – | 324 (9.7) | 341 (8.1) | 222 (8.3) | 377 (10.9) |
| Anti-depressants | – | – | 202 (6.1) | 199 (4.7) | 128 (4.8) | 162 (4.7) |
| Statins | 143 (5.8) | 134 (5.4) | – | – | – | – |
| Thiazides | 199 (8.1) | 191 (7.8) | – | – | – | – |
| Antipsychotics | 143 (5.8) | 141 (5.7) | – | – | – | – |
| Steroid | 143 (5.8) | 134 (5.4) | – | – | – | – |
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| 2012 | 45 (1.8) | 45 (1.8) | – | – | – | – |
| 2013 | 476 (19.3) | 476 (19.3) | – | – | – | – |
| 2014 | 593 (24.1) | 593 (24.1) | 90 (2.7) | 403 (9.6) | 371 (13.8) | 704 (20.4) |
| 2015 | 694 (28.2) | 694 (28.2) | 256 (7.7) | 578 (13.7) | 525 (19.5) | 727 (21.0) |
| 2016 | 657 (26.7) | 657 (26.7) | 486 (14.6) | 785 (18.6) | 621 (23.1) | 670 (19.4) |
| 2017 | – | – | 886 (26.6) | 1,045 (24.8) | 547 (20.3) | 630 (18.2) |
| 2018 | – | – | 1,163 (34.9) | 1,174 (27.9) | 524 (19.5) | 628 (18.2) |
| 2019 | – | – | 454 (13.6) | 225 (5.3) | 101 (3.8) | 95 (2.8) |
COPD, Chronic Obstructive Pulmonary Disease
Pooled HRs of diabetes between DOACs vs. warfarin in patients with AF.
| DOACs | Dabigatran | Rivaroxaban | Apixaban | Rivaroxaban + Apixaban | |
| Crude event rates | 6.78% vs. 7.68% | 6.73% vs. 8.49% | 8.03% vs. 8.05% | 5.38% vs. 6.14% | 6.82% vs. 7.23% |
| HRs and 95% CIs | 0.75 (0.68–0.82) | 0.76 (0.66–0.88) | 0.74 (0.64–0.86) | 0.74 (0.60–0.92) | 0.74 (0.66–0.84) |
| <0.00001 | 0.001 | 0.0001 | 0.007 | <0.00001 | |
| I2 statistic | 0% | 30% | 1% | 0% | 0% |
AF, atrial fibrillation; HR, hazard ratio; CI, confidence interval; DOACs, Direct oral anticoagulants.
FIGURE 2Comparing the primary outcomes of incident diabetes in DOACs vs. warfarin. DOACs, direct oral anticoagulants; HR, hazard ratio; CI, confidence interval; SE, standard error; IV, inverse of the variance.