The CHA2DS2-VASc Score Predicts Major Bleeding in Non-Valvular Atrial Fibrillation Patients Who Take Oral Anticoagulants
Abstract
:1. Introduction
2. Materials and Methods
2.1. Patients
2.2. Outcomes
2.3. Statistical Methods
3. Results
4. Discussion
5. Limitations
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Apixaban (n = 5843) | Rivaroxaban (n = 27,777) | Dabagatran (n = 20,079) | Warfarin (n = 19,375) | p-Value | |
---|---|---|---|---|---|
Demographics | |||||
Age (year) | 76 ± 10 | 75 ± 10 | 75 ± 10 | 71 ± 13 | <0.0001 |
Male gender | 3214 (55.01%) | 15,374 (55.35%) | 12,061 (60.07%) | 11,221 (57.91%) | <0.0001 |
CHA2DS2-VASc score | 3.89 ± 1.56 | 3.83 ± 1.57 | 3.74 ± 1.52 | 3.26 ± 1.81 | <0.0001 |
Comorbidities | |||||
Hypertension | 5055 (86.51%) | 23,766 (85.56%) | 16,863 (83.98%) | 15,099 (77.93%) | <0.0001 |
Diabetes mellitus | 2389 (40.89%) | 10,752 (38.71%) | 7647 (38.08%) | 6948 (35.86%) | <0.0001 |
PAOD | 4 (0.07%) | 19 (0.07%) | 11 (0.05%) | 16 (0.08%) | 0.7736 |
Ischemic heart disease | 733 (12.54%) | 3399 (12.24%) | 1961 (9.77%) | 2098 (10.83%) | <0.0001 |
PCI | 415 (7.1%) | 1750 (6.3%) | 916 (4.56%) | 1051 (5.42%) | <0.0001 |
CABG | 31 (0.53%) | 104 (0.37%) | 40 (0.2%) | 143 (0.74%) | <0.0001 |
Heart failure | 735 (12.58%) | 3582 (12.9%) | 2172 (10.82%) | 2699 (13.93%) | <0.0001 |
Chronic kidney disease | 1671 (28.6%) | 6786 (24.43%) | 3922 (19.53%) | 4702 (24.27%) | <0.0001 |
Chronic liver disease | 929 (15.9%) | 4421 (15.92%) | 2831 (14.1%) | 3048 (15.73%) | <0.0001 |
TIA | 167 (2.86%) | 667 (2.4%) | 573 (2.85%) | 344 (1.78%) | <0.0001 |
Stroke | 1173 (20.08%) | 5675 (20.43%) | 4778 (23.8%) | 2936 (15.15%) | <0.0001 |
History of bleeding | 113 (1.93%) | 644 (2.32%) | 415 (2.07%) | 451 (2.33%) | 0.0841 |
Medication used | |||||
NSAID | 1556 (26.63%) | 6657 (23.97%) | 4401 (21.92%) | 4792 (24.73%) | <0.0001 |
Anti-platelets | 3231 (55.3%) | 15,450 (55.62%) | 10,906 (54.32%) | 11,907 (61.46%) | <0.0001 |
H2 blocker | 1810 (30.98%) | 8175 (29.43%) | 5772 (28.75%) | 6200 (32%) | <0.0001 |
PPI | 655 (11.21%) | 2906 (10.46%) | 1654 (8.24%) | 2421 (12.5%) | <0.0001 |
Amiodarone | 1649 (28.22%) | 7370 (26.53%) | 4498 (22.4%) | 7472 (38.57%) | <0.0001 |
Beta-blocker | 3451 (59.06%) | 15,782 (56.82%) | 10,839 (53.98%) | 11,824 (61.03%) | <0.0001 |
Statin | 229 (3.92%) | 3949 (14.22%) | 4101 (20.42%) | 3322 (17.15%) | <0.0001 |
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Lee, K.-T.; Chang, S.-H.; Yeh, Y.-H.; Tu, H.-T.; Chan, Y.-H.; Kuo, C.-T.; See, L.-C. The CHA2DS2-VASc Score Predicts Major Bleeding in Non-Valvular Atrial Fibrillation Patients Who Take Oral Anticoagulants. J. Clin. Med. 2018, 7, 338. https://doi.org/10.3390/jcm7100338
Lee K-T, Chang S-H, Yeh Y-H, Tu H-T, Chan Y-H, Kuo C-T, See L-C. The CHA2DS2-VASc Score Predicts Major Bleeding in Non-Valvular Atrial Fibrillation Patients Who Take Oral Anticoagulants. Journal of Clinical Medicine. 2018; 7(10):338. https://doi.org/10.3390/jcm7100338
Chicago/Turabian StyleLee, Kuang-Tso, Shang-Hung Chang, Yung-Hsin Yeh, Hui-Tzu Tu, Yi-Hsin Chan, Chi-Tai Kuo, and Lai-Chu See. 2018. "The CHA2DS2-VASc Score Predicts Major Bleeding in Non-Valvular Atrial Fibrillation Patients Who Take Oral Anticoagulants" Journal of Clinical Medicine 7, no. 10: 338. https://doi.org/10.3390/jcm7100338
APA StyleLee, K. -T., Chang, S. -H., Yeh, Y. -H., Tu, H. -T., Chan, Y. -H., Kuo, C. -T., & See, L. -C. (2018). The CHA2DS2-VASc Score Predicts Major Bleeding in Non-Valvular Atrial Fibrillation Patients Who Take Oral Anticoagulants. Journal of Clinical Medicine, 7(10), 338. https://doi.org/10.3390/jcm7100338