| Literature DB >> 30209126 |
Christina Christersson1, Lars Wallentin1,2, Ulrika Andersson2, John H Alexander3, Marco Alings4, Raffaele De Caterina5, Bernard J Gersh6, Christopher B Granger3, Sigrun Halvorsen7, Michael Hanna8, Kurt Huber9, Elaine M Hylek10, Renato D Lopes3, Byung-Hee Oh11, Agneta Siegbahn2,12.
Abstract
OBJECTIVES: Compare the effect of apixaban and warfarin on coagulation and primary haemostasis biomarkers in atrial fibrillation (AF).Entities:
Keywords: atrial fibrillation
Mesh:
Substances:
Year: 2018 PMID: 30209126 PMCID: PMC6388910 DOI: 10.1136/heartjnl-2018-313351
Source DB: PubMed Journal: Heart ISSN: 1355-6037 Impact factor: 5.994
Baseline characteristics of the biomarkers substudy cohort
| Aixaban group | Warfarin group | Total substudy cohort | |
| Age at consent date, median (Q1, Q3) | 70.0 (63.0, 76.0) | 70.0 (62.0, 76.0) | 70.0 (63.0, 76.0) |
| Sex, female | 827 (33.4%) | 827 (34.8%) | 1654 (34.1%) |
| Sex, male | 1646 (66.6%) | 1550 (65.2%) | 3196 (65.9%) |
| AF, paroxysmal | 386 (15.6%) | 400 (16.8%) | 786 (16.2%) |
| Renal impairment, moderate/severe | 364 (14.8%) | 355 (15.0%) | 719 (14.9%) |
| Risk factors | |||
| Congestive HF/LVEF ≤40% | 872 (35.3%) | 873 (36.7%) | 1745 (36.0%) |
| Age≥75 years | 737 (29.8%) | 714 (30.0%) | 1451 (29.9%) |
| Hypertension | 2144 (86.7%) | 2091 (88.0%) | 4235 (87.3%) |
| Diabetes mellitus | 604 (24.4%) | 604 (25.4%) | 1208 (24.9%) |
| Prior stroke/SE/TIA | 431 (17.4%) | 462 (19.4%) | 893 (18.4%) |
| Prior MI | 351 (14.2%) | 313 (13.2%) | 664 (13.7%) |
| PAD | 119 (4.8%) | 110 (4.6%) | 229 (4.7%) |
| CHA2DS2-VASc score | |||
| 0–1 | 237 (9.6%) | 192 (8.1%) | 429 (8.8%) |
| 2 | 535 (21.6%) | 496 (20.9%) | 1031 (21.3%) |
| 3 | 641 (25.9%) | 652 (27.4%) | 1293 (26.7%) |
| 4 | 539 (21.8%) | 519 (21.8%) | 1058 (21.8%) |
| ≥5 | 521 (21.1%) | 518 (21.8%) | 1039 (21.4%) |
| HAS-BLED score | |||
| 0–1 | 1393 (56.3%) | 1331 (56.0%) | 2724 (56.2%) |
| 2 | 776 (31.4%) | 748 (31.5%) | 1524 (31.4%) |
| ≥3 | 304 (12.3%) | 298 (12.5%) | 602 (12.4%) |
| Medical treatment before randomisation | |||
| Aspirin | 750 (30.3%) | 674 (28.4%) | 1424 (29.4%) |
| Warfarin | 1450 (58.8%) | 1444 (60.9%) | 2894 (59.8%) |
| Biomarkers at baseline | |||
| F1+2 (pmol/L), median (Q1, Q3) (n) | 90.2 (56.5, 149.0) (2463) | 88.9 (55.5, 146.0) (2365) | 89.5 (56.1, 148.0) (4828) |
| D-dimer (µg/L), median (Q1, Q3) (n) | 462.0 (295.5, 752.0) (2464) | 452.0 (291.0, 760.0) (2366) | 456.0 (294.0, 754.0) (4830) |
| sCD40L (µg/L), median (Q1, Q3) (n) | 0.56 (0.27, 1.00) (2463) | 0.55 (0.28, 1.10) (2366) | 0.55 (0.27, 1.10) (4829) |
| vWF antigen (kIE/L), median (Q1, Q3) (n) | 1.41 (0.99, 1.87) (2461) | 1.42 (0.99, 1.88) (2364) | 1.42 (0.99, 1.88) (4825) |
N (%) are presented if not stated otherwise.
AF, atrial fibrillation; HF, heart failure; LVEF, left ventricular ejection fraction; MI, myocardial infarction; PAD, peripheral arterial occlusive disease; SE, systemic embolism; TIA, transient ischaemic attack.
Figure 1The concentrations of fragment 1+2 (F1+2) (A), D-dimer (B), soluble CD40 ligand (sCD40L) (C) and von Willebrand factor (vWF) antigen (D) in the apixabanand warfarin treatment groups stratified by warfarin (vitamin K antagonist (VKA)) status at randomisation. Boxes represent the 25th–75th percentiles with the median marked by a black line. Whiskers represent the 10th and 90th percentiles.
Biomarker concentrations at month 2, by baseline vitamin K antagonist treatment group
| Biomarker | VKA treatment before randomisation | Apixaban | Warfarin | Apixaban vs warfarin ratio geometric mean (95% CI) | Treatment difference P values | ||
| Month 2/baseline geometric mean (95% CI) | Month 2 concentration geometric mean (95% CI) | Month 2/baseline geometric mean (95% CI) | Month 2 concentration geometric mean (95% CI) | ||||
| F1+2 (pmol/L) | No (n=1939) | 0.75 (0.70 to 0.80) | 130.1 (121.8 to 138.9) | 0.41 (0.38 to 0.43) | 70.8 (66.1 to 75.8) | 1.84 (1.67 to 2.02) | <0.0001 |
| Yes (n=2879) | 1.41 (1.34 to 1.48) | 116.1 (110.5 to 122.0) | 0.63 (0.60 to 0.66) | 51.7 (49.2 to 54.4) | 2.24 (2.09 to 2.41) | <0.0001 | |
| D-dimer (µg/L) | No (n=1939) | 0.77 (0.74 to 0.80) | 488.1 (471.1 to 505.9) | 0.62 (0.60 to 0.64) | 392.6 (378.2 to 407.5) | 1.24 (1.18 to 1.31) | <0.0001 |
| Yes (n=2881) | 1.10 (1.07 to 1.12) | 461.8 (450.5 to 473.3) | 0.89 (0.86 to 0.91) | 373.0 (363.9 to 382.3) | 1.24 (1.20 to 1.28) | <0.0001 | |
| sCD40L (µg/L) | No (n=1939) | 1.09 (1.04 to 1.14) | 0.63 (0.60 to 0.66) | 1.07 (1.02 to 1.12) | 0.62 (0.59 to 0.65) | 1.02 (0.95 to 1.09) | 0.5531 |
| Yes (n=2880) | 1.05 (1.01 to 1.09) | 0.55 (0.53 to 0.58) | 1.07 (1.03 to 1.11) | 0.56 (0.54 to 0.59) | 0.98 (0.93 to 1.03) | 0.4931 | |
| vWF antigen (kIE/L) | No (n=1938) | 0.80 (0.77 to 0.84) | 1.01 (0.97 to 1.05) | 0.83 (0.80 to 0.87) | 1.05 (1.01 to 1.09) | 0.96 (0.91 to 1.02) | 0.1884 |
| Yes (n=2877) | 0.82 (0.79 to 0.84) | 1.08 (1.04 to 1.11) | 0.85 (0.82 to 0.87) | 1.12 (1.09 to 1.15) | 0.96 (0.92 to 1.01) | 0.0843 | |
Randomised treatment groups were compared by VKA treatment group using a linear regression model with the logarithm of the month 2 biomarker concentration as dependent variable and the logarithm of baseline biomarker concentration and randomised treatment as independent variables. Model-adjusted estimates are presented as geometric means and treatment group differences as ratios of geometric means.
F1+2, fragment 1+2; sCD40L, soluble CD40 ligand; VKA, vitamin K antagonist; vWF, von Willebrand factor.
Figure 2Efficacy of apixaban relative to warfarin for fragment 1+2 (F1+2) and D-dimer levels at 2 months (A). Efficacy of apixaban relative warfarin for soluble CD40 ligand (sCD40L) and von Willebrand factor (vWF) levels at 2 months (B). Cox proportional hazards model with biomarker level, treatment and interaction between biomarker level and treatment as covariates. CRNM, clinically relevant non-major; SE, systemic embolism.