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Research

Cost-effectiveness of antithrombotic agents for atrial fibrillation in older adults at risk for falls: a mathematical modelling study

Eric K.C. Wong, Christina Belza, David M.J. Naimark, Sharon E. Straus and Harindra C. Wijeysundera
November 06, 2020 8 (4) E706-E714; DOI: https://doi.org/10.9778/cmajo.20200107
Eric K.C. Wong
Knowledge Translation Program (Wong, Straus), Li Ka Shing Knowledge Institute, St. Michael’s Hospital; Institute for Health Policy Management and Evaluation (Wong, Belza, Naimark, Straus, Wijeysundera), Dalla Lana School of Public Health, Division of Nephrology (Naimark), Sunnybrook Health Sciences Centre and Division of Cardiology and Cardiac Surgery (Wijeysundera), Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont.
MD
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Christina Belza
Knowledge Translation Program (Wong, Straus), Li Ka Shing Knowledge Institute, St. Michael’s Hospital; Institute for Health Policy Management and Evaluation (Wong, Belza, Naimark, Straus, Wijeysundera), Dalla Lana School of Public Health, Division of Nephrology (Naimark), Sunnybrook Health Sciences Centre and Division of Cardiology and Cardiac Surgery (Wijeysundera), Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont.
MN
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David M.J. Naimark
Knowledge Translation Program (Wong, Straus), Li Ka Shing Knowledge Institute, St. Michael’s Hospital; Institute for Health Policy Management and Evaluation (Wong, Belza, Naimark, Straus, Wijeysundera), Dalla Lana School of Public Health, Division of Nephrology (Naimark), Sunnybrook Health Sciences Centre and Division of Cardiology and Cardiac Surgery (Wijeysundera), Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont.
MD MSc
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Sharon E. Straus
Knowledge Translation Program (Wong, Straus), Li Ka Shing Knowledge Institute, St. Michael’s Hospital; Institute for Health Policy Management and Evaluation (Wong, Belza, Naimark, Straus, Wijeysundera), Dalla Lana School of Public Health, Division of Nephrology (Naimark), Sunnybrook Health Sciences Centre and Division of Cardiology and Cardiac Surgery (Wijeysundera), Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont.
MD MSc
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Harindra C. Wijeysundera
Knowledge Translation Program (Wong, Straus), Li Ka Shing Knowledge Institute, St. Michael’s Hospital; Institute for Health Policy Management and Evaluation (Wong, Belza, Naimark, Straus, Wijeysundera), Dalla Lana School of Public Health, Division of Nephrology (Naimark), Sunnybrook Health Sciences Centre and Division of Cardiology and Cardiac Surgery (Wijeysundera), Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont.
MD PhD
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Figures

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  • Figure 1:
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    Figure 1:

    Average cost-effectiveness plane. Medications that were lower in cost and higher in effectiveness were more cost-effective. Warfarin was dominated by extension (beige line) by the combination of apixaban and acetylsalicylic acid (ASA). Note: QALY = quality-adjusted life year.

  • Figure 2:
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    Figure 2:

    Cost-effectiveness acceptability curve for all antithrombotics. The proportion of model iterations in which the drug was most cost-effective reflects residual uncertainty in the model results. Note: ASA = acetylsalicylic acid, QALY = quality-adjusted life year.

Tables

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    Table 1:

    Baseline characteristics simulated in the health state transition model

    CharacteristicValue
    Age, mean ± SD, yr78.3 ± 5.1
    Female sex, %51
    HAS-BLED†
    CHADS*Low < 3High ≥ 3
    Low < 30.580.19
    High ≥ 30.120.11
    • Note: CHADS = congestive heart failure, hypertension, age ≥ 75 yr, diabetes, stroke; HAS-BLED = hypertension, abnormal renal and liver function, stroke, bleeding, labile international normalized ratio, elderly (age > 65 yr), drugs or alcohol (≥ 8 drinks/wk); SD = standard deviation.

    • ↵* Stroke risk score.

    • ↵† Bleeding risk score.

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    Table 2:

    Probabilities, costs and utilities for the decision model

    VariableEstimate (range)Distribution
    Probability
    First fall0.32 (0.27 to 0.37)β (14)
    Subsequent fall0.58 (0.39 to 0.97)β (14)
    HR bleed after a fall1.39 (1.05 to 1.84)Lognormal (24)
    Any bleed
     HAS-BLED score high, annual0.166 (0.111 to 0.221)β (13)
     HAS-BLED score low, annual0.091 (0.061 to 0.121)β (13)
    Major bleed given any bleed0.31 (0.25 to 0.46)β (25)
    Intracranial bleed given major bleed0.21 (0.14 to 0.28)β (26)
    Bed-bound after intracranial bleed (modified Rankin Scale score ≥ 5)0.176 (0.117 to 0.235)β (27)
    Any stroke
     High CHADS score0.037 (0.025 to 0.049)Lognormal (28)
     Low CHADS score0.083 (0.055 to 0.111)Lognormal (28)
    Major stroke given stroke0.41 (0.20 to 0.61)β (29)
    Bed-bound after major stroke (modified Rankin Scale score ≥ 5)0.176 (0.117 to 0.235)β (30)
    OR death due to atrial fibrillation1.6 (1.2 to 2.2)Lognormal (31)
    HR death after major stroke5.29 (3.53 to 7.93)Lognormal (32)
    HR death after major bleed3.35 (2.12 to 5.27)Lognormal (32)
    HR death given bed-bound3.81 (3.37 to 4.31)Lognormal (33)
    Cost*
    Fall, single event7286.01 (5464.51 to 9107.51)γ (34)
    Major bleed, initial event5358.98 (3572.64 to 7145.28)γ (35)
    Major bleed, monthly6942.54 (4627.99 to 9255.99)γ (35)
    Minor bleed, single event84.38 (55.89 to 111.78)γ (35)
    Major stroke, initial event7227.47 (3613.74 to 14 441.79)γ (35)
    Major stroke, monthly6476.51 (4384.7 to 8768.31)γ (35)
    Minor stroke, single event3613.74 (500.15 to 7227.47)γ (35)
    Bed-bound (long-term care assumed)4304.91 (2869.94 to 5739.88)γ (36)
    Utility/disutility
    Atrial fibrillation0.95 (0.93 to 0.98)β (37)
    Fall, per event†−0.11 (−0.08 to 0.14)β (38)
    Major bleed, long-term0.60 (0.40 to 0.80)β (39)
    Minor bleed, 1 mo†−0.13 (−0.08 to −0.13)β (39)
    Major stroke, first year0.26 (0.20 to 0.50)β (39)
    Major stroke, long-term0.71 (0.40 to 0.96)β (39)
    Minor stroke, first year†−0.25 (−0.15 to −0.25)β (39)
    Bed-bound (modified Rankin Scale score ≥ 5)0.14 (−0.01 to 0.29)β (37)
    • Note: CHADS = congestive heart failure, hypertension, age ≥ 75 yr, diabetes, stroke; HAS-BLED = hypertension, abnormal renal and liver function, stroke, bleeding, labile international normalized ratio, elderly (age > 65), drugs or alcohol (≥ 8 drinks/wk); HR = hazard ratio; OR = odds ratio.

    • ↵* In 2018 Canadian dollars.

    • ↵† Disutilities.

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    Table 3:

    Efficacy and cost variables for antithrombotic medications compared to warfarin

    MedicationEvent; OR (95% CI)Cost per month, $*
    Any bleedAny strokeDeath
    Acetylsalicylic acid (9)0.59 (0.45 to 0.77)1.88 (1.40 to 2.51)1.04 (0.88 to 1.33)1.02
    Apixaban (9)0.67 (0.60 to 0.75)0.79 (0.66 to 0.94)0.88 (0.79 to 0.98)98.02
    Dabigatran, 150 mg (9)1.56 (0.50 to 5.74)0.65 (0.52 to 0.81)0.88 (0.77 to 1.01)100.32
    Dabigatran, 110 mg (9)0.80 (0.69 to 0.93)0.90 (0.74 to 1.10)0.91 (0.80 to 1.04)100.32
    Edoxaban, 60 mg (9)0.84 (0.77 to 0.90)0.86 (0.74 to 1.01)0.86 (0.82 to 1.01)85.20
    Edoxaban, 30 mg (9)0.59 (0.54 to 0.64)1.13 (0.97 to 1.32)0.86 (0.78 to 0.96)85.20
    Rivaroxaban (9)1.03 (0.95 to 1.11)0.88 (0.74 to 1.03)0.83 (0.69 to 1.00)86.10
    Warfarin1.001.001.0039.45‡
    Off medication†0.77 (0.34 to 1.20)1.47 (1.29 to 1.65)3.03 (2.79 to 3.27)–
    • Note: CI = confidence interval, OR = odds ratio.

    • ↵* In 2018 Canadian dollars.

    • ↵† Relative risk (95% CI). (3)

    • ↵‡ Including cost of monitoring therapy. (41)

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    Table 4:

    Cost-effectiveness of the antithrombotic medications

    DrugMean (95% credible interval)Cost-effectiveness†
    Cost, $*Δ CostQALYΔ QALYICER
    Acetylsalicylic acid83 834 (83 427 to 84 241)–4.89 (4.88 to 4.90)–––
    Warfarin88 704 (88 268 to 89 140)4870 (4274 to 5466)5.11 (5.10 to 5.12)0.21 (0.21 to 0.23)–Dominated by extension
    Apixaban, 5 mg92 056 (91 639 to 92 473)3352 (2749 to 3955)5.86 (5.85 to 5.86)0.74 (0.74 to 0.76)8517 (7915 to 9121)Cost-effective
    Edoxaban, 30 mg93 262 (92 849 to 93 675)1206 (620 to 1792)5.80 (5.79 to 5.81)−0.06 (−0.07 to −0.05)–Absolutely dominated
    Dabigatran, 110 mg94 670 (94 234 to 95 106)2614 (2011 to 3217)5.56 (5.56 to 5.57)−0.29 (−0.30 to −0.28)–Absolutely dominated
    Edoxaban, 60 mg97 929 (97 479 to 98 379)5872 (5260 to 6486)5.68 (5.68 to 5.69)−0.17 (−0.18 to −0.16)–Absolutely dominated
    Rivaroxaban, 20 mg107 425 (106 892 to 107 958)15 369 (14 692 to 16 046)5.57 (5.56 to 5.57)−0.29 (−0.30 to −0.28)–Absolutely dominated
    Dabigatran, 150 mg114 818 (114 159 to 115 477)22 761 (21 982 to 23 542)5.05 (5.04 to 5.06)−0.80 (−0.82 to −0.79)–Absolutely dominated
    • Note: ICER = incremental cost-effectiveness ratio, QALY = quality-adjusted life year.

    • ↵* In 2018 Canadian dollars.

    • ↵† Warfarin is dominated by extension by the combination of acetylsalicylic acid and apixaban, whereas edoxaban, rivaroxaban and dabigatran are absolutely dominated by apixaban.

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    Table 5:

    Life years and secondary outcomes from the model

    DrugMean (95% credible interval)
    Life years*Life expectancy, yrMajor stroke, cumulative %Major bleed, cumulative %Time off medication per patient, moBed-bound, cumulative %
    Acetylsalicylic acid6.25 (6.24 to 6.26)84.4 (84.4 to 84.5)26.9 (26.7 to 27.0)14.2 (14.1 to 14.2)1.12 (1.12 to 1.13)5.2 (5.2 to 5.3)
    Warfarin6.61 (6.60 to 6.62)84.7 (84.7 to 84.7)14.4 (14.4 to 14.5)25.5 (25.4 to 25.5)2.04 (2.03 to 2.04)3.2 (3.2 to 3.2)
    Apixaban, 5 mg7.36 (7.35 to 7.37)85.5 (85.5 to 85.5)12.9 (12.9 to 13.1)19.4 (19.4 to 19.5)1.57 (1.56 to 1.57)2.7 (2.7 to 2.7)
    Edoxaban, 30 mg7.30 (7.29 to 7.30)85.4 (85.4 to 85.4)18.4 (18.4 to 18.5)16.5 (16.5 to 16.6)1.32 (1.32 to 1.33)4.0 (4.0 to 4.0)
    Dabigatran, 110 mg7.09 (7.09 to 7.10)85.2 (85.2 to 85.2)14.1 (14.1 to 14.2)21.9 (21.9 to 22.0)1.77 (1.76 to 1.77)3.0 (3.0 to 3.0)
    Edoxaban, 60 mg7.28 (7.28 to 7.29)85.4 (85.4 to 85.4)13.8 (13.8 to 13.9)23.6 (23.6 to 29.3)1.91 (1.90 to 1.91)2.9 (2.9 to 2.9)
    Rivaroxaban, 20 mg7.30 (7.29 to 7.31)85.4 (85.4 to 85.4)14.1 (14.1 to 14.3)29.2 (29.2 to 29.3)2.36 (2.35 to 2.37)3.0 (3.0 to 3.0)
    Dabigatran, 150 mg6.91 (6.90 to 6.92)85.0 (84.9 to 85.0)9.8 (9.7 to 9.8)42.7 (42.5 to 43.0)3.45 (3.43 to 3.47)2.3 (2.2 to 2.3)
    • ↵* Not adjusted for utility.

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Cost-effectiveness of antithrombotic agents for atrial fibrillation in older adults at risk for falls: a mathematical modelling study
Eric K.C. Wong, Christina Belza, David M.J. Naimark, Sharon E. Straus, Harindra C. Wijeysundera
Oct 2020, 8 (4) E706-E714; DOI: 10.9778/cmajo.20200107

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Cost-effectiveness of antithrombotic agents for atrial fibrillation in older adults at risk for falls: a mathematical modelling study
Eric K.C. Wong, Christina Belza, David M.J. Naimark, Sharon E. Straus, Harindra C. Wijeysundera
Oct 2020, 8 (4) E706-E714; DOI: 10.9778/cmajo.20200107
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