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Geographic and temporal variation in the treatment and outcomes of atrial fibrillation: a population-based analysis of national quality indicators

Derek S. Chew, Flora Au, Yuan Xu, Braden J. Manns, Marcello Tonelli, Stephen B. Wilton, Brenda Hemmelgarn, Shiying Kong, Derek V. Exner and Amity E. Quinn
August 02, 2022 10 (3) E702-E713; DOI: https://doi.org/10.9778/cmajo.20210246
Derek S. Chew
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
MD MSc
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Flora Au
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Yuan Xu
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Braden J. Manns
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Marcello Tonelli
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Stephen B. Wilton
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Brenda Hemmelgarn
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Shiying Kong
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Derek V. Exner
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Amity E. Quinn
Duke Clinical Research Institute (Chew), Duke University, Durham, NC; Libin Cardiovascular Institute (Chew, Manns, Tonelli, Wilton, Exner) and O’Brien Institute of Public Health (Au, Manns, Tonelli, Wilton, Exner), University of Calgary; Departments of Community Health Sciences (Au, Xu, Manns, Tonelli, Wilton, Hemmelgarn, Kong, Exner, Quinn), Oncology (Xu, Kong), Surgery (Xu, Kong) and Medicine (Manns, Tonelli), University of Calgary, Calgary, Alta.; Faculty of Medicine and Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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  • Figure 1:
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    Figure 1:

    Crude rates of initiation of oral anticoagulant therapy among patients with nonvalvular atrial fibrillation at high risk for stroke by Health Status Area, April 2008 to March 2016. Online map available at https://bit.ly/3fOXJq3.

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    Figure 2:

    Crude rates of initiation of oral anticoagulant therapy among patients with nonvalvular atrial fibrillation at moderate risk for stroke by Health Status Area, April 2008 to March 2016. Online map available at https://bit.ly/3fOXJq3.

Tables

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    Table 1:

    Baseline characteristics of patients with nonvalvular atrial fibrillation by stroke risk and oral anticoagulant use

    CharacteristicNo. (%) of patients*
    Entire cohort
    n = 64 093
    High stroke risk†
    n = 36 199
    Moderate stroke risk†
    n = 14 411
    Oral anticoagulant
    n = 20 180
    No oral anticoagulant
    n = 16 019
    Oral anticoagulant
    n = 6448
    No oral anticoagulant
    n = 7963
    Age, mean ± SD, yr69.0 ± 15.976.9 ± 10.377.0 ± 12.364.9 ± 8.461.3 ± 11.0
    Age group, yr
     18–6422 720 (35.4)2694 (13.3)2671 (16.7)2464 (38.2)3997 (50.2)
     65–7414 983 (23.4)3874 (19.2)2618 (16.3)3984 (61.8)3966 (49.8)
     ≥ 7526 390 (41.2)13 612 (67.4)10 730 (67.0)0 (0.0)0 (0.0)
    Sex
     Female29 074 (45.4)9710 (48.1)8024 (50.1)2414 (37.4)3406 (42.8)
     Male35 019 (54.6)10 470 (51.9)7995 (49.9)4034 (62.6)4557 (57.2)
    Health care zone
     Calgary21 391 (33.4)6824 (33.8)4695 (29.3)2150 (33.3)2568 (32.2)
     Central9424 (14.7)3116 (15.4)2591 (16.2)1035 (16.0)1047 (13.1)
     Edmonton21 076 (32.9)6268 (31.1)5675 (35.4)2027 (31.4)2830 (35.5)
     North6806 (10.6)1851 (9.2)1756 (11.0)682 (10.6)976 (12.3)
     South5396 (8.4)2121 (10.5)1302 (8.1)554 (8.6)542 (6.8)
    Residence
     Urban54 707 (85.4)17 247 (85.5)13 648 (85.2)5356 (83.1)6754 (84.8)
     Rural9272 (14.5)2906 (14.4)2345 (14.6)1077 (16.7)1186 (14.9)
     Missing114 (0.2)27 (0.1)26 (0.2)15 (0.2)23 (0.3)
    Pampalon deprivation index score
    Material deprivation
     5 (most deprived)13 100 (20.4)4142 (20.5)3409 (21.3)1390 (21.6)1659 (20.8)
     413 434 (21.0)4328 (21.4)3283 (20.5)1378 (21.4)1653 (20.8)
     311 354 (17.7)3492 (17.3)2591 (16.2)1190 (18.5)1490 (18.7)
     210 054 (15.7)3094 (15.3)2368 (14.8)1031 (16.0)1305 (16.4)
     1 (least deprived)10 631 (16.6)3116 (15.4)2458 (15.3)1109 (17.2)1432 (18.0)
     Not defined5520 (8.6)2008 (10.0)1910 (11.9)350 (5.4)424 (5.3)
    Social deprivation
     5 (most deprived)17 147 (26.8)5594 (27.7)4492 (28.0)1390 (21.6)1659 (20.8)
     414 473 (22.6)4740 (23.5)3582 (22.4)1378 (21.4)1653 (20.8)
     310 851 (16.9)3332 (16.5)2573 (16.1)1190 (18.5)1490 (18.7)
     27384 (11.5)2189 (10.9)1588 (9.9)1031 (16.0)1305 (16.4)
     1 (least deprived)8718 (13.6)2317 (11.5)1874 (11.7)1109 (17.2)1432 (18.0)
     Not defined5520 (8.6)2008 (10.0)1910 (11.9)350 (5.4)424 (5.3)
    Location of initial atrial fibrillation diagnosis
     Outpatient52 969 (82.6)16 886 (83.7)11 460 (71.5)5979 (92.7)6786 (85.2)
     Inpatient11 124 (17.4)3294 (16.3)4559 (28.5)469 (7.3)1177 (14.8)
    No. of comorbidities
     09088 (14.2)746 (3.7)616 (3.8)771 (12.0)846 (10.6)
     112 628 (19.7)2447 (12.1)1786 (11.1)2402 (37.2)2974 (37.3)
     213 407 (20.9)4600 (22.8)3333 (20.8)1819 (28.2)2132 (26.8)
     ≥ 328 970 (45.2)12 387 (61.4)10 284 (64.2)1456 (22.6)2011 (25.2)
    Comorbidities
     Heart failure12 219 (19.1)6470 (32.1)4803 (30.0)526 (8.2)420 (5.3)
     Hypertension40 849 (63.7)17 453 (86.5)13 536 (84.5)4305 (66.8)5555 (69.8)
     Diabetes14 718 (23.0)7682 (38.1)6070 (37.9)415 (6.4)551 (6.9)
     Ischemic stroke or TIA11 334 (17.7)6307 (31.2)5027 (31.4)0 (0.0)0 (0.0)
     Chronic kidney disease30 843 (48.1)13 062 (64.7)10 118 (63.2)2124 (32.9)2224 (27.9)
     Pulmonary disease15 861 (24.7)6014 (29.8)5098 (31.8)1174 (18.2)1464 (18.4)
     Acute myocardial infarction4593 (7.2)1872 (9.3)1631 (10.2)341 (5.3)352 (4.4)
     Cancer5066 (7.9)1715 (8.5)1513 (9.4)376 (5.8)602 (7.6)
     Peripheral artery disease2702 (4.2)1126 (5.6)926 (5.8)146 (2.3)165 (2.1)
     Thyroid disease9667 (15.1)3672 (18.2)3075 (19.2)722 (11.2)960 (12.1)
     Cirrhosis348 (0.5)53 (0.3)117 (0.7)25 (0.4)58 (0.7)
    CHADS2 score‡
     013 959 (21.8)0 (0.0)0 (0.0)1454 (22.5)1867 (23.4)
     115 155 (23.6)168 (0.8)162 (1.0)4994 (77.4)6096 (76.6)
     215 831 (24.7)10 024 (49.7)8304 (51.8)0 (0.0)0 (0.0)
     39381 (14.6)4932 (24.4)3745 (23.4)0 (0.0)0 (0.0)
     46044 (9.4)3259 (16.1)2300 (14.4)0 (0.0)0 (0.0)
     52888 (4.5)1403 (7.0)1179 (7.4)0 (0.0)0 (0.0)
     6835 (1.3)394 (2.0)329 (2.0)0 (0.0)0 (0.0)
    CHADS2 score, median (IQR)2 (1–3)2 (2–4)2 (2–3)1 (1–1)1 (1–1)
    • Note: IQR = interquartile range, SD = standard deviation, TIA = transient ischemic attack.

    • ↵* Except where noted otherwise.

    • ↵† Excludes patients who died within 90 days of nonvalvular atrial fibrillation diagnosis.

    • ↵‡ A score of 0 = low risk of stroke, a score of 1 or 0 and age 65–74 years = moderate risk of stroke, and any score above 1 = high risk of stroke.

    • View popup
    Table 2:

    Crude outcomes at 1 year

    OutcomeYearp value*
    2008/092009/102010/112011/122012/132013/142014/152015/16
    Overall cohortn = 7070n = 8128n = 8763n = 8690n = 7203n = 7353n = 8315n = 8571
    Ischemic stroke310 (4.4)298 (3.7)280 (3.2)302 (3.5)232 (3.2)234 (3.2)263 (3.2)268 (3.1)0.01
    Major bleeding359 (5.1)341 (4.2)379 (4.3)395 (4.5)351 (4.9)341 (4.6)408 (4.9)422 (4.9)0.3
    High stroke riskn = 4084n = 4401n = 4838n = 5184n = 4087n = 4217n = 4676n = 4712
    Initiation of oral anticoagulant therapy within 1 yr2095 (51.3)2258 (51.3)2483 (51.3)2944 (56.8)2420 (59.2)2217 (52.6)2678 (57.3)3085 (65.5)0.02
    Persistence with oral anticoagulant therapy1283 (31.4)1355 (30.8)1500 (31.0)1920 (37.0)1607 (39.3)1373 (32.6)1472 (31.5)1976 (41.9)0.1
    Moderate stroke riskn = 1519n = 1697n = 1960n = 1797n = 1675n = 1655n = 2033n = 2075
    Initiation of oral anticoagulant therapy within 1 yr680 (44.8)670 (39.5)769 (39.2)899 (50.0)828 (49.4)676 (40.8)855 (42.1)1071 (51.6)0.4
    Persistence with oral anticoagulant therapy380 (25.0)356 (21.0)422 (21.5)538 (29.9)488 (29.1)375 (22.7)392 (19.3)595 (28.7)0.9
    • ↵* Mann–Kendall test for monotonic trends.

    • View popup
    Table 3:

    Small-area variation analysis*

    Outcome; statisticYearp value†
    2008/092009/102010/112011/122012/132013/142014/152015/16
    Initiation of oral anticoagulant therapy
    High stroke risk
     EQ24.010.34.76.23.210.03.72.80.04
     CV × 10023.320.015.622.118.622.521.318.50.5
     SCV × 100175.144.028.012.814.326.114.512.10.04
     p value‡< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001–
    Moderate stroke risk
     EQ16.95.87.58.37.76.93.914.90.7
     CV × 10031.031.530.228.025.931.429.230.80.5
     SCV × 10041.633.036.035.917.319.918.324.30.1
     p value‡< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001–
    Persistence with oral anticoagulant therapy
    High stroke risk
     EQ19.84.09.16.912.84.85.72.30.2
     CV × 10027.524.923.221.523.626.626.919.20.5
     SCV × 10024.111.225.72.821.97.06.67.00.2
     p value‡0.008< 0.0010.0040.09< 0.001< 0.001< 0.001< 0.001–
    Moderate stroke risk
     EQ16.214.28.47.017.917.18.523.20.5
     CV × 10045.047.239.540.138.144.753.541.81.00
     SCV × 100302.7329.0166.4424.2180.4196.4204.9254.71.00
     p value‡< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001–
    Ischemic stroke
    EQ9.316.531.614.58.739.113.510.90.9
    CV × 10049.553.048.748.262.561.857.752.20.7
    SCV × 100< 1< 1< 1< 1< 1< 1< 1< 10.4
    p value‡1.01.01.01.01.01.01.01.0–
    Major bleeding
    EQ32.327.57.312.712.519.816.67.00.2
    CV × 10051.051.338.549.555.544.747.041.80.4
    SCV × 1006< 1< 110.97.1< 1< 1< 10.06
    p value‡0.91.01.00.81.01.01.01.0–
    • Note: CV = coefficient of variation, EQ = extremal quotient, SCV = systematic component of variation.

    • ↵* Applied to age- and sex-standardized outcomes.

    • ↵† Mann–Kendall test for monotonic trends.

    • ↵‡ χ2 test for small-area variation in outcomes.

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Geographic and temporal variation in the treatment and outcomes of atrial fibrillation: a population-based analysis of national quality indicators
Derek S. Chew, Flora Au, Yuan Xu, Braden J. Manns, Marcello Tonelli, Stephen B. Wilton, Brenda Hemmelgarn, Shiying Kong, Derek V. Exner, Amity E. Quinn
Jul 2022, 10 (3) E702-E713; DOI: 10.9778/cmajo.20210246

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Geographic and temporal variation in the treatment and outcomes of atrial fibrillation: a population-based analysis of national quality indicators
Derek S. Chew, Flora Au, Yuan Xu, Braden J. Manns, Marcello Tonelli, Stephen B. Wilton, Brenda Hemmelgarn, Shiying Kong, Derek V. Exner, Amity E. Quinn
Jul 2022, 10 (3) E702-E713; DOI: 10.9778/cmajo.20210246
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