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Adverse event rates associated with oral anticoagulant treatment early versus later after hospital discharge in older adults: a retrospective population-based cohort study

Anne Holbrook, Harsukh Benipal, J. Michael Paterson, Diana Martins, Simon Greaves, Munil Lee and Tara Gomes
April 16, 2021 9 (2) E364-E375; DOI: https://doi.org/10.9778/cmajo.20200138
Anne Holbrook
Division of Clinical Pharmacology & Toxicology (Holbrook), Department of Medicine and Department of Health Research Methods, Evidence, and Impact (Holbrook, Benipal, Greaves), McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes); Institute of Health Policy, Management and Evaluation (Paterson), University of Toronto, Toronto, Ont.; Schulich School of Medicine and Dentistry (Lee), Western University, London, Ont.; Li Ka Shing Knowledge Institute (Martins, Gomes), St. Michael’s Hospital, Toronto, Ont.
MD PharmD
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Harsukh Benipal
Division of Clinical Pharmacology & Toxicology (Holbrook), Department of Medicine and Department of Health Research Methods, Evidence, and Impact (Holbrook, Benipal, Greaves), McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes); Institute of Health Policy, Management and Evaluation (Paterson), University of Toronto, Toronto, Ont.; Schulich School of Medicine and Dentistry (Lee), Western University, London, Ont.; Li Ka Shing Knowledge Institute (Martins, Gomes), St. Michael’s Hospital, Toronto, Ont.
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J. Michael Paterson
Division of Clinical Pharmacology & Toxicology (Holbrook), Department of Medicine and Department of Health Research Methods, Evidence, and Impact (Holbrook, Benipal, Greaves), McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes); Institute of Health Policy, Management and Evaluation (Paterson), University of Toronto, Toronto, Ont.; Schulich School of Medicine and Dentistry (Lee), Western University, London, Ont.; Li Ka Shing Knowledge Institute (Martins, Gomes), St. Michael’s Hospital, Toronto, Ont.
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Diana Martins
Division of Clinical Pharmacology & Toxicology (Holbrook), Department of Medicine and Department of Health Research Methods, Evidence, and Impact (Holbrook, Benipal, Greaves), McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes); Institute of Health Policy, Management and Evaluation (Paterson), University of Toronto, Toronto, Ont.; Schulich School of Medicine and Dentistry (Lee), Western University, London, Ont.; Li Ka Shing Knowledge Institute (Martins, Gomes), St. Michael’s Hospital, Toronto, Ont.
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Simon Greaves
Division of Clinical Pharmacology & Toxicology (Holbrook), Department of Medicine and Department of Health Research Methods, Evidence, and Impact (Holbrook, Benipal, Greaves), McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes); Institute of Health Policy, Management and Evaluation (Paterson), University of Toronto, Toronto, Ont.; Schulich School of Medicine and Dentistry (Lee), Western University, London, Ont.; Li Ka Shing Knowledge Institute (Martins, Gomes), St. Michael’s Hospital, Toronto, Ont.
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Munil Lee
Division of Clinical Pharmacology & Toxicology (Holbrook), Department of Medicine and Department of Health Research Methods, Evidence, and Impact (Holbrook, Benipal, Greaves), McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes); Institute of Health Policy, Management and Evaluation (Paterson), University of Toronto, Toronto, Ont.; Schulich School of Medicine and Dentistry (Lee), Western University, London, Ont.; Li Ka Shing Knowledge Institute (Martins, Gomes), St. Michael’s Hospital, Toronto, Ont.
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Tara Gomes
Division of Clinical Pharmacology & Toxicology (Holbrook), Department of Medicine and Department of Health Research Methods, Evidence, and Impact (Holbrook, Benipal, Greaves), McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes); Institute of Health Policy, Management and Evaluation (Paterson), University of Toronto, Toronto, Ont.; Schulich School of Medicine and Dentistry (Lee), Western University, London, Ont.; Li Ka Shing Knowledge Institute (Martins, Gomes), St. Michael’s Hospital, Toronto, Ont.
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Article Figures & Tables

Figures

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    Figure 1:

    Cohort timelines and definitions. Note: ODB = Ontario Drug Benefit program, DOAC = direct-acting oral anticoagulant.

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    Figure 2:

    Flow diagram showing participant selection. Note: OAC = oral anticoagulant.

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    Figure 3:

    Postdischarge hemorrhage event rates.

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    Figure 4:

    Postdischarge thromboembolic event rates.

Tables

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    Table 1:

    Description of ICES databases used in this study (23)

    Name of databaseContent
    Canadian Institute for Health Information Discharge Abstract DatabasePatient-level demographic, diagnostic, procedural and treatment information on all acute care hospital admissions
    Canadian Institute for Health Information National Ambulatory Care Reporting SystemPatient-level demographic, diagnostic, procedural and treatment information on all emergency department visits
    The DrugList FileList of Drug Identification Numbers used in Canada from 1990 forward; contains drug and product names, manufacturer, subclass information, pharmacy classification group codes, drug strength, route of administration, and first and last dispensing dates
    ICES-derived cohortsValidated cohorts of people with specific diseases and conditions, including the Ontario Congestive Heart Failure Database, Ontario Diabetes Database and Ontario Hypertension Data Set
    ICES Physician DatabaseCharacteristics of physicians and surgeons licensed to practise in Ontario
    Ontario Cancer RegistryPatient-level demographic information and data on cancer diagnosis and cancer-related mortality
    Ontario Drug Benefit program databaseRecords of dispensed outpatient prescriptions paid for by the provincial government
    Ontario Health Insurance Plan claims history databaseClaims for physician services paid for by the provincial government
    Ontario Health Insurance Plan Registered Persons DatabaseDemographic information and data on place of residence and vital status for all people eligible to receive insured health care services in the province
    Statistics Canada Census Postal CodeOM Conversion FileInformation on rural residence and income quintiles of residents
    • View popup
    Table 2:

    Baseline characteristics of older adults in Ontario who started, continued or resumed oral anticoagulant therapy after hospital discharge between September 2010 and March 2015

    CharacteristicEntire cohort; no (%) of patients*Prevalent users; no (%) of patients*
    Overall
    n = 123 139
    Incident users
    n = 70 140
    Prevalent users
    n = 52 999
    Standardized
    difference
    Switchers
    n = 3674
    Nonswitchers
    n = 49 325
    Standardized difference
    Age, mean ± SD, yr78.2 ± 7.776.1 ± 7.181.1 ± 7.60.6979.4 ± 7.381.23 ± 7.60.24
    Female sex68 408 (55.6)39 956 (57.0)28 452 (53.7)0.071846 (50.2)26 606 (53.9)0.07
    Rural residence†19 931 (16.2)11 892 (17.0)8039 (15.2)0.05580 (15.8)7459 (15.1)0.02
    Anticoagulant dispensed
    Apixaban5890 (4.8)2810 (4.0)3080 (5.8)0.08570 (15.5)2510 (5.1)0.35
    Dabigatran6608 (5.4)2775 (4.0)3833 (7.2)0.14473 (12.9)3360 (6.8)0.20
    Rivaroxaban51 409 (41.7)42 546 (60.7)8863 (16.7)1.011150 (31.3)7713 (15.6)0.38
    Warfarin59 232 (48.1)22 009 (31.4)37 223 (70.2)0.841481 (40.3)35 742 (72.5)0.69
    Indication‡
    Atrial fibrillation within 10 yr62 957 (51.1)22 530 (32.1)40 427 (76.3)0.992988 (81.3)37 439 (75.9)0.13
    Joint replacement within 35 d44 375 (36.0)38 939 (55.5)5436 (10.3)1.10502 (13.7)4934 (10.0)0.11
    Major surgery during index hospital stay22 043 (17.9)17 384 (24.8)4659 (8.8)0.44590 (16.1)4069 (8.2)0.24
    Active cancer within 180 d7858 (6.4)3548 (5.1)4310 (8.1)0.12278 (7.6)4032 (8.2)0.02
    Deep vein thrombosis or pulmonary embolism during index hospital stay6407 (5.2)1783 (2.5)4624 (8.7)0.27349 (9.5)4275 (8.7)0.03
    Prescribing physician specialty†
    Family medicine41 524 (33.7)12 604 (18.0)28 920 (54.6)0.821274 (34.7)27 646 (56.0)0.44
    Orthopedic surgery31 394 (25.5)28 014 (39.9)3380 (6.4)0.87287 (7.8)3093 (6.3)0.06
    Internal medicine9958 (8.1)5350 (7.6)4608 (8.7)0.04432 (11.8)4176 (8.5)0.11
    Cardiology7083 (5.8)3840 (5.5)3243 (6.1)0.03441 (12.0)2802 (5.7)0.22
    Hematology2324 (1.9)1808 (2.6)516 (1.0)0.12107 (2.9)409 (0.8)0.15
    Other8792 (7.1)4843 (6.9)3949 (7.5)0.02387 (10.5)3562 (7.2)0.12
    Unknown22 064 (17.9)13 681 (19.5)8383 (15.8)0.10746 (20.3)7637 (15.5)0.13
    Past medical history
    No. of hospital admissions within 1 yr, mean ± SD0.67 ± 1.160.30 ± 0.731.16 ± 1.420.760.99 ± 1.321.17 ± 1.430.13
    No. of thromboembolic events within 3 yr13 741 (11.2)10 483 (19.8)3258 (4.6)0.48730 (19.9)9753 (19.8)0.00
    Ischemic stroke4419 (3.6)990 (1.4)3429 (6.5)0.26228 (6.2)3201 (6.5)0.01
    Transient ischemic attack2757 (2.2)853 (1.2)1904 (3.6)0.16142 (3.9)1762 (3.6)0.02
    Peripheral vascular disease event2540 (2.1)680 (1.0)1860 (3.5)0.17106 (2.9)1754 (3.6)0.04
    Systemic embolism705 (0.6)155 (0.2)550 (1.0)0.1034 (0.9)516 (1.0)0.01
    Pulmonary embolism2393 (1.9)349 (0.5)2044 (3.9)0.23152 (4.1)1892 (3.8)0.02
    Deep vein thrombosis3280 (2.7)580 (0.8)2700 (5.1)0.25204 (5.6)2496 (5.1)0.02
    Hemorrhagic event within 3 yr13 406 (10.9)3627 (5.2)9779 (18.5)0.42616 (16.8)9163 (18.6)0.05
    Intracranial bleeding777 (0.6)230 (0.3)547 (1.0)0.0927 (0.7)520 (1.1)0.03
    Upper gastrointestinal bleeding3830 (3.1)1068 (1.5)2762 (5.2)0.21182 (5.0)2580 (5.2)0.01
    Lower gastrointestinal bleeding1498 (1.2)453 (0.6)1045 (2.0)0.1285 (2.3)960 (1.9)0.03
    Other major bleed8750 (7.1)2132 (3.0)6618 (12.5)0.36392 (10.7)6226 (12.6)0.06
    Comorbidities
    Congestive heart failure47 133 (38.3)14 265 (20.3)32 868 (62.0)0.932096 (57.0)30 772 (62.4)0.11
    Hypertension106 292 (86.3)57 447 (81.9)48 845 (92.2)0.313378 (91.9)45 467 (92.2)0.01
    Diabetes46 522 (37.8)22 569 (32.2)23 953 (45.2)0.271627 (44.3)22 326 (45.3)0.02
    Renal dysfunction§11 216 (9.1)2491 (3.6)8725 (16.5)0.44418 (11.4)8307 (16.8)0.16
    Liver dysfunction¶1349 (1.1)343 (0.5)1006 (1.9)0.1368 (1.9)938 (1.9)0.00
    Drug use disorder14 226 (11.6)11 642 (16.6)2584 (4.9)0.39202 (5.5)2382 (4.8)0.03
    Alcohol use disorder in previous 3 yr1401 (1.1)517 (0.7)884 (1.7)0.0964 (1.7)820 (1.7)0.01
    Charlson Comorbidity Index score
     020 946 (17.0)11 714 (16.7)9232 (17.4)0.02669 (18.2)8563 (17.4)0.02
     114 766 (12.0)6041 (8.6)8725 (16.5)0.24637 (17.3)8088 (16.4)0.03
     ≥ 232 563 (26.4)8967 (12.8)23 596 (44.5)0.751355 (36.9)22 241 (45.1)0.17
     NA (no hospital admission)54 864 (44.6)43 418 (61.9)11 446 (21.6)0.901013 (27.6)10 433 (21.2)0.15
    CHA2DS2-VASc score
     Mean ± SD4.08 ± 1.593.49 ± 1.374.86 ± 1.530.954.77 ± 1.474.87 ± 1.530.07
     Median (IQR)4 (3–5)3 (3–4)5 (4–6)0.985 (4–6)5 (4–6)0.07
    HAS-B_ED score
     Mean ± SD2.20 ± 0.682.09 ± 0.632.36 ± 0.710.412.30 ± 0.692.37 ± 0.720.09
     Median (IQR)2 (2–3)2 (2–2)2 (2–3)0.382 (2–3)2 (2–3)0.10
    Concomitant medication within previous 120 d
    Nonsteroidal anti-inflammatory drug19 273 (15.7)15 344 (21.9)3929 (7.4)0.42304 (8.3)3625 (7.3)0.03
    Acetylsalicylic acid2870 (2.3)2212 (3.2)658 (1.2)0.1341 (1.1)617 (1.3)0.01
    Other antiplatelet7026 (5.7)4459 (6.4)2567 (4.8)0.07207 (5.6)2360 (4.8)0.04
    Amiodarone4048 (3.3)598 (0.9)3450 (6.5)0.30242 (6.6)3208 (6.5)0.00
    Selective serotonin reuptake inhibitor14 864 (12.1)6189 (8.8)8675 (16.4)0.23428 (11.6)8247 (16.7)0.15
    Antibiotic**17 345 (14.1)7384 (10.5)9961 (18.8)0.24541 (14.7)9420 (19.1)0.12
    • Note: IQR = interquartile range, NA = not available, SD = standard deviation.

    • ↵* Except where noted otherwise.

    • ↵† Data missing for less than 0.07% of patients.

    • ↵‡ Patients could have more than 1 indication.

    • ↵§ Included International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes for dialysis, chronic renal disease, renal cancer and renal surgery.

    • ↵¶ Included ICD-10 codes for cirrhosis, chronic liver disease, liver cancer, hepatitis and liver surgery.

    • ↵** Within 30 days.

    • View popup
    Table 3:

    Rates of outcome events over time after hospital discharge in the overall cohort

    OutcomeNo. (%) of patientsTime; event rate per 100 person-years (95% CI)
    1 yrFirst 30 d2–12 mo
    Hemorrhage8767 (100.0)17.7 (17.4–18.1)25.8 (24.8–26.8)15.7 (15.3–16.1)
     Intracranial bleed664 (7.6)1.3 (1.2–1.4)1.2 (1.0–1.4)1.4 (1.3–1.5)
     Upper gastrointestinal bleed2392 (27.3)4.8 (4.6–5.0)7.5 (7.0–8.0)4.2 (4.0–4.4)
     Lower gastrointestinal bleed669 (7.6)1.4 (1.3–1.5)1.9 (1.6–2.2)1.2 (1.1–1.3)
     Other major bleed5042 (57.5)10.2 (9.9–10.5)15.3 (14.5–16.0)8.9 (8.6–9.2)
    Thromboembolic event4643 (100.0)9.4 (9.1–9.7)19.3 (18.4–20.2)6.9 (6.6–7.1)
     Ischemic stroke1001 (21.6)2.0 (1.9–2.2)2.8 (2.5–3.2)1.8 (1.7–2.0)
     Transient ischemic attack542 (11.7)1.1 (1.0–1.2)1.5 (1.2–1.7)1.0 (0.9–1.1)
     Peripheral vascular disease789 (17.0)1.6 (1.5–1.7)1.9 (1.6–2.1)1.5 (1.4–1.7)
     Systemic embolism153 (3.3)0.3 (0.3–0.4)0.6 (0.5–0.8)0.2 (0.2–0.3)
     Pulmonary embolism978 (21.1)2.0 (1.9–2.1)6.4 (5.9–6.9)0.9 (0.8–1.0)
     Deep vein thrombosis1180 (25.4)2.4 (2.3–2.5)6.2 (5.7–6.7)1.4 (1.3–1.5)
    • Note: CI = confidence interval.

    • View popup
    Table 4:

    Rates of outcome events over time after hospital discharge among incident and prevalent users

    OutcomeIncident usersPrevalent users
    No. (%) of patientsTime; event rate per 100 person-years (95% CI)No. (%) of patientsTime; event rate per 100 person-years (95% CI)
    1 yrFirst 30 d2–12 mo1 yrFirst 30 d2–12 mo
    Hemorrhage3312 (37.8)14.6 (14.1–15.1)21.9 (20.7–23.1)12.1 (11.6–12.7)5455 (62.2)20.4 (19.9–20.9)31.1 (29.4–32.8)18.4 (17.8–18.9)
    Thromboembolic event2274 (49.0)10.0 (9.6–10.4)21.4 (20.2–22.6)6.2 (5.8–6.7)2369 (51.0)8.9 (8.5–9.2)16.5 (15.3–17.7)7.4 (7.0–7.8)
    • Note: CI = confidence interval.

    • View popup
    Table 5:

    Rates of outcome events over time after hospital discharge among nonswitchers and switchers

    OutcomeNonswitchersSwitchers
    No. (%) of patientsTime; event rate per 100 person-years (95% CI)No. (%) of patientsTime; event rate per 100 person-years (95% CI)
    1 yrFirst 30 d2–12 mo1 yrFirst 30 d2–12 mo
    Hemorrhage5044 (92.5)20.5 (19.9–21.0)31.2 (29.5–32.9)18.4 (17.8–19.0)411 (7.5)19.6 (17.7–21.5)29.5 (23.4–35.7)18.0 (16.0–19.9)
    Thromboembolic event2164 (91.3)8.8 (8.4–9.2)16.0 (14.7–17.2)7.4 (7.0–7.8)205 (8.7)9.8 (8.5–11.1)23.8 (18.3–29.4)7.5 (6.2–8.7)
    • Note: CI = confidence interval.

    • View popup
    Table 6:

    Rates of outcome events over time after hospital discharge among men and women

    OutcomeMenWomen
    No. (%) of patientsTime; event rate per 100 person-years (95% CI)No. (%) of patientsTime; event rate per 100 person-years (95% CI)
    1 yrFirst 30 d2–12 mo1 yrFirst 30 d2–12 mo
    Hemorrhage4677 (53.3)21.4 (20.8–22.0)32.1 (30.5–33.8)18.7 (18.0–19.3)4090 (46.7)14.8 (14.4–15.3)20.8 (19.6–22.0)13.3 (12.9–13.8)
    Thromboembolic event2193 (47.2)10.0 (9.6–10.5)21.4 (20.0–22.7)7.1 (6.8–7.5)2450 (52.8)8.9 (8.5–9.2)17.7 (16.6–18.8)6.7 (6.3–7.0)
    • Note: CI = confidence interval.

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Adverse event rates associated with oral anticoagulant treatment early versus later after hospital discharge in older adults: a retrospective population-based cohort study
Anne Holbrook, Harsukh Benipal, J. Michael Paterson, Diana Martins, Simon Greaves, Munil Lee, Tara Gomes
Apr 2021, 9 (2) E364-E375; DOI: 10.9778/cmajo.20200138

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Adverse event rates associated with oral anticoagulant treatment early versus later after hospital discharge in older adults: a retrospective population-based cohort study
Anne Holbrook, Harsukh Benipal, J. Michael Paterson, Diana Martins, Simon Greaves, Munil Lee, Tara Gomes
Apr 2021, 9 (2) E364-E375; DOI: 10.9778/cmajo.20200138
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