Literature DB >> 33975877

Effectiveness and safety of oral anticoagulants in elderly patients with atrial fibrillation.

Ole-Christian Walter Rutherford1,2, Christian Jonasson3, Waleed Ghanima4,5, Fabian Söderdahl6, Sigrun Halvorsen7,2.   

Abstract

OBJECTIVES: To assess the risk of stroke/systemic embolism (SE) and major bleeding associated with the use of oral anticoagulants in elderly patients with atrial fibrillation (AF) in a real-world population.
METHODS: We identified all anticoagulant-naive initiators of warfarin, dabigatran, rivaroxaban and apixaban for the indication AF in Norway between January 2013 and December 2017. Multivariate competing risk regression was used to calculate subhazard ratios (SHRs) describing associations between non-vitamin K antagonist oral anticoagulants (NOACs) compared with warfarin for risk of stroke/SE and major bleeding.
RESULTS: Among 30 401 patients ≥75 years identified (median age 82 years, 53% women, mean CHA2DS2-VaSc score 4.5), 3857 initiated dabigatran, 6108 rivaroxaban, 13 786 apixaban and 6650 warfarin. Reduced dose was initiated in 11 559 (49%) of the NOAC-treated patients. For stroke, the SHRs for standard dose NOAC against warfarin were 0.80 (95% CI 0.57 to 1.13) for dabigatran; 1.07 (95% CI 0.89 to 1.30) for rivaroxaban and 0.95 (95% CI 0.78 to 1.15) for apixaban. For major bleeding, the SHRs against warfarin were 0.75 (95% CI 0.52 to 1.08) for dabigatran; 0.96 (95% CI 0.78 to 1.16) for rivaroxaban and 0.74 (95% CI 0.60 to 0.91) for apixaban. Comparing reduced doses of NOACs with warfarin yielded similar results. Sensitivity analyses were in accordance with the main results.
CONCLUSION: In this nationwide cohort study of patients ≥75 years initiating oral anticoagulation for AF, standard and reduced dose NOACs were associated with similar risks of stroke/SE as warfarin and lower or similar risks of bleeding. The NOACs seem to be a safe option also in elderly patients. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  arrhythmias; atrial fibrillation; cardiac; clinical; epidemiology; pharmacology; stroke

Mesh:

Substances:

Year:  2021        PMID: 33975877      PMCID: PMC8862105          DOI: 10.1136/heartjnl-2020-318753

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


Introduction

Age is a strong and independent risk factor for both stroke and bleeding in patients with atrial fibrillation (AF).1 Oral anticoagulation is associated with a net clinical benefit in elderly patients despite their elevated bleeding risk,2 and the 2020 European Society of Cardiology (ESC) guidelines for the management of AF recommend non-vitamin K antagonist oral anticoagulants (NOACs) for stroke prevention over vitamin K antagonists (VKAs), without age restrictions.3 In the pivotal randomised controlled trials (RCTs) leading to the approval of the NOACs, the median age was just over 70 years and approximately 65% of the patients included were men.4–6 In the real world, approximately half of patients with AF starting on oral anticoagulants (OACs) are 75 years or older, and approximately half of these are women.7 No RCT has investigated the efficacy and safety of NOACs specifically in elderly patients, but subgroup analyses of the RCTs,8–11 and observational studies,12 13 indicate that the benefits of NOACs over VKAs are maintained in the elderly population. More insight into the comparative abilities of anticoagulants to reduce the risk of stroke while keeping bleeding risk low in elderly patients is needed. In this study, we aimed to compare the risks of stroke or systemic embolism (SE), and major bleeding, between standard and reduced doses of dabigatran, rivaroxaban, apixaban and warfarin, in a Norwegian nationwide cohort of patients ≥75 years with AF. In Norway, data from all hospital contacts and prescription dispensations are routinely collected through national registries,14 making it possible to follow individuals over time with virtually no selection bias.

Methods

Data sources

Data were collected from the Norwegian Patient Registry (NPR) and the Norwegian Prescription Database (NorPD). The NPR contains diagnoses from all hospital admissions, outpatient consultations and specialist consultations in Norway.14 For each contact, the primary (the primary disease/condition treated) and secondary codes (relevant comorbidities) are recorded. Diagnoses are coded according to the International Classification of Diseases (10th revision, ICD-10) system, and surgical procedures according to the Nordic Medico-Statistical Committee (NOMESCO) coding system.15 The NorPD contains information from all pharmacies in Norway on dispensations including drug codes (Anatomical Therapeutic Chemical system (ATC)), drug strength, pack-size and vital status of patients.16 Drug expenses for treatment of serious chronic illnesses are reimbursed in Norway, and the NorPD contains the relevant ICD-10/International Classification of Primary Care (ICPC-2) codes warranting reimbursement. Linkage of individual-level data across NPR and NorPD was enabled via unique personal identification numbers.

Cohort creation and study design

All patients diagnosed with AF, but without mitral stenosis or mechanical heart valves, between January 2008 and December 2017 were identified from the NPR. From the NorPD, we identified all patients with at least one dispensation of an OAC between January 2013 and December 2017. These data were linked to create a cohort of patients diagnosed with AF, initiating treatment with an OAC (figure 1). The index date was set to the day of the first dispensing of an OAC (dabigatran 110 mg/150 mg, rivaroxaban 15 mg/20 mg, apixaban 2.5 mg/5 mg or warfarin 2.5 mg) for the indication AF in the study period. We chose an ‘active-comparator, new-user’ design: the drug of interest was compared with another agent used for the same indication rather than with no treatment. This ensures that treatment groups have similar treatment indications, minimising differences in patient characteristics. With the new-user design, patients were included from the time of treatment initiation, enabling capture of all events occurring during follow-up.17 The design involves a washout period before inclusion; patients with a dispensing of any anticoagulant in the preceding 12 months before the index date; a history of venous thromboembolism during the last 180 days; or knee or hip replacement surgery during the last 35 days before the index date were excluded. Due to limited usage in the study period, patients initiating edoxaban were excluded (n=107). Finally, all patients <75 years were excluded, creating a cohort of anticoagulant-naive AF patients ≥75 years starting treatment with warfarin, dabigatran, rivaroxaban or apixaban (figure 1). ICD-10 codes used for inclusion/exclusion criteria, comorbidities and outcomes are listed in online supplemental table 1.
Figure 1

Cohort creation flow-chart. AF*, atrial fibrillation in the absence of mitral stenosis or mechanical prosthetic heart valves; NPR, Norwegian Patient Registry; NorPD, Norwegian Prescription Database; OAC, oral anticoagulant; VTE, venous thromboembolism.

Cohort creation flow-chart. AF*, atrial fibrillation in the absence of mitral stenosis or mechanical prosthetic heart valves; NPR, Norwegian Patient Registry; NorPD, Norwegian Prescription Database; OAC, oral anticoagulant; VTE, venous thromboembolism.

OAC supply

The days of warfarin supply were estimated as previously described.18 The period of supply of NOACs was estimated by the pack-size/number of packs prescribed, given a fixed dosing of NOACs. To account for incomplete adherence, a 30-day grace period between the calculated end of NOAC supply and the date of a new prescription was allowed.

Comorbidities

Using ICD-10-diagnoses from NPR, and ICD/ICPC-2-diagnoses from NorPD, a set of comorbidities was compiled for the last 5 years before the index date for each patient. Online supplemental table S2 shows in detail how CHA2DS2-VASc and HAS-BLED scores were calculated. For identification of comorbidities, both primary and secondary ICD-10 and NOMESCO codes from the NPR were used.

Outcomes and follow-up period

The main outcomes investigated were stroke or SE (effectiveness outcome) and major bleeding (safety outcome). Other outcomes included ischaemic stroke, intracranial haemorrhage, gastrointestinal haemorrhage, any haemorrhage and all-cause mortality. Major bleeding was defined as any bleeding into a critical area or organ such as intracranial, intraspinal, intraocular, retroperitoneal, intra-articular, pericardial, intramuscular with compartment syndrome, major gastrointestinal and/or any bleeding accompanied by blood transfusion ≤10 days after hospital admission. For identification of outcomes, only primary (first listed) ICD-10 and NOMESCO codes for each hospital stay were used (online supplemental table S1). Patients were followed until discontinuation or switching of OAC, death or end of study period (31 December 2017), whichever occurred first.

Statistical analysis

Categorical variables are reported as numbers and per cent, continuous variables as means with SD or medians with 25th–75th percentiles. Based on clinical experience and by using directed acyclic graphs, we identified a group of 20 confounders for the effect of exposure to OACs on both the chosen outcomes and the competing risk of death.19 Multivariate competing risk regression adjusting for these 20 variables was performed according to the method of Fine and Gray,20 to calculate subhazard ratios (SHR) describing associations between exposure to different OACs and the defined outcomes, treating death as a competing risk. The results were graphically presented by cumulative incidence functions.21 To evaluate associations between OAC therapy and risk of all-cause mortality, multivariate Cox regression was performed. The proportional hazards assumption was checked using Schoenfeld residuals and by comparing the log-log transformation of the Kaplan-Meier survival curves for each variable. Robust sandwich estimates were calculated.22 Estimating days of supply for warfarin, as well as anticoagulant effect of the dose taken, is difficult in registry-based studies. To elaborate on our findings, we performed post hoc analyses with NOAC–NOAC comparisons after the main analyses, which compared NOACs with warfarin. The variables adjusted for were gender, age, year of inclusion into the study, chronic kidney disease, hypertension, diabetes, ischaemic heart disease, peripheral artery disease, heart failure, dementia, thyroid disorders, active cancer (cancer diagnosis last 12 months), chronic lower respiratory tract disease, history of stroke/SE, history of bleeding-related hospitalisation, history of anaemia, use of cholesterol lowering drugs, use of antiplatelet drugs and use of NSAIDs during the last 12 months. Level of significance was set to 5%. Statistical analyses were performed using SAS V.9.4 (SAS Institute) and STATA V.16 (STATACorp LLC).

Sensitivity analyses

Four sensitivity analyses were performed for the outcomes stroke/SE, major bleeding and all-cause mortality: (1) allowing a longer gap period of 90 days between the calculated end of OAC supply and a new prescription dispensing before censoring; (2) analysing only truly OAC naive patients, by excluding patients with a dispensing of any anticoagulant for any indication from pharmacies during the last 5 years (12 months was used in the main analyses); (3) standardising follow-up time for all OACs to 12 months; (4) an ‘intention-to-treat’-like analysis, not censoring patients on switching between anticoagulants or discontinuation of therapy.

Results

In total, 30 401 patients were included; 3857 patients initiating dabigatran (standard dose 931 patients; reduced dose 2926); 6108 patients initiating rivaroxaban (standard dose 3630 patients; reduced dose 2478 patients); 13 786 patients initiating apixaban (standard dose 7631; reduced dose 6155) and 6650 patients initiating warfarin. The median age for the total population was 82 years (IQR 78–86); the majority of patients were female (53.0%), and the mean CHA2DS2-VASC score was 4.5 (SD 1.4). Baseline characteristics of the study population in relation to treatment groups are shown in table 1. Initiators of standard doses of NOACs were likely to be younger than initiators of warfarin, while initiators of reduced doses of NOACs were more likely to be of similar (dabigatran) or older age (rivaroxaban and apixaban) than initiators of warfarin. Users of dabigatran 150 mg two times per day had the lowest, and users of apixaban 2.5 mg two times per day, the highest median age (77 and 86 years, respectively). Median follow-up time was 24.4 months (standard dose) and 17.8 months (reduced dose) for dabigatran, 19.0 months (standard dose) and 16.2 months (reduced dose) for rivaroxaban, 12.7 months (standard dose) and 11.6 months (reduced dose) for apixaban and 19.9 months for warfarin. The proportion of patients who switched anticoagulants during the study period was 20.3% (standard dose) and 21.6% (reduced dose) for dabigatran, 11.8% (standard dose) and 11.9% (reduced dose) for rivaroxaban, 2.8% (standard dose) and 2.7% (reduced dose) for apixaban and 17.0% for warfarin. The crude incidence rate of stroke/SE (events per 100 person years) was 2.11 (standard dose) and 2.33 (reduced dose) for dabigatran, 3.21 (standard dose) and 3.03 (reduced dose) for rivaroxaban, 3.08 (standard dose) and 3.77 (reduced dose) for apixaban and 2.69 for warfarin. The crude incidence rate of major bleeding (events per 100 patient years) was 1.78 (standard dose) and 2.24 (reduced dose) for users of dabigatran, 2.58 (standard dose) and 3.56 (reduced dose) for rivaroxaban, 2.22 (standard dose) and 3.04 (reduced dose) for apixaban and 3.02 for warfarin. The cumulative incidence functions for stroke/SE and major bleeding for each OAC are shown in figure 2.
Table 1

Baseline characteristics

DabigatranDabigatranRivaroxabanRivaroxabanApixabanApixabanWarfarin
150 mg two times per day110 two times per day20 mg once a day15 mg once a day5 mg two times per day2.5 mg two times per day2.5 mg
N931292636302478763161556650
Year of inclusion into study
 2013356 (38.2)1 333 (45.6)902 (24.8)724 (29.2)93 (1.2)87 (1.4)3131 (47.1)
 2014284 (30.5)837 (28.6)834 (23.0)653 (26.4)846 (11.1)846 (13.7)1868 (28.1)
 2015116 (12.5)296 (10.1)755 (20.8)539 (21.8)1780 (23.3)1546 (25.1)951 (14.3)
 201688 (9.5)224 (7.7)680 (18.7)362 (14.6)2303 (30.2)1916 (31.1)485 (7.3)
 201787 (9.3)236 (8.1)459 (12.6)200 (8.1)2609 (34.2)1760 (28.6)215 (3.2)
Age
 75–84875 (94.0)1867 (63.8)2764 (76.1)1279 (51.6)6020 (78.9)2643 (42.9)4186 (62.9)
 85–9453 (5.7)1020 (34.9)845 (23.3)1122 (45.3)1560 (20.4)3254 (52.9)2379 (35.8)
 95–1053 (0.3)39 (1.3)21 (0.6)77 (3.1)51 (0.7)258 (4.2)85 (1.3)
 Mean (SD)78.0 (3.5)83.0 (4.9)81.0 (4.8)84.4 (5.4)80.8 (4.6)85.6 (5.3)82.9 (5.1)
 Median (25th–75th percentile)77 (76–79)82 (79–86)80 (77–84)84 (80–88)80 (77–84)86 (82–89)82 (79–87)
Female gender386 (41.5)1633 (55.8)1812 (49.9)1401 (56.5)3744 (49.1)3818 (62.0)3316 (49.9)
Hypertension619 (66.5)2194 (75.0)2566 (70.7)1971 (79.5)5521 (72.3)4741 (77.0)5235 (78.7)
Ischaemic heart disease186 (20.0)764 (26.1)831 (22.9)750 (30.3)1874 (24.6)1920 (31.2)2511 (37.8)
Peripheral artery disease73 (7.8)289 (9.9)366 (10.1)267 (10.8)796 (10.4)722 (11.7)898 (13.5)
Heart failure160 (17.2)902 (30.8)830 (22.9)982 (39.6)1979 (25.9)2490 (40.5)2904 (43.7)
Chronic kidney disease20 (2.1)146 (5.0)119 (3.3)311 (12.6)387 (5.1)1065 (17.3)1096 (16.5)
Diabetes mellitus114 (12.2)377 (12.9)485 (13.4)348 (14.0)1117 (14.6)962 (15.6)1187 (17.8)
Thyroid disorders32 (3.4)151 (5.2)146 (4.0)143 (5.8)321 (4.2)333 (5.4)385 (5.8)
Chronic lower234 (25.1)707 (24.2)944 (26.0)600 (24.2)2081 (27.3)1639 (26.6)1760 (26.5)
respiratory tract disorder
Active cancer (diagnosis last 12 months91 (9.8)283 (9.7)375 (10.3)277 (11.2)823 (10.8)715 (11.6)745 (11.2)
Dementia12 (1.3)88 (3.0)92 (2.5)94 (3.8)187 (2.5)276 (4.5)203 (3.1)
History of stroke/SE136 (14.6)528 (18.0)600 (16.5)411 (16.6)1253 (16.4)1117 (18.1)1096 (16.5)
History of ischaemic stroke134 (14.4)512 (17.5)588 (16.2)394 (15.9)1229 (16.1)1087 (17.7)1069 (16.1)
History of intracranial haemorrhage3 (0.3)27 (0.9)21 (0.6)23 (0.9)50 (0.7)67 (1.1)45 (0.7)
History of bleeding105 (11.3)448 (15.3)501 (13.8)432 (17.4)1106 (14.5)1273 (20.7)1225 (18.4)
History of gastrointestinal bleeding23 (2.5)131 (4.5)143 (3.9)143 (5.8)297 (3.9)372 (6.0)399 (6.0)
History of anaemia41 (4.4)237 (8.1)236 (6.5)276 (11.1)614 (8.0)812 (14.8)788 (11.8)
Use of antiplatelet drugs last 12 months494 (53.1)1789 (61.1)2127 (58.6)1581 (63.8)4384 (57.4)3830 (62.2)3803 (57.2)
Use of NSAIDs last 12 months242 (26.0)590 (20.2)770 (21.2)451 (18.2)1584 (20.8)987 (16.0)1128 (17.0)
Use of cholesterol lowering drugs461 (49.5)1463 (50.0)1770 (48.8)1264 (51.0)4107 (53.8)3174 (51.6)3735 (56.2)
Mean CHA2DS2-VaSc score (SD)3.9 (1.3)4.4 (1.4)4.2 (1.3)4.6 (1.4)4.3 (1.3)4.7 (1.4)4.7 (1.4)
Mean HAS-BLED score (SD)2.6 (0.95)2.8 (0.9)2.7 (0.95)3.0 (1.0)2.8 (0.98)3.0 (1.1)2.9 (1.0)

Values are numbers (per cent), unless otherwise stated.

CHA2DS2-VaSc, congestive heart failure (or left ventricular systolic dysfunction), hypertension, age ≥75 years, diabetes mellitus, prior stroke or transient ischaemic attack or systemic embolism, vascular disease, age ≥65 years, sex category; HAS-BLED, hypertension, abnormal renal function/ abnormal liver function, prior stroke, prior major bleeding, labile international normalised ratio (INR), elderly age ≥65 years, prior alcohol or drug abuse/use of medications that predispose to bleeding (antiplatelet agents, NSAIDs); NSAIDs, non-steroidal anti-inflammatory drugs; SE, systemic embolism.

Figure 2

Cumulative incidence of main effectiveness and safety outcomes for warfarin, standard (A) and reduced (B) dose NOACs. NOAC, non-vitamin K antagonist oral anticoagulant; SE, systemic embolism.

Cumulative incidence of main effectiveness and safety outcomes for warfarin, standard (A) and reduced (B) dose NOACs. NOAC, non-vitamin K antagonist oral anticoagulant; SE, systemic embolism. Baseline characteristics Values are numbers (per cent), unless otherwise stated. CHA2DS2-VaSc, congestive heart failure (or left ventricular systolic dysfunction), hypertension, age ≥75 years, diabetes mellitus, prior stroke or transient ischaemic attack or systemic embolism, vascular disease, age ≥65 years, sex category; HAS-BLED, hypertension, abnormal renal function/ abnormal liver function, prior stroke, prior major bleeding, labile international normalised ratio (INR), elderly age ≥65 years, prior alcohol or drug abuse/use of medications that predispose to bleeding (antiplatelet agents, NSAIDs); NSAIDs, non-steroidal anti-inflammatory drugs; SE, systemic embolism.

NOAC–warfarin comparisons

Results of the comparisons between NOACs and warfarin for the main outcomes stroke/SE and major bleeding, as well as ischaemic stroke, intracranial haemorrhage, gastrointestinal bleeding, any bleeding and all-cause mortality are shown in figure 3. We found similar risks of stroke/SE for both standard and reduced doses of all NOACs compared with warfarin. Both doses of apixaban were associated with lower risk of major bleeding compared with warfarin (standard dose SHR 0.74, 95% CI 0.60 to 0.91; reduced dose SHR 0.78, 95% CI 0.64 to 0.96), while use of both doses of dabigatran and rivaroxaban was associated with similar risks. For risk of all-cause mortality, no significant differences were found between standard dose of NOACs and warfarin, while reduced dose rivaroxaban (HR 1.42, 95% CI 1.25 to 1.61) and reduced dose apixaban (HR 1.38, 95% CI 1.22 to 1.56) were associated with significantly higher risk.
Figure 3

Number of events, crude incidence rates1 and subhazard ratios2 between standard (A) and reduced (B) dose NOACs and warfarin for all outcomes. 1Crude incidence rate, crude incidence/100 patient years; 2 competing risk regression, treating death as competing risk, adjusted for NOAC dose, gender, age, year of inclusion into the study, chronic kidney disease, hypertension, diabetes, ischaemic heart disease, peripheral artery disease, heart failure, dementia, thyroid disorders, active cancer (cancer diagnosis last 12 months), chronic lower respiratory tract disease, history of stroke/SE, history of bleeding-related hospitalisation, history of anaemia, use of cholesterol lowering drugs, use of antiplatelet drugs and use of NSAIDs during the last 12 months. *For risk of all-cause mortality multivariate Cox proportional regression adjusting for the same variables used in competing risk regression was performed. NOAC, non-vitamin K antagonist oral anticoagulant; NSAIDs, non-steroidal anti-inflammatory drugs; SE, systemic embolism.

Number of events, crude incidence rates1 and subhazard ratios2 between standard (A) and reduced (B) dose NOACs and warfarin for all outcomes. 1Crude incidence rate, crude incidence/100 patient years; 2 competing risk regression, treating death as competing risk, adjusted for NOAC dose, gender, age, year of inclusion into the study, chronic kidney disease, hypertension, diabetes, ischaemic heart disease, peripheral artery disease, heart failure, dementia, thyroid disorders, active cancer (cancer diagnosis last 12 months), chronic lower respiratory tract disease, history of stroke/SE, history of bleeding-related hospitalisation, history of anaemia, use of cholesterol lowering drugs, use of antiplatelet drugs and use of NSAIDs during the last 12 months. *For risk of all-cause mortality multivariate Cox proportional regression adjusting for the same variables used in competing risk regression was performed. NOAC, non-vitamin K antagonist oral anticoagulant; NSAIDs, non-steroidal anti-inflammatory drugs; SE, systemic embolism.

NOAC–NOAC comparisons

The results of NOAC–NOAC comparisons are shown in figure 4. No significant differences were found in risk of stroke/SE, except in the comparison between reduced dose of dabigatran and reduced dose of apixaban (SHR 0.77, 95% CI 0.60 to 0.98). Standard dose of apixaban was associated with significantly lower risk of major bleeding compared with standard dose of rivaroxaban (SHR 0.76, 95% CI 0.62 to 0.95). Further, reduced doses of apixaban and of dabigatran were associated with significantly lower risk of major bleeding compared with reduced doses of rivaroxaban (figure 4).
Figure 4

Number of events, crude incidence rates1 and subhazard ratios2 between standard (A) and reduced (B) dose NOACs for main outcomes and all-cause mortality. 1Crude incidence rate, crude incidence/100 patient years; 2competing risk regression, treating death as competing risk, adjusted for NOAC dose, gender, age, year of inclusion into the study, chronic kidney disease, hypertension, diabetes, ischaemic heart disease, peripheral artery disease, heart failure, dementia, thyroid disorders, active cancer (cancer diagnosis last 12 months), chronic lower respiratory tract disease, history of stroke/SE, history of bleeding-related hospitalisation, history of anaemia, use of cholesterol lowering drugs, use of antiplatelet drugs and use of NSAIDs during the last 12 months. *For risk of all-cause mortality, multivariate Cox proportional regression adjusting for the same variables used in competing risk regression was performed. NOAC, non-vitamin K antagonist oral anticoagulant; NSAIDs, non-steroidal anti-inflammatory drugs; SE, systemic embolism.

Number of events, crude incidence rates1 and subhazard ratios2 between standard (A) and reduced (B) dose NOACs for main outcomes and all-cause mortality. 1Crude incidence rate, crude incidence/100 patient years; 2competing risk regression, treating death as competing risk, adjusted for NOAC dose, gender, age, year of inclusion into the study, chronic kidney disease, hypertension, diabetes, ischaemic heart disease, peripheral artery disease, heart failure, dementia, thyroid disorders, active cancer (cancer diagnosis last 12 months), chronic lower respiratory tract disease, history of stroke/SE, history of bleeding-related hospitalisation, history of anaemia, use of cholesterol lowering drugs, use of antiplatelet drugs and use of NSAIDs during the last 12 months. *For risk of all-cause mortality, multivariate Cox proportional regression adjusting for the same variables used in competing risk regression was performed. NOAC, non-vitamin K antagonist oral anticoagulant; NSAIDs, non-steroidal anti-inflammatory drugs; SE, systemic embolism. The results of the sensitivity analyses (table 2) were in line with the main analyses with respect to the main outcomes stroke/SE and major bleeding. Regarding risk of all-cause death, the sensitivity analyses showed greater diversity in the results. Of particular interest is that in the ‘intention-to-treat-analyses’, the risk of all-cause death was lower or similar with reduced dose of NOACs compared with warfarin.
Table 2

Sensitivity analyses

Main analysis*Sensitivity analyses
90-day gap period†True OAC naive‡Standardised to 12-month follow-up§Intention to treat analysis¶
Standard dose NOACs vs warfarin
Stroke/SE Subhazard ratio (95% CI)
 WarfarinRefRefRefRefRef
 Dabigatran0.80 (0.57 to 1.13)0.82 (0.58 to 1.15)0.80 (0.56 to 1.14)0.95 (0.62 to 1.43)0.81 (0.62 to 1.08)
 Rivaroxaban1.07 (0.89 to 1.30)1.08 (0.89 to 1.30)1.02 (0.84 to 1.25)1.02 (0.80 to 1.30)0.97 (0.83 to 1.14)
 Apixaban0.95 (0.78 to 1.15)0.95 (0.78 to 1.16)0.92 (0.75 to 1.22)1.00 (0.79 to 1.28)0.88 (0.74 to 1.04)
Major bleeding Subhazard ratio (95% CI)
 WarfarinRefRefRefRefRef
 Dabigatran0.75 (0.52 to 1.08)0.73 (0.51 to 1.05)0.77 (0.73 to 1.12)0.86 (0.53 to 1.39)0.67 (0.50 to 0.87)
 Rivaroxaban0.96 (0.78 to 1.16)0.95 (0.78 to 1.15)0.90 (0.58 to 0.90)0.88 (0.67 to 1.16)0.84 (0.72 to 0.99)
 Apixaban0.74 (0.60 to 0.91)0.70 (0.57 to 0.87)0.72 (0.58 to 0.90)0.66 (0.50 to 0.86)0.63 (0.53 to 0.75)
All-cause death HR (95% CI)
 WarfarinRefRefRefRefRef
 Dabigatran0.77 (0.57 to 1.05)0.79 (0.54 to 0.91)0.75 (0.55 to 1.02)0.76 (0.49 to 1.20)0.66 (0.55 to 0.79)
 Rivaroxaban1.12 (0.97 to 1.28)0.90 (0.80 to 1.02)1.06 (0.91 to 1.23)0.96 (0.78 to 1.18)0.84 (0.77 to 0.92)
 Apixaban0.99 (0.85 to 1.15)0.79 (0.70 to 0.91)0.93 (0.79 to 1.08)0.84 (0.69 to 1.03)0.72 (0.65 to 0.80)
Reduced dose NOACs vs warfarin
Stroke/SE Subhazard ratio (95% CI)
 WarfarinRefRefRefRefRef
 Dabigatran0.87 (0.70 to 1.07)0.86 (0.70 to 1.06)0.83 (0.66 to 1.03)0.91 (0.70 to 1.18)0.87 (0.74 to 1.03)
 Rivaroxaban1.05 (0.85 to 1.30)1.08 (0.87 to 1.33)1.06 (0.85 to 1.32)1.19 (0.92 to 1.54)1.06 (0.89 to 1.26)
 Apixaban1.12 (0.92 to 1.38)1.15 (0.94 to 1.41)1.10 (0.89 to 1.35)1.15 (0.90 to 1.47)1.00 (0.84 to 1.18)
Major bleeding Subhazard ratio (95% CI)
 WarfarinRefRefRefRefRef
 Dabigatran0.85 (0.69 to 1.05)0.83 (0.68 to 1.03)0.86 (0.68 to 1.07)0.86 (0.65 to 1.14)0.87 (0.74 to 1.01)
 Rivaroxaban1.15 (0.95 to 1.40)1.14 (0.94 to 1.38)1.16 (0.94 to 1.42)1.15 (0.89 to 1.48)0.95 (0.81 to 1.12)
 Apixaban0.78 (0.64 to 0.96)0.79 (0.65 to 0.96)0.81 (0.66 to 1.00)0.77 (0.60 to 0.99)0.67 (0.57 to 0.80)
All-cause death HR (95% CI)
 WarfarinRefRefRefRefRef
 Dabigatran1.11 (0.97 to 1.27)0.89 (0.79 to 1.00)1.05 (0.91 to 1.21)1.08 (0.89 to 1.30)0.89 (0.82 to 0.96)
 Rivaroxaban1.42 (1.25 to 1.61)1.14 (1.02 to 1.27)1.35 (1.18 to 1.54)1.14 (0.95 to 1.36)0.98 (0.91 to 1.07)
 Apixaban1.38 (1.22 to 1.56)1.09 (0.99 to 1.22)1.34 (1.18 to 1.51)1.24 (1.06 to 1.44)0.96 (0.89 to 1.04)

*Multivariate competing risk regression, adjusted for NOAC dose, gender, age, year of inclusion into the study, chronic kidney disease, hypertension, diabetes, ischaemic heart disease, peripheral artery disease, heart failure, dementia, thyroid disorders, active cancer (cancer diagnosis last 12 months), chronic lower respiratory tract disease, history of stroke/SE, history of bleeding-related hospitalisation, history of anaemia, use of cholesterol lowering drugs, use of antiplatelet drugs and use of NSAIDs during the last 12 months, treating death as a competing risk.2

†Analyses of the risk of stroke/SE and major bleeding among users of different OACs, allowing a longer gap period of 90 days between the calculated end of OAC supply and a new prescription dispensing before censoring.

‡Analyses of the risk of stroke/SE and major bleeding among users of different OACs, excluding patients with a dispensing of any anticoagulant from pharmacies during the last 5 years (12 months was used in the main analyses).

§Analyses of the risk of stroke/SE and major bleeding restricting follow-up time for all OACs to 12 months.

¶An ‘intention-to-treat’-like analysis: investigating risk of stroke/SE and major bleeding without censoring by treatment switch or discontinuation of NOACs.

NOACs, non-vitamin K antagonist oral anticoagulants; NSAIDs, non-steroidal anti-inflammatory drugs; OACs, oral anticoagulants; SE, systemic embolism.

Sensitivity analyses *Multivariate competing risk regression, adjusted for NOAC dose, gender, age, year of inclusion into the study, chronic kidney disease, hypertension, diabetes, ischaemic heart disease, peripheral artery disease, heart failure, dementia, thyroid disorders, active cancer (cancer diagnosis last 12 months), chronic lower respiratory tract disease, history of stroke/SE, history of bleeding-related hospitalisation, history of anaemia, use of cholesterol lowering drugs, use of antiplatelet drugs and use of NSAIDs during the last 12 months, treating death as a competing risk.2 †Analyses of the risk of stroke/SE and major bleeding among users of different OACs, allowing a longer gap period of 90 days between the calculated end of OAC supply and a new prescription dispensing before censoring. ‡Analyses of the risk of stroke/SE and major bleeding among users of different OACs, excluding patients with a dispensing of any anticoagulant from pharmacies during the last 5 years (12 months was used in the main analyses). §Analyses of the risk of stroke/SE and major bleeding restricting follow-up time for all OACs to 12 months. ¶An ‘intention-to-treat’-like analysis: investigating risk of stroke/SE and major bleeding without censoring by treatment switch or discontinuation of NOACs. NOACs, non-vitamin K antagonist oral anticoagulants; NSAIDs, non-steroidal anti-inflammatory drugs; OACs, oral anticoagulants; SE, systemic embolism.

Discussion

In this nationwide cohort study of elderly patients ≥75 years with AF, we investigated risk of thromboembolic and bleeding events associated with use of standard and reduced doses of NOACs compared with warfarin and NOACs compared with NOACs. Comparing NOACs with warfarin, we found comparable rates of stroke/SE for both standard and reduced dose NOACs and that both doses of apixaban were associated with significantly lower risks of major bleeding. In the NOAC–NOAC comparisons, reduced dose dabigatran was associated with a significantly lower risk of stroke/SE than reduced dose apixaban, while reduced dose dabigatran as well as both doses of apixaban were associated with lower risks of major bleeding compared with the corresponding doses of rivaroxaban. The median age of patients included was 82 years and the mean CHA2DS2-VASc score was 4.5, implying that this was a truly high-risk population. To our knowledge, this is one of the first studies of an all-comers nationwide cohort of patients with AF ≥75 years, investigating a less selected group of elderly patients than most previous observational studies.12 13 23 24 Using high-quality nationwide registries with almost complete coverage14 reduces selection bias and eliminates loss-to-follow-up; important limitations for studies based on insurance claims databases (eligibility for insurance required)24 or prospective studies (healthy volunteer effect).13Also, using administrative health registries reduces information bias as all diagnoses are coded according to the ICD-10 system. Our findings were generally in line with subgroup analyses8–11 of the pivotal RCTs.4–6 From the RE-LY trial,4 subgroup analyses of the 7258 (40%) patients ≥75 years showed that the reduced risk of stroke/SE associated with dabigatran was maintained in the elderly population.11 Subgroup analyses of the 6229 (44%) patients ≥75 years included in the ROCKET-AF trial6 also showed a consistency in the effects of rivaroxaban versus warfarin regarding risk of stroke/SE across age groups, but a higher risk of major or clinically relevant non-major bleeding in patients >75 years.8 From the ARISTOTLE trial,5 subgroup analyses of the 5678 (31%) patients included ≥75 years showed that the benefits of apixaban in reducing risk of stroke/SE as well as major bleeding were maintained across all age groups.9 There are also some previous observational studies comparing NOACs versus warfarin in the elderly, with findings in line with our results.12 13 23 24 In a recent meta-analysis including 22 studies enrolling over 440 000 patients ≥75 years, indirect comparisons between NOACs (Bucher method) showed no significant differences between NOACs for risk of stroke/SE, but significant differences in risk of major bleeding; apixaban was associated with significantly lower risk of major bleeding compared with both dabigatran and rivaroxaban, while there was no significant difference between dabigatran and rivaroxaban.25 Importantly, methods of indirect comparisons could systematically overestimate or underestimate treatment effect, warranting cautious interpretation.26 Regarding all-cause death, we found similar risks for standard doses of all three NOACs compared with warfarin, while reduced doses of rivaroxaban and apixaban were associated with a significantly higher risk of all-cause mortality. This was unexpected, as the RCTs on NOACs versus warfarin showed similar or favourable risks of all-cause mortality. We believe this discrepancy is due to unmeasured confounders. First, we did not have information about body mass index, estimated glomerular filtration rate and frailty—factors important in choice of anticoagulant dose and also affecting risk of death. Second, lack of knowledge of these factors made it impossible to assess appropriateness of dosage. A recent study from the Global Anticoagulant Registry in the FIELD-AF (GARFIELD-AF) investigated degree of recommended and non-recommended dosing of NOACs among 10 426 patients with AF and found that 23.2% were underdosed and 3.8% were overdosed.27 Prescription of non-recommended doses was associated with a higher risk of all-cause mortality (HR 1.24, 95% CI 1.04 to 1.48). Patient characteristics leading clinicians to choose a non-recommended low dose are difficult to identify and adjust for, but influential for risk of all-cause mortality. Third, the sensitivity analyses showed consistency in all comparisons for stroke/SE and major bleeding, but great diversity for the risk of all-cause mortality, particularly when comparing reduced doses of NOACs with warfarin. This supports a stronger influence of residual confounding for this outcome, leading us to de-emphasise our findings. A net clinical benefit of oral anticoagulation in elderly patients with AF has been shown in several studies,2 28 29 but still many clinicians withhold anticoagulants due to fear of bleeding complications.30 This study might increase physician confidence in prescribing OACs to this vulnerable high-risk group of patients.

Strengths and limitations

With the active-comparator design, we tried to reduce confounding by indication. However, unknown/unmeasurable confounders are inevitably present in observational studies, leading to residual confounding. Outcomes were not adjudicated, thus miscoding and under-reporting will be present, but likely equally for all NOACs. Information about the reason for dose reduction of NOACs was lacking, and some patients may have received non-recommended reduced doses. We therefore analysed standard and reduced dose NOACs separately. Furthermore, the criteria warranting dose reduction vary between NOACs, complicating comparisons. Perhaps most notably, in Europe the reduced dose dabigatran is recommended for all patients ≥80 years.3 Accordingly, the reduced dose may be viewed as ‘standard’ for elderly patients using dabigatran. No subgroup analyses with respect to age were performed due to concern with statistical power. We studied use of OACs according to prescriptions dispensed, not drugs actually taken. Finally, this study describes associations rather than drawing causal inferences.

Conclusion

In this real-world study of patients ≥75 years initiating oral anticoagulation for AF, standard and reduced dose NOACs were associated with similar risks of stroke/SE as warfarin and lower or similar risks of bleeding. The NOACs seem to be a safe option also in elderly patients. Non-vitamin K antagonist oral anticoagulants (NOACs) are firmly established as the preferred class of drugs for stroke prophylaxis in atrial fibrillation (AF). No randomised controlled trials (RCTs) have specifically investigated the efficacy and safety of NOACs compared with warfarin or NOACs compared with NOACs, among elderly patients with AF. This real-world study adds insight into the comparative effectiveness and safety of NOACs in the elderly population with AF compared with warfarin but also when compared with each other. It supports the findings from subgroup analyses of the pivotal RCTs comparing NOAC versus warfarin, that NOACs are an effective and safe option also for elderly patients with AF with their higher stroke and bleeding risk. The results from this study could increase physician confidence in prescribing oral anticoagulants for elderly patients. It could also serve as a hypothesis generator for RCTs comparing NOAC versus NOAC.
  27 in total

1.  Bias Due to Confounders for the Exposure-Competing Risk Relationship.

Authors:  Catherine R Lesko; Bryan Lau
Journal:  Epidemiology       Date:  2017-01       Impact factor: 4.822

Review 2.  Age as a Risk Factor for Stroke in Atrial Fibrillation Patients: Implications in Thromboprophylaxis in the Era of Novel Oral Anticoagulants.

Authors:  Konstantina Mitrousi; Gregory Y H Lip; Stavros Apostolakis
Journal:  J Atr Fibrillation       Date:  2013-06-30

3.  Oral Anticoagulation in Very Elderly Patients With Atrial Fibrillation: A Nationwide Cohort Study.

Authors:  Tze-Fan Chao; Chia-Jen Liu; Yenn-Jiang Lin; Shih-Lin Chang; Li-Wei Lo; Yu-Feng Hu; Ta-Chuan Tuan; Jo-Nan Liao; Fa-Po Chung; Tzeng-Ji Chen; Gregory Y H Lip; Shih-Ann Chen
Journal:  Circulation       Date:  2018-02-28       Impact factor: 29.690

4.  Comparing the Effectiveness and Safety of Nonvitamin K Antagonist Oral Anticoagulants and Warfarin in Elderly Asian Patients With Atrial Fibrillation: A Nationwide Cohort Study.

Authors:  Tze-Fan Chao; Chern-En Chiang; Jo-Nan Liao; Tzeng-Ji Chen; Gregory Y H Lip; Shih-Ann Chen
Journal:  Chest       Date:  2019-12-03       Impact factor: 9.410

5.  Apixaban versus warfarin in patients with atrial fibrillation.

Authors:  Christopher B Granger; John H Alexander; John J V McMurray; Renato D Lopes; Elaine M Hylek; Michael Hanna; Hussein R Al-Khalidi; Jack Ansell; Dan Atar; Alvaro Avezum; M Cecilia Bahit; Rafael Diaz; J Donald Easton; Justin A Ezekowitz; Greg Flaker; David Garcia; Margarida Geraldes; Bernard J Gersh; Sergey Golitsyn; Shinya Goto; Antonio G Hermosillo; Stefan H Hohnloser; John Horowitz; Puneet Mohan; Petr Jansky; Basil S Lewis; Jose Luis Lopez-Sendon; Prem Pais; Alexander Parkhomenko; Freek W A Verheugt; Jun Zhu; Lars Wallentin
Journal:  N Engl J Med       Date:  2011-08-27       Impact factor: 91.245

6.  Efficacy and safety of rivaroxaban compared with warfarin among elderly patients with nonvalvular atrial fibrillation in the Rivaroxaban Once Daily, Oral, Direct Factor Xa Inhibition Compared With Vitamin K Antagonism for Prevention of Stroke and Embolism Trial in Atrial Fibrillation (ROCKET AF).

Authors:  Jonathan L Halperin; Graeme J Hankey; Daniel M Wojdyla; Jonathan P Piccini; Yuliya Lokhnygina; Manesh R Patel; Günter Breithardt; Daniel E Singer; Richard C Becker; Werner Hacke; John F Paolini; Christopher C Nessel; Kenneth W Mahaffey; Robert M Califf; Keith A A Fox
Journal:  Circulation       Date:  2014-06-03       Impact factor: 29.690

7.  Net Clinical Benefit of Non-Vitamin K Antagonist vs Vitamin K Antagonist Anticoagulants in Elderly Patients with Atrial Fibrillation.

Authors:  Giuseppe Patti; Ladislav Pecen; Markus Lucerna; Kurt Huber; Miklos Rohla; Giulia Renda; Jolanta Siller-Matula; Fabrizio Ricci; Paulus Kirchhof; Raffaele De Caterina
Journal:  Am J Med       Date:  2019-01-19       Impact factor: 4.965

8.  Efficacy and safety of apixaban compared with warfarin according to age for stroke prevention in atrial fibrillation: observations from the ARISTOTLE trial.

Authors:  Sigrun Halvorsen; Dan Atar; Hongqiu Yang; Raffaele De Caterina; Cetin Erol; David Garcia; Christopher B Granger; Michael Hanna; Claes Held; Steen Husted; Elaine M Hylek; Petr Jansky; Renato D Lopes; Witold Ruzyllo; Laine Thomas; Lars Wallentin
Journal:  Eur Heart J       Date:  2014-02-20       Impact factor: 29.983

9.  Safety and efficacy of non-vitamin K antagonist oral anticoagulants in elderly patients with atrial fibrillation: systematic review and meta-analysis of 22 studies and 440 281 patients.

Authors:  Angelo Silverio; Marco Di Maio; Costantina Prota; Elena De Angelis; Ilaria Radano; Rodolfo Citro; Albino Carrizzo; Michele Ciccarelli; Carmine Vecchione; Davide Capodanno; Gennaro Galasso
Journal:  Eur Heart J Cardiovasc Pharmacother       Date:  2021-04-09

10.  A nationwide registry study to compare bleeding rates in patients with atrial fibrillation being prescribed oral anticoagulants.

Authors:  Sigrun Halvorsen; Waleed Ghanima; Ingunn Fride Tvete; Cecilie Hoxmark; Pål Falck; Oddvar Solli; Christian Jonasson
Journal:  Eur Heart J Cardiovasc Pharmacother       Date:  2016-09-27
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1.  Effectiveness and Safety of Dabigatran Compared to Vitamin K Antagonists in Non-Asian Patients with Atrial Fibrillation: A Systematic Review and Meta-Analysis.

Authors:  Carlos Escobar; Vivencio Barrios; Gregory Y H Lip; Alpesh N Amin; Ariadna Auladell-Rispau; Marilina Santero; Josefina Salazar; Carolina Requeijo
Journal:  Clin Drug Investig       Date:  2021-10-13       Impact factor: 2.859

2.  Non-Vitamin K Oral Anticoagulants Assessment in High Risk of Bleeding Patients with Non-Valvular Atrial Fibrillation.

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Review 3.  Expert Recommendations on the Usage of Non-vitamin K Antagonist Oral Anticoagulants (NOACs) from India: Current Perspective and Future Direction.

Authors:  Balbir Singh; Paresh Pai; Harish Kumar; Sheeba George; Sandeep Mahapatra; Vineet Garg; G N Gupta; Kiran Makineni; Gaurav Ganeshwala; Pravin Narkhede; Syed M H Naqvi; Kumar Gaurav; Mohammed Y K Hukkeri
Journal:  Cardiol Ther       Date:  2022-02-08

Review 4.  Switching from warfarin to direct-acting oral anticoagulants: it is time to move forward!

Authors:  Mahmoud Abdelnabi; Juthipong Benjanuwattra; Osama Okasha; Abdallah Almaghraby; Yehia Saleh; Fady Gerges
Journal:  Egypt Heart J       Date:  2022-03-28

5.  Potentially Inappropriate Medication Prescribing in Older Adults According to EU(7)-Potentially Inappropriate Medication List: A Nationwide Study in Portugal.

Authors:  Daniela A Rodrigues; Ana I Plácido; Ana Bárbara Tavares; Daniela Azevedo; Ramona Mateos-Campos; Adolfo Figueiras; Maria Teresa Herdeiro; Fátima Roque
Journal:  Curr Ther Res Clin Exp       Date:  2022-07-13

6.  Safety and Efficacy of Carbon-Ion Radiotherapy for Elderly Patients with High-Risk Prostate Cancer.

Authors:  Yuichi Hiroshima; Hitoshi Ishikawa; Yuma Iwai; Masaru Wakatsuki; Takanobu Utsumi; Hiroyoshi Suzuki; Koichiro Akakura; Masaoki Harada; Hideyuki Sakurai; Tomohiko Ichikawa; Hiroshi Tsuji
Journal:  Cancers (Basel)       Date:  2022-08-19       Impact factor: 6.575

7.  Nine-Year Trends in Prevention of Thromboembolic Complications in Elderly Patients with Atrial Fibrillation Treated with NOACs.

Authors:  Bernadetta Bielecka; Iwona Gorczyca-Głowacka; Beata Wożakowska-Kapłon
Journal:  Int J Environ Res Public Health       Date:  2022-09-21       Impact factor: 4.614

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