Skip to main content
JACC Asia logoLink to JACC Asia
. 2022 Nov 15;2(6):720–733. doi: 10.1016/j.jacasi.2022.07.008

Oral Anticoagulants in Very Elderly Nonvalvular Atrial Fibrillation Patients With High Bleeding Risks

ANAFIE Registry

Ken Okumura a,, Takeshi Yamashita b, Masaharu Akao c, Hirotsugu Atarashi d, Takanori Ikeda e, Yukihiro Koretsune f, Wataru Shimizu g, Shinya Suzuki b, Hiroyuki Tsutsui h, Kazunori Toyoda i, Atsushi Hirayama j, Masahiro Yasaka k, Takenori Yamaguchi i, Satoshi Teramukai l, Tetsuya Kimura m, Yoshiyuki Morishima m, Atsushi Takita n, Hiroshi Inoue o
PMCID: PMC9700004  PMID: 36444326

Abstract

Background

Data on the effectiveness and safety of oral anticoagulant (OAC) agents in very elderly nonvalvular atrial fibrillation patients with high bleeding risk are lacking.

Objectives

This study examined 2-year outcomes and effects of OAC agents among these patients using the ANAFIE (All Nippon Atrial Fibrillation in the Elderly) registry (N = 32,275) data.

Methods

Patients were classified into high-risk (age: ≥80 years; CHADS2 score: ≥2; and presence of ≥1 bleeding risk factor: creatinine clearance of 15-30 mL/minute, prior bleeding at critical sites, body weight of ≤45 kg, or continuous antiplatelet use) and reference groups.

Results

In the high-risk (n = 7,104) and reference (n = 25,171) group patients, 89.0% and 93.4%, respectively, used OAC agents. Of these, respectively, 30.1% and 24.2% used warfarin, and 58.9% and 69.1% used direct-acting OAC (DOAC) agents. Compared with the reference group, the high-risk group had higher incidences of stroke/systemic embolism, major bleeding, intracranial hemorrhage, gastrointestinal bleeding, cardiovascular events, and all-cause death. In the high-risk group, DOAC agent use vs nonuse of OAC agents was associated with reduced incidences of stroke/systemic embolism (HR: 0.53; 95% CI: 0.36-0.79) and all-cause death (HR: 0.65; 95% CI: 0.52-0.81) but not with major bleeding (HR: 1.09; 95% CI: 0.63-1.89). DOAC agents were superior to warfarin in effectiveness and safety. For high-risk patients, history of major bleeding, severe liver dysfunction, and falls within 1 year were independent risk factors for major bleeding.

Conclusions

High-risk elderly nonvalvular atrial fibrillation patients had higher event incidences. DOAC agents were associated with reduced risk of stroke/systemic embolism and all-cause death vs nonuse of OAC agents or warfarin. (Prospective Observational Study in Late-Stage Elderly Patients With Nonvalvular Atrial Fibrillation [ANAFIE registry]; UMIN000024006)

Key Words: anticoagulants, atrial fibrillation, high risk, outcomes, very elderly

Abbreviations and Acronyms: AF, atrial fibrillation; CrCl, creatinine clearance; DOAC, direct-acting oral anticoagulant; NVAF, nonvalvular atrial fibrillation; OAC, oral anticoagulant; SE, systemic embolism; TTR, time in the therapeutic range

Central Illustration

graphic file with name fx1.jpg


Worldwide, atrial fibrillation (AF) is the most common sustained arrhythmia affecting adults, with more than 33 million affected individuals,1 and is considered a well established and growing global epidemic.2 AF is associated with high morbidity and mortality among those affected. Because aging is the most important risk factor for developing AF,3 AF-related complications, such as cardiac dysfunction and stroke,4 and their sequelae are expected to increase.

Therapeutic and management strategies and stroke prevention are evolving and improving.5 Based on the results of large-scale clinical trials, various guidelines recommend administering oral anticoagulant (OAC) agents, especially direct-acting OAC (DOAC) agents, to prevent stroke in patients with AF, including elderly patients.6 It is, however, necessary to rigorously evaluate the current status of OAC agent use and outcomes among very elderly patients, who are generally excluded from most clinical trials. Additionally, treating very elderly patients with AF poses a considerable challenge, not only because of the aging process and its consequences but because of comorbidities, associated complications,3 and increased risk of bleeding.7,8

The recent ELDERCARE-AF (Edoxaban Low-Dose for Elder Care Atrial Fibrillation Patients) trial showed that once-daily, very-low-dose edoxaban (15 mg) was superior to placebo in reducing stroke/systemic embolism (SE) in AF patients aged ≥80 years who were at high risk of bleeding and possibly ineligible for standard OAC therapy, and nonsignificantly increased major bleeding.9 Nevertheless, there is insufficient real-world evidence of the effectiveness and safety of OAC agents in nonvalvular AF (NVAF) patients who meet the ELDERCARE-AF eligibility criteria, that is, very elderly patients with high bleeding risk. The purposes of the present exploratory subanalysis of the ANAFIE (All Nippon AF in the Elderly) registry were to examine the prescription rate of OAC agents and the 2-year rate of events of interest among high-bleeding-risk patients and to describe the effect of OAC agents in this high-bleeding-risk population.9

Methods

Study design and population

The ANAFIE registry was a large-scale, prospective, observational, real-world data study of more than 30,000 elderly (≥75 years of age) Japanese patients with NVAF, irrespective of OAC agent use, who were followed up for 2 years.10 The rationale, detailed study design, and methodology of the ANAFIE registry (UMIN000024006) have already been published.11 The study complied with the Declaration of Helsinki, the locally appointed ethics committees approved the research protocol, and participants provided informed consent.

For the present subanalysis, patients enrolled in the ANAFIE registry were classified into 2 groups, the ELDERCARE-AF–like high-risk group, defined as the patients who met the eligibility criteria for the ELDERCARE-AF trial (high-risk group), and the reference group, defined as the patients who did not meet the ELDERCARE-AF trial criteria.9 The criteria for inclusion in the high-risk group were age of ≥80 years; a CHADS2 score of ≥2; and the presence of ≥1 bleeding risk factor: creatinine clearance (CrCl) of 15-30 mL/min, except for patients with CrCl of <15 mL/min or undergoing dialysis; prior bleeding history at critical sites (ie, major upper or lower gastrointestinal bleeding or intracranial hemorrhage); body weight of ≤45 kg12; and continuous single antiplatelet use (eg, aspirin, P2Y12 inhibitor, or other).

Study measures

Events of interest evaluated in this analysis included the incidences of stroke/SE; major bleeding; all bleeding events (major bleeding, clinically relevant bleeding, and minor bleeding); intracranial hemorrhage; gastrointestinal bleeding; cardiovascular events including stroke/SE, myocardial infarction, heart failure, and cardiovascular death; all-cause death; and net clinical outcome (a composite of stroke/SE, major bleeding, and all-cause death) over the 2-year follow-up period. The events occurring in the high-risk group vs the reference group; the events occurring in the high-risk group according to DOAC agent vs warfarin and DOAC agent vs nonuse of OAC agents; and the independent risk factors for stroke/SE, major bleeding, and intracranial hemorrhage were explored.

DOAC agent doses were defined as previously reported.13 Briefly, a standard dose was defined as the dose according to the label specified for patients not meeting the dose-reduction criteria; a reduced dose was the dose according to the label specified for patients who met the dose-reduction criteria; an overdose was the standard dose prescribed to patients who met the reduced-dose criteria; an underdose was the reduced dose prescribed to patients who did not meet the dose-reduction criteria; and an off-label underdose was any dose lower than that specified by the label.

Statistical analysis

The details of the statistical analysis and sample size calculations of the ANAFIE registry have been reported previously.11,14 Summary statistics were obtained for continuous variables, and a 2-sample Student’s t-test was used to calculate P values. Categorical variables were summarized using numbers and percentages, and P values were calculated using the chi-square test.

The Kaplan-Meier method was used to estimate the cumulative incidence rates of the events of interest at 2 years in the high-risk and reference groups. The log-rank test was used for between-group comparison.

For the comparison of incidence rates in the high-risk vs reference group, the Cox proportional hazards model was used, and HRs and 95% CIs were calculated. In this analysis, anticoagulant therapy was entered in the statistical model. To compare incidence rates between OAC agent use vs nonuse of OAC agents and to identify independent risk factors for stroke/SE, major bleeding, and intracranial hemorrhage, the variables possibly associated with the selection of anticoagulant therapy or incidence of outcomes were entered in the statistical model. All statistical analyses were performed using SAS version 9.4 or higher (SAS Institute).

Results

Patients

Figure 1 shows the patient disposition. Of the patients enrolled in the ANAFIE registry (N = 32,275), 22.0% (n = 7,104) were included in the high-risk group. The remaining 78.0% (n = 25,171) of patients made up the reference group.

Figure 1.

Figure 1

Patient Disposition

A total of 32,275 patients were enrolled in the ANAFIE registry, of whom 7,104 (22.0%) met the eligibility criteria for the ELDERCARE-AF trial (high-risk group). These criteria were age of ≥80 years; a CHADS2 score of ≥2; and the presence of ≥1 bleeding risk factor: creatinine clearance of 15-30 mL/min; patients with CrCl of <15 mL/minute or undergoing dialysis; prior bleeding history at critical sites (ie, major upper or lower gastrointestinal bleeding or intracranial hemorrhage); body weight of ≤45 kg; and continuous single antiplatelet use (eg, aspirin, P2Y12 inhibitor, or other) did not meet the ELDERCARE-AF trial inclusion criteria. The reference group was composed of the 25,171 patients (78.0%) who did not meet the ELDERCARE-AF criteria. ANAFIE = All Nippon Atrial Fibrillation in the Elderly; ELDERCARE-AF = Edoxaban Low-Dose for Elder Care Atrial Fibrillation Patients.

Table 1 summarizes the main characteristics of patients in the high-risk and reference groups. Compared with the reference group, the high-risk group patients were older and had a higher prevalence of female sex, lower body weight, and lower CrCl. The prevalence of OAC agent use was slightly lower in the high-risk group (89.0%) than in the reference group (93.4%), and the rate of warfarin use was higher in the high-risk group (30.1%) than in the reference group (24.2%), whereas the rate of DOAC use was lower in the high-risk group (58.9%) than in the reference group (69.1%). In the high-risk group, 4.4% and 71.5% of patients received DOAC agents at standard doses and on-label reduced doses, respectively; in the reference group, 20.9% and 37.7% of patients were receiving DOAC agents at standard and on-label reduced doses, respectively. The other patients received underdoses (ie, reduced doses not meeting dose-reduction criteria; 7.3% in the high-risk group and 19.1% in the reference group), overdoses (ie, standard doses meeting the dose-reduction criteria; 2.9% in the high-risk group and 3.3% in the reference group), off-label (ie, nonapproved) low doses (5.9% in the high-risk group and 3.2% in the reference group), or unknown doses (8.1% in the high-risk group and 15.8% in the reference group). In patients receiving warfarin, the mean time in the therapeutic range (TTR) was lower in the high-risk group (71.0%) than in the reference group (77.1%); however, almost half of the patients evaluated had a TTR of ≥80% in both groups.

Table 1.

Patient Characteristics

ANAFIE Registry (N = 32,275)
High-Risk Group (n = 7,104) Reference Group (n = 25,171) P Value
Men 3,109 (43.8) 15,373 (61.1) <0.001
Age, y 85.3 ± 4.0 80.4 ± 4.4 <0.001
Body weight, kg 51.2 ± 11.1 59.8 ± 10.4 <0.001
Systolic blood pressure, mm Hg 126.2 ± 18.1 127.7 ± 16.7 <0.001
CrCl, mL/min 35.4 ± 13.9 52.4 ± 17.5 <0.001
CHADS2 score 3.2 ± 1.1 2.8 ± 1.2 <0. 001
HAS-BLED score 2.2 ± 0.9 1.8 ± 0.8 <0.001
History of major bleeding 740 (10.4) 699 (2.8) <0.001
AF type <0.001
 Paroxysmal 2,844 (40.0) 10,742 (42.7)
 Persistent 1,162 (16.4) 4,174 (16.6)
 Long-standing persistent/permanent 3,098 (43.6) 10,255 (40.7)
Oral anticoagulant agents 6,324 (89.0) 23,506 (93.4) <0.001
 Warfarin 2,139 (30.1) 6,094 (24.2) <0.001
 TTR, % 71.0 ± 31.3 77.1 ± 29.1 <0.001
 <40 338 (15.8) 690 (11.3)
 40 to <60 231 (10.8) 490 (8.0)
 60 to <80 329 (15.4) 822 (13.5)
 ≥80 935 (43.7) 3,046 (50.0)
 Unknown 306 (14.3) 1,046 (17.2)
 DOAC agents 4,184 (58.9) 17,401 (69.1) <0.001
 Approved doses 3,599 (86.0) 14,103 (81.0)
 Standard doses 183 (4.4) 3,643 (20.9)
 Reduced doses 2,990 (71.5) 6,558 (37.7)
 Overdosesa 122 (2.9) 576 (3.3)
 Underdosesb 304 (7.3) 3,326 (19.1)
 Off-label low doses 245 (5.9) 550 (3.2)
 Unknown 340 (8.1) 2,748 (15.8)
Antiplatelet agents 3,024 (42.6) 2,680 (10.6) <0.001
History of nonpharmacologic therapy for AF 1,072 (15.1) 4,605 (18.3) <0.001
 Catheter ablation 324 (4.6) 2,646 (10.5) <0.001
 Electrical defibrillation 130 (1.8) 585 (2.3) 0.013
Comorbidities 7,067 (99.5) 24,333 (96.7) <0.001
 Hypertension 5,841 (82.2) 18,471 (73.4) <0.001
 Diabetes mellitus 2,037 (28.7) 6,696 (26.6) <0.001
 Chronic kidney disease 2,236 (31.5) 4,469 (17.8) <0.001
 Myocardial infarction 683 (9.6) 1,168 (4.6) <0.001
 Heart failure 3,689 (51.9) 8,427 (33.5) <0.001
 History of cerebrovascular disease 2,130 (30.0) 5,173 (20.6) <0.001
 Gastrointestinal diseases 2,406 (33.9) 7,061 (28.1) <0.001
 Active cancer 737 (10.4) 2,832 (11.3) 0.038
 Dementia 948 (13.3) 1,564 (6.2) <0.001
 Fall within 1 year 760 (10.7) 1,587 (6.3) <0.001

Values are n (%) or mean ± SD.

AF = atrial fibrillation; ANAFIE = All Nippon Atrial Fibrillation in the Elderly; CrCl = creatinine clearance; DOAC = direct-acting oral anticoagulant; TTR = time in the therapeutic range.

a

Overdose was defined as the standard dose prescribed to patients who met the reduced-dose criteria.

b

Underdose was defined as the reduced dose prescribed to patients who did not meet the reduced-dose criteria.

Comparison of the incidences of major outcomes by group

The 2-year incidence rates in the high-risk and reference groups are shown in Table 2. Stroke/SE occurred in 3.8% and 2.8%, respectively; major bleeding in 2.8% and 1.8%, respectively; intracranial hemorrhage in 1.7% and 1.3%, respectively; gastrointestinal bleeding in 4.4% and 3.3%, respectively; cardiovascular events in 17.5% and 8.7%, respectively; and all-cause death in 12.5% and 5.4%, respectively. The cumulative incidence rates of the main outcomes are presented in the Central Illustration and Figure 2. Both univariate and multivariate analyses revealed that compared with the reference group, the high-risk group had higher cumulative incidences of all events (P < 0.001 for all events, except for intracranial hemorrhage [P = 0.007]).

Table 2.

Comparison of the Incidences of Major Outcomes by Groupa

Outcome Group Events (%) Univariate Analysis
Multivariate Analysisb
HR (95% CI) P Value HR (95% CI) P Value
Stroke/systemic embolism High risk 270 (3.8) 1.43 (1.24-1.64) <0.001 1.39 (1.21-1.60) <0.001
Reference 700 (2.8)
Stroke High risk 260 (3.7) 1.41 (1.22-1.62) <0.001 1.37 (1.18-1.58) <0.001
Reference 685 (2.7)
Ischemic stroke High risk 206 (2.9) 1.42 (1.21-1.67) <0.001 1.37 (1.16-1.61) <0.001
Reference 537 (2.1)
Hemorrhagic stroke High risk 51 (0.7) 1.25 (0.91-1.72) 0.162 1.26 (0.91-1.73) 0.161
Reference 150 (0.6)
Systemic embolism High risk 13 (0.2) 3.16 (1.51-6.65) 0.002 2.96 (1.40-6.25) 0.004
Reference 15 (0.1)
Major bleeding High risk 198 (2.8) 1.64 (1.39-1.94) <0.001 1.61 (1.36-1.90) <0.001
Reference 447 (1.8)
Clinically relevant nonmajor bleeding High risk 181 (2.6) 1.35 (1.14-1.60) <0.001 1.36 (1.15-1.62) <0.001
Reference 494 (2.0)
Minor bleeding High risk 344 (4.8) 1.23 (1.09-1.39) 0.001 1.25 (1.10-1.41) <0.001
Reference 1,036 (4.1)
All bleeding eventsc High risk 675 (9.5) 1.33 (1.22-1.46) <0.001 1.34 (1.23-1.47) <0.001
Reference 1,880 (7.5)
Intracranial hemorrhage High risk 122 (1.7) 1.36 (1.11-1.68) 0.004 1.33 (1.08-1.64) 0.007
Reference 331 (1.3)
Gastrointestinal bleeding High risk 309 (4.4) 1.38 (1.21-1.57) <0.001 1.39 (1.22-1.58) <0.001
Reference 829 (3.3)
Cardiovascular events High risk 1,240 (17.5) 2.18 (2.03-2.34) <0.001 2.13 (1.98-2.28) <0.001
Reference 2,177 (8.7)
All-cause death High risk 886 (12.5) 2.42 (2.23-2.64) <0.001 2.33 (2.14-2.54) <0.001
Reference 1,355 (5.4)
Cardiovascular death High risk 303 (4.3) 3.20 (2.75-3.74) <0.001 3.04 (2.61-3.55) <0.001
Reference 351 (1.4)
Net clinical outcome High risk 1,148 (16.2) 2.01 (1.88-2.16) <0.001 1.95 (1.82-2.10) <0.001
Reference 2,124 (8.4)
a

High-risk group: n = 7,104; reference group: n = 25,171.

b

Anticoagulant agent use was included as an adjustment factor in the model.

c

All bleeding events (major bleeding, clinically relevant bleeding, and minor bleeding).

Central Illustration.

Central Illustration

Kaplan–Meier Curves for the Main Outcomes

The criteria for inclusion in the ELDERCARE-AF–like high-risk group were age of ≥80 years, a CHADS2 score of ≥2, and the presence of ≥1 bleeding risk factor: creatinine clearance of 15-30 mL/min; prior bleeding history at critical sites; body weight of ≤45 kg; and continuous single antiplatelet use. The reference group included all other patients. Cumulative incidence rates are shown for the main outcomes of stroke/systemic embolism, major bleeding, cardiovascular events, and all-cause death. The high-risk group had higher cumulative incidences of all these events compared with the reference group (P < 0.001). ELDERCARE-AF = Edoxaban Low-Dose for Elder Care Atrial Fibrillation Patients.

Figure 2.

Figure 2

Kaplan-Meier Curves for Intracranial Hemorrhage and Gastrointestinal Bleeding

Cumulative incidence rates are shown for intracranial hemorrhage and gastrointestinal bleeding. The high-risk group had higher cumulative incidences of gastrointestinal bleeding (P < 0.001) and intracranial hemorrhage (P = 0.003) compared with the reference group.

Among the high-risk group patients prescribed with DOAC agents, the 2-year incidences of stroke/SE, major bleeding, and all-cause mortality were 3.3%, 2.6%, and 11.6%, respectively, in patients receiving on-label DOAC doses (n = 3,173; standard and reduced doses), whereas the incidences were 2.0%, 2.0%, and 11.5%, respectively, in those receiving inappropriately reduced off-label doses (n = 549; underdoses and off-label low doses) (data not shown).

Comparison of main outcomes according to anticoagulant agent use in the high-risk group

Table 3 shows the HRs for each event in the Cox proportional hazards model for the high-risk group according to OAC agent use (DOAC agent vs warfarin and vs nonuse of OAC agents) with univariate and multivariate analyses. Stroke/SE, all-cause death, cardiovascular death, and net clinical outcome rates were significantly lower in the DOAC agent–treated group compared with the nonuse-of-OAC-agents group, whereas major bleeding rates did not significantly increase with DOAC agent treatment. The rate for all bleeding events (major bleeding, clinically relevant bleeding, and minor bleeding) was significantly higher in the DOAC agent–treated group than in the nonuse-of-OAC-agents group. Stroke/SE, major bleeding, intracranial hemorrhage, and net clinical outcome rates were significantly lower in the DOAC agent–treated group compared with the warfarin-treated patients, but no significant differences were observed for gastrointestinal bleeding, all-cause death, or cardiovascular death.

Table 3.

Comparison of Main Outcomes According to Anticoagulant Agent Use in the High-Risk Group

Event By Type of Anticoagulant Agent n Events (%) Univariate Analysis
Multivariate Analysisa
HR (95% CI) P Value HR (95% CI) P Value
Stroke/systemic embolism Warfarin 2,139 96 (4.5) Reference Reference
vs
DOAC agent 4,184 135 (3.2) 0.71 (0.54-0.92) 0.010 0.73 (0.55-0.95) 0.021
Nonuse of OAC agent 780 39 (5.0) Reference Reference
vs
DOAC agent 4,184 135 (3.2) 0.62 (0.44-0.89) 0.009 0.53 (0.36-0.78) 0.001
Major bleeding Warfarin 2,139 76 (3.6) Reference Reference
vs
DOAC agent 4,184 106 (2.5) 0.70 (0.52-0.94) 0.018 0.71 (0.53-0.97) 0.029
Nonuse of OAC agent 780 16 (2.1) Reference Reference
vs
DOAC agent 4,184 106 (2.5) 1.20 (0.71-2.03) 0.499 1.09 (0.63-1.89) 0.752
All bleeding eventsb Warfarin 2,139 225 (10.5) Reference Reference
vs
DOAC agent 4,184 405 (9.7) 0.91 (0.77-1.07) 0.233 0.93 (0.79-1.10) 0.421
Nonuse of OAC agent 780 22 (5.8) Reference Reference
vs
DOAC agent 4,184 405 (9.7) 1.65 (1.22-2.25) 0.001 1.68 (1.22-2.31) 0.001
Intracranial hemorrhage Warfarin 2,139 51 (2.4) Reference Reference
vs
DOAC agent 4,184 58 (1.4) 0.57 (0.39-0.83) 0.004 0.57 (0.38-0.84) 0.004
Nonuse of OAC agent 780 13 (1.7) Reference Reference
vs
DOAC agent 4,184 58 (1.4) 0.81 (0.44-1.47) 0.483 0.78 (0.41-1.47) 0.437
Gastrointestinal bleeding Warfarin 2,139 92 (4.3) Reference Reference
vs
DOAC agent 4,184 192 (4.6) 1.05 (0.82-1.35) 0.680 1.11 (0.86-1.44) 0.406
Nonuse of OAC agent 780 25 (3.2) Reference Reference
vs
DOAC agent 4,184 192 (4.6) 1.40 (0.92-2.12) 0.114 1.36 (0.88-2.08) 0.165
All-cause death Warfarin 2,139 300 (14.0) Reference Reference
vs
DOAC agent 4,184 473 (11.3) 0.79 (0.69-0.92) 0.002 0.88 (0.76-1.02) 0.092
Nonuse of OAC agent 780 113 (14.5) Reference Reference
vs
DOAC agent 4,184 473 (11.3) 0.75 (0.61-0.93) 0.007 0.65 (0.52-0.81) <0.001
Cardiovascular death Warfarin 2,139 104 (4.9) Reference Reference
vs
DOAC agent 4,184 161 (3.9) 0.78 (0.61-0.99) 0.044 0.91 (0.70-1.17) 0.445
Nonuse of OAC agent 780 38 (4.9) Reference Reference
vs
DOAC agent 4,184 161 (3.9) 0.76 (0.54-1.09) 0.133 0.62 (0.43-0.91) 0.014
Net clinical outcome Warfarin 2,139 394 (18.4) Reference Reference
vs
DOAC agent 4,184 607 (14.5) 0.77 (0.68-0.87) <0.001 0.83 (0.73-0.95) 0.005
Nonuse of OAC agent 780 147 (18.9) Reference Reference
vs
DOAC agent 4,184 607 (14.5) 0.74 (0.62-0.88) 0.001 0.62 (0.51-0.75) <0.001

Abbreviations as in Table 1.

a

Sex; age; body mass index; history of bleeding; type of AF; systolic blood pressure; severe liver dysfunction; diabetes mellitus; hyperuricemia; heart failure and/or reduced left ventricular ejection fraction; myocardial infarction; cerebrovascular disease; other thromboembolic disease; active cancer; dementia; fall within 1 year, history of catheter ablation; dyslipidemia; creatinine clearance; gastrointestinal diseases; polypharmacy (5 or more); and use of antiarrhythmic agents, proton pump inhibitors, P-glycoprotein inhibitors, and antiplatelet agents were included as an adjustment factor in the model.

b

All bleeding events (major bleeding, clinically relevant bleeding, and minor bleeding).

Risk factors associated with main outcomes in the high-risk group

Univariate and multivariate analyses of outcomes in the high-risk group according to baseline variables are shown in Table 4. Significant independent risk factors for stroke/SE were type of AF (long-standing AF), systolic blood pressure of ≥140 mm Hg, diabetes (glycated hemoglobin: ≥6.0%), cerebrovascular disease, and CrCl of ≥15 to <30 mL/min. Significant independent risk factors for major bleeding were a history of major bleeding, severe liver dysfunction, and falls within 1 year. Significant independent risk factors of intracranial hemorrhage were severe liver dysfunction, fall within 1 year, and proton pump inhibitor use.

Table 4.

Univariate and Multivariate Analyses of Outcomes According to Baseline Variables in High-Risk Group

Outcomes and Factors Variables n Events (%) Univariate Analysis
Multivariate Analysisa
HR (95% CI) P Value HR (95% CI) P Value
Stroke/systemic embolism
 Total 7,104 270 (3.8)
 Sex Maleb 3,109 103 (3.3)
Female 3,995 167 (4.2) 1.24 (0.97-1.58) 0.089 1.17 (0.86-1.59) 0.319
 Body weight ≤45 kg 2,687 111 (4.1) 1.18 (0.92-1.51) 0.197 1.23 (0.89-1.70) 0.201
>45 kgb 4,088 145 (3.6)
 History of major bleeding Yes 681 32 (4.7) 1.27 (0.87-1.83) 0.212 1.26 (0.84-1.90) 0.265
Nob 6,423 238 (3.7)
 Type of AF Paroxysmalb 2,844 79 (2.8)
Persistent 1,162 44 (3.8) 1.41 (0.97-2.03) 0.070 1.48 (1.00-2.19) 0.052
Long-standing persistent 3,098 147 (4.7) 1.75 (1.33-2.31) <0.001 1.99 (1.47-2.70) <0.001
 Systolic blood pressure <130 mm Hgb 3,725 133 (3.6)
≥130 mm Hg to <140 mm Hg 1,437 43 (3.0) 0.83 (0.59-1.18) 0.299 0.86 (0.61-1.23) 0.414
≥140 mm Hg 1,401 76 (5.4) 1.51 (1.14-2.00) 0.004 1.51 (1.12-2.04) 0.007
 Severe liver dysfunction Yes 59 3 (5.1) 1.43 (0.46-4.47) 0.534 1.54 (0.49-4.87) 0.458
Nob 7,045 267 (3.8)
 Diabetes mellitus Yes (HbA1c < 6.0%) 291 9 (3.1) 0.89 (0.45-1.73) 0.728 0.87 (0.44-1.72) 0.699
Yes (HbA1c ≥ 6.0%) 1,375 67 (4.9) 1.37 (1.04-1.82) 0.027 1.57 (1.16-2.11) 0.003
Nob 5,067 180 (3.6)
 Hyperuricemia Yes 1,954 62 (3.2) 0.80 (0.60-1.06) 0.122 0.74 (0.54-1.02) 0.063
Nob 5,150 208 (4.0)
 Heart failure, reduced LVEF Yes 3,728 139 (3.7) 0.99 (0.78-1.26) 0.929 0.85 (0.65-1.10) 0.211
Nob 3,376 131 (3.9)
 Myocardial infarction Yes 683 22 (3.2) 0.84 (0.54-1.29) 0.418 0.90 (0.55-1.47) 0.678
No 6,421 248 (3.9)
 Cerebrovascular disease Yes 2,130 114 (5.4) 1.74 (1.36-2.21) <0.001 1.83 (1.41-2.37) <0.001
Nob 4,974 156 (3.1)
 Other thromboembolic disease Yes 818 39 (4.8) 1.31 (0.93-1.84) 0.120 1.32 (0.91-1.91) 0.140
Nob 6,286 231 (3.7)
 Active cancer Yes 737 22 (3.0) 0.79 (0.51-1.22) 0.287 0.68 (0.42-1.10) 0.115
Nob 6,367 248 (3.9)
 Dementia Yes 948 38 (4.0) 1.14 (0.81-1.60) 0.465 0.94 (0.66-1.34) 0.738
Nob 6,156 232 (3.8)
 Fall within 1 year Yes 760 39 (5.1) 1.50 (1.06-2.11) 0.020 1.34 (0.94-1.92) 0.108
Nob 5,511 200 (3.6)
 Catheter ablation Yes 324 10 (3.1) 0.77 (0.41-1.46) 0.426 1.03 (0.54-1.96) 0.926
Nob 6,780 260 (3.8)
 Antiarrhythmic agents Yes 4,070 149 (3.7) 0.90 (0.71-1.15) 0.414 0.92 (0.72-1.18) 0.518
Nob 3,034 121 (4.0)
 Proton pump inhibitors Yes 3,272 116 (3.6) 0.88 (0.69-1.12) 0.302 0.92 (0.71-1.20) 0.540
Nob 3,832 154 (4.0)
 P-glycoprotein inhibitors Yes 140 2 (1.4)
(1.43)
0.38 (0.10-1.54) 0.177 0.22 (0.03-1.56) 0.130
Nob 6,964 268 (3.9)
 Dyslipidemia Yes 3,189 120 (3.8) 0.96 (0.75-1.22) 0.715 0.95 (0.73-1.24) 0.721
Nob 3,915 150 (3.8)
 Gastrointestinal disease Yes 2,406 89 (3.7) 0.95 (0.74-1.22) 0.689 0.92 (0.70-1.22) 0.561
Nob 4,698 181 (3.9)
 Antiplatelet agents Yes (only 1 agent) 3,024 112 (3.7) 0.92 (0.72-1.17) 0.513 0.97 (0.70-1.35) 0.868
Nob 4,060 158 (3.9)
 Polypharmacy <5 agentsb 922 30 (3.3)
≥5 agents 6,053 233 (3.9) 1.19 (0.81-1.74) 0.374 1.29 (0.86-1.94) 0.226
 Creatinine clearance ≥15 mL/min to <30 mL/min
<30 mL/min
2,856 119 (4.2) 1.29 (1.00-1.67) 0.050 1.40 (1.04-1.87) 0.026
≥30 mL/minb 3,398 116 (3.4)
Major bleeding
 Total 7,104 198 (2.8)
 Sex Maleb 3,109 90 (2.9)
Female 3,995 108 (2.7) 0.91 (0.69-1.20) 0.513 0.98 (0.69-1.39) 0.901
 Body weight ≤45 kg 2,687 73 (2.7) 0.94 (0.70-1.26) 0.678 0.98 (0.67-1.45) 0.933
>45 kgb 4,088 119 (2.9)
 History of major bleeding Yes 681 33 (4.9) 1.89 (1.30-2.74) <0.001 1.62 (1.04-2.53) 0.034
Nob 6,423 165 (2.6)
 Type of AF Paroxysmalb 2,844 73 (2.6)
Persistent 1,162 33 (2.8) 1.14 (0.75-1.72) 0.539 1.01 (0.65-1.55) 0.975
Long-standing persistent 3,098 92 (3.0) 1.18 (0.87-1.61) 0.281 1.02 (0.73-1.42) 0.911
 Systolic blood pressure <130 mm Hgb 3,725 110 (3.0)
≥130 mm Hg to <140 mm Hg 1,437 32 (2.2) 0.75 (0.50-1.11) 0.148 0.80 (0.54-1.20) 0.285
≥140 mm Hg 1,401 40 (2.9) 0.95 (0.66-1.36) 0.780 1.02 (0.70-1.47) 0.935
 Severe liver dysfunction Yes 59 5 (8.5) 3.46 (1.42-8.40) 0.006 2.90 (1.18-7.12) 0.021
Nob 7,045 193 (2.7)
 Diabetes mellitus Yes (HbA1c <6.0%) 291 7 (2.4) 0.93 (0.43-1.99) 0.851 0.85 (0.39-1.84) 0.684
Yes (HbA1c ≥6.0%) 1,375 40 (2.9) 1.10 (0.77-1.57) 0.596 1.14 (0.79-1.66) 0.480
Nob 5,067 134 (2.6)
 Hyperuricemia Yes 1,954 57 (2.9) 1.09 (0.80-1.48) 0.591 0.96 (0.68-1.34) 0.796
Nob 5,150 141 (2.7)
 Heart failure, reduced LVEF Yes 3,728 120 (3.2) 1.45 (1.09-1.93) 0.011 1.29 (0.95-1.76) 0.106
Nob 3,376 78 (2.3)
 Myocardial infarction Yes 683 19 (2.8) 1.01 (0.63-1.61) 0.980 0.98 (0.58-1.66) 0.941
Nob 6,421 179 (2.8)
 Cerebrovascular disease Yes 2,130 70 (3.3) 1.29 (0.96-1.73) 0.086 1.17 (0.86-1.60) 0.320
Nob 4,974 128 (2.6)
 Other thromboembolic disease Yes 818 30 (3. 7) 1.40 (0.95-2.06) 0.092 1.35 (0.90-2.03) 0.149
Nob 6,286 168 (2.7)
 Active cancer Yes 737 28 (3.8) 1.48 (1.00-2.21) 0.053 1.21 (0.79-1.85) 0.385
Nob 6,367 170 (2.7)
 Dementia Yes 948 27 (2.9) 1.10 (0.73-1.65) 0.643 1.02 (0.67-1.55) 0.926
Nob 6,156 171 (2.8)
 Fall within 1 year Yes 760 43 (5.7) 2.67 (1.89-3.78) <0.001 2.26 (1.58-3.24) <0.001
Nob 5,511 125 (2.3)
 Catheter ablation Yes 324 11 (3.4) 1.19 (0.65-2.18) 0.578 1.32 (0.71-2.46) 0.385
Nob 6,780 187 (2.8)
 Antiarrhythmic agents Yes 4,070 104 (2.6) 0.81 (0.61-1.07) 0.144 0.80 (0.60-1.08) 0.143
Nob 3,034 94 (3.1)
 Proton pump inhibitors Yes 3,272 91 (2.8) 1.00 (0.75-1.32) 0.983 0.95 (0.70-1.28) 0.719
Nob 3,832 107 (2.8)
 P-glycoprotein inhibitors Yes 140 2 (1.4) 0.53 (0.13-2.13) 0.372 0.56 (0.14-2.28) 0.420
Nob 6,964 196 (2.8)
 Dyslipidemia Yes 3,189 85 (2.7) 0.90 (0.68-1.19) 0.458 0.90 (0.66-1.23) 0.509
Nob 3,915 113 (2.9)
 Gastrointestinal disease Yes 2,406 77 (3.2) 1.24 (0.93-1.64) 0.147 1.08 (0.79-1.47) 0.620
Nob 4,698 121 (2.6)
 Antiplatelet agents Yes (only 1 agent) 3,024 73 (2.4) 0.76 (0.57-1.02) 0.068 0.82 (0.55-1.22) 0.328
Nob 4,060 124 (3.1)
 Polypharmacy <5 agentsb 922 21 (2.3)
≥5 agents 6,053 171 (2.8) 1.25 (0.79-1.97) 0.336 1.17 (0.72-1.90) 0.534
 Creatinine clearance ≥15 mL/min to <30 mL/min 2,856 82 (2.9) 1.11 (0.82-1.49) 0.492 0.94 (0.66-1.35) 0.752
≥30 mL/minb 3,398 93 (2.7)
Intracranial hemorrhage
 Total 7,104 122 (1.7)
 Sex Maleb 3,109 55 (1.8)
Female 3,995 67 (1.7) 0.92 (0.65-1.32) 0.660 0.74 (0.47-1.18) 0.207
 Body weight ≤45 kg 2,687 55 (1.8) 1.30 (0.90-1.86) 0.158 1.50 (0.91-2.47) 0.114
>45 kgb 4,088 64 (1.6)
 History of major bleeding Yes 681 18 (2.6) 1.62 (0.98-2.67) 0.059 1.40 (0.79-2.47) 0.252
Nob 6,423 104 (1.6)
 Type of AF Paroxysmalb 2,844 45 (1.6)
Persistent 1,162 19 (1.6) 1.06 (0.62-1.82) 0.819 1.04 (0.59-1.83) 0.886
Long-standing persistent 3,098 58 (1.9) 1.21 (0.82-1.79) 0.333 1.12 (0.73-1.72) 0.594
 Systolic blood pressure <130 mm Hgb 3,725 69 (1.9)
≥130 mm Hg to <140 mm Hg 1,437 15 (1.0) 0.56 (0.32-0.98) 0.041 0.61 (0.35-1.07) 0.087
≥140 mm Hg 1,401 29 (2.1) 1.10 (0.71-1.70) 0.668 1.16 (0.74-1.83) 0.508
 Severe liver dysfunction Yes 59 4 (6.8) 4.42 (1.63-11.97) 0.004 3.55 (1.27-9.89) 0.015
Nob 7,045 118 (1.7)
 Diabetes mellitus Yes (HbA1c < 6.0%) 291 5 (1.7) 1.06 (0.43-2.61) 0.900 0.95 (0.38-2.37) 0.910
Yes (HbA1c ≥ 6.0%) 1,375 22 (1.6) 0.96 (0.60-1.54) 0.867 1.04 (0.64-1.71) 0.863
Nob 5,067 84 (1.7)
 Hyperuricemia Yes 1,954 35 (1.8) 1.09 (0.73-1.61) 0.683 1.04 (0.68-1.61) 0.848
Nob 5,150 87 (1.7)
 Heart failure, reduced LVEF Yes 3,728 69 (1.9) 1.22 (0.85-1.75) 0.271 1.07 (0.72-1.59) 0.730
Nob 3,376 53 (1.6)
 Myocardial infarction Yes 683 11 (1.6) 0.94 (0.50-1.74) 0.840 0.89 (0.44-1.81) 0.746
Nob 6,421 111 (1.7)
 Cerebrovascular disease Yes 2,130 47 (2.2) 1.48 (1.03-2.13) 0.036 1.43 (0.97-2.11) 0.075
Nob 4,974 75 (1.5)
 Other thromboembolic disease Yes 818 16 (2.0) 1.17 (0.69-1.98) 0.552 1.13 (0.65-1.96) 0.667
Nob 6,286 106 (1.7)
 Active cancer Yes 737 15 (2.0) 1.26 (0.73-2.16) 0.405 1.03 (0.58-1.83) 0.917
Nob 6,367 107 (1.7)
 Dementia Yes 948 18 (1.9) 1.21 (0.73-1.99) 0.461 1.07 (0.64-1.81) 0.788
Nob 6,156 104 (1.7)
 Fall within 1 year Yes 760 29 (3.8) 3.08 (2.00-4.74) <0.001 2.61 (1.66-4.11) <0.001
Nob 5,511 73 (1.3)
 Catheter ablation Yes 324 8 (2.5) 1.41 (0.69-2.90) 0.343 1.63 (0.78-3.43) 0.196
Nob 6,780 114 (1.7)
 Antiarrhythmic agents Yes 4,070 66 (1.6) 0.87 (0.61-1.24) 0.429 0.92 (0.63-1.34) 0.657
Nob 3,034 56 (1.9)
 Proton pump inhibitors Yes 3,272 44 (1.3) 0.66 (0.46-0.95) 0.027 0.66 (0.45-0.99) 0.045
Nob 3,832 78 (2.0)
 P-glycoprotein inhibitors Yes 140 2 (1.4) 0.87 (0.22-3.52) 0.845 0.92 (0.23-3.78) 0.911
Nob 6,964 120 (1.7)
 Dyslipidemia Yes 3,189 56 (1.8) 1.01 (0.71-1.45) 0.943 1.12 (0.76-1.67) 0.558
Nob 3,915 66 (1.7)
 Gastrointestinal disease Yes 2,406 45 (1.9) 1.13 (0.78-1.63) 0.511 1.04 (0.69-1.55) 0.857
Nob 4,698 77 (1.6)
 Antiplatelet agents Yes (only 1 agent) 3,024 44 (1.5) 0.74 (0.51-1.07) 0.112 0.83 (0.50-1.38) 0.471
Nob 4,060 77 (1.9)
 Polypharmacy <5 agentsb 922 18 (2.0)
≥5 agents 6,053 98 (1.6) 0.83 (0.50-1.37) 0.470 0.88 (0.51-1.53) 0.654
 Creatinine clearance ≥15 mL/min to <30 mL/min
<30 mL/min
2,856 47 (1.7) 1.02 (0.70-1.50) 0.912 0.87 (0.56-1.37) 0.558
≥30 mL/minb 3,398 58 (1.7)

HbA1c = glycosylated hemoglobin; LVEF = left ventricular ejection fraction; other abbreviations as in Table 1.

a

Sex; body weight; history of bleeding; type of AF; systolic blood pressure; severe liver dysfunction; diabetes mellitus; hyperuricemia; heart failure and/or reduced LVEF; myocardial infarction; cerebrovascular disease; other thromboembolic disease; active cancer; dementia; fall within 1 year; history of catheter ablation; dyslipidemia; creatinine clearance; gastrointestinal diseases; polypharmacy (5 or more); anticoagulant agent; and use of antiarrhythmic agents, proton pump inhibitors, P-glycoprotein inhibitors, and antiplatelet agents were included as an adjustment factor in the model. Type of anticoagulant agents were included in the multivariate analysis model as an explanatory factor.

b

Reference.

Additionally, we calculated the HRs for outcomes in the reference group (ie, the non–high-risk group) according to baseline variables (Supplemental Table 1). AF type in stroke/SE, falls in major bleeding, and severe liver dysfunction and falls in intracranial hemorrhage showed a significant difference in HRs, even in the reference group; however, the HR value was larger in the high-risk group. In the high-risk group, cerebrovascular disease was the only factor that was not found to be a specific risk factor for stroke/SE.

Discussion

Until now, real-world evidence on the effectiveness and safety of OAC agents in very elderly NVAF patients with high bleeding risk has been scarce. In the present subanalysis, we categorized ANAFIE patients as having high bleeding risk by using the inclusion criteria of the ELDERCARE-AF trial,9 consisting of age of ≥80 years; CHADS2 score of ≥2; and the presence of ≥1 bleeding risk factor, including severe renal impairment, prior bleeding history at critical sites, low body weight, and continuous antiplatelet use. It is well established that these factors are associated with increased bleeding incidence during OAC therapy. Importantly, patients with severe renal impairment and prior bleeding history at critical sites were excluded from landmark DOAC agent trials, such as RE-LY (Randomized Evaluation of Long-Term Anticoagulation Therapy),15 ROCKET-AF (Rivaroxaban Once Daily Oral Direct Factor Xa Inhibition Compared with Vitamin K Antagonism for Prevention of Stroke and Embolism Trial in Atrial Fibrillation),16 ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation),17 and ENGAGE-AF TIMI 48 (Effective Anticoagulation with Factor Xa Next Generation in Atrial Fibrillation–Thrombolysis In Myocardial Infarction 48).18 Thus, we deemed it necessary to evaluate the real-world rate of OAC agent use and the outcomes during OAC treatment among elderly Japanese NVAF patients who had high bleeding risk from the ANAFIE registry.

This subanalysis of the ANAFIE registry suggests the usefulness of DOAC agents compared with warfarin and with no OAC agent use in clinical practice in elderly patients at high bleeding risk. First, we found that 22.0% of the ANAFIE patients met the inclusion criteria of the ELDERCARE-AF trial,9 and this high-risk group of patients had high rates of OAC use (89.0% vs 93.4% in the reference group), with more than a half (58.9%) receiving DOAC agents (vs 69.1% in the reference group). Among the high-risk patients who received DOAC agents, most of the high-risk patients received on-label reduced doses of DOAC agents (71.5%), with a minor proportion receiving off-label low doses (5.9%). It was previously reported that the risk of intracranial hemorrhage during warfarin therapy was higher among Asian patients than White patients,19 which may explain the tendency of Japanese physicians to prescribe DOAC agents for stroke prevention, even for elderly NVAF patients with high bleeding risk. Of note, the prescribed DOAC doses were appropriately reduced in most cases, whereas the mean TTR during warfarin therapy was 71%. Thus, the prescription of DOAC agents at the doses indicated in the package insert was confirmed for many of the ANAFIE patients who were considered appropriate candidates for OAC therapy, despite the high bleeding risk.

Second, we found that all the events occurred at higher rates in the high-risk group compared with the reference group. This was not surprising because the high-risk group included patients who were older, had more comorbidities, and were at higher risk for stroke and major bleeding.

Third, in the high-risk group, we clearly showed by the multivariate analysis that compared with the nonuse of OAC agents, DOAC agent use was associated with reduced incidences of stroke/SE and all-cause death without significantly increasing major bleeding. Furthermore, the effectiveness and safety of DOAC agents were superior to those of warfarin in reducing stroke/SE, major bleeding, and intracranial hemorrhage. The HR (0.88) of all-cause death was lower with DOAC agents compared with warfarin use, but the difference was not significant. These results were consistent with those seen in the overall ANAFIE registry population.10 It should be pointed out that the rate for all bleeding events (major bleeding, clinically relevant bleeding, and minor bleeding) was significantly higher in the DOAC agent use than in the nonuse-of-OAC-agents group. A careful observation should be required even when DOAC agents are selected in high-risk group patients.

For the higher incidence of major bleeding in the high-risk group than in the reference group, as expected, multivariate analysis for the baseline characteristics of high-risk patients revealed that a history of major bleeding, severe liver dysfunction, and falls within 1 year were significant independent predictors for major bleeding. Based on these findings, we suggest that careful observation for the occurrence of major bleeding should be required for the management of elderly high-risk patients with these clinical characteristics when OAC agent use is considered.

The ELDERCARE-AF trial evaluated the efficacy and safety of very-low-dose edoxaban (15 mg) vs placebo and demonstrated that edoxaban was superior to placebo for preventing stroke/SE without a significant increase in major bleeding events.9 It should be noted that all ELDERCARE-AF patients were considered inappropriate for standard OAC therapy at approved doses.9 In fact, 57% of the patients had not received any OAC therapy before participating in the trial. In contrast, the remaining patients had been previously treated with OAC agents but discontinued DOAC agents or were treated with warfarin at an insufficient control level. The present subanalysis of the ANAFIE registry defined patients with similar characteristics to patients included in the ELDERCARE-AF trial as the high-risk group. However, considering that 58.9% of these patients received DOAC agents and most of them were prescribed on-label reduced DOAC agent doses at study entry, the risk of bleeding might have been lower among those patients in the present analysis than among patients in the ELDERCARE-AF trial.9 Further studies are needed to evaluate the use of OAC therapy, including very-low-dose edoxaban in the patient group in which no OAC agent was used, presumably because of the extremely high bleeding risk.

Study limitations

The main limitation of the present analysis is that it is a post hoc evaluation. Additionally, in this subanalysis, patients with a high risk of bleeding were grouped according to the definition used in the ELDERCARE-AF trial, but the mean HAS-BLED score in the high-risk group of the ANAFIE registry was 2.2. Thus, the high bleeding risk in the high-risk group was not linked to the HAS-BLED score. Furthermore, patients with a CrCl of <15 mL/min or undergoing dialysis were not included in the high-risk group for bleeding in this study to verify the significance of DOAC agents because they are not indicated for DOAC agents. Therefore, this may have affected the power of the analysis. Because the ANAFIE registry enrolled patients eligible for OAC therapy, comparisons with the data from the ELDERCARE-AF trial, which enrolled patients who were not eligible for standard OAC therapy at approved doses, are limited. Although many high-risk group patients prescribed with DOAC agents (76%) received appropriate on-label doses, other patients (13%) received inappropriately reduced off-label doses while showing similar 2-year incidences of stroke/SE, major bleeding, and all-cause mortality. Additional limitations of the ANAFIE registry have been reported previously10 and include the enrollment of only Japanese NVAF patients; the fact that variables such as changes in OAC agent during follow-up were not considered; the fact that TTR for warfarin was reported at baseline but was not re-evaluated during the follow-up; and the fact that the study did not limit the inclusion of patients who had already been receiving anticoagulant treatment before enrollment. Finally, outcomes for warfarin-treated patients were not reported according to individual TTR groups (ie, <40%, 40% to <60%, 60% to <80%, and ≥80%) or international normalized ratio, and we are unable to speculate as to how this may have affected the results observed.

Conclusions

Patients from the ANAFIE registry at high bleeding risk had higher incidences of stroke/SE, major bleeding, intracranial hemorrhage, gastrointestinal bleeding, cardiovascular events, and all-cause death than patients in the reference group, despite a high prevalence of OAC therapy (89.0%). Our data indicate that DOAC agent use was associated with reduced risks without significantly increasing major bleeding events compared with nonuse of OAC agents in elderly NVAF patients at high bleeding risk. The present results also indicate that DOAC agent use was superior to warfarin in reducing stroke/SE, major bleeding, and intracranial hemorrhage in these patients.

Perspectives.

COMPETENCY IN MEDICAL KNOWLEDGE: Our findings indicate that, compared with nonuse of oral anticoagulant agents, DOAC agent use may be associated with reduced risks without significantly increasing major bleeding events among elderly nonvalvular atrial fibrillation patients at high bleeding risk.

TRANSLATIONAL OUTLOOK: Further studies are warranted to confirm that DOAC agent use is superior to warfarin for reducing stroke/systemic embolism, major bleeding, and intracranial hemorrhage in elderly patients with nonvalvular atrial fibrillation and high bleeding risk.

Funding Support and Author Disclosures

This research was supported by Daiichi Sankyo Co, Ltd. Dr Okumura received remuneration from Nippon Boehringer Ingelheim, Daiichi Sankyo, Johnson & Johnson, and Medtronic. Dr Yamashita has received research funding from Bristol-Myers Squibb, Bayer, and Daiichi Sankyo; manuscript fees from Daiichi Sankyo and Bristol-Myers Squibb; and remuneration from Daiichi Sankyo, Bayer, Pfizer Japan, Bristol-Myers Squibb, and Ono Pharmaceutical. Dr Akao has received research funding from Bayer and Daiichi Sankyo and remuneration from Bristol-Myers Squibb, Nippon Boehringer Ingelheim, Bayer, and Daiichi Sankyo. Dr Atarashi has received remuneration from Daiichi Sankyo. Dr Ikeda has received research grants from Daiichi Sankyo, Medtronic Japan, and Japan Lifeline; has received honoraria from Ono Pharma, Bayer Yakuhin, Daiichi Sankyo, Bristol-Myers Squibb, and Pfizer; and was a member of the Advisory Board for Bayer Yakuhin, Bristol-Myers Squibb, and Daiichi Sankyo. Dr Koretsune has received remuneration from Daiichi Sankyo, Bayer, and Nippon Boehringer Ingelheim. Dr Shimizu has received research funding from Bristol-Myers Squibb, Daiichi Sankyo, and Nippon Boehringer Ingelheim and patent royalties/licensing fees from Daiichi Sankyo, Pfizer Japan, Bristol-Myers Squibb, Bayer, and Nippon Boehringer Ingelheim. Dr Suzuki has received remuneration from Bristol-Myers Squibb and Daiichi Sankyo. Dr Tsutsui has received research funding from Daiichi Sankyo, Mitsubishi Tanabe Pharma, Nippon Boehringer Ingelheim, and IQVA Services Japan; remuneration from Daiichi Sankyo, Bayer, Nippon Boehringer Ingelheim, Pfizer Japan, Otsuka Pharmaceutical, and Mitsubishi Tanabe Pharma; scholarship funding from Daiichi Sankyo, Mitsubishi Tanabe Pharma, and Teijin Pharma; and consultancy fees from Novartis Pharma, Pfizer Japan, Bayer, Nippon Boehringer Ingelheim, and Ono Pharmaceutical. Dr Toyoda has received honoraria from Daiichi Sankyo, Bayer, Bristol-Myers Squibb, and Takeda. Dr Hirayama participated in a course endowed by Boston Scientific Japan; has received research funding from Daiichi Sankyo and Bayer; has received remuneration from Bayer, Daiichi Sankyo, Bristol-Myers Squibb, Nippon Boehringer Ingelheim, Sanofi, Astellas Pharma, Sumitomo Dainippon Pharma, Amgen Astellas BioPharma, and AstraZeneca; and has received patent royalties/licensing fees from Toa Eiyo M. Dr Yasaka received research funding from Nippon Boehringer Ingelheim and remuneration from Nippon Boehringer Ingelheim, Daiichi Sankyo, Bayer, Bristol-Myers Squibb, Pfizer Japan, and CSL Behring. Dr Yamaguchi acted as an Advisory Board member of Daiichi Sankyo; and has received honoraria from Daiichi Sankyo and Bristol-Myers Squibb. Dr Teramukai has received research funding from Nippon Boehringer Ingelheim and remuneration from Daiichi Sankyo, Sanofi, Takeda, Chugai Pharmaceutical, Solasia Pharma, Bayer, Sysmex, Nipro, NapaJen Pharma, Gunze, and Atworking. Dr Kimura has stock and is an employee of Daiichi Sankyo. Dr Morishima and Atsushi Takita are employees of Daiichi Sankyo. Dr Inoue has received honoraria from Daiichi Sankyo, Bayer, Bristol-Myers Squibb and consultancy fees from Daiichi Sankyo.

Acknowledgments

The authors thank all individuals (physicians, nurses, institutional staff, and patients) who participated in the ANAFIE registry. They also thank IQVIA Services Japan K.K. and EP-CRSU for their partial support in the conduct of this registry and Keyra Martinez Dunn, MD, of Edanz (www.edanz.com) for providing medical writing support. In addition, the authors thank Daisuke Chiba of Daiichi Sankyo Co, Ltd, for supporting the preparation of the manuscript.

Footnotes

Hisaki Makimoto, MD, PhD, served as Guest Associate Editor for this paper. Toru Suzuki, MD, PhD, served as Guest Editor-in-Chief for this paper.

The authors attest they are in compliance with human studies committees and animal welfare regulations of the authors’ institutions and Food and Drug Administration guidelines, including patient consent where appropriate. For more information, visit the Author Center.

Appendix

For a supplemental table, please see the online version of this paper.

Appendix

Supplemental Table 1
mmc1.docx (59.9KB, docx)

References

  • 1.Chugh S.S., Havmoeller R., Narayanan K., et al. Worldwide epidemiology of atrial fibrillation: a Global Burden of Disease 2010 Study. Circulation. 2014;129:837–847. doi: 10.1161/CIRCULATIONAHA.113.005119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Morin D.P., Bernard M.L., Madias C., Rogers P.A., Thihalolipavan S., Estes N.A., 3rd The state of the art: atrial fibrillation epidemiology, prevention, and treatment. Mayo Clin Proc. 2016;91:1778–1810. doi: 10.1016/j.mayocp.2016.08.022. [DOI] [PubMed] [Google Scholar]
  • 3.Ravassa S., Ballesteros G., Díez J. Aging and atrial fibrillation: a matter of fibrosis. Aging (Albany NY) 2019;11:9965–9966. doi: 10.18632/aging.102501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lin Y.K., Chen Y.A., Lee T.I., Chen Y.C., Chen S.A., Chen Y.J. Aging modulates the substrate and triggers remodeling in atrial fibrillation. Circ J. 2018;8:1237–1244. doi: 10.1253/circj.CJ-17-0242. [DOI] [PubMed] [Google Scholar]
  • 5.Rogers P.A., Bernard M.L., Madias C., Thihalolipavan S., Mark Estes N.A., 3rd, Morin D.P. Current evidence-based understanding of the epidemiology, prevention, and treatment of atrial fibrillation. Curr Probl Cardiol. 2018;4:241–283. doi: 10.1016/j.cpcardiol.2017.06.001. [DOI] [PubMed] [Google Scholar]
  • 6.Hindricks G., Potpara T., Dagres N., et al. 2020 ESC guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): the task force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J. 2021;4:373–498. doi: 10.1093/eurheartj/ehaa612. [DOI] [PubMed] [Google Scholar]
  • 7.Shinohara M., Fujino T., Yao S., et al. Assessment of the bleeding risk of anticoagulant treatment in non-severe frail octogenarians with atrial fibrillation. J Cardiol. 2019;7:7–13. doi: 10.1016/j.jjcc.2018.05.012. [DOI] [PubMed] [Google Scholar]
  • 8.Kooistra H.A., Calf A.H., Piersma-Wichers M., et al. Risk of bleeding and thrombosis in patients 70 years or older using vitamin K antagonists. JAMA Intern Med. 2016;176:1176–1183. doi: 10.1001/jamainternmed.2016.3057. [DOI] [PubMed] [Google Scholar]
  • 9.Okumura K., Akao M., Yoshida T., et al. Low-dose edoxaban in very elderly patients with atrial fibrillation. N Engl J Med. 2020;383:1735–1745. doi: 10.1056/NEJMoa2012883. [DOI] [PubMed] [Google Scholar]
  • 10.Yamashita T., Suzuki S., Inoue H., et al. Two-year outcomes of more than 30 000 elderly patients with atrial fibrillation: results from the All Nippon AF in the Elderly (ANAFIE) registry. Eur Heart J Qual Care Clin Outcomes. 2021;8(2):202–213. doi: 10.1093/ehjqcco/qcab025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Inoue H., Yamashita T., Akao M., et al. Prospective observational study in elderly patients with non-valvular atrial fibrillation: rationale and design of the All Nippon AF in the Elderly (ANAFIE) registry. J Cardiol. 2018;72:300–306. doi: 10.1016/j.jjcc.2018.02.018. [DOI] [PubMed] [Google Scholar]
  • 12.Okumura K., Lip G.Y.H., Akao M., et al. Edoxaban for the management of elderly Japanese patients with atrial fibrillation ineligible for standard oral anticoagulant therapies: rationale and design of the ELDERCARE-AF study. Am Heart J. 2017;194:99–106. doi: 10.1016/j.ahj.2017.08.017. [DOI] [PubMed] [Google Scholar]
  • 13.Akao M., Shimizu W., Atarashi H., et al. Oral anticoagulant use in elderly Japanese patients with non-valvular atrial fibrillation—subanalysis of the ANAFIE registry. Circ Rep. 2020;2:552–559. doi: 10.1253/circrep.CR-20-0082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Koretsune Y., Yamashita T., Akao M., et al. Baseline demographics and clinical characteristics in the All Nippon AF in the Elderly (ANAFIE) registry. Circ J. 2019;83:1538–1545. doi: 10.1253/circj.CJ-19-0094. [DOI] [PubMed] [Google Scholar]
  • 15.Connolly S.J., Ezekowitz M.D., Yusuf S., et al. Dabigatran versus warfarin in patients with atrial fibrillation. N Engl J Med. 2009;361:1139–1151. doi: 10.1056/NEJMoa0905561. Published correction appears in N Engl J Med. 2010;363(19):1877. [DOI] [PubMed] [Google Scholar]
  • 16.Patel M.R., Mahaffey K.W., Garg J., et al. Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. N Engl J Med. 2011;365(10):883–891. doi: 10.1056/NEJMoa1009638. [DOI] [PubMed] [Google Scholar]
  • 17.Granger C.B., Alexander J.H., McMurray J.J., et al. Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2011;365:981–992. doi: 10.1056/NEJMoa1107039. [DOI] [PubMed] [Google Scholar]
  • 18.Giugliano R.P., Ruff C.T., Braunwald E., et al. Edoxaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2013;369:2093–2104. doi: 10.1056/NEJMoa1310907. [DOI] [PubMed] [Google Scholar]
  • 19.Shen A.Y., Yao J.F., Brar S.S., Jorgensen M.B., Chen W. Racial/ethnic differences in the risk of intracranial hemorrhage among patients with atrial fibrillation. J Am Coll Cardiol. 2007;50:309–315. doi: 10.1016/j.jacc.2007.01.098. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Table 1
mmc1.docx (59.9KB, docx)

Articles from JACC Asia are provided here courtesy of Elsevier

RESOURCES