Skip to main content
Europace logoLink to Europace
. 2023 Mar 31;25(5):euad083. doi: 10.1093/europace/euad083

Cardiovascular outcomes in patients with atrial fibrillation concomitantly treated with antiarrhythmic drugs and non-vitamin k antagonist oral anticoagulants

Victor Chien-Chia Wu 1, Chun-Li Wang 2, Yu-Chang Huang 3, Hui-Tzu Tu 4, Yu-Tung Huang 5, Chien-Hao Huang 6, Shao-Wei Chen 7, Chang-Fu Kuo 8,9, Kuo-Chun Hung 10, Shang-Hung Chang 11,12,13,✉,2
PMCID: PMC10227765  PMID: 37000581

Abstract

Aims

Limited data compared antiarrhythmic drugs (AADs) with concomitant non-vitamin K antagonist oral anticoagulants in atrial fibrillation patients, hence the aim of the study.

Methods and results

National health insurance database were retrieved during 2012–17 for study. We excluded patients not taking AADs, bradycardia, heart block, heart failure admission, mitral stenosis, prosthetic valve, incomplete demographic data, and follow-up <3 months. Outcomes were compared in Protocol 1, dronedarone vs. non-dronedarone; Protocol 2, dronedarone vs. amiodarone; and Protocol 3, dronedarone vs. propafenone. Outcomes were acute myocardial infarction (AMI), ischaemic stroke/systemic embolism, intracranial haemorrhage (ICH), major bleeding, cardiovascular death, all-cause mortality, and major adverse cardiovascular event (MACE) (including AMI, ischaemic stroke, and cardiovascular death). In Protocol 1, 2298 dronedarone users and 6984 non-dronedarone users (amiodarone = 4844; propafenone = 1914; flecainide = 75; sotalol = 61) were analysed. Dronedarone was associated with lower ICH (HR = 0.61, 95% CI = 0.38–0.99, P = 0.0436), cardiovascular death (HR = 0.24, 95% CI = 0.16–0.37, P < 0.0001), all-cause mortality (HR = 0.33, 95% CI = 0.27–0.42, P < 0.0001), and MACE (HR = 0.56, 95% CI = 0.45–0.70, P < 0.0001). In Protocol 2, 2231 dronedarone users and 6693 amiodarone users were analysed. Dronedarone was associated with significantly lower ICH (HR = 0.53, 95%=CI 0.33–0.84, P = 0.0078), cardiovascular death (HR = 0.20, 95% CI = 0.13–0.31, P < 0.0001), all-cause mortality (HR 0.27, 95% CI 0.22–0.34, P < 0.0001), and MACE (HR = 0.53, 95% CI = 0.43–0.66, P < 0.0001), compared with amiodarone. In Protocol 3, 812 dronedarone users and 2436 propafenone users were analysed. There were no differences between two drugs for primary and secondary outcomes.

Conclusion

The use of dronedarone with NOACs was associated with cardiovascular benefits in an Asian population, compared with non-dronedarone AADs and amiodarone.

Keywords: Dronedarone, Amiodarone, Propafenone, Atrial fibrillation, Non-vitamin K antagonist oral anticoagulants

Graphical Abstract

Graphical Abstract.

Graphical Abstract

Comparison of primary study outcomes of acute myocardial infarction, ischaemic stroke/systemic embolism, intracranial haemorrhage, major bleeding, cardiovascular death, and all-cause mortality in patients with atrial fibrillation using dronedarone vs. non-dronedarone antiarrhythmic drugs.


What’s new?

  • In this retrospective Asian nationwide cohort study, when concomitantly used with non-vitamin K antagonist oral anticoagulants (NOACs), dronedarone was associated with reduced risks in intracranial haemorrhage, cardiovascular death, all-cause mortality, and major adverse cardiovascular events, compared to non-dronedarone anti-arrhythmic drugs (AADs) as a group or directly to amiodarone.

  • Dabigatran, rivaroxaban, or edoxaban were used at lower doses, while apixaban was used at standard dose in patients with atrial fibrillation concomitantly taking AADs in real-world setting.

  • NOAC doses were similar between groups and should not be factors that affected the outcomes.

Introduction

Atrial fibrillation (AF) is the most common sustained arrhythmia with a high disease burden for subsequent ischaemic stroke, heart failure (HF), and mortality.1 Guideline-directed therapy for AF comprises antiarrhythmic drugs (AADs), anticoagulants and catheter ablation. Traditional AADs, such as amiodarone, have side effects that concern physicians and limit their widespread use. Dronedarone is a benzofuran derivative with pharmacological properties similar to amiodarone, but with reduced thyroid and other end-organ adverse effects.2 Dronedarone is therefore a welcome addition for cardiologists.

Dronedarone offers cardiovascular benefits for appropriately selected AF patients, as demonstrated in several trials.2 In the ATHENA trial, dronedarone reduced the primary composite outcome of mortality or first cardiovascular hospitalization in patients with paroxysmal or persistent AF.3 Notably, the difference in this composite outcome is driven by the first cardiovascular hospitalization. The efficacy of dronedarone in maintaining sinus rhythm was also demonstrated in the EURIDIS/ADONIS trials.4 However, there are also major safety concerns for selected AF patients. The ANDROMEDA or PALLAS trial raised safety concerns regarding the use of dronedarone in patients with decompensated HF or permanent AF, respectively.5,6 Therefore, dronedarone is indicated for AF patients in sinus rhythm with a history of paroxysmal or persistent AF and contraindicated in patients with permanent AF, New York Heart Association functional class IV HF or recent decompensation. The 2020 ESC guidelines reinforce this, in that dronedarone is not recommended in patients with NYHA class III or IV or unstable HF.1

The AF management requires a holistic and integrated approach, proposed as the Atrial fibrillation Better Care pathway. Stroke prevention is part of the holistic AF management through the use of anticoagulants.1,7 It is difficult to achieve the balance of thromboembolic events and bleeding among Asian patients, especially with the use of warfarin.8,9 Asians have a higher risk of intracranial haemorrhage even when the international normalized ratios (INR) are maintained between 2 and 3. However, a lower INR target range increases thromboembolism in Asian patients. Therefore, non-vitamin K antagonist oral anticoagulants (NOACs) are increasingly replacing warfarin for stroke prevention in AF due to better safety profile and similar or higher efficacy.10 Nonetheless, there is still a higher risk of intracranial bleeding in Asian patients than in non-Asian patients when treated with the same dose of NOAC.9 When managing AF in a holistic manner, the drug–drug interaction of AADs and NOACs may further affect the outcomes in Asian patients. However, there are limited data regarding the efficacy and safety profile of the concomitant use of AADs and NOACs, especially in real-world clinical practice and among the Asian population.

We aimed to compare the risks of cardiovascular outcomes and major bleeding among different AADs in Asian patients with paroxysmal or persistent AF concomitantly treated with NOACs.

Methods

Data source

The data of this study were obtained from the universal health insurance claims database provided by the National Health Insurance (NHI) Administration and managed by Health and Welfare Data Science Center (HWDC), Ministry of Health and Welfare of Taiwan. The Taiwan’s NHI Program started in 1995 and provides over 99.5% coverage for the 23 million residents. The NHI Research Database (NHIRD) is a claim-based administration dataset, which provides inpatient, outpatient, and emergency department services, diagnoses, prescriptions, examinations, operations, and expenditures. To protect the privacy of patients, all the identifier numbers are encrypted in the NHIRD’s claims database under HWDC, analyses must be conducted on-site (official website), and only the result reports were allowed to be taken out. The Institutional Review Board of Chang Gung Memorial Hospital Linkou Branch approved this study (No. 202000065B0C501).

Study patients and outcomes

By searching claims of medical records from the database between 1 June 2012 and 31 December 2017, we retrieved patients with a discharge diagnosis of AF, defined as having two outpatient diagnoses or one inpatient diagnosis in the previous year, and were undergoing anticoagulation therapy. We excluded patients who took AADs within 3 months before index date, did not take AADs during the study period, with bradycardia, heart block, history of admission for heart failure, mitral stenosis, prosthetic valve, incomplete demographic data, and follow-up less than 3 months (index date after 30 September 2017).

The primary outcomes were acute myocardial infarction (AMI), ischaemic stroke/systemic embolism (IS/SE), intracranial haemorrhage (ICH), major bleeding, cardiovascular death, and all-cause mortality. The secondary outcome was major adverse cardiovascular events (MACE), which was a composite of AMI, ischaemic stroke, and cardiovascular death. The definition of major bleeding was based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM diagnostic code (see Supplementary material online, Table S1). Comorbidities included hypertension, myocardial infarction, congestive HF, peripheral vascular disease, cerebrovascular disease, ischaemic stroke, diabetes mellitus, chronic pulmonary obstructive disease, moderate or severe liver disease, chronic kidney disease, anemia, rheumatic disease, malignancy, and history of bleeding. The comorbidity was defined as having at least two times of outpatient or inpatient diagnosis. Similarly, usage of medication was retrieved based on claims data within 3 months before the index date. Patients were followed from 1 June 2012 till 31 December 2017, with at least 3 months of follow-up period.

Protocols

In Protocol 1, we compared the primary and secondary outcomes of patients with AF who were treated with dronedarone vs. non-dronedarone AADs, which included amiodarone, propafenone, flecainide, and sotalol. In Protocol 2, we compared the primary and secondary outcomes of patients treated with dronedarone vs. amiodarone. In Protocol 3, we compared the primary and secondary outcomes of patients treated with dronedarone vs. propafenone.

Statistical analyses

Baseline characteristics between the groups were reported in mean ± standard deviation and number with percentage. Propensity score-matched (i) dronedarone vs. non-dronedarone; (ii) dronedarone vs. amiodarone; (iii) dronedarone vs. propafenone users were compared for study outcomes. Cox proportional hazards model was used to calculate the adjusted hazard ratio. Patients who switched AADs or NOACs during the treatment of atrial fibrillation were censored. Events which occurred within the 7 days after the switch were considered to be related to the drug before the switch.

In Protocol 1, each patient in the dronedarone group was matched with a counterpart in the non-dronedarone group. The covariates used to calculate the propensity score (the predicted probability to be dronedarone group derived from logistic regression) included demographics (sex and age), residence level (urban, suburban, and rural), occupation (five categories), income (five quintiles), comorbidities (16 of them, as mentioned earlier), risk scores (CHA2DS2-VASc score, HAS-BLED score, Charlson Comorbidity Index (CCI), and medications (30 in total). In Protocol 2, each patient in the dronedarone group was matched with a counterpart in the amiodarone group. In Protocol 3, each patient in the dronedarone group was matched with a counterpart in the propafenone group. The matching was processed using a greedy nearest neighbour algorithm with a caliper of 0.2.

The balance of covariates between the groups before and after propensity score matching was checked using the absolute value of standardized mean difference between the groups, where a value less than 0.1 was considered negligible difference and a value ranged from 0.1 to 0.2 was considered a small difference. Statistical significance was set at P < 0.05. All statistical operations were performed using the SAS® 9.4 version.

Results

The study population

From 1 June 2012 to 31 December 2017, 97 947 patients with AF undergoing anticoagulation therapy were retrieved. After exclusion based on pre-specified exclusion criteria, there remained 30 093 patients eligible for analysis. There were 2304 dronedarone users and 27 789 non-dronedarone AADs users (amiodarone, 20 530; propafenone, 6860; flecainide, 225; and sotalol, 174).

Protocol 1: dronedarone vs. non-dronedarone

After 1:3 matching, there were 2298 dronedarone users and 6984 non-dronedarone users (amiodarone, 4844; propafenone, 1914; flecainide, 75; and sotalol, 61) eligible for analysis (Figure 1). There were 49.96% male in dronedarone group and 48.84% in non-dronedarone group, with mean age 75.95 in dronedarone group and 75.96 in non-dronedarone group (Table 1). Mean CHA2DS2-VASc score was 4.20 in dronedarone group and 4.18 in non-dronedarone group. Mean HAS-BLED score was 3.01 in dronedarone group and 2.94 in non-dronedarone group. Mean CCI was 3.18 in dronedarone group and 3.18 in non-dronedarone group.

Figure 1.

Figure 1

Study design and flow chart for the enrollment of patients with AF using dronedarone vs. non-dronedarone antiarrhythmic drugs.

Table 1.

Summary of baseline characteristics of study patients: dronedarone vs. non-dronedarone

Demographics Before PSM ASMD After PSM (1:3) ASMD
Dronedarone Non-dronedarone Dronedarone Non-dronedarone
(n = 2304) (n = 27789) (n = 2298) (n = 6894)
n % n % n % n %
Male 1150 49.91% 15111 54.38% 0.0895 1148 49.96% 3367 48.84% 0.0223
Age (mean ± SD) 75.98 8.1 74.08 10.22 0.2066 75.95 8.09 75.96 9.57 0.0011
Comorbidities
Hypertension 1978 85.85% 23618 84.99% 0.0244 1972 85.81% 5915 85.80% 0.0004
Myocardial infarction 90 3.91% 1405 5.06% 0.0556 89 3.87% 259 3.76% 0.0061
Congestive heart failure 629 27.30% 10519 37.85% 0.2266 629 27.37% 1923 27.89% 0.0117
Peripheral vascular disease 204 8.85% 2624 9.44% 0.0204 204 8.88% 639 9.27% 0.0136
Cerebrovascular disease 859 37.28% 12109 43.57% 0.1285 856 37.25% 2526 36.64% 0.0126
Ischaemic stroke 523 22.70% 8533 30.71% 0.1817 522 22.72% 1531 22.21% 0.0122
Transient ischaemic attack 241 10.46% 2779 10.00% 0.0152 240 10.44% 697 10.11% 0.0110
Diabetes mellitus 811 35.20% 10372 37.32% 0.0442 805 35.03% 2387 34.62% 0.0085
COPD 780 33.85% 9791 35.23% 0.029 776 33.77% 2387 34.62% 0.0180
Peptic ulcer disease 1096 47.57% 11937 42.96% 0.0928 1092 47.52% 3296 47.81% 0.0058
Chronic liver disease 4 0.17% 74 0.27% 0.0198 <5 <0.22% 17 0.25% 0.0158
Chronic kidney disease 523 22.70% 6448 23.20% 0.012 521 22.67% 1575 22.85% 0.0042
Anaemia 309 13.41% 3391 12.20% 0.0362 306 13.32% 930 13.49% 0.0051
Rheumatic disease 131 5.69% 1455 5.24% 0.0198 129 5.61% 401 5.82% 0.0087
Malignancy 225 9.77% 2713 9.76% 0.0001 224 9.75% 668 9.69% 0.0020
History of bleeding 54 2.34% 963 3.47% 0.0668 54 2.35% 169 2.45% 0.0066
Risk Scores
CHA2DS2-VASc score (mean ± SD) 4.21 1.64 4.26 1.77 0.0333 4.20 1.64 4.18 1.68 0.0161
HAS-BLED score (mean ± SD) 3.01 1.1 2.98 1.17 0.0282 3.01 1.10 2.94 1.11 0.0609
Charlson Comorbidity Index (mean ± SD) 3.18 2.25 3.43 2.31 0.1112 3.18 2.25 3.18 2.22 0.0036
Medications
Aspirin 897 38.93% 11546 41.55% 0.0534 894 38.90% 2742 39.77% 0.0178
Clopidogrel 288 12.50% 3269 11.76% 0.0226 285 12.40% 842 12.21% 0.0057
Ticlopidine 68 2.95% 724 2.61% 0.0211 68 2.96% 213 3.09% 0.0076
Ticagrelor 14 0.61% 411 1.48% 0.0858 14 0.0061 44 0.64% 0.0037
Bisoprolol 643 27.91% 10350 37.24% 0.2002 643 27.98% 1922 27.88% 0.0023
Digoxin 149 6.47% 4417 15.89% 0.3026 149 6.48% 443 6.43% 0.0024
Diltiazem 436 18.92% 7260 26.13% 0.1730 436 18.97% 1323 19.19% 0.0055
Metoprolol 29 1.26% 434 1.56% 0.0257 29 1.26% 100 1.45% 0.0163
Labetalol 40 1.74% 1091 3.93% 0.1323 40 1.74% 137 1.99% 0.0182
Propranolol 392 17.01% 4845 17.43% 0.0112 392 17.06% 1190 17.26% 0.0054
Atorvastatin 307 13.32% 4165 14.99% 0.0477 306 13.32% 962 13.95% 0.0186
Fluvastatin 50 2.17% 511 1.84% 0.0236 50 2.18% 165 2.39% 0.0146
Pravastatin 51 2.21% 528 1.90% 0.0221 50 2.18% 153 2.22% 0.0030
Pitavastatin 49 2.13% 614 2.21% 0.0057 49 2.13% 135 1.96% 0.0123
Irbesartan 156 6.77% 1551 5.58% 0.0494 154 6.70% 457 6.63% 0.0029
Losartan 223 9.68% 2947 10.60% 0.0307 223 9.70% 704 10.21% 0.0170
Olmesartan 140 6.08% 2070 7.45% 0.0547 140 6.09% 430 6.24% 0.0060
NSAIDs 529 22.96% 7439 26.77% 0.0882 528 22.98% 1582 22.95% 0.0007
Warfarin 420 18.23% 4860 17.49% 0.0193 419 18.23% 1249 18.12% 0.0030
NOACs 0.4073 0.0427
 Dabigatran 479 20.79% 10906 39.25% 479 20.84% 1408 20.42%
 Rivaroxaban 1305 56.64% 12518 45.05% 1304 56.74% 3937 57.11%
 Apixaban 345 14.97% 3367 12.12% 345 15.01% 1058 15.35%
 Edoxaban 175 7.60% 998 3.59% 170 7.40% 491 7.12%

ASMD, absolute standardized mean difference; COPD, chronic obstructive pulmonary disease; HIV, human immunodeficiency virus; NOAC, non-vitamin K antagonist oral anticoagulant; NSAID, non-steroidal anti-inflammatory drug; PSM, propensity score matching.

In terms of primary outcomes, the use of dronedarone was associated with significantly lower ICH [hazard ratio (HR) 0.61, 95% confidence interval (CI) 0.38–0.99, P = 0.0436], cardiovascular death (HR 0.24, 95% CI 0.16–0.37, P < 0.0001), and all-cause mortality (HR 0.33, 95% CI 0.27–0.42, P < 0.0001), when used concomitantly with NOACs (Table 2). There was no significant difference between the use of dronedarone and non-dronedarone AADs in AMI (P = 0.9104), IS/SE (P = 0.2324), and major bleeding (P = 0.2008). In terms of secondary outcome, the use of dronedarone was associated with significantly lower MACE (HR 0.56, 95% CI 0.45–0.70, P < 0.0001), when used concomitantly with NOACs (Table 2). Kaplan-Meier survival analyses also showed significant lower events with dronedarone in ICH (P = 0.0398), cardiovascular death (P < 0.0001), all-cause mortality (P < 0.0001), and MACE (P < 0.0001), compared to non-dronedarone AADs, when used concomitantly with NOACs (Graphical Abstract and Figure 2).

Table 2.

Study outcomes: dronedarone vs. non-dronedarone

Before PSM
No. of events/Person years Incidence rate [95%CI] No. of events/Person years Incidence rate [95%CI] Hazard ratio [95%CI]; P-value
(per 100 person-years) (per 100 person-years)
Dronedarone Non-dronedarone Dronedarone vs. Non-dronedarone
Acute myocardial infarction 14/3168.42 0.44 [0.21–0.67] 184/42984.02 0.43 [0.37–0.49] 1.01 [0.58–1.73]; P = 0.9849
Ischaemic stroke/systemic embolism 67/3115.76 2.15 [1.64–2.67] 1257/41629 3.02 [2.85–3.19] 0.69 [0.54–0.89]; P = 0.0036
Intracranial haemorrhage 20/3169.14 0.63 [0.35–0.91] 433/42727.61 1.01 [0.92–1.11] 0.62 [0.39–0.97]; P = 0.0349
Major bleeding 58/3132.02 1.85 [1.38–2.33] 928/42212.72 2.20 [2.06–2.34] 0.83 [0.63–1.08]; P = 0.1626
Cardiovascular death 24/3177.17 0.76 [0.45–1.06] 1692/43142.91 3.92 [3.73–4.11] 0.19 [0.12–0.28]; P < 0.0001
All-cause mortality 87/3177.17 2.74 [2.16–3.31] 4523/43142.91 10.48 [10.18–10.79] 0.25 [0.20–0.31]; P < 0.0001
MACE 98/3107.06 3.15 [2.53–3.78] 2787/41643.73 6.69 [6.44–6.94] 0.46 [0.37–0.56]; P < 0.0001
After PSM
No. of events/Person years Incidence rate [95%CI] No. of events/Person years Incidence rate [95%CI] Hazard ratio [95%CI]; P-value
(per 100 person-years) (per 100 person-years)
Dronedarone Non-dronedarone Dronedarone vs. Non-dronedarone
Acute myocardial infarction 14/3165 0.44 [0.21–0.67] 43/10213.59 0.42 [0.3–0.55] 1.04 [0.56–1.91]; P = 0.9104
Ischaemic stroke/systemic embolism 66/3112.5 2.12 [1.61–2.63] 245/9971.67 2.46 [2.15–2.76] 0.84 [0.64–1.11]; P = 0.2324
Intracranial haemorrhage 20/3165.72 0.63 [0.35–0.91] 105/10163.68 1.03 [0.84–1.23] 0.61 [0.38–0.99]; P = 0.0436
Major bleeding 58/3128.6 1.85 [1.38–2.33] 224/10051.59 2.23 [1.94–2.52] 0.83 [0.61–1.11]; P = 0.2008
Cardiovascular death 24/3173.75 0.76 [0.45–1.06] 313/10249.24 3.05 [2.72–3.39] 0.24 [0.16–0.37]; P < 0.0001
All-cause mortality 87/3173.75 2.74 [2.17–3.32] 830/10249.24 8.10 [7.55–8.65] 0.33 [0.27–0.42]; P < 0.0001
MACE 97/3103.8 3.13 [2.50–3.75] 542/9965.11 5.44 [4.98–5.90] 0.56 [0.45–0.70]; P < 0.0001

MACE, major adverse cardiovascular event, a composite of myocardial infarction, ischaemic stroke or cardiovascular death; PSM, propensity score matching.

Figure 2.

Figure 2

Comparison of secondary study outcome of major adverse cardiovascular event (MACE), which was a composite of acute myocardial infarction, ischaemic stroke, and cardiovascular death in patients with AF using dronedarone vs. non-dronedarone antiarrhythmic drugs.

The mean daily doses of AADs at index date were dronedarone 736.38 ± 146.69 mg, amiodarone 256.32 ± 114.67 mg, propafenone 326.31 ± 93.50 mg, flecainide 184.58 ± 43.83 mg, and sotalol 280.68 ± 88.35 mg (Table 3). When used concomitantly with dronedarone, the mean daily dose of NOACs were dabigatran 204.67 ± 50.49 mg, rivaroxaban 13.45 ± 3.66 mg, apixaban 9.59 ± 1.38 mg, and edoxaban 44.17 ± 15.02 mg. When used concomitantly with non-dronedarone AADs, the mean daily doses of NOACs after matching were dabigatran 214.37 ± 41.19 mg, rivaroxaban 13.17 ± 3.54 mg, apixaban 9.76 ± 1.08 mg, and edoxaban 47.84 ± 14.93 mg (Table 3). Therefore, the NOACs doses were similar between groups. Switching of medications and adjustment of medication dose are shown in Supplementary material online, Tables S2 and S3, respectively. Rates of switching AAD were on the order of sotalol (63.93%) > dronedarone (39.25%) > flecainide (30.67%) > propafenone (32.45%) > amiodarone (13.81%). Rates of adjustment of AAD dose were on the order of amiodarone (26.71%) > propafenone (20.98%) > sotalol (15.25%) > dronedarone (9.15%) > flecainide (7.58%).

Table 3.

Mean daily AAD and NOAC dose at index and during follow-up: dronedarone vs. Non-Dronedarone

Before PSM After PSM (1:3)
Index,
mean ± SD
Follow-up,
mean ± SD
Index,
mean ± SD
Follow-up,
mean ± SD
Mean Daily AAD Dose Mean Daily AAD Dose
Dronedarone Dronedarone 736.2 ±146.86 733.09 ±140.69 Dronedarone Dronedarone 736.38 ±146.69 733.27 ±140.5
Non-dronedarone Amiodarone 260.04 ±118.02 240.98 ±90.4 Non-dronedarone Amiodarone 256.32 ±114.67 235.39 ±84.91
Propafenone 324.53 ±91.86 320.5 ±85.71 Propafenone 326.31 ±93.50 322.2 ±88.54
Flecainide 192.93 ±37.03 190.85 ±37.83 Flecainide 184.58 ±43.83 183.21 ±45.39
Sotalol 286.39 ±78.84 281.49 ±79.22 Sotalol 280.68 ±88.35 273.07 ±90.92
Mean Daily NOAC Dose Mean Daily NOAC Dose
Dronedarone Dabigatran 204.67 ±50.49 205.15 ±47.97 Dronedarone Dabigatran 204.67 ±50.49 205.15 ±47.97
Rivaroxaban 13.45 ±3.66 13.14 ±3.25 Rivaroxaban 13.45 ±3.66 13.15 ±3.25
Apixaban 9.59 ±1.38 9.62 ±1.23 Apixaban 9.59 ±1.38 9.62 ±1.23
Edoxaban 44.11 ±15.02 43.69 ±14.83 Edoxaban 44.17 ±15.02 43.74 ±14.84
Non-dronedarone Dabigatran 217.4 ±42.02 216.69 ±39.12 Non-dronedarone Dabigatran 214.37 ±41.19 212.93 ±39.2
Rivaroxaban 13.97 ±3.68 13.7 ±3.16 Rivaroxaban 13.71 ±3.54 13.46 ±3.12
Apixaban 9.78 ±1.03 9.78 ±0.93 Apixaban 9.76 ±1.08 9.75 ±0.98
Edoxaban 47.51 ±14.94 47.15 ±14.69 Edoxaban 47.84 ±14.93 47.3 ±14.59

AAD, anti-arrhythmic drug; NOAC, non-vitamin K antagonist oral anticoagulant; PSM, propensity-score matching.

Protocol 2: dronedarone vs. amiodarone

After 1:3 matching, there were 2231 dronedarone users and 6693 amiodarone users eligible for analysis (Figure 3). There were 50.34% male in dronedarone group and 50.52% in amiodarone group, with mean age 75.88 in dronedarone group and 75.74 in amiodarone group (Table 4). Mean CHA2DS2-VASc score was 4.21 in dronedarone group and 4.17 in amiodarone group. Mean HAS-BLED score was 3.01 in dronedarone group and 2.94 in amiodarone group. Mean CCI was 3.20 in dronedarone group and 3.17 in amiodarone group.

Figure 3.

Figure 3

Study design and flow chart for the enrollment of patients with AF using dronedarone vs. amiodarone.

Table 4.

Summary of baseline characteristics of study patients: dronedarone vs. amiodarone

Demographics Before PSM After PSM (1:3)
Dronedarone Amiodarone ASMD Dronedarone Amiodarone ASMD
(n = 2304) (n = 20530) (n = 2231) (n = 6693)
n % n % n % n %
Male 1150 49.91% 11326 55.17% 0.1054 1123 50.34% 3381 50.52% 0.0036
Age (mean ± SD) 75.98 8.1 74.63 10.27 0.1463 75.88 8.07 75.74 9.56 0.0150
Comorbidities
Hypertension 1978 85.85% 17626 85.85% 0.0001 1910 85.61% 5736 85.70% 0.0026
Myocardial infarction 90 3.91% 1253 6.10% 0.1009 88 3.94% 273 4.08% 0.0069
Congestive heart failure 629 27.30% 8586 41.82% 0.3090 626 28.06% 1886 28.18% 0.0027
Peripheral vascular disease 204 8.85% 2045 9.96% 0.0379 202 9.05% 607 9.07% 0.0005
Cerebrovascular disease 859 37.28% 9445 46.01% 0.1776 843 37.79% 2538 37.92% 0.0028
Ischaemic stroke 523 22.70% 6837 33.30% 0.2378 519 23.26% 1558 23.28% 0.0004
Transient ischaemic attack 241 10.46% 2042 9.95% 0.0170 234 10.49% 703 10.50% 0.0005
Diabetes mellitus 811 35.20% 7957 38.76% 0.0738 786 35.23% 2319 34.65% 0.0122
COPD 780 33.85% 7487 36.47% 0.0548 760 34.07% 2275 33.99% 0.0016
Peptic ulcer disease 1096 47.57% 8744 42.59% 0.1002 1050 47.06% 3137 46.87% 0.0039
Chronic liver disease 4 0.0017 60 0.29% 0.0246 <5 <0.22% 13 0.19% 0.0035
Chronic kidney disease 523 22.70% 5132 25.00% 0.0539 508 22.77% 1511 22.58% 0.0046
Anaemia 309 13.41% 2619 12.76% 0.0194 299 13.40% 907 13.55% 0.0044
Rheumatic disease 131 5.69% 1046 5.09% 0.0262 122 5.47% 402 6.01% 0.0231
Malignancy 225 9.77% 2023 9.85% 0.0030 221 9.91% 652 9.74% 0.0055
History of bleeding 54 2.34% 826 4.02% 0.0958 54 2.42% 163 2.44% 0.0010
Risk Scores
CHA2DS2-VASc score (mean ± SD) 4.21 1.64 4.42 1.78 0.1221 4.21 1.65 4.17 1.67 0.0260
HAS-BLED score (mean ± SD) 3.01 1.1 3.05 1.17 0.0326 3.01 1.11 2.94 1.11 0.0666
Charlson Comorbidity Index (mean ± SD) 3.18 2.25 3.60 2.33 0.1836 3.20 2.26 3.17 2.17 0.0137
Medications
Aspirin 897 38.93% 8748 42.61% 0.0749 869 38.95% 2662 39.77% 0.0168
Clopidogrel 288 12.50% 2695 13.13% 0.0188 276 12.37% 807 12.06% 0.0096
Ticlopidine 68 2.95% 521 2.54% 0.0253 63 2.82% 190 2.84% 0.0009
Ticagrelor 14 0.0061 375 1.83% 0.1113 14 0.0063 36 0.54% 0.0118
Bisoprolol 643 27.91% 8014 39.04% 0.2375 639 28.64% 1905 28.46% 0.0040
Digoxin 149 6.47% 3774 18.38% 0.3673 149 6.68% 455 6.80% 0.0048
Diltiazem 436 18.92% 5805 28.28% 0.2216 433 19.41% 1306 19.51% 0.0026
Metoprolol 29 1.26% 312 1.52% 0.0223 29 1.30% 80 1.20% 0.0094
Labetalol 40 1.74% 956 4.66% 0.1666 40 1.79% 125 1.87% 0.0056
Propranolol 392 17.01% 3291 16.03% 0.0265 380 17.03% 1168 17.45% 0.0111
Atorvastatin 307 13.32% 3153 15.36% 0.0580 299 13.40% 873 13.04% 0.0106
Fluvastatin 50 2.17% 386 1.88% 0.0206 47 2.11% 134 2.00% 0.0074
Pravastatin 51 2.21% 374 1.82% 0.0279 48 2.15% 140 2.09% 0.0041
Pitavastatin 49 2.13% 464 2.26% 0.0091 48 2.15% 161 2.41% 0.0170
Irbesartan 156 6.77% 1092 5.32% 0.0609 145 6.50% 439 6.56% 0.0024
Losartan 223 9.68% 2194 10.69% 0.0333 219 9.82% 657 9.82% 0.0000
Olmesartan 140 6.08% 1585 7.72% 0.0649 138 6.19% 417 6.23% 0.0019
NSAIDs 529 22.96% 5677 27.65% 0.1081 521 23.35% 1601 23.92% 0.0134
Warfarin 420 18.23% 3651 17.78% 0.0116 407 18.24% 1186 17.72% 0.0136
NOACs 0.4216 0.0478
 Dabigatran 479 20.79% 7949 38.72% 479 21.47% 1451 21.68%
 Rivaroxaban 1305 56.64% 9507 46.31% 1283 57.51% 3862 57.70%
 Apixaban 345 14.97% 2386 11.62% 337 15.11% 974 14.55%
 Edoxaban 175 7.60% 688 3.35% 132 5.92% 406 6.07%

ASMD, absolute standardized mean difference; COPD, chronic obstructive pulmonary disease; HIV, human immunodeficiency virus; NOAC, non-vitamin K antagonist oral anticoagulant; NSAID, non-steroidal anti-inflammatory drug; PSM, propensity score matching.

In terms of primary outcomes, the use of dronedarone was associated with significantly lower ICH (HR 0.53, 95% CI 0.33–0.84, P = 0.0078), cardiovascular death (HR 0.20, 95% CI 0.13–0.31, P < 0.0001), and all-cause mortality (HR 0.27, 95% CI 0.22–0.34, P < 0.0001), compared to the use of amiodarone, when used concomitantly with NOACs (Table 5). There was no significant difference between the use of dronedarone and amiodarone in AMI (P = 0.5552), IS/SE (P = 0.4200), and major bleeding (P = 0.0918). In terms of the secondary outcome, the use of dronedarone was associated with a significant reduction in MACE (HR 0.53, 95% CI 0.43–0.66, P < 0.0001), compared to amiodarone, when used concomitantly with NOACs (Table 5). Kaplan-Meier survival analyses showed significant lower events with dronedarone in ICH (P = 0.0068), cardiovascular death (P < 0.0001), all-cause mortality (P < 0.0001), and MACE (P < 0.0001), compared to amiodarone, when used concomitantly with NOACs (Figures 4 and 5).

Table 5.

Study outcomes: dronedarone vs. amiodarone

Before PSM
No. of events/Person years Incidence rate [95%CI] No. of events/Person years Incidence rate [95%CI] Hazard ratio [95%CI]; P-value
(per 100 person-years) (per 100 person-years)
Dronedarone Amiodarone Dronedarone vs. Amiodarone
Acute myocardial infarction 14/3168.42 0.44 [0.21–0.67] 143/32218.6 0.44 [0.37–0.52] 0.96 [0.56–1.67]; P = 0.8979
Ischaemic stroke/systemic embolism 67/3115.76 2.15 [1.64–2.67] 1039/31078.76 3.34 [3.14–3.55] 0.62 [0.49–0.8]; P = 0.0002
Intracranial haemorrhage 20/3169.14 0.63 [0.35–0.91] 342/31993.54 1.07 [0.96–1.18] 0.58 [0.37–0.92]; P = 0.0193
Major bleeding 58/3132.02 1.85 [1.38–2.33] 739/31581.28 2.34 [2.17–2.51] 0.78 [0.59–1.01]; P = 0.0630
Cardiovascular death 24/3177.17 0.76 [0.45–1.06] 1603/32348.02 4.96 [4.71–5.20] 0.15 [0.10–0.22]; P < 0.0001
All-cause mortality 87/3177.17 2.74 [2.16–3.31] 4280/32348.02 13.23 [12.83–13.63] 0.20 [0.16–0.24]; P < 0.0001
MACE 98/3107.06 3.15 [2.53–3.78] 2470/31103.81 7.94 [7.63–8.25] 0.38 [0.31–0.47]; P < 0.0001
After PSM
No. of events/Person years Incidence rate [95%CI] No. of events/Person years Incidence rate [95%CI] Hazard ratio [95%CI]; P-value
(per 100 person-years) (per 100 person-years)
Dronedarone Amiodarone Dronedarone vs. Amiodarone
Acute myocardial infarction 14/3096.92 0.45 [0.22–0.69] 38/10329.84 0.37 [0.25–0.48] 1.21 [0.65–2.24]; P = 0.5552
Ischaemic stroke/systemic embolism 65/3046.32 2.13 [1.62–2.65] 237/10094.4 2.35 [2.05–2.65] 0.89 [0.68–1.18]; P = 0.4200
Intracranial haemorrhage 20/3097.64 0.65 [0.36–0.93] 124/10250.81 1.21 [1.00–1.42] 0.53 [0.33–0.84]; P = 0.0078
Major bleeding 58/3060.52 1.90 [1.41–2.38] 241/10121.91 2.38 [2.08–2.68] 0.78 [0.59–1.04]; P = 0.0918
Cardiovascular death 23/3105.67 0.74 [0.44–1.04] 370/10359.67 3.57 [3.21–3.94] 0.20 [0.13–0.31]; P < 0.0001
All-cause mortality 85/3105.67 2.74 [2.16–3.32] 1008/10359.67 9.73 [9.13–10.33] 0.27 [0.22–0.34]; P < 0.0001
MACE 95/3037.62 3.13 [2.50–3.76] 581/10085.53 5.76 [5.29–6.23] 0.53 [0.43–0.66]; P < 0.0001

MACE, major adverse cardiovascular event, a composite of myocardial infarction, ischaemic stroke or cardiovascular death.

Figure 4.

Figure 4

Comparison of primary study outcomes of acute myocardial infarction, ischaemic stroke/systemic embolism, intracranial haemorrhage, major bleeding, cardiovascular death, and all-cause mortality in patients with AF using dronedarone vs. amiodarone.

Figure 5.

Figure 5

Comparison of secondary study outcome of major adverse cardiovascular event (MACE), which was a composite of acute myocardial infarction, ischaemic stroke, and cardiovascular death in patients with atrial fibrillation using dronedarone vs. amiodarone.

The mean daily doses of dronedarone at index date were 736.28 ± 146.79 mg and amiodarone 256.28 ± 83.6 mg (Table 6). When used concomitantly with dronedarone, the mean daily doses of NOACs were dabigatran 204.67 ± 50.49 mg, rivaroxaban 13.45 ± 3.66 mg, apixaban 9.59 ± 1.37 mg, and edoxaban 44.52 ± 15.05 mg. When used concomitantly with amiodarone, the mean daily doses of NOACs were dabigatran 217.04 ± 41.84 mg, rivaroxaban 13.75 ± 3.62 mg, apixaban 9.78 ± 1.02 mg, and edoxaban 47.54 ± 14.86 mg (Table 6). Switching of medications and adjustment of medication dose are shown in Supplementary material online, Tables S4 and S5, respectively. Rates of switching AAD was dronedarone (39.71%) > amiodarone (13.94%). Rates of adjustment of AAD dose were amiodarone (25.68%) > dronedarone (9.22%).

Table 6.

Mean daily AAD and NOAC dose at index and during follow-up: dronedarone vs. Amiodarone

Before PSM After PSM (1:3)
Index,
mean ± SD
Follow-up,
mean ± SD
Index,
mean ± SD
Follow-up,
mean ± SD
Mean Daily AAD Dose Mean Daily AAD Dose
Dronedarone Dronedarone 736.20 ±146.86 733.09 ±140.69 Dronedarone Dronedarone 736.28 ±146.79 732.79 ±140.94
Amiodarone Amiodarone 260.04 ±118.02 240.98 ±90.4 Amiodarone Amiodarone 256.28 ±112.96 236.43 ±85.22
Mean Daily NOAC Dose Mean Daily NOAC Dose
Dronedarone Dabigatran 204.67 ±50.49 205.15 ±47.97 Dronedarone Dabigatran 204.67 ±50.49 205.15 ±47.97
Rivaroxaban 13.45 ±3.66 13.14 ±3.25 Rivaroxaban 13.45 ±3.66 13.15 ±3.26
Apixaban 9.59 ±1.38 9.62 ±1.23 Apixaban 9.59 ±1.37 9.63 ±1.23
Edoxaban 44.11 ±15.02 43.69 ±14.83 Edoxaban 44.52 ±15.05 44.06 ±14.83
Amiodarone Dabigatran 216.85 ±43.20 215.88 ±40.2 Amiodarone Dabigatran 217.04 ±41.84 215.42 ±39.36
Rivaroxaban 13.99 ±3.72 13.72 ±3.17 Rivaroxaban 13.75 ±3.62 13.52 ±3.13
Apixaban 9.80 ±0.99 9.8 ±0.9 Apixaban 9.78 ±1.02 9.81 ±0.87
Edoxaban 47.63 ±15.00 46.82 ±14.65 Edoxaban 47.54 ±14.86 46.85 ±14.37

AAD, anti-arrhythmic drug; NOAC, non-vitamin K antagonist oral anticoagulant; PSM, propensity-score matching.

Protocol 3: dronedarone vs. propafenone

After 1:3 matching, there were 812 dronedarone users and 2436 propafenone users eligible for analysis (Figure 6). There were 52.34% male in dronedarone group and 53.04% in amiodarone group, with mean age 72.11 in dronedarone group and 72.11 in amiodarone group (Table 7). Mean CHA2DS2-VASc score was 3.77 in dronedarone group and 3.65 in amiodarone group. Mean HAS-BLED score was 2.79 in dronedarone group and 2.70 in amiodarone group. Mean CCI was 2.91 in dronedarone group and 2.08 in amiodarone group.

Figure 6.

Figure 6

Study design and flow chart for the enrollment of patients with AF using dronedarone vs. propafenone.

Table 7.

Baseline characteristics of study patients: dronedarone vs. propafenone

Demographics Before PSM ASMD After PSM (1:3) ASMD
Dronedarone Propafenone Dronedarone Propafenone
(n = 2304) (n = 6860) (n = 812) (n = 2436)
n % n % n % n %
Male 1150 49.91% 3573 52.08% 0.0434 425 52.34% 1292 53.04% 0.0140
Age (mean ± SD) 75.98 8.1 72.6 9.91 0.3741 72.11 8.28 72.11 8.28 0.1144
Comorbidities
Hypertension 1978 85.85% 5668 82.62% 0.0886 652 80.30% 1971 80.91% 0.0156
Myocardial infarction 90 3.91% 142 2.07% 0.1080 7 0.86% 35 1.44% 0.0539
Congestive heart failure 629 27.30% 1817 26.49% 0.0183 232 28.57% 638 26.19% 0.0534
Peripheral vascular disease 204 8.85% 551 8.03% 0.0296 66 8.13% 176 7.22% 0.0339
Cerebrovascular disease 859 37.28% 2526 36.82% 0.0095 306 37.68% 860 35.30% 0.0495
Ischaemic stroke 523 22.70% 1622 23.64% 0.0224 197 24.26% 562 23.07% 0.0280
Transient ischaemic attack 241 10.46% 690 10.06% 0.0132 90 11.08% 246 10.10% 0.0320
Diabetes mellitus 811 35.20% 2282 33.27% 0.0408 257 31.65% 819 33.62% 0.0420
COPD 780 33.85% 2182 31.81% 0.0436 264 32.51% 758 31.12% 0.0300
Peptic ulcer disease 1096 47.57% 3019 44.01% 0.0715 356 43.84% 1022 41.95% 0.0382
Moderate or severe liver disease 4 0.17% 14 0.20% 0.0070 <5 <0.62% 6 0.25% 0.0000
Chronic kidney disease 523 22.70% 1234 17.99% 0.1172 129 15.89% 381 15.64% 0.0068
Anaemia 309 13.41% 728 10.61% 0.0862 80 9.85% 198 8.13% 0.0603
Rheumatic disease 131 5.69% 384 5.60% 0.0038 49 6.03% 137 5.62% 0.0175
Malignancy 225 9.77% 647 9.43% 0.0113 84 10.34% 234 9.61% 0.0247
History of bleeding 54 2.34% 132 1.92% 0.0290 11 1.35% 36 1.48% 0.0104
Risk Scores
CHA2DS2-VASc score (mean ± SD) 4.21 1.64 3.84 1.68 0.2206 3.77 1.67 3.65 1.69 0.0683
HAS-BLED score (mean ± SD) 3.01 1.1 2.80 1.12 0.1966 2.79 1.15 2.7 1.12 0.0821
Charlson Comorbidity Index (mean ± SD) 3.18 2.25 2.96 2.17 0.1006 2.91 2.16 2.86 2.08 0.0226
Medications
Aspirin 897 38.93% 2689 39.20% 0.0055 319 39.29% 962 39.49% 0.0042
Clopidogrel 288 12.50% 537 7.83% 0.1551 55 6.77% 136 5.58% 0.0495
Ticlopidine 68 2.95% 187 2.73% 0.0136 20 2.46% 70 2.87% 0.0255
Ticagrelor 14 0.61% 33 0.48% 0.0172 <5 0.22% 10 0.41% 0.0066
Bisoprolol 643 27.91% 2209 32.20% 0.0937 281 34.61% 868 35.63% 0.0215
Digoxin 149 6.47% 608 8.86% 0.0902 94 11.58% 244 10.02% 0.0503
Diltiazem 436 18.92% 1375 20.04% 0.0283 189 23.28% 486 19.95% 0.0809
Metoprolol 29 1.26% 114 1.66% 0.0336 12 1.48% 51 2.09% 0.0465
Labetalol 40 1.74% 130 1.90% 0.0119 20 2.46% 46 1.89% 0.0394
Propranolol 392 17.01% 1489 21.71% 0.119 210 25.86% 591 24.26% 0.0369
Atorvastatin 307 13.32% 948 13.82% 0.0144 102 12.56% 357 14.66% 0.0611
Fluvastatin 50 2.17% 120 1.75% 0.0304 16 1.97% 39 1.60% 0.0279
Pravastatin 51 2.21% 147 2.14% 0.0048 15 1.85% 54 2.22% 0.0262
Pitavastatin 49 2.13% 132 1.92% 0.0144 11 1.35% 46 1.89% 0.0423
Irbesartan 156 6.77% 432 6.30% 0.0192 51 6.28% 159 6.53% 0.0101
Losartan 223 9.68% 708 10.32% 0.0214 92 11.33% 246 10.10% 0.0398
Olmesartan 140 6.08% 456 6.65% 0.0234 54 6.65% 178 7.31% 0.0258
NSAIDs 529 22.96% 1662 24.23% 0.0299 191 23.52% 634 26.03% 0.0580
Warfarin 420 18.23% 1129 16.46% 0.0468 122 15.02% 399 16.38% 0.0372
NOACs 0.4476 0.0417
 Dabigatran 479 20.79% 2844 41.46% 430 52.96% 1251 51.35%
 Rivaroxaban 1305 56.64% 2821 41.12% 247 30.42% 763 31.32%
 Apixaban 345 14.97% 920 13.41% 120 14.78% 389 15.97%
 Edoxaban 175 7.60% 275 4.01% 15 1.85% 33 1.35%

ASMD, absolute standardized mean difference; COPD, chronic obstructive pulmonary disease; HIV, human immunodeficiency virus; NOAC, non-vitamin K antagonist oral anticoagulant; NSAID, non-steroidal anti-inflammatory drug; PSM, propensity score matching.

In terms of primary outcomes, there was no significant difference between the use of dronedarone and propafenone in AMI (P = 0.1135), IS/SE (P = 0.6402), ICH (P = 0.5521), major bleeding (P = 0.5645), cardiovascular death (P = 0.0908), and all-cause mortality (P = 0.6452), when used concomitantly with NOACs (Table 8). In terms of the secondary outcome, there was also no significant difference between the use of dronedarone and propafenone in MACE (P = 0.7068), when used concomitantly with NOACs (HR 0.38, 95% CI 0.31–0.47, P < 0.0001) (Table 8). Kaplan-Meier survival analyses showed no difference between the use of dronedarone and propafenone in both primary and secondary outcomes (Figures 7 and 8).

Table 8.

Study outcomes: dronedarone vs. propafenone

Before PSM
No. of events/Person years Incidence rate [95%CI] No. of events/Person years Incidence rate [95%CI] Hazard ratio [95%CI]; P-value
(per 100 person-years) (per 100 person-years)
Dronedarone Propafenone Dronedarone vs. Propafenone
Acute myocardial infarction 14/3168.42 0.44 [0.21–0.67] 39/10236.06 0.38 [0.26–0.50] 1.14 [0.62–2.11]; P = 0.6670
Ischaemic stroke/systemic embolism 67/3115.76 2.15 [1.64–2.67] 210/10023.41 2.10 [1.81–2.38] 1.00 [0.76–1.32]; P = 0.9950
Intracranial haemorrhage 20/3169.14 0.63 [0.35–0.91] 86/10206.4 0.84 [0.66–1.02] 0.75 [0.46–1.22]; P = 0.2419
Major bleeding 58/3132.02 1.85 [1.38–2.33] 182/10107.67 1.80 [1.54–2.06] 1.01 [0.75–1.36]; P = 0.9293
Cardiovascular death 24/3177.17 0.76 [0.45–1.06] 82/10263.69 0.80 [0.63–0.97] 0.95 [0.61–1.50]; P = 0.8400
All-cause mortality 87/3177.17 2.74 [2.16–3.31] 231/10263.69 2.25 [1.96–2.54] 1.23 [0.96–1.57]; P = 0.1010
MACE 98/3107.06 3.15 [2.53–3.78] 303/10014.92 3.03 [2.68–3.37] 1.02 [0.82–1.29]; P = 0.8362
After PSM
No. of events/Person years Incidence rate [95%CI] No. of events/Person years Incidence rate [95%CI] Hazard ratio [95%CI]; P-value
(per 100 person-years) (per 100 person-years)
Dronedarone Propafenone Dronedarone vs. Propafenone
Acute myocardial infarction 9/1205.18 0.75 [0.34–1.42] 15/3828.01 0.39 [0.19–0.59] 1.96 [0.85–4.52]; P = 0.1135
Ischaemic stroke/systemic embolism 27/1186.81 2.27 [1.42–3.13] 75/3759.25 2.00 [1.54–2.45] 1.11 [0.71–1.73]; P = 0.6402
Intracranial haemorrhage 7/1208.56 0.58 [0.23–1.19] 29/3824.08 0.76 [0.48–1.03] 0.78 [0.34–1.78]; P = 0.5521
Major bleeding 21/1191.43 1.76 [1.01–2.52] 57/3800.35 1.50 [1.11–1.89] 1.16 [0.70–1.94]; P = 0.5645
Cardiovascular death <5 0.33 [0.09–0.84] 31/3840.67 0.81 [0.52–1.09] 0.42 [0.15–1.15]; P = 0.0908
All-cause mortality 23/1212.32 1.9 [1.12–2.67] 81/3840.67 2.11 [1.65–2.57] 0.90 [0.57–1.42]; P = 0.6452
MACE 38/1179.67 3.22 [2.2–4.25] 111/3750.3 2.96 [2.41–3.51] 1.07 [0.74–1.56]; P = 0.7068

MACE, major adverse cardiovascular event, a composite of myocardial infarction, ischaemic stroke or cardiovascular death.

Figure 7.

Figure 7

Comparison of primary study outcomes of acute myocardial infarction, ischaemic stroke/systemic embolism, intracranial haemorrhage, major bleeding, cardiovascular death, and all-cause mortality in patients with AF using dronedarone vs. propafenone.

Figure 8.

Figure 8

Comparison of secondary study outcome of major adverse cardiovascular event (MACE), which was a composite of acute myocardial infarction, ischaemic stroke, and cardiovascular death in patients with atrial fibrillation ( using dronedarone vs. propafenone.

The mean daily doses of dronedarone at index date were 737.80 ± 145.04 mg and propafenone 325.10 ± 91.49 mg (Table 9). When used concomitantly with dronedarone, the mean daily doses of NOACs were dabigatran 206.97 ± 48.39 mg, rivaroxaban 13.55 ± 3.34 mg, apixaban 9.79 ± 1.02 mg, and edoxaban 54.00 ± 12.42 mg. When used concomitantly with propafenone, the mean daily doses of NOACs were dabigatran 216.61 ± 38.80 mg, rivaroxaban 14.18 ± 3.35 mg, apixaban 9.80 ± 0.97 mg, and edoxaban 47.42 ± 15.05 mg (Table 9). Switching of medications and adjustment of medication dose are shown in Supplementary material online, Tables S6 and S7, respectively. Rates of switching AAD were dronedarone (45.81%) > propafenone (33.91%). Rates of adjustment of AAD dose were propafenone (22.09%) > dronedarone (10.24%).

Table 9.

Mean daily AAD and NOAC dose at index and during follow-up: dronedarone vs. Propafenone

Before PSM After PSM (1:3)
Index,
mean ± SD
Follow-up,
mean ± SD
Index,
mean ± SD
Follow-up,
mean ± SD
Mean Daily AAD Dose Mean Daily AAD Dose
Dronedarone Dronedarone 736.20 ±146.86 733.09 ±140.69 Dronedarone Dronedarone 737.8 ±145.04 733.16 ±139.19
Propafenone Propafenone 324.53 ±91.86 302.59 ±133.67 Propafenone Propafenone 325.1 ±91.49 297.31 ±130.16
Mean Daily NOAC Dose Mean Daily NOAC Dose
Dronedarone Dabigatran 204.67 ±50.49 205.15 ±47.97 Dronedarone Dabigatran 206.97 ±48.39 208.11 ±44.65
Rivaroxaban 13.45 ±3.66 13.14 ±3.25 Rivaroxaban 13.55 ±3.34 13.34 ±2.89
Apixaban 9.59 ±1.38 9.62 ±1.23 Apixaban 9.79 ±1.02 9.83 ±0.71
Edoxaban 44.11 ±15.02 43.69 ±14.83 Edoxaban 54 ±12.42 52.75 ±12.71
Propafenone Dabigatran 218.69 ±38.96 218.71 ±36.14 Propafenone Dabigatran 216.61 ±38.8 216.37 ±35.91
Rivaroxaban 13.9 ±3.55 13.65 ±3.16 Rivaroxaban 14.18 ±3.35 14 ±2.9
Apixaban 9.72 ±1.15 9.74 ±1.01 Apixaban 9.8 ±0.97 9.87 ±0.72
Edoxaban 48.21 ±14.76 48.26 ±14.77 Edoxaban 47.42 ±15.05 46.77 ±15.04

AAD, anti-arrhythmic drug; NOAC, non-vitamin K antagonist oral anticoagulant; PSM, propensity-score matching.

Discussion

This is the first nationwide retrospective study that compared the use of dronedarone with non-dronedarone AADs, the use of dronedarone with amiodarone, and the use of dronedarone with propafenone, in patients with AF, to assess cardiovascular events and bleeding risks, when used concomitantly with NOACs. Our findings showed that: (1) The use of dronedarone was associated with lower risks of ICH, cardiovascular death, all-cause mortality, and MACE, but a similar risk of AMI, IS/SE, and major bleeding compared to the use of non-dronedarone AADs, when used concomitantly with NOACs. (2) The use of dronedarone was associated with lower risks of ICH, cardiovascular death, all-cause mortality, and MACE but similar risks of AMI, IS/SE, and major bleeding, compared to amiodarone, when used concomitantly with NOACs. (3) The use of dronedarone had similar risks of AMI, IS/SE, ICH, major bleeding, cardiovascular death, all-cause mortality, and MACE, compared to propafenone, when used concomitantly with NOACs. (4) Our study revealed the doses of NOACs used in clinical practice, which was lacking in previous large observational studies, were similar between groups and thus are not likely to be factors that affected the outcomes.

The ATHENA trial and its post hoc analyses demonstrated the cardiovascular benefits of dronedarone including reducing the risk of stroke or first acute coronary syndrome.2 In EAST-AFNET 4 study, early rhythm-control strategy was associated with reduced risk in the composite outcome of cardiovascular mortality, stroke, HF hospitalization, or acute coronary syndrome hospitalization, when compared to usual care, in patients with recently diagnosed AF.11 Notably, the difference in this composite outcome is driven by the reduction in cardiovascular mortality or stroke. This study has prompted the use of rhythm control therapies on top of usual care which include anticoagulation for early AF patients. However, NOACs were not available in the early studies of dronedarone, and only about half of patients used NOACs in EAST-AFNET 4.12

Several retrospective studies that compared the efficacy of dronedarone against other AADs have been reported. In a Swedish registry study of 300 000 patients with AF, dronedarone or flecainide was associated with a lower all-cause mortality than sotalol (HR 0.44, 95% CI 0.34–0.57 or HR 0.55, 95% CI 0.44–0.68, respectively).13 Additionally, dronedarone was the only AAD associated with a lower risk of ventricular arrhythmia vs. sotalol (HR 0.58, 95% CI 0.37–0.90). In a German retrospective study of 3498 patients using dronedarone and 17 724 patients using other AADs (amiodarone, flecainide, propafenone, or sotalol), dronedarone was associated with lower risks of myocardial infarction (HR 0.78, 95% CI 0.63–0.96; P = 0.020) or stroke (HR 0.84, 95% CI 0.71–0.99; P = 0.043).14 Another retrospective study in the USA analysed 10 455 patients, and found that when compared to dronedarone, amiodarone was associated with higher risks of cardiovascular event (HR 1.7, 95% CI 1.1–2.4) or stroke (HR 2.0, 95% CI 1.33–2).15 However, the proportion of NOAC users in all these studies ranged from 3–30% or was unknown, and NOAC doses were unknown. Thus, it remains to be determined if similar observations could be made when all the patients concomitantly used NOACs. A small-scale Taiwanese retrospective study compared rivaroxaban alone, and with concomitant amiodarone, dronedarone, or propafenone.16 Their study showed that the concomitant use of rivaroxaban and dronedarone was associated with the lowest risk of all-cause mortality (P = 0.013), and there was no difference in the safety endpoint of both major and minor bleedings among the four groups (P = 0.892).

In this study, in terms of efficacy outcomes, we showed that dronedarone was associated with lower ICH, cardiovascular death, all-cause mortality, and MACE, when compared to non-dronedarone AADs as a group or to amiodarone only, in addition to NOACs. Our study showed that there was no advantage of AMI or IS/SE, for use of dronedarone over non-dronedarone AADs nor directly to amiodarone. Our study results differed in terms of AMI outcome as the German study,13 and did not show the beneficial stroke outcome with the use of dronedarone vs. amiodarone as in the US study.15 In terms of all-cause mortality, our result is consistent with the Taiwanese retrospective study.16 Overall, the efficacy outcomes of our studies were generally consistent with previous studies. On the other hand, our study showed that the use of dronedarone was not associated with difference in cardiovascular events compared to the use of propafenone. There were little data regarding the comparison of the cardiovascular outcomes using dronedarone vs. propafenone in patients with AF, except Korean studies that showed they have similar efficacy in maintenance of sinus rhythm in patients with AF after electrical cardioversion.16,17

In terms of safety outcomes, dronedarone was associated with significantly lower ICH, compared to non-dronedarone AADs and amiodarone, when used concomitantly with NOACs. Our results that showed no significant difference in major bleeding between dronedarone and amiodarone was consistent with the Taiwanese retrospective study, although it is worth mentioning that their study combined both major and minor bleeding in their safety endpoint.18 Another retrospective study in Taiwan by Chang S.H. and colleagues assessed the bleeding risks of concomitant use of AADs and NOACs vs. NOACs alone.19 The study found that the concomitant use of dronedarone with NOACs was not associated with an increased major bleeding, when compared to NOACs alone [rate ratio (RR) 0.89, 99% CI 0.71–1.13]. However, the concomitant use of amiodarone with NOACs was associated with an increased major bleeding (RR 1.37, 99% CI 1.25–1.5).19 A US retrospective study found that the concomitant use of dronedarone with apixaban was not associated with increased bleeding when compared with apixaban alone.20 However, the concomitant use of dronedarone with dabigatran or rivaroxaban was associated with increased gastrointestinal bleeding when compared to the NOAC alone. We could not determine if these observations could be made in our study since our study did not compare the concomitant use of AADs and NOACs vs. NOACs alone, and that our study did not evaluate gastrointestinal bleeding specifically. On the other hand, our study also showed that the use of dronedarone was not associated with difference in major bleeding events compared to the use of propafenone.

In this study, we found that the mean daily doses of dabigatran and rivaroxaban were 204.67–214.37 mg and 13.45–13.71 mg, respectively. These doses were lower than the ‘reduced dose’ recommended in the ESC guidelines 2020.1 The mean daily dose of edoxaban was 44.17–47.84 mg, which was in between the recommended standard and lower dose. In contrast, apixaban was used at a mean daily dose of 9.59–9.76 mg, which meant most prescriptions were given at the standard dose. Generally, physicians prefer to prescribe lower doses of anticoagulants for preventative purposes and for safety concerns. The J-ROCKET AF study found that the pharmacokinetic profile in Japanese patients treated with 15-mg rivaroxaban was similar to White patients treated with 20-mg rivaroxaban.21 The Asian subgroup analysis of RE-LY study found that low-dose dabigatran was associated with a reduced risk of major bleeding compared to warfarin.22 These studies may have prompted the use of lower-dose rivaroxaban or dabigatran in Asian patients. In contrast, the Asian subgroup analysis of ARISTOTLE study showed that standard-dose apixaban was associated with a significantly lower risk of major bleeding compared with warfarin.23 This study may have prompted the use of standard-dose apixaban in Taiwan. To date, there is no clinical trial or observational study that investigates systemically the use of different AADs concomitantly with the four NOACs available on market for their combined pharmacokinetics and pharmacodynamics performance. As such, there is limited clinical data supporting the recommendations given in the EHRA guidelines.10 As part of the holistic management of AF shifts from better symptom control to better rhythm management, patients with newly diagnosed AF are recommended to receive rhythm control earlier on, on top of anticoagulants and management of comorbidities.24 Our study showed that when used with NOACs, dronedarone was at least as effective and safe as non-dronedarone AADs in terms of AMI, IS/SE, and major bleeding, and was more effective than non-dronedarone AADs in reducing the risk of ICH, cardiovascular death, and all-cause mortality. Dronedarone has less adverse effects than amiodarone such as pulmonary fibrosis and thyroid dysfunction.25 There is a trend in favour of dronedarone when compared to propafenone in cardiovascular death, even though the difference is not significant. This may be explained by the favourable safety profile of dronedarone in patients with structural heart disease, in contrast to class 1c drugs which may lead to proarrhythmia in these patients.1 These reasons may contribute to the better outcomes in the use of dronedarone when compared with non-dronedarone AADs. Previous similar large studies lack information of NOAC doses, which may be imbalanced between groups. Therefore, it is difficult for physicians to make use of such studies when deciding the NOAC doses to be used with AAD. It is even more difficult for Asian patients who are more prone to bleeding risk than non-Asian patients with the use of anticoagulants.9 Our study revealed that the concomitant use of dronedarone with reduced doses of dabigatran, rivaroxaban or edoxaban, or standard dose of apixaban, was associated with cardiovascular benefits and no increased bleeding risk, when compared with non-dronedarone AADs. Therefore, our study provides data for physicians to consider when prescribing NOACs concomitantly with AADs, while taking in mind the limitations of this study.

Limitations

Our study has several limitations. First, patient screening using ICD-9-CM and ICD-10 codes may lead to missing cases when the conditions or diagnoses were not coded correctly. Second, in ICD-9-CM, atrial fibrillation was not coded in terms of paroxysmal, persistent, and permanent as in ICD-10. Nonetheless, it is assumed that physicians did not prescribe dronedarone for permanent AF. Third, the retrospective nature of the study made the causality of medications and outcome event not definitively established. Fourth, we did not compare the outcomes of patients treated with dronedarone directly with other individual AADs such as propafenone, flecainide, or sotalol. Fifth, multiplicity of P values was not accounted for. Sixth, this study was conducted in a homogenous ethnic background. Seventh, the timing of drug intake for dronedarone and NOACs is unknown, which may have affected the NOAC exposure according to a previous study.26 Eighth, the study could not capture residual confounders. An example is alcohol use, which is independently associated with bleeding. Ninth, the covariates used in propensity score matching do not contain information about the severity of diseases. For example, the New York Heart Association classification of HF is not known and may be imbalanced between groups.

Conclusions

The use of dronedarone with NOACs was associated with cardiovascular benefits in an Asian population with AF, compared with non-dronedarone AADs and amiodarone. The NOAC doses were similar between groups in both protocols and thus were likely not factors that drove the outcomes.

Supplementary Material

euad083_Supplementary_Data

Acknowledgements

The authors thank the statistical assistance and the support of the Maintenance Project of the Center for Big Data Analytics and Statistics at Chang Gung Memorial Hospital for study design and monitor, data analysis, and interpretation. This study is based in part on data from the NHIRD provided by the NHI Administration and managed by Health and Welfare Data Science Center, Ministry of Health and Welfare. However, the interpretation and conclusions contained herein do not represent the position of Chang Gung Memorial Hospital, NHI Administration and Ministry of Health and Welfare.

Contributor Information

Victor Chien-Chia Wu, Division of Cardiology, Chang Gung Memorial Hospital, Linkou Medical Center, No. 5 Fuxing Street, Guishan District, Taoyuan City 33305, Taiwan.

Chun-Li Wang, Division of Cardiology, Chang Gung Memorial Hospital, Linkou Medical Center, No. 5 Fuxing Street, Guishan District, Taoyuan City 33305, Taiwan.

Yu-Chang Huang, Division of Cardiology, Chang Gung Memorial Hospital, Linkou Medical Center, No. 5 Fuxing Street, Guishan District, Taoyuan City 33305, Taiwan.

Hui-Tzu Tu, Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Linkou Medical Center, No. 5 Fuxing Street, Guishan District, Taoyuan City 33305, Taiwan.

Yu-Tung Huang, Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Linkou Medical Center, No. 5 Fuxing Street, Guishan District, Taoyuan City 33305, Taiwan.

Chien-Hao Huang, Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan.

Shao-Wei Chen, Department of Cardiothoracic and Vascular Surgery, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan.

Chang-Fu Kuo, Division of Rheumatology, Allergy and Immunology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan; Division of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, Nottingham, UK.

Kuo-Chun Hung, Division of Cardiology, Chang Gung Memorial Hospital, Linkou Medical Center, No. 5 Fuxing Street, Guishan District, Taoyuan City 33305, Taiwan.

Shang-Hung Chang, Division of Cardiology, Chang Gung Memorial Hospital, Linkou Medical Center, No. 5 Fuxing Street, Guishan District, Taoyuan City 33305, Taiwan; Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Linkou Medical Center, No. 5 Fuxing Street, Guishan District, Taoyuan City 33305, Taiwan; Graduate Institute of Nursing, Chang Gung University of Science and Technology, Taoyuan City, Taiwan.

Supplementary material

Supplementary material is available at Europace online.

Funding

This investigator-sponsored study received funding from Sanofi. Victor Chien-Chia Wu, Chun-Li Wang, and Shang-Hung Chang received grants and support from Sanofi. The remaining authors have nothing to disclose.

Data Availability

The data is available to all under reasonable request.

Authors’ Contributions

Study conception and design: VCW, CLW, YCH.

Acquisition of data: HTT, YTH.

Analysis and interpretation of data: VCW, HTT, CHH, SWC, CFK, KCH.

Drafting of manuscript: VCW, CLW.

Critical revision: YTH, SHC.

References

  • 1. Hindricks G, Potpara T, Dagres N, Arbelo E, Bax JJ, Blomström-Lundqvist C, 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;42:373–498. [DOI] [PubMed] [Google Scholar]
  • 2. Boriani G, Blomström-Lundqvist C, Hohnloser SH, Bergfeldt L, Botto GL, Capucci A, et al. Safety and efficacy of dronedarone from clinical trials to real-world evidence: implications for its use in atrial fibrillation. Europace 2019;21:1764–75. [DOI] [PubMed] [Google Scholar]
  • 3. Hohnloser SH, Crijns HJ, van Eickels M, Gaudin C, Page RL, Torp-Pedersen C, et al. Effect of dronedarone on cardiovascular events in atrial fibrillation. N Engl J Med 2009;360:668–78. [DOI] [PubMed] [Google Scholar]
  • 4. Singh BN, Connolly SJ, Crijns HJ, Roy D, Kowey PR, Capucci A, et al. Dronedarone for maintenance of sinus rhythm in atrial fibrillation or flutter. N Engl J Med 2007;357:987–99. [DOI] [PubMed] [Google Scholar]
  • 5. Kober L, Torp-Pedersen C, McMurray JJ, Gøtzsche O, Lévy S, Crijns H, et al. Increased mortality after dronedarone therapy for severe heart failure. N Engl J Med 2008;358:2678–87. [DOI] [PubMed] [Google Scholar]
  • 6. Connolly SJ, Camm AJ, Halperin JL, Joyner C, Alings M, Amerena J, et al. Dronedarone in high-risk permanent atrial fibrillation. N Engl J Med 2011;365:2268–76. [DOI] [PubMed] [Google Scholar]
  • 7. Chao TF, Joung B, Takahashi Y, Lim TW, Choi EK, Chan YH, et al. 2021 Focused update consensus guidelines of the Asia pacific heart rhythm society on stroke prevention in atrial fibrillation: executive summary. Thromb Haemost 2022;122:20–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Shen AY, Yao JF, Brar SS, Jorgensen MB, Chen W. Racial/ethnic differences in the risk of intracranial hemorrhage among patients with atrial fibrillation. J Am Coll Cardiol 2007;50:309–15. [DOI] [PubMed] [Google Scholar]
  • 9. Gorog DA, Gue YX, Chao TF, Fauchier L, Ferreiro JL, Huber K, et al. Assessment and mitigation of bleeding risk in atrial fibrillation and venous thromboembolism: executive summary of a European and Asia-pacific expert consensus paper. Thromb Haemost 2022;122:1625–52. [DOI] [PubMed] [Google Scholar]
  • 10. Steffel J, Collins R, Antz M, Cornu P, Desteghe L, Haeusler KG, et al. 2021 European heart rhythm association practical guide on the use of non-vitamin K antagonist oral anticoagulants in patients with atrial fibrillation. Europace 2021;23:1612–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Kirchhof P, Camm AJ, Goette A, Brandes A, Eckardt L, Elvan A, et al. Early rhythm-control therapy in patients with atrial fibrillation. N Engl J Med 2020;383:1305–16. [DOI] [PubMed] [Google Scholar]
  • 12. Metzner A, Suling A, Brandes A, Breithardt G, Camm AJ, Crijns HJ, et al. Anticoagulation, therapy of concomitant conditions, and early rhythm control therapy: a detailed analysis of treatment patterns in the EAST—AFNET 4 trial. Europace 2022;24:552–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Friberg L. Ventricular arrhythmia and death among atrial fibrillation patients using anti-arrhythmic drugs. Am Heart J 2018;205:118–27. [DOI] [PubMed] [Google Scholar]
  • 14. Ehrlich JR, Look C, Kostev K, Israel CW, Goette A. Impact of dronedarone on the risk of myocardial infarction and stroke in atrial fibrillation patients followed in general practices in Germany. Int J Cardiol 2019;278:126–32. [DOI] [PubMed] [Google Scholar]
  • 15. Gao S, Dai W, Zhang L, Juhaeri J, Wang Y, Caubel P. Risk of cardiovascular events, stroke, congestive heart failure, interstitial lung disease, and acute liver injury: dronedarone versus amiodarone and other antiarrhythmics. J Atr Fibrillation 2013;6:890. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Chun KJ, Byeon K, Im SI, Park KM, Park SJ, Kim JS, et al. Efficacy of dronedarone versus propafenone in the maintenance of sinus rhythm in patients with atrial fibrillation after electrical cardioversion. Clin Ther 2014;36:1169–75. [DOI] [PubMed] [Google Scholar]
  • 17. Gwag HB, Chun KJ, Hwang JK, Park SJ, Kim JS, Park KM, et al. Which antiarrhythmic drug to choose after electrical cardioversion: A study on non-valvular atrial fibrillation patients. PLoS One 2018;13:e0197352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Chiou WR, Huang CC, Lin PL, Chuang JY, Liu LY, Su MI, et al. Safety and effectiveness of rivaroxaban in combination with Various antiarrhythmic drugs in patients with non-permanent atrial fibrillation. Am J Cardiovasc Drugs 2021;21:459–69. [DOI] [PubMed] [Google Scholar]
  • 19. Chang SH, Chou IJ, Yeh YH, Chiou MJ, Wen MS, Kuo CT, et al. Association between use of non-vitamin K oral anticoagulants with and without concurrent medications and risk of Major bleeding in nonvalvular atrial fibrillation. JAMA 2017;318:1250–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Gandhi SK, Reiffel JA, Boiron R, Wieloch M. Risk of Major bleeding in patients with atrial fibrillation taking dronedarone in combination with a direct acting oral anticoagulant (from a U.S. Claims database). Am J Cardiol 2021;159:79–86. [DOI] [PubMed] [Google Scholar]
  • 21. Hori M, Matsumoto M, Tanahashi N, Momomura S, Uchiyama S, Goto S, et al. Rivaroxaban vs. Warfarin in Japanese patients with atrial fibrillation—the J-ROCKET AF study. Circ J 2012;76:2104–11. [DOI] [PubMed] [Google Scholar]
  • 22. Hori M, Connolly SJ, Zhu J, Liu LS, Lau CP, Pais P, et al. Dabigatran versus warfarin: effects on ischemic and hemorrhagic strokes and bleeding in Asians and non-Asians with atrial fibrillation. Stroke 2013;44:1891–6. [DOI] [PubMed] [Google Scholar]
  • 23. Goto S, Zhu J, Liu L, Oh BH, Wojdyla DM, Aylward P, et al. Efficacy and safety of apixaban compared with warfarin for stroke prevention in patients with atrial fibrillation from East Asia: a subanalysis of the apixaban for reduction in stroke and other thromboembolic events in atrial fibrillation (ARISTOTLE) trial. Am Heart J 2014;168:303–9. [DOI] [PubMed] [Google Scholar]
  • 24. Schnabel RB, Marinelli EA, Arbelo E, Boriani G, Boveda S, Buckleyet CM, et al. Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference. Europace 2022;25:6–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Santangeli P, Di Biase L, Pelargonio G, Burkhardt JD, Natale A. The pharmaceutical pipeline for atrial fibrillation. Ann Med 2011;43:13–32. [DOI] [PubMed] [Google Scholar]
  • 26. Drug interaction study with dabigatran etexilate and dronedarone in healthy subjects. ClinicalTrials.govIdentifier: NCT01306162https://clinicaltrials.gov/ct2/show/results/NCT01306162. Accessed March 31 2022.

Associated Data

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

Supplementary Materials

euad083_Supplementary_Data

Data Availability Statement

The data is available to all under reasonable request.


Articles from Europace are provided here courtesy of Oxford University Press

RESOURCES