Literature DB >> 32341789

Safety and effectiveness of non-vitamin K oral anticoagulants versus warfarin in real-world patients with non-valvular atrial fibrillation: a retrospective analysis of contemporary Japanese administrative claims data.

Shun Kohsaka1, Jun Katada2, Kumiko Saito3, Aaron Jenkins4, Benjamin Li5, Jack Mardekian5, Yasuo Terayama6.   

Abstract

Objective: To assess the safety (ie, risk of bleeding) and effectiveness (ie, risk of stroke/systemic embolism (SE)) separately for four non-vitamin K oral anticoagulants (NOACs; apixaban, dabigatran, edoxaban and rivaroxaban) versus warfarin in Japanese patients with non-valvular atrial fibrillation (NVAF), including those at high risk of bleeding and treated with reduced doses of NOACs.
Methods: We conducted a retrospective analysis of electronic health records and claims data from 372 acute care hospitals in Japan for patients with NVAF newly initiated on NOACs or warfarin. Baseline characteristics were balanced using inverse probability of treatment weighting with stabilised weights (s-IPTW). Bleeding risk and stroke/SE risk were expressed as HRs with 95% CIs. Two sensitivity analyses were conducted.
Results: A total of 73 989 patients were eligible for analysis. Notably, 52.8%-81.9% of patients received reduced doses of NOACs. After applying s-IPTW, patient characteristics were well balanced across warfarin/NOAC cohorts. The mean within-cohort age, CHADS2 score and CHA2DS2-VASc score were 76 years, 2.2-2.3 and 3.8, respectively. In all age categories, the majority of the HRs for major bleeding, any bleeding and stroke/SE were equal to or below 1 for all NOACs versus warfarin. Apixaban was the only NOAC associated with a significantly lower risk of any bleeding. There was a trend towards increased risk reduction with NOACs versus warfarin in patients with body weight ≥60 kg. In patients with renal disease, the HRs for apixaban versus warfarin were below 1 for major bleeding, any bleeding and stroke/SE, with statistical significance observed for the risk reduction in stroke/SE versus warfarin. In the sensitivity analysis, there were no large differences in HRs between the two observational periods. Conclusions: In patients with NVAF primarily treated with reduced-dose NOACs, the risks of stroke/SE and major bleeding were significantly lower with NOACs versus warfarin. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  NVAF; bleeding; direct oral anticoagulant; stroke; warfarin

Mesh:

Substances:

Year:  2020        PMID: 32341789      PMCID: PMC7174060          DOI: 10.1136/openhrt-2019-001232

Source DB:  PubMed          Journal:  Open Heart        ISSN: 2053-3624


For the prevention of stroke and systemic embolism (SE) in patients with non-valvular atrial fibrillation (NVAF), clinical guidelines recommend treatment with non-vitamin K oral anticoagulants (NOACs) rather than warfarin. However, the effectiveness and safety of NOACs in Japanese clinical practice remain to be fully elucidated, particularly in patients with high-risk profiles compared with those enrolled in clinical trials. This study found that the majority of patients with NVAF treated in Japanese clinical practice received reduced doses of NOACs—a treatment pattern likely underpinned by bleeding-related concerns. Despite the dose reduction, the risks of stroke/SE, major bleeding and major intracranial haemorrhage were significantly lower for NOACs versus warfarin in Japanese patients with NVAF. These findings provide important real-world evidence describing treatment patterns and clinical outcomes for elderly patients with NVAF treated in Japanese clinical practice. They indicate that NOAC treatment was associated with clinical benefits versus warfarin, even in a population primarily treated with reduced doses.

Introduction

Atrial fibrillation (AF) is the most common arrhythmia and is observed in <1% of the total population in Japan.1 The prevalence of AF increases with age, rising to approximately 14% in patients aged >80 years.1 2 AF is a well-established risk factor for stroke, systemic embolism (SE) and death.3 4 Recent guidelines recommend treatment with non-vitamin K oral anticoagulants (NOACs) (ie, apixaban, dabigatran, edoxaban and rivaroxaban) for eligible oral anticoagulant (OAC)-naïve patients with non-valvular atrial fibrillation (NVAF).2 5 Multiple randomised controlled trials (RCTs) have supported the benefits of NOACs versus warfarin in patients with NVAF,6–9 with a meta-analysis confirming that NOACs significantly lower the risk of stroke/SE with a risk of major bleeding similar to that associated with warfarin.10 While RCTs are the gold standard for demonstrating the effectiveness of interventions, they are not fully representative of an unselected real-world population, thereby limiting the relevance of their findings to clinical practice. Consequently, a number of observational, real-world evidence studies have emerged to provide supportive evidence of the safety and/or effectiveness of NOACs in clinical practice.11–18 However, there remain several unmet knowledge gaps in the literature regarding the clinical outcomes of NOAC treatment in patients with NVAF, particularly in patient subgroups at high risk of adverse outcomes.19 20 All four NOACs (apixaban, dabigatran, edoxaban and rivaroxaban) have been approved in Japan for the prevention of stroke and SE in patients with NVAF.21 Importantly, dosing of NOACs in Japan differs slightly from that in other countries given the higher bleeding complication rates reported in East Asian patients; for example, the approved dose of rivaroxaban is 10/15 mg daily in Japan.21 Given the unique setting surrounding the use of NOACs, and considering they are often initiated at reduced doses, the impact of NOACs on safety (ie, the risk of bleeding) and effectiveness (ie, the risk of stroke or SE) outcomes in Japanese patients with NVAF requires further elucidation.

Methods

Study design

This was a non-interventional, retrospective, observational study conducted from March 2011 (ie, when the first NOAC, dabigatran, was approved in Japan) to July 2018 to evaluate the safety and effectiveness of apixaban, dabigatran, edoxaban and rivaroxaban, each separately, versus warfarin in Japanese patients with NVAF. Written consent from study participants was not necessary in a retrospective study using an existing structured database according to the Japanese Ethical Guidelines. All data were anonymised, and any information that could be used to identify individuals or hospitals was removed. We used deidentified health claims data from 372 acute care hospitals across Japan available from the Medical Data Vision Co Ltd (MDV; Tokyo, Japan) database.22 In brief, the MDV database comprises administrative data for approximately 24 million individuals in the inpatient and outpatient settings.22 Each patient is assigned a specific ID to which all inpatient and outpatient data are linked. The distribution of demographic characteristics, including age and sex, of patients registered in the MDV database is very similar to the national population statistics in Japan. For each prescription recorded in the MDV database, the diagnosis is listed according to 10th Revision of the International Classification of Diseases (ICD-10) codes or local disease codes. Patients registered in the MDV database between 1 March 2011 and 31 July 2018 were selected based on the following inclusion criteria: diagnosis of AF at any time during the preindex period and first prescription of any OAC (apixaban, dabigatran, edoxaban, rivaroxaban or warfarin) after a diagnosis of AF; age 18 years or older on the index date (defined as the date of the first prescription of any OAC); and no OAC prescription during the year preceding the index date (baseline period). The first OAC prescription recorded in the database was used to identify the patient’s index date, treatment cohort and OAC dose. Patients with a diagnosis of valvular AF, postoperative AF, AF associated with mechanical valve malfunction, AF associated with mechanical complication of heart valve prosthesis or rheumatic AF during the baseline period were excluded. Additionally, patients with a diagnosis of hyperthyroidism or thyrotoxicosis, those who underwent procedures involving prosthetic heart valves performed during the baseline period and those with haemodialysis or pregnancy during the baseline period were also excluded. Patients were followed from the index date until any of the following events, whichever occurred first: discontinuation of the index OAC, defined as a continuous gap of 45 days or more between the expected refill date and the actual refill date; switch to another OAC—if the index OAC was discontinued and another OAC was started within 45 days of the prescription refill date of the index OAC; lack of further records in the database—if no further relevant records were added (eg, no further refills or visits), the last date of the patient’s record in the database was used; occurrence of stroke, SE or haemorrhagic adverse events; or an elapse of 2 years from the index date.

Endpoints

Individual NOACs and warfarin were compared with respect to the incidence of stroke/SE and bleeding in cohorts after inverse probability of treatment weighting with stabilised weights (s-IPTW) was applied. The safety endpoints were major bleeding and any bleeding, defined as bleeding requiring hospitalisation (major bleeding) and any bleeding event recorded after the index date regardless of severity or need for hospitalisation (any bleeding). Bleeding sites were not considered in the primary analysis. The effectiveness primary endpoint was a composite of stroke and SE requiring hospitalisation. Stroke was defined as ischaemic or haemorrhagic stroke. Haemorrhagic stroke was included both as a safety endpoint and as an effectiveness endpoint. For the secondary analyses, major gastrointestinal (GI) bleeding, any GI bleeding, major intracranial haemorrhage (ICH) and any ICH were the safety-related secondary endpoints. Ischaemic stroke, haemorrhagic stroke and SE were the effectiveness-related secondary endpoints. The primary safety and effectiveness endpoints were also assessed in the following prespecified subgroups: age (≥75 years/<75 years or ≥80 years/<80 years), body weight (≥60 kg/<60 kg), renal disease (yes/no), concomitant use of antiplatelet drugs (yes/no) and NOAC dose (standard/reduced). Similar to the primary analyses, s-IPTW was applied to balance patient characteristics among these subgroups. The ICD-10 codes and disease codes used in the study are listed in online supplementary tables 1 and 2.

Statistics

All analyses were conducted with SAS V.9.4. A propensity score was calculated based on multinomial logistic regression in order to account for confounding effects and to ensure that patient characteristics were balanced between the NOAC and warfarin cohorts. An IPTW method using the calculated propensity score was applied, and to avoid sample size inflation and ensure appropriate estimation of variances, s-IPTW was used.23 24 Weight truncation was not conducted. The following clinical and demographic characteristics, collected during the baseline period or at the index date, were included as covariates to calculate the propensity score: sex and age, comorbidities (ie, heart failure, coronary heart disease, peripheral vascular disorder, myocardial infarction, stroke, transient ischaemic attack, SE, renal dysfunction, hepatic dysfunction, bleeding history, hypertension and diabetes mellitus), concomitant medications (ie, antiplatelet drugs, nonsteroidal anti-inflammatory drugs, gastric secretion inhibitors, statins, heparins and antihypertensive drugs) and presence of cardioversion and ablation procedures. CHADS2 and CHA2DS2-VASc scores were calculated using these clinical and demographic characteristics.25 26 The calculated s-IPTW was simultaneously applied to the five crude OAC cohorts to obtain four paired NOAC/warfarin cohorts, wherein demographic and clinical characteristics of each OAC cohort were balanced. The covariate balance between the NOAC/warfarin cohorts after s-IPTW was assessed with respect to standardised differences using a threshold of 0.1; previous studies have suggested that a standardised difference of >0.1 may indicate the presence of a meaningful imbalance of covariates between paired treatments.27–29 The 2-year cumulative incidence rates of major bleeding, any bleeding and stroke/SE in the cohorts after s-IPTW were plotted with Kaplan-Meier curves. HRs with 95% CIs were calculated using a Cox proportional hazards regression model that incorporated only the index OACs as independent variables.

Sensitivity analyses

Two sensitivity analyses were conducted. First, a sensitivity analysis was performed by restricting the follow-up period to 1 year, and differences in the results versus the 2-year follow-up period were compared. Second, a conventional 1:1 propensity score matching method was used to assess the robustness of the method used for addressing the covariate imbalance between cohorts. As in the main analysis, a threshold of 0.1 was used for confirming covariate balance between the two groups, and HRs with 95% CIs were calculated using a Cox proportional hazards model.

Results

Baseline characteristics in the crude cohorts before s-IPTW

Overall, 73 989 patients were eligible for the analysis after applying the selection criteria (figure 1). Patients were divided into five cohorts: 15 902 patients initiated warfarin; 22 336 patients initiated apixaban 2.5 mg or 5 mg twice daily; 6925 patients initiated dabigatran 110 mg or 150 mg twice daily; 12 262 patients initiated edoxaban 30 mg or 60 mg once daily; and 16 564 patients initiated rivaroxaban 10 mg or 15 mg once daily (figure 1). Baseline characteristics in the crude cohorts before s-IPTW are reported in online supplementary table S3. The mean (SD) duration of treatment ranged from 265 (263.8) to 868 (725) days. Apixaban was the most frequently prescribed NOAC, and 47.2%–76.2% of patients were initiated on reduced doses of NOACs. The warfarin cohort contained the oldest patients, with the highest mean CHADS2 and CHA2DS2-VASc scores and the most comorbidities, and patients in the apixaban cohort tended to be older with higher mean risk scores (online supplementary table S3).
Figure 1

Flow chart of patient allocation to each OAC cohort. AF, atrial fibrillation; MDV, Medical Data Vision Co Ltd; OAC, oral anticoagulant.

Flow chart of patient allocation to each OAC cohort. AF, atrial fibrillation; MDV, Medical Data Vision Co Ltd; OAC, oral anticoagulant.

Incidence of bleeding and stroke/SE in the crude cohorts before s-IPTW

Between-cohort differences in event rates (per 100 person-years) reflected differences in baseline patient risk characteristics (online supplementary table S3). The event rates of major bleeding, any bleeding and stroke/SE were highest in the warfarin cohort; the event rates of major bleeding and any bleeding were lowest in the dabigatran cohort, and the event rate of stroke/SE was lowest in the rivaroxaban cohort (online supplementary table S4).

Patient characteristics in the cohorts after s-IPTW

The standardised differences between the s-IPTW-balanced cohorts in patient characteristics used for calculating the propensity score were <0.1, suggesting that patient characteristics were well balanced between the cohorts (table 1). For patients treated with dabigatran, the age, CHADS2 and CHA2DS2-VASc scores and proportion of patients with comorbidities were slightly higher than those in the crude cohort. The proportion of patients treated with reduced doses of NOACs remained high (52.8%–81.9%; table 1).
Table 1

Demographics and clinical characteristics of patients with 365-day baseline after s-IPTW

VariablesWarfarinn=19 059Apixaban5/2.5 mg twice dailyn=22 752Dabigatran150/110 mg twice dailyn=8003Edoxaban60/30 mg once dailyn=12 592Rivaroxaban15/10 mg once dailyn=17 481
N (%)N (%)Std. diff.*N (%)Std. diff.*N (%)Std. diff.*N (%)Std. diff.*
Sex category (male)†11 656 (61.2)13 912 (61.2)−0.00024963 (62.0)0.01767691 (61.1)−0.001810 672 (61.1)−0.0022
Age, years
 Mean±SD†76.1±11.976.1±10.8−0.001675.6±10.3−0.046476.2±10.80.004876.2±10.60.0074
 <652542 (13.3)2829 (12.4)−0.0270954 (11.9)−0.04281586 (12.6)−0.02222119 (12.1)−0.0365
 65–744707 (24.7)5984 (26.3)0.03682330 (29.1)0.09963249 (25.8)0.02544679 (26.8)0.0473
 ≥7511 809 (62.0)13 939 (61.3)−0.01444719 (59.0)−0.06127757 (61.6)−0.007410 683 (61.1)−0.0175
BMI, kg/m2
 <181170 (6.1)1048 (4.6)−0.0679286 (3.6)−0.1193614 (4.9)−0.0553878 (5.0)−0.0486
 18 to <223925 (20.6)3555 (15.6)−0.12931123 (14.0)−0.17411858 (14.8)−0.15362587 (14.8)−0.1524
 22 to <253541 (18.6)3123 (13.7)−0.13221185 (14.8)−0.10121572 (12.5)−0.16902356 (13.5)−0.1394
 ≥253193 (16.8)2671 (11.7)−0.14381024 (12.8)−0.11171320 (10.5)−0.18372181 (12.5)−0.1213
 Missing7230 (37.9)12 354 (54.3)0.33284384 (54.8)0.34287229 (57.4)0.39759479 (54.2)0.3313
Dose group
 Reduced12 539 (55.1)NA6557 (81.9)NA9376 (74.5)N/A9221 (52.8)N/A
 Standard10 213 (44.9)NA1445 (18.1)NA3216 (25.5)N/A8260 (47.3)N/A
CHADS2
 Mean±SD2.3±1.62.3±1.5−0.02162.2±1.6−0.04662.3±1.6−0.01762.3±1.5−0.0211
 02003 (10.5)2914 (12.8)0.07151007 (12.6)0.06501648 (13.1)0.08002107 (12.1)0.0487
 14517 (23.7)5246 (23.1)−0.01521861 (23.3)−0.01052889 (22.9)−0.01804089 (23.4)−0.0073
 24511 (23.7)4863 (21.4)−0.05501858 (23.2)−0.01062669 (21.2)−0.05943881 (22.2)−0.0349
 ≥38028 (42.1)9730 (42.8)0.01303276 (40.9)−0.02405387 (42.8)0.01337404 (42.4)0.0047
CHA2DS2-VASc
 Mean±SD3.8±2.13.8±1.9−0.01463.8±2.0−0.03463.8±2.0−0.01243.8±1.9−0.0127
 0574 (3.0)783 (3.4)0.0241236 (3.0)−0.0037455 (3.6)0.0335520 (3.0)−0.0023
 11408 (7.4)1732 (7.6)0.0085656 (8.2)0.03021017 (8.1)0.02591328 (7.6)0.0079
 22783 (14.6)3578 (15.7)0.03121239 (15.5)0.02461965 (15.6)0.02802732 (15.6)0.0286
 ≥314 293 (75.0)16 660 (73.2)−0.04045871 (73.4)−0.03729155 (72.7)−0.052212 901 (73.8)−0.0273
PT-INR‡ (mean±SD)1.60±0.74
Heart failure†7156 (37.5)8442 (37.1)−0.00912944 (36.8)−0.01584679 (37.2)−0.00806480 (37.1)−0.0098
Coronary heart disease†4873 (25.6)5808 (25.5)−0.00092041 (25.5)−0.00153198 (25.4)−0.00404407 (25.2)−0.0082
Peripheral arterial disorder†1447 (7.6)1710 (7.5)−0.0028606 (7.6)−0.0007940 (7.5)−0.00471312 (7.5)−0.0033
Myocardial infarction†570 (3.0)676 (3.0)−0.0013238 (3.0)−0.0013370 (2.9)−0.0033516 (3.0)−0.0024
Hyperthyroidism or thyrotoxicosis434 (2.3)477 (2.1)−0.0121172 (2.1)−0.0089264 (2.1)−0.0120362 (2.1)−0.0139
Stroke, TIA or SE†4086 (21.4)4756 (20.9)−0.01311624 (20.3)−0.02802641 (21.0)−0.01133696 (21.2)−0.0071
Renal dysfunction†1326 (7.0)1554 (6.8)−0.0051560 (7.0)0.0014864 (6.9)−0.00391224 (7.0)0.0017
Liver dysfunction†2454 (12.9)2857 (12.6)−0.00961034 (12.9)0.00131583 (12.6)−0.00922184 (12.5)−0.0116
Bleeding diagnosis†2322 (12.2)2754 (12.1)−0.00251002 (12.5)0.01011530 (12.2)−0.00112136 (12.2)0.0010
Hypertension†10 650 (55.9)12 527 (55.1)−0.01654377 (54.7)−0.02386945 (55.2)−0.01479602 (54.9)−0.0191
Diabetes mellitus†5791 (30.4)6833 (30.0)−0.00772414 (30.2)−0.00493778 (30.0)−0.00855236 (30.0)−0.0095
Cancer4201 (22.0)5252 (23.1)0.02491872 (23.4)0.03232969 (23.6)0.03673925 (22.5)0.0099
Treated with antiplatelet drugs†4459 (23.4)5181 (22.8)−0.01491781 (22.3)−0.02722870 (22.8)−0.01453960 (22.7)−0.0177
Treated with NSAIDs†5947 (31.2)6993 (30.7)−0.01022474 (30.9)−0.00623894 (30.9)−0.00615401 (30.9)−0.0067
Treated with gastric secretion inhibitor†7736 (40.6)9113 (40.1)−0.01103180 (39.7)−0.01755045 (40.1)−0.01087022 (40.2)−0.0086
Treated with statin-based drug†2677 (14.0)3200 (14.1)0.00061084 (13.5)−0.01461765 (14.0)−0.00082410 (13.8)−0.0074
Treated with antiarrhythmics8481 (44.5)9968 (43.8)−0.01383512 (43.9)−0.01255529 (43.9)−0.01207677 (43.9)−0.0117
Treated with beta-blockers3972 (20.8)4651 (20.4)−0.00991613 (20.2)−0.01692569 (20.4)−0.01103526 (20.2)−0.0167
Treated with heparin†3905 (20.5)4552 (20.0)−0.01211625 (20.3)−0.00482520 (20.0)−0.01193555 (20.3)−0.0039
Cardioversion†142 (0.7)162 (0.7)−0.003867 (0.8)0.010191 (0.7)−0.0030122 (0.7)−0.0052
Therapy days (mean±SD)451.5±632.9395.9±412.1−0.1041823.4±765.10.5296263.0±266.7−0.3882415.4±471.2−0.0647

*Calculated when compared with the warfarin cohort.

†Variables included in the calculation of propensity score.

‡The Japanese treatment guidelines recommend target INR ranges of 2.0–3.0 for patients aged less than 70 years and 1.6–2.6 for patients aged 70 years or older.

BMI, body mass index; NSAID, non-steroidal anti-inflammatory drug; PT-INR, prothrombin time–international normalised ratio; SE, systemic embolism; s-IPTW, inverse probability of treatment weighting with stabilised weights; TIA, transient ischaemic attack.

Demographics and clinical characteristics of patients with 365-day baseline after s-IPTW *Calculated when compared with the warfarin cohort. †Variables included in the calculation of propensity score. ‡The Japanese treatment guidelines recommend target INR ranges of 2.0–3.0 for patients aged less than 70 years and 1.6–2.6 for patients aged 70 years or older. BMI, body mass index; NSAID, non-steroidal anti-inflammatory drug; PT-INR, prothrombin time–international normalised ratio; SE, systemic embolism; s-IPTW, inverse probability of treatment weighting with stabilised weights; TIA, transient ischaemic attack.

Bleeding and stroke/SE risk in the cohorts after s-IPTW

Unweighted Kaplan-Meier cumulative incidence plots of any bleeding, major bleeding and stroke/SE events are presented in figure 2. Compared with warfarin, all NOACs were associated with a significantly lower risk of stroke/SE and major bleeding (figure 3). Apixaban was associated with a significantly lower risk of any bleeding, and dabigatran and rivaroxaban had HRs below 1; however, statistical significance was not achieved (figure 3).
Figure 2

Kaplan-Meier curves for incidence of (A) any bleeding, (B) major bleeding and (C) stroke/SE. SE, systemic embolism.

Figure 3

Forest plot depicting the risk of events for NOACs versus warfarin. HRs and 95% CIs are given for each NOAC. NOAC, non-vitamin K oral anticoagulant; SE, systemic embolism.

Kaplan-Meier curves for incidence of (A) any bleeding, (B) major bleeding and (C) stroke/SE. SE, systemic embolism. Forest plot depicting the risk of events for NOACs versus warfarin. HRs and 95% CIs are given for each NOAC. NOAC, non-vitamin K oral anticoagulant; SE, systemic embolism.

Secondary safety and effectiveness endpoints

A significantly lower risk of major ICH was observed for all NOACs versus warfarin, and dabigatran and rivaroxaban were associated with a significantly lower risk of any ICH (table 2). Apixaban was associated with a significantly lower risk of major GI bleeding, and apixaban and rivaroxaban were associated with a significantly lower risk of any GI bleeding (table 2). Compared with warfarin, all of apixaban, edoxaban and rivaroxaban were associated with a significantly lower risk of ischaemic stroke, while dabigatran and rivaroxaban were associated with a significantly lower risk of haemorrhagic stroke. All NOACs had HRs below 1 for SE; however, statistical significance was not achieved (table 2).
Table 2

HRs with 95% CIs for secondary endpoints

N (NOAC/warfarin)Apixaban5/2.5 mg twice daily over warfarinDabigatran 150/110 mg twice daily over warfarinEdoxaban60/30 mg once daily over warfarinRivaroxaban 15/10 mg once daily over warfarin
22 752/19 0598 003/19 05912 592/19 05917 481/19 059
Ischaemic strokeHR0.630.900.740.74
95% CI(0.524 to 0.759)(0.716 to 1.140)(0.586 to 0.925)(0.607 to 0.909)
P value<0.00010.39060.00870.0039
Haemorrhagic strokeHR0.750.410.730.63
95% CI(0.545 to 1.029)(0.244 to 0.703)(0.479 to 1.102)(0.432 to 0.922)
P value0.07430.00110.13320.0175
Systemic embolismHR0.480.970.460.50
95% CI(0.198 to 1.165)(0.316 to 2.959)(0.145 to 1.487)(0.183 to 1.349)
P value0.10500.95190.19660.1701
Major GI bleedingHR0.760.920.830.92
95% CI(0.579 to 0.987)(0.655 to 1.286)(0.602 to 1.158)(0.693 to 1.213)
P value0.03940.61750.27980.5425
Any GI bleedingHR0.871.040.990.87
95% CI(0.779 to 0.970)(0.901 to 1.203)(0.871 to 1.125)(0.768 to 0.976)
P value0.01210.58700.88120.0186
Major intracranial haemorrhageHR0.580.420.600.52
95% CI(0.452 to 0.757)(0.283 to 0.637)(0.427 to 0.836)(0.379 to 0.702)
P value<0.0001<0.00010.0026<0.0001
Any intracranial haemorrhageHR0.890.790.920.81
95% CI(0.781 to 1.010)(0.658 to 0.946)(0.789 to 1.076)(0.701 to 0.936)
P value0.07150.01040.30140.0044

GI, gastrointestinal; NOAC, non-vitamin K oral anticoagulant.

HRs with 95% CIs for secondary endpoints GI, gastrointestinal; NOAC, non-vitamin K oral anticoagulant.

Subgroup analyses in patients with high-risk profiles

Online supplementary table S5 reports the results of the subgroup analysis in high-risk patients. Across age categories, the majority of the HRs for major bleeding, any bleeding and stroke/SE were equal to or below 1 for all NOACs versus warfarin, although not all were statistically significant. In the very elderly age group (≥80 years), apixaban, edoxaban and rivaroxaban were associated with a significantly lower risk of major bleeding and stroke/SE (online supplementary table S5). In patients with body weight <60 kg, apixaban was associated with a significantly lower risk of stroke/SE, and there was a trend towards risk reduction for major bleeding and any bleeding with NOACs versus warfarin in patients with body weight ≥60 kg. In patients with renal disease, the HRs for apixaban alone (vs warfarin) were below 1 for major bleeding, any bleeding and stroke/SE, with statistical significance observed for the risk reduction in stroke/SE versus warfarin (online supplementary table S5). When stratified by initial dose (ie, standard vs reduced), the risk of any bleeding was significantly higher with the standard dose of edoxaban, and the risk of stroke/SE was significantly lower with a reduced dose of apixaban versus warfarin (online supplementary table S5).

Sensitivity analysis

There were no large differences in HRs between the two different observational periods (1 year and 2 years), although statistical significance was not always obtained for the HRs in the 1-year observation period owing to the small number of events (online supplementary table S6). Results of the second sensitivity analysis were also largely consistent with the main results (online supplementary table S7).

Discussion

In this large, real-world, observational study, we evaluated the effectiveness and safety of four NOACs currently approved for stroke/SE prevention versus warfarin in Japanese patients with NVAF. The primary results indicated that all NOACs were associated with a significantly lower risk of major bleeding and stroke/SE compared with warfarin. Notable results from the secondary analyses were a significantly lower risk of major ICH for all NOACs, and reductions in the risk of any and major GI bleeding with apixaban, versus warfarin. Broadly, these real-world results provide supportive evidence for the existing RCTs that have demonstrated the clinical benefits of NOACs versus warfarin in patients with NVAF.6–10 Moreover, the current study builds on the emerging, real-world evidence base for the effectiveness and safety of NOACs in Japanese clinical practice.15–18 30 Reduced dosing of NOACs is a pertinent clinical concern as it may impact the safety and/or effectiveness of treatment.18 31 32 In the current study, risks for bleeding and stroke/SE were generally consistent between the standard-dose and reduced-dose NOAC subgroups, and we observed a significantly lower risk of stroke/SE with reduced-dose apixaban versus warfarin. Thus, the current results differ from recent real-world study results, in which reduced-dose NOAC treatment was associated with increased rates of thromboembolic and major haemorrhagic events, along with stroke/SE and myocardial infarction, in Japanese patients with NVAF.18 32 Of note, the proportions of patients initiated on reduced doses of NOACs were higher than those reported in studies conducted in the USA,33–35 Korea and Taiwan36–39 and in real-world studies in Japan.17 18 40 It is likely that the high rates of dose reduction observed in the current study were primarily attributable to the risk characteristics of the patient sample. For instance, in a recent cross-sectional analysis of a multicentre outpatient registry in Japan, the independent predictors of NOAC underdosing in newly diagnosed patients with NVAF were older age, concomitant antiplatelet therapy, impaired renal function and prior heart failure or left ventricular dysfunction.40 Appropriate use of NOACs in patients with NVAF and comorbid renal disease remains the subject of ongoing investigation,41–45 and worsening of renal function in patients with AF is independently associated with ischaemic stroke and haemorrhage.43 NOAC-specific differences in renal excretion rates have been observed,44 45 with dabigatran and edoxaban having the greatest dependence on renal elimination compared with apixaban and rivaroxaban.45 A recent meta-analysis of RCTs and observational studies in patients with renal disease reported that NOACs significantly lowered the risk of ICH, stroke/SE and major bleeding versus warfarin.42 In the current study, apixaban was the only NOAC with a significantly lower risk of stroke/SE, whereas the risk of stroke/SE was significantly higher for rivaroxaban versus warfarin in patients with NVAF and comorbid renal disease. However, owing to the relatively small number of patients with renal disease, along with the observational design of the study, firm conclusions regarding the safety and effectiveness of NOACs in Japanese patients with NVAF and comorbid renal disease should not be made on the basis of these results. Strengths of the current study’s design and results include the MDV database being representative of the Japanese population, the high mean age of the patients (ie, most were very elderly), the large sample size and the inclusion of all four approved NOACs in the analyses. Additionally, a majority of the patients were treated with reduced doses of NOACs, which allowed for the evaluation of effectiveness and safety in patients on reduced doses; however, this also places limitations on the generalisability of the results to patients with NVAF primarily treated with standard doses of NOACs. Furthermore, the study provides much-needed data on the effectiveness and safety of NOACs in Japanese patients with NVAF, as many studies have been conducted in Western populations. However, the study has several limitations. First, data were obtained from a claims database containing information provided by hospitals applying the flat-fee payment system, which are mostly large hospitals responsible for acute care. Therefore, a significant proportion of the patients included were likely in poorer health than the average population requiring hospitalisation, possibly having more comorbidities and a higher risk of stroke/SE and bleeding. Second, the claims data did not include vital signs or laboratory measurements (eg, blood pressure, international normalised ratio values, renal function parameters), which precluded calculation of a HAS-BLED score.46 Therefore, we were unable to consider these variables in the calculation of the propensity score, and consequently, there is no guarantee that these characteristics were fully balanced after s-IPTW. Thus, the influence of unexamined confounding factors cannot be fully excluded. Third, we could not provide an estimate of follow-up loss as we had no subsequent data on patients who had visited a different hospital or clinic after being registered with one of the hospitals contributing to the MDV database. This could have led to an underestimation of the incidence of stroke/SE or major bleeding events. Fourth, results of some subgroup analyses are not conclusive owing to the smaller number of patients and lower statistical power. Fifth, primary endpoints were defined as resulting in hospitalisation, which differs from the adjudicated endpoints typically used in RCTs, and we did not include a mortality endpoint. Finally, while the majority of patients received reduced doses of NOACs, we were unable to determine whether this level of dosing was appropriate or if off-label underdosing of NOACs had any impact on the clinical outcomes owing to the unavailability of clinical information in the MDV database. In conclusion, a large proportion of patients with NVAF initiated treatment with reduced-dose NOACs in contemporary Japanese practice. Despite this, the risks of stroke/SE, along with major bleeding, were significantly lower for NOACs versus warfarin. The results were largely consistent across the patient subgroups with higher risk profiles, such as those with older age, lower body weight and renal disease.
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1.  Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores.

Authors:  S T Normand; M B Landrum; E Guadagnoli; J Z Ayanian; T J Ryan; P D Cleary; B J McNeil
Journal:  J Clin Epidemiol       Date:  2001-04       Impact factor: 6.437

Review 2.  Reader's guide to critical appraisal of cohort studies: 2. Assessing potential for confounding.

Authors:  Muhammad Mamdani; Kathy Sykora; Ping Li; Sharon-Lise T Normand; David L Streiner; Peter C Austin; Paula A Rochon; Geoffrey M Anderson
Journal:  BMJ       Date:  2005-04-23

3.  A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey.

Authors:  Ron Pisters; Deirdre A Lane; Robby Nieuwlaat; Cees B de Vos; Harry J G M Crijns; Gregory Y H Lip
Journal:  Chest       Date:  2010-03-18       Impact factor: 9.410

4.  Clinical Pharmacology of Oral Anticoagulants in Patients with Kidney Disease.

Authors:  Nishank Jain; Robert F Reilly
Journal:  Clin J Am Soc Nephrol       Date:  2018-05-25       Impact factor: 8.237

5.  Real-world comparison of major bleeding risk among non-valvular atrial fibrillation patients initiated on apixaban, dabigatran, rivaroxaban, or warfarin. A propensity score matched analysis.

Authors:  Gregory Y H Lip; Allison Keshishian; Shital Kamble; Xianying Pan; Jack Mardekian; Ruslan Horblyuk; Melissa Hamilton
Journal:  Thromb Haemost       Date:  2016-08-19       Impact factor: 5.249

6.  Effectiveness and Safety of Standard- and Low-Dose Rivaroxaban in Asians With Atrial Fibrillation.

Authors:  Yi-Cheng Lin; Shu-Chen Chien; Yi-Chen Hsieh; Chun-Ming Shih; Feng-Yen Lin; Nai-Wen Tsao; Chih-Wei Chen; Yung-Ta Kao; Kuang-Hsing Chiang; Wan-Ting Chen; Li-Nien Chien; Chun-Yao Huang
Journal:  J Am Coll Cardiol       Date:  2018-07-31       Impact factor: 24.094

Review 7.  The safety of NOACs in atrial fibrillation patient subgroups: A narrative review.

Authors:  Gregory Y H Lip
Journal:  Int J Clin Pract       Date:  2018-11-05       Impact factor: 2.503

8.  Edoxaban versus warfarin in patients with atrial fibrillation.

Authors:  Robert P Giugliano; Christian T Ruff; Eugene Braunwald; Sabina A Murphy; Stephen D Wiviott; Jonathan L Halperin; Albert L Waldo; Michael D Ezekowitz; Jeffrey I Weitz; Jindřich Špinar; Witold Ruzyllo; Mikhail Ruda; Yukihiro Koretsune; Joshua Betcher; Minggao Shi; Laura T Grip; Shirali P Patel; Indravadan Patel; James J Hanyok; Michele Mercuri; Elliott M Antman
Journal:  N Engl J Med       Date:  2013-11-19       Impact factor: 91.245

9.  Effectiveness and safety of apixaban versus warfarin in non-valvular atrial fibrillation patients in "real-world" clinical practice. A propensity-matched analysis of 76,940 patients.

Authors:  Xiaoyan Shawn Li; Steve Deitelzweig; Allison Keshishian; Melissa Hamilton; Ruslan Horblyuk; Kiran Gupta; Xuemei Luo; Jack Mardekian; Keith Friend; Anagha Nadkarni; Xianying Pan; Gregory Y H Lip
Journal:  Thromb Haemost       Date:  2017-03-16       Impact factor: 5.249

10.  Safety and effectiveness of apixaban in Japanese patients with nonvalvular atrial fibrillation in clinical practice: A regulatory postmarketing surveillance, the STANDARD study.

Authors:  Hiroshi Inoue; Michiaki Umeyama; Takako Yamada; Hiroyuki Hashimoto; Akira Komoto; Masahiro Yasaka
Journal:  J Arrhythm       Date:  2019-05-09
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  7 in total

1.  Effectiveness and safety of oral anticoagulants in non-valvular atrial fibrillation patients with prior bleeding events: a retrospective analysis of administrative claims databases.

Authors:  Gregory Y H Lip; Allison Keshishian; Amiee Kang; Xuemei Luo; Nipun Atreja; Yan Zhang; Patricia Schuler; Jenny Jiang; Huseyin Yuce; Steven Deitelzweig
Journal:  J Thromb Thrombolysis       Date:  2022-05-17       Impact factor: 5.221

2.  Real-world oral anticoagulants for Asian patients with non-valvular atrial fibrillation: A PRISMA-compliant article.

Authors:  Seung Min Kim; Eun-Tae Jeon; Jin-Man Jung; Ji-Sung Lee
Journal:  Medicine (Baltimore)       Date:  2021-08-13       Impact factor: 1.817

3.  Effectiveness and safety of non-vitamin K antagonist oral anticoagulants in patients with non-valvular atrial fibrillation: A nationwide, population-based study in Korea.

Authors:  Seongwook Han; Sola Han; Hae Sun Suh; Oh Young Bang; Young Keun On; Myung-Yong Lee; Sung-Won Jang; Mi-Mi Won; Yoo-Jung Park; Ji-Min Lee; Seongsik Kang; Young-Hoon Kim
Journal:  J Arrhythm       Date:  2021-08-11

Review 4.  Context and Considerations for Use of Two Japanese Real-World Databases in Japan: Medical Data Vision and Japanese Medical Data Center.

Authors:  Thomas Laurent; Jason Simeone; Ryohei Kuwatsuru; Takahiro Hirano; Sophie Graham; Ryozo Wakabayashi; Robert Phillips; Tatsuya Isomura
Journal:  Drugs Real World Outcomes       Date:  2022-03-18

5.  Real-World Comparisons of Low-Dose NOACs versus Standard-Dose NOACs or Warfarin on Efficacy and Safety in Patients with AF: A Meta-Analysis.

Authors:  Ze Li; Xiaozhen Wang; Dandan Li; Aiping Wen
Journal:  Cardiol Res Pract       Date:  2022-03-07       Impact factor: 1.990

6.  Low-Dose NOACs Versus Standard-Dose NOACs or Warfarin on Efficacy and Safety in Asian Patients with NVAF: A Meta-Analysis.

Authors:  Ze Li; Yingming Zheng; Dandan Li; Xiaozhen Wang; Sheng Cheng; Xiao Luo; Aiping Wen
Journal:  Anatol J Cardiol       Date:  2022-06       Impact factor: 1.475

7.  Effectiveness and Safety of Direct Oral Anticoagulants in Thai Patients with Atrial Fibrillation: A Real-World Retrospective Cohort Study.

Authors:  Saowaluk Srikajornlarp; Montawatt Amnueypol; Prin Vathesatogkit; Pawin Numthavaj; Artit Ungkanont; Khanchit Likittanasombat; Oraluck Pattanaprateep; Pantep Angchaisuksiri; Kochawan Boonyawat
Journal:  Clin Appl Thromb Hemost       Date:  2022 Jan-Dec       Impact factor: 3.512

  7 in total

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