Literature DB >> 35600719

Changes in Antithrombotic Therapy Over Time and Durability of a Prasugrel WOEST-Like Regimen for Percutaneous Coronary Intervention Patients With Atrial Fibrillation - Post Hoc Analysis of the PENDULUM Mono and PENDULUM Registries.

Koichi Nakao1, Kazushige Kadota2, Yoshihisa Nakagawa3, Junya Shite4, Hiroyoshi Yokoi5, Ken Kozuma6, Kengo Tanabe7, Takashi Akasaka8, Toshiro Shinke9, Takafumi Ueno10, Atsushi Hirayama11, Shiro Uemura12, Atsushi Harada13, Takeshi Kuroda14, Atsushi Takita15, Raisuke Iijima16, Yoshitaka Murakami17, Shigeru Saito18, Masato Nakamura16.   

Abstract

Background: Previously published randomized atrial fibrillation (AF) percutaneous coronary intervention (PCI) trials have demonstrated the safety and efficacy of a WOEST-like regimen (oral anticoagulant [OAC] plus P2Y12 inhibitor) in patients with AF PCI within 1 year. However, the efficacy of this regimen in real-world practice has not been fully confirmed, especially the efficacy of the WOEST-like regimen using the approved dose of prasugrel in Japan. Methods and 
Results: This post hoc analysis included 186 and 220 patients from the PENDULUM mono and PENDULUM registries, respectively. Endpoints were the cumulative incidences of clinically relevant bleeding (CRB) and major adverse cardiac and cerebrovascular events (MACCE) at 12 months after PCI. Differences in the enrollment period led to an increase in OAC prescriptions (from 64.7% to 81.2%) and a reduction in the median duration of triple antithrombotic therapy (from 203.0 to 32.0 days) in the PENDULUM vs. PENDULUM mono registries, respectively. After adjustment by the inverse probability of treatment method, in patients with OAC, PENDULUM mono AF significantly reduced CRB without increasing MACCE compared with PENDULUM AF. Conclusions: A WOEST-like regimen with prasugrel may reduce CRB, without increasing MACCE, in Japanese patients with AF and high bleeding risk undergoing PCI.
Copyright © 2022, THE JAPANESE CIRCULATION SOCIETY.

Entities:  

Keywords:  Atrial fibrillation; Bleeding; Japan; Percutaneous coronary intervention; Prasugrel

Year:  2022        PMID: 35600719      PMCID: PMC9072101          DOI: 10.1253/circrep.CR-22-0032

Source DB:  PubMed          Journal:  Circ Rep        ISSN: 2434-0790


The WOEST (What is the Optimal antiplatElet & Anticoagulant Therapy in Patients With Oral Anticoagulation and Coronary StenTing), PIONEER AF-PCI (Open-Label, Randomized, Controlled, Multicenter Study Exploring Two Treatment Strategies of Rivaroxaban and a Dose-Adjusted Oral Vitamin K Antagonist Treatment Strategy in Subjects with Atrial Fibrillation who Undergo Percutaneous Coronary Intervention), RE-DUAL PCI (Randomized Evaluation of Dual Antithrombotic Therapy with Dabigatran versus Triple Therapy with Warfarin in Patients with Nonvalvular Atrial Fibrillation Undergoing Percutaneous Coronary Intervention), AUGUSTUS (a two-by-two factorial, randomized, controlled clinical trial), and ENTRUST-AF PCI (Edoxaban Treatment Versus Vitamin K Antagonist in Patients With Atrial Fibrillation Undergoing Percutaneous Coronary Intervention) studies compared the safety and efficacy of dual antithrombotic therapy (WOEST-like regimen: concomitant use of an oral anticoagulant [OAC] and a P2Y12 inhibitor) and triple antithrombotic therapy (TAT; concomitant use of an OAC, P2Y12 inhibitor, and aspirin) in patients undergoing percutaneous coronary intervention (PCI) complicated by atrial fibrillation (AF). These studies have established the efficacy and safety of the WOEST-like regimen and have led to its adoption in recent guidelines. However, this evidence was obtained outside of Japan and, more importantly, does not include patients treated with the Japanese-specific dose of prasugrel (3.75 mg). Patients were enrolled in the PENDULUM and PENDULUM mono registries from 2015 to 2018, at a time when a large amount of evidence on antithrombotic therapy for AF PCI patients had been accumulated through randomized controlled trials (RCTs). Although the Japanese Society of Cardiology guidelines had not been revised at that time, such evidence may not only reflect physicians’ prescriptions, but may also influence prescribing patterns. Therefore, analysis of AF PCI patients in the PENDULUM and PENDULUM mono registries may provide deep insights into the antithrombotic management of AF PCI in real-world practice. To clarify the impact of these prescription changes on outcomes, we analyzed the relationship between these changes and clinical outcomes. In particular, this study focused on the WOEST-like regimen with prasugrel.

Methods

Study Design

This was a post hoc analysis of 2 multicenter non-interventional prospective registration studies (PENDULUM mono and PENDULUM). Specifically, we conducted a post hoc subgroup analysis of patients from a previously published historical comparison of the PENDULUM mono and PENDULUM registries who presented with AF. The study protocols for the PENDULUM and PENDULUM mono studies were approved by the Ethics Committee of Toho University Ohashi Medical Center on 14 December 2015 (Reference code: 15–71) and 31 May 2017 (Reference code: H17006), respectively. Both studies were performed in accordance with the principles of the Declaration of Helsinki. All patients provided written informed consent. PENDULUM mono also complied with the Guidelines on Standards for the Conduct of Clinical Trials of Medicinal Products of the International Conference on Harmonization of Medicinal Products Regulations of the United States, Japan, and the European Union. Both studies were registered in the University Hospital Medical Information Network (UMIN) Clinical Trials Registry under the identifier numbers UMIN000028023 (PENDULUM mono) and UMIN000020332 (PENDULUM).

Study Population

Patients eligible for this analysis were AF patients from PENDULUM mono enrolled between June 2017 and December 2018 (197 of 1,222) and those from PENDULUM enrolled between December 2015 and July 2017 (538 of 6,422). The full inclusion and exclusion criteria for patients in the PENDULUM mono and PENDULUM registries have been described previously., This was an intention-to-treat analysis, and patients were analyzed if they were prescribed prasugrel as the P2Y12 inhibitor on the day of PCI (n=197 and 249 in PENDULUM mono and PENDULUM, respectively).

Outcomes

The endpoints were the cumulative incidences of clinically relevant bleeding (CRB; Bleeding Academic Research Consortium [BARC] Types 2, 3, and 5), major bleeding (BARC Types 3 and 5), and major adverse cardiac and cerebrovascular events (MACCE) 12 months after PCI. MACCE was defined as all-cause death, non-fatal myocardial infarction, non-fatal stroke, and stent thrombosis occurring 12 months after the index PCI. Bleeding risk at the time of PCI was evaluated using the mean number of high bleeding risk (HBR) criteria.

Statistical Analysis

A propensity score method was used to reduce the effect of treatment selection bias and potential confounders, and thus objectively compare data from the PENDULUM mono and PENDULUM registries. Age, body weight, estimated glomerular filtration rate, hemoglobin, direct OAC (DOAC) use at discharge, diabetes mellitus, acute coronary syndrome, platelet count, peripheral artery disease, gastrointestinal bleeding, non-steroidal anti-inflammatory drug/steroid use at discharge, ischemic stroke/transient ischemic attack/intracerebral hemorrhage, and complex PCI were the variables used in multivariate logistic regression to calculate the propensity scores. These variables were chosen based on the Japanese Circulation Society 2020 guideline and a previous report., Background bias of patients enrolled in both studies was adjusted using the inverse probability treatment weighting (IPTW) method. Standardized mean differences were calculated for baseline characteristics to verify the confounders’ balance between the 2 groups. The dual antiplatelet therapy (DAPT) discontinuation rate was calculated based on patients who discontinued either aspirin or P2Y12. If these patients restarted DAPT later, they were excluded from the analysis of DAPT discontinuation. The DAPT and TAT discontinuation rates were estimated using the Kaplan-Meier method. The Kaplan-Meier method was used to calculate the cumulative incidences of CRB, major bleeding, and MACCE and the corresponding 95% confidence intervals (CIs) at 12 months before and after adjusting for background factors using the IPTW method. The Cox regression model was used to calculate hazard ratios (HRs) and 95% CIs. The risk of MACCE and BARC 2, 3, or 5 bleeding events according to antithrombotic treatment regimen was estimated using Cox regression models. Statistical significance was set at two-sided P<0.05. All statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA).

Results

Patient Characteristics

Patient disposition is shown in . Of the 1,222 patients in PENDULUM mono, 197 patients with AF were included in this study. Of these, 186 patients with propensity scores were evaluated (PENDULUM mono AF). Among the 6,422 patients enrolled in PENDULUM, 249 patients with AF were included in this study. Of these, 220 patients with propensity scores were evaluated (PENDULUM AF).
Figure 1.

Patient disposition. Note, some patients met >1 exclusion criterion. AF, atrial fibrillation; DAPT, dual antiplatelet therapy; HBR, high bleeding risk; PCI, percutaneous coronary intervention.

Patient disposition. Note, some patients met >1 exclusion criterion. AF, atrial fibrillation; DAPT, dual antiplatelet therapy; HBR, high bleeding risk; PCI, percutaneous coronary intervention. The characteristics of AF patients before propensity score weighting are presented in . Patient background characteristics after adjustment and standardized mean differences after adjustment are presented in . The most common comorbidity was hypertension. In the PENDULUM mono AF and PENDULUM AF groups, 18.8% and 14.9% of patients, respectively, had a history of ischemic stroke and 4.6% and 2.8%, respectively, had a history of intracranial hemorrhage. Clinical manifestations included acute coronary syndrome in 26.4% and 31.7% of patients in the PENDULUM mono AF and PENDULUM AF groups, respectively. Mean±SD CHADS2 scores before adjusting for background factors using the IPTW method were 2.7±1.2 and 2.4±1.2 in the PENDULUM mono AF and PENDULUM AF groups, respectively ().
Table 1.

Characteristics of Patients With AF Before Adjusting for Background Factors Using the Inverse Probability Treatment Weighting Method

CharacteristicPENDULUM mono AF (n=197)PENDULUM AF (n=249)Standardized mean difference
Age (years)75.9±8.074.0±8.40.236
Male sex148 (75.1)192 (77.1)−0.046
Body weight (kg)60.6±11.662.7±13.0−0.172
Hypertension173 (87.8)211 (84.7)0.090
Hyperlipidemia140 (71.1)174 (69.9)0.026
Diabetes mellitus74 (37.6)99 (39.8)−0.045
Current smoker19 (9.6)49 (19.7)−0.287
Heart failure60 (30.5)75 (30.1)0.007
Peripheral arterial disease16 (8.1)14 (5.6)0.099
Atrial fibrillation197 (100.0)249 (100.0)
Malignancy16 (8.1)26 (10.4)−0.080
History
 Myocardial infarction42 (21.3)64 (25.7)−0.103
 PCI74 (37.6)96 (38.6)−0.020
 CABG8 (4.1)10 (4.0)0.002
 Ischemic stroke37 (18.8)37 (14.9)0.105
 ICH9 (4.6)7 (2.8)0.093
 Gastrointestinal bleeding15 (7.6)15 (6.0)0.063
Clinical presentation
 Non-ACS145 (73.6)170 (68.3)0.118
 ACS52 (26.4)79 (31.7)−0.118
  Unstable angina27 (13.7)29 (11.6)0.062
  NSTEMI14 (7.1)15 (6.0)0.044
  STEMI11 (5.6)35 (14.1)−0.288
Baseline laboratory values
 Hemoglobin (g/dL)12.9±1.812.9±2.00.013
 eGFR (mL/min/1.73 m2)50.8±20.954.4±22.4−0.169
 WBC (×109/L)6.2±1.96.9±2.4−0.319
 Platelet count (×104/μL)19.6±6.920.9±6.5−0.201
Medication at discharge
 Prasugrel196 (99.5)226 (90.8)0.414
  3.75 mg184 (93.4)225 (90.4)0.111
  2.5 mg12 (6.1)1 (0.4)0.325
 Clopidogrel0 (0.0)21 (8.4)−0.429
 Aspirin155 (78.7)242 (97.2)−0.593
 Anticoagulant160 (81.2)161 (64.7)0.379
  DOAC133 (67.5)119 (47.8)0.407
  Warfarin27 (13.7)42 (16.9)−0.088
 PPI174 (88.3)219 (88.0)0.012
 NSAIDs (except aspirin)12 (6.1)17 (6.8)−0.030
 Steroids8 (4.1)14 (5.6)−0.073
Angiographic features
 No. diseased vessels
  1101 (51.3)104 (41.8)0.191
  260 (30.5)83 (33.3)−0.062
  334 (17.3)57 (22.9)−0.141
 Left main trunk8 (4.1)17 (6.8)−0.122
Procedural data
 Puncture site
  Femoral38 (19.3)76 (30.5)−0.262
  Brachial11 (5.6)12 (4.8)0.034
  Radial147 (74.6)164 (65.9)0.192
 Imaging-guided
  IVUS or OCT/OFDI186 (94.4)234 (94.0)0.019
 Complex PCI
  All35 (17.8)55 (22.1)−0.108
  ≥3 stents13 (6.6)19 (7.6)−0.040
  ≥3 treatment lesions13 (6.6)20 (8.0)−0.055
  Bifurcation with 2 stents2 (1.0)3 (1.2)−0.018
  Total stent length >60 mm23 (11.7)27 (10.8)0.026
  Chronic total occlusion11 (5.6)20 (8.0)−0.097
HBR criteria
 HBR193 (98.0)224 (90.0)0.341
 OAC use160 (81.2)161 (64.7)0.379
 Severe CKD (eGFR <30 mL/min/1.73 m2)26 (13.2)28 (11.2)0.060
 Severe anemia (Hb <11 g/dL)32 (16.2)48 (19.3)−0.079
 Platelet count <100×109/L5 (2.5)7 (2.8)−0.017
 Liver cirrhosis0 (0.0)1 (0.4)−0.090
 Malignancy16 (8.1)26 (10.4)−0.080
 Prior ICH9 (4.6)7 (2.8)0.093
 Age ≥75 years126 (64.0)119 (47.8)0.330
 Moderate CKD (eGFR 30–<60 mL/min/1.73 m2)101 (51.3)112 (45.0)0.126
 Moderate anemia (Hb 11–13 g/dL in men, 11–12 g/dL in women)49 (24.9)57 (22.9)0.046
 NSAIDs or steroid use17 (8.6)26 (10.4)−0.062
 Prior ischemic stroke without ICH33 (16.8)34 (13.7)0.086
 Prior gastrointestinal bleeding15 (7.6)15 (6.0)0.063

Unless indicated otherwise data are given as n (%) or as the mean±SD. ACS, acute coronary syndrome; AF, atrial fibrillation; CABG, coronary artery bypass graft; CKD, chronic kidney disease; DOAC, direct oral anticoagulant; eGFR, estimated glomerular filtration rate; Hb, hemoglobin; HBR, high bleeding risk; ICH, intracranial hemorrhage; IVUS, intravascular ultrasound; NSAIDs, non-steroidal anti-inflammatory drugs; NSTEMI, non-ST segment elevation myocardial infarction; OAC, oral anticoagulant; OCT, optical coherence tomography; OFDI, optical frequency domain imaging; PCI, percutaneous coronary intervention; PPI, proton-pump inhibitor; STEMI, ST-elevation myocardial infarction; WBC, white blood cell count.

Characteristics of Patients With AF Before Adjusting for Background Factors Using the Inverse Probability Treatment Weighting Method Unless indicated otherwise data are given as n (%) or as the mean±SD. ACS, acute coronary syndrome; AF, atrial fibrillation; CABG, coronary artery bypass graft; CKD, chronic kidney disease; DOAC, direct oral anticoagulant; eGFR, estimated glomerular filtration rate; Hb, hemoglobin; HBR, high bleeding risk; ICH, intracranial hemorrhage; IVUS, intravascular ultrasound; NSAIDs, non-steroidal anti-inflammatory drugs; NSTEMI, non-ST segment elevation myocardial infarction; OAC, oral anticoagulant; OCT, optical coherence tomography; OFDI, optical frequency domain imaging; PCI, percutaneous coronary intervention; PPI, proton-pump inhibitor; STEMI, ST-elevation myocardial infarction; WBC, white blood cell count.

Changes in Antithrombotic Prescription

The percentage of patients without OACs at discharge decreased from 35.3% in the PENDULUM AF group to 18.8% in the PENDULUM mono AF group. This was accompanied by an increase in the prescription of DOACs in the PENDULUM AF group vs. the PENDULUM mono AF group (from 47.8% to 67.5%). In the case of antiplatelet administration, the mean duration of DAPT was 61.7 days in the PENDULUM mono AF group and 199.0 days in the PENDULUM AF group, whereas the median duration of DAPT therapy was 32 days in the PENDULUM mono AF group and 203 days in the PENDULUM AF group. The percentage of patients continuing DAPT reached 75% on Day 27 in the PENDULUM mono AF group and on Day 73 in the PENDULUM AF group. The percentage of patients continuing DAPT reached 50% on Day 35 in the PENDULUM mono AF group and on Day 211 in the PENDULUM AF group (). The cumulative incidence of CRB (BARC Types 2, 3, and 5) at 12 months after PCI was 8.1% in the PENDULUM mono AF group and 9.2% in the PENDULUM AF group (HR 0.81; 95% CI 0.41–1.58; P=0.528; ). The cumulative incidence of major bleeding (BARC Types 3 and 5) at 12 months after PCI was 6.4% in the PENDULUM mono AF group and 7.5% in the PENDULUM AF group (HR 0.77; 95% CI 0.37–1.64; P=0.502; ). The cumulative incidence of MACCE at 12 months after PCI did not tend to increase in the PENDULUM mono AF group and did not differ from that in the PENDULUM AF group (HR 0.88; 95% CI 0.41–1.90; P=0.752; ).
Figure 2.

Cumulative incidence before inverse probability treatment weighting adjustment of (A) clinically relevant bleeding (Bleeding Academic Research Consortium [BARC] Types 2, 3, and 5), (B) major bleeding (BARC Types 3 and 5), and (C) major adverse cardiac and cerebrovascular events (MACCE). AF, atrial fibrillation; CI, confidence interval; HR, hazard ratio.

Cumulative incidence before inverse probability treatment weighting adjustment of (A) clinically relevant bleeding (Bleeding Academic Research Consortium [BARC] Types 2, 3, and 5), (B) major bleeding (BARC Types 3 and 5), and (C) major adverse cardiac and cerebrovascular events (MACCE). AF, atrial fibrillation; CI, confidence interval; HR, hazard ratio.

Comparison Between PENDULUM Mono AF and PENDULUM AF Patients With and Without OAC Use

The incidences of CRB and MACCE in the PENDULUM mono AF and PENDULUM AF groups with and without anticoagulant use before IPTW adjustment are presented in . In both the PENDULUM mono AF and PENDULUM AF groups, the incidence of MACCE was two to threefold higher in patients who were treated with antiplatelet agents only. The incidence of CRB was high in the PENDULUM AF group with OAC, but higher in the PENDULUM mono AF group without OAC.
Table 2.

Comparison of the Incidence of CRB and MACCE in the PENDULUM Mono AF and PENDULUM AF Groups According to OAC Use Before Inverse Probability Treatment Weighting Adjustment

 With OACWithout OAC
PENDULUM mono AF (n=160)PENDULUM AF (n=161)HR (95% CI)PENDULUM mono AF (n=37)PENDULUM AF (n=88)HR (95% CI)
CRB10 (6.9)18 (11.2)0.55 (0.25–1.19)4 (10.8)4 (4.5)2.49 (0.62–10.00)
MACCE7 (4.4)6 (3.7)1.19 (0.40–3.54)4 (10.8)10 (11.4)0.98 (0.31–3.13)

Unless indicated otherwise data show the number of patients in each group with the percentage in parentheses. AF, atrial fibrillation; CI, confidence interval; CRB, clinically relevant bleeding; HR, hazard ratio; MACCE, major adverse cardiac and cerebrovascular events; OAC, oral anticoagulant.

Comparison of the Incidence of CRB and MACCE in the PENDULUM Mono AF and PENDULUM AF Groups According to OAC Use Before Inverse Probability Treatment Weighting Adjustment Unless indicated otherwise data show the number of patients in each group with the percentage in parentheses. AF, atrial fibrillation; CI, confidence interval; CRB, clinically relevant bleeding; HR, hazard ratio; MACCE, major adverse cardiac and cerebrovascular events; OAC, oral anticoagulant.

Differences in the Timing of Initiation of the WOEST-Like Regimen

The cumulative incidences of CRB, major bleeding, and MACCE after IPTW adjustment are shown in . Bleeding events were numerically higher in the PENDULUM AF group, including both patients with and without OACs.
Figure 3.

Cumulative incidence after inverse probability treatment weighting adjustment of (A) clinically relevant bleeding (Bleeding Academic Research Consortium [BARC] Types 2, 3, and 5), (B) major bleeding (BARC Types 3 and 5), and (C) major adverse cardiac and cerebrovascular events (MACCE). AF, atrial fibrillation; CI, confidence interval; HR, hazard ratio.

Cumulative incidence after inverse probability treatment weighting adjustment of (A) clinically relevant bleeding (Bleeding Academic Research Consortium [BARC] Types 2, 3, and 5), (B) major bleeding (BARC Types 3 and 5), and (C) major adverse cardiac and cerebrovascular events (MACCE). AF, atrial fibrillation; CI, confidence interval; HR, hazard ratio. The cumulative incidences of CRB, major bleeding, and MAACE in patients treated with OACs from the PENDULUM mono AF and PENDULUM AF groups after IPTW adjustment are shown in . In the PENDULUM mono AF group, the cumulative incidence of CRB was significantly lower than in the PENDULUM AF group without any increase in MACCE.
Figure 4.

Cumulative incidence after inverse probability treatment weighting adjustment of (A) clinically relevant bleeding (Bleeding Academic Research Consortium [BARC] Types 2, 3, and 5), (B) major bleeding (BARC Types 3 and 5), and (C) major adverse cardiac and cerebrovascular events (MACCE) in patients taking oral anticoagulants. AF, atrial fibrillation; CI, confidence interval; HR, hazard ratio.

Cumulative incidence after inverse probability treatment weighting adjustment of (A) clinically relevant bleeding (Bleeding Academic Research Consortium [BARC] Types 2, 3, and 5), (B) major bleeding (BARC Types 3 and 5), and (C) major adverse cardiac and cerebrovascular events (MACCE) in patients taking oral anticoagulants. AF, atrial fibrillation; CI, confidence interval; HR, hazard ratio.

Cox Regression Analysis of Different Antithrombotic Regimens

shows the difference in outcomes by different antithrombotic regimens for AF patients who underwent PCI with the WOEST-like regimen as a reference. Although there was a difference between the WOEST-like and TAT regimes in terms of CRB, there were no statistically significant differences between the WOEST-like regimen and other formulations, although there was a tendency for the WOEST-like formulation to show benefits.
Figure 5.

Cox regression model of different antithrombotic strategies using the WOEST-like regimen as a reference.– BARC2–5, Bleeding Academic Research Consortium Types 2–5; CI, confidence interval; DAPT, dual antiplatelet therapy; HR, hazard ratio; MACCE, major adverse cardiac and cerebrovascular events; SAPT, single antiplatelet therapy; TAT, triple antithrombotic therapy; WOEST-like regimen, concomitant use of an oral anticoagulant and P2Y12 inhibitor.

Cox regression model of different antithrombotic strategies using the WOEST-like regimen as a reference.– BARC2–5, Bleeding Academic Research Consortium Types 2–5; CI, confidence interval; DAPT, dual antiplatelet therapy; HR, hazard ratio; MACCE, major adverse cardiac and cerebrovascular events; SAPT, single antiplatelet therapy; TAT, triple antithrombotic therapy; WOEST-like regimen, concomitant use of an oral anticoagulant and P2Y12 inhibitor.

Discussion

The present multicenter study is the first to evaluate the use of the prasugrel maintenance dose marketed in Japan (3.75 mg) for Japanese patients with AF and HBR who underwent PCI. The frequency of AF PCI was 8.3%, consistent with the reported frequency in large PCI registries (CREDO-Kyoto). In contrast, AF PCI was 16.1% in PENDULUM mono, which registered patients with HBR. This suggests that AF PCI is a major contributor to HBR in routine practice and is clinically significant. The uniqueness of this study is that patient enrollment occurred at a time when much of the evidence for AF PCI was accumulating. In addition, the prescription of antithrombotic therapy was left to the discretion of physicians. Therefore, antithrombotic therapy is presumed to vary over time, and studies on trends in prescribing may provide different antithrombotic outcomes for AF PCI. In particular, because PCI was contemporary PCI (imaging-guided, 94.4%; transradial approach, 72.1%; proton-pump inhibitor, 84.5%), we suggest that the results observed in AF PCI may be largely related to antithrombotic therapy. Indeed, the antithrombotic regimen varied with time. In the PENDULUM registry, conducted prior to the PENDULUM mono AF study, OAC use for AF patients was less frequent and DOACs were prescribed less often, whereas TAT therapy was more prolonged. The incidence of major bleeding was higher than the incidence of MACCE in PENDULUM AF. The relationship between the major bleeding incidence rate and the MACCE incidence rate was opposite to that between major bleeding and MACCE in the entire PENDULUM registry. This difference in the balance between bleeding and MACCE reminds us of the risk of bleeding events in AF PCI and suggests the clinical implication of reducing bleeding events in AF PCI. Although the cumulative incidences of CRB and major bleeding were lower with PENDULUM mono AF than with PENDULUM AF, the differences were not statistically significant. This finding may be due to the small number of patients studied and the lack of power of the study compared with previously reported RCTs. It may also be explained by the inclusion of a substantial number of patients treated with antiplatelet agents alone in both groups. Importantly, the efficacy of the WOEST-like regimen and the impact of early termination of TAT therapy was clearly demonstrated in the comparison of PENDULUM AF and PENDULUM mono AF with OAC. Patients in the PENDULUM AF group remained on TAT for more than 200 days on average and had more bleeding events than those in the PENDULUM mono AF group (median TAT duration, 36 days), which is consistent with the guideline recommendations before they were revised in 2020. Notably, in this study, the difference in CRB incidence between the PENDULUM mono AF and PENDULUM AF groups increased soon after PCI, which was similar to our previous report. However, there was no significant difference in the cumulative incidence of MACCE for PENDULUM mono AF compared with PENDULUM AF. This finding is consistent with previous AF PCI RCTs and important because this is the first study to show that a WOEST-like regimen can reduce the risk of bleeding without increasing the risk of MACCE in Japanese patients at the dose of 3.75 mg, which is approved in Japan. Regarding the balance of bleeding and thrombosis risk, Cox regression analysis in the present study may suggest that a WOEST-like regimen with prasugrel is optimal. The reason for the lack of statistical significance is most likely insufficient power, but this finding is consistent with a previous large cohort study from Denmark and subsequent AF PCI RCTs., The results observed in this study are practical and meaningful for daily practice because the study used real-world data from the latest PCI procedures without any notable exclusions.

Study Limitations

The present study was not an RCT, but a matched trial of existing controls. For consistency with PENDULUM mono, the factors used to calculate propensity scores in the present study are unified with PENDULUM mono. OAC use at discharge was adjusted using the IPTW method and the comparison between the 2 groups was balanced; however, the rate of OAC prescription in this study differed between the groups. Therefore, there may be unadjusted confounders, such as ST-elevation myocardial infarction. Because of the observational study design, we could not thoroughly examine the benefits of the WOEST-like regimen with prasugrel. Furthermore, because of the study’s observational nature, it was difficult to determine the optimal duration of TAT. Regarding adverse events, the possibility of evaluator bias cannot be excluded. Although the evaluators were the same, the pre-existing controlled trial design allowed the adverse event evaluators to know whether participants were in the PENDULUM mono AF or PENDULUM AF group. Event occurrences in this study were determined by physician judgment (diagnosis), so clinical events may have been underreported. Because this was a post hoc analysis, it lacks statistical power. In addition, the sample size was not designed with the objective of detecting statistical differences between AF subgroups. This study did not focus on AF, and thus detailed data on the type of AF cannot be provided. Therefore, it would be necessary to conduct an analysis with more AF patients in a future RCT.

Conclusions

The findings of the present study suggest that a WOEST-like regimen with prasugrel may reduce BARC Types 2, 3, and 5 bleeding, without increasing MACCE, in Japanese patients with AF undergoing PCI.

Sources of Funding

This study was supported by Daiichi Sankyo Co., Ltd. (Tokyo, Japan). Daiichi Sankyo Co., Ltd. played a role in the design and conduct of the study; collection, management, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclosures

K. Nakao has received remuneration from Daiichi Sankyo Co., Ltd. K. Kadota has received remuneration from Daiichi Sankyo Co., Ltd. and Sanofi K.K. Y. Nakagawa has received remuneration from Bristol Myers Squibb K.K., Kowa Pharmaceutical Co., Ltd., Daiichi Sankyo Co., Ltd., Bayer Yakuhin Ltd., Sanofi K.K., Boston Scientific Corporation, and Abbott Medical Japan LLC., as well as research funding from Daiichi Sankyo Co., Ltd., Bayer Yakuhin Ltd., Sanofi K.K., Boston Scientific Corporation, and Abbott Medical Japan LLC. J. Shite has received remuneration from Daiichi Sankyo Co., Ltd., Nipro Corporation, Abbott Japan LLC., and Terumo Corporation. H. Yokoi has received remuneration and scholarship funds or donations from Daiichi Sankyo Co., Ltd. K. Kozuma has received remuneration and research funding from Daiichi Sankyo Co., Ltd. K. Tanabe has received remuneration from Daiichi Sankyo Co., Ltd., Sanofi K.K., AstraZeneca K.K., Abbott Medical Japan LLC., Boston Scientific Corporation, and Terumo Corporation. T. Akasaka has received remuneration from Abbot Medical Japan LCC. and Otsuka Pharmaceutical Co., Ltd., research funding from Daiichi Sankyo Co., Ltd., scholarship funds or donations from Abbot Medical Japan LCC., Nipro Corporation, and Terumo Corporation, and has personal relationships with Terumo Corporation. T. Shinke has received remuneration and research funding from Daiichi Sankyo Co., Ltd., Bayer Yakuhin Ltd., Bristol-Myers Squibb K.K., and Nippon Boehringer Ingelheim Co., Ltd. T. Ueno has received consultancy fees from Japan Medical Device Technology Co., Ltd. and Nipro Corporation. A. Hirayama has received remuneration from Daiichi Sankyo Co., Ltd., Bayer Yakuhin Ltd., and Takeda Pharmaceutical Co., Ltd. S. Uemura has received remuneration from Daiichi Sankyo Co., Ltd., Nippon Boehringer Ingelheim Co., Ltd., Amgen Astellas BioPharma Co., Ltd., Abbot Medical Japan LLC., Sanofi K.K., Terumo Corporation, and Bayer Yakuhin Ltd., research funding from Daiichi Sankyo Co., Ltd., and scholarship funds or donations from Daiichi Sankyo Co., Ltd., Astellas Pharma Inc., Otsuka Pharmaceutical Co., Ltd., Goodman Co., Ltd., Shionogi Inc., Sumitomo Dainippon Pharma Co., Ltd., Boston Scientific Japan K.K., Kaken Pharmaceutical Co., Ltd., Takeda Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Mitsubishi Tanabe Pharmaceutical Co., Ltd., Japan Lifeline Co., Ltd., MSD K.K., Nipro Corporation, Actelion Pharmaceuticals Japan Ltd., Pfizer Japan Inc., Abbot Medical Japan LLC., Sanofi K.K., Terumo Corporation, and Bayer Yakuhin Ltd. A. Harada, T. Kuroda, and A. Takita are employees of Daiichi Sankyo Co., Ltd. Y. Murakami has received remuneration from SRD Co., Ltd. S. Saito has received consultancy fees from Japan Lifeline Co., Ltd. and Terumo Corporation, as well as remuneration from Daiichi Sankyo Co., Ltd., Abbott Medical Japan LLC., Boston Scientific Corporation, and Medtronic Japan Co., Ltd. M. Nakamura has received remuneration from Daiichi Sankyo Co., Ltd., Sanofi K.K., Terumo Corporation, and Bristol Myers Squibb K.K., and research funding from Daiichi Sankyo Co., Ltd., Sanofi K.K., and Bayer Yakuhin K.K. R. Iijima has no conflicts of interest to declare. T. Ueno, A. Hirayama, and Y. Murakami are members of Circulation Reports’ Editorial Team.

IRB Information

This is a post hoc analysis of data from the PENDULUM mono and PENDULUM registry studies conducted in accordance with the principles of the Declaration of Helsinki. All patients provided written informed consent. Protocols for the PENDULUM registry and PENDULUM mono studies were approved by the Ethics Committee of Toho University Ohashi Medical Center on 14 December 2015 (Reference code: 15–71) and 31 May 2017 (Reference code: H17006), respectively. PENDULUM mono also complied with the Guidelines on Standards for the Conduct of Clinical Trials of Medicinal Products of the International Conference on Harmonization of Medicinal Products Regulations of the United States, Japan, and the European Union.

Author Contributions

All authors provided substantial contributions to the conception or design of the study; or the acquisition, analysis, or interpretation of data; participated in drafting the manuscript or revising it critically for important intellectual content; provided final approval of the version to be published; and are in agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the study are appropriately investigated and resolved. Supplementary Table 1. Background Characteristics of Patients With AF After Adjusting for Background Factors and SMD After Adjustment (IPTW Method) Supplementary Table 2. CHADS2 Scores Before Adjusting for Background Factors Using the Inverse Probability Treatment Weighting Method Supplementary Figure.
  11 in total

1.  Antithrombotic Therapy after Acute Coronary Syndrome or PCI in Atrial Fibrillation.

Authors:  Renato D Lopes; Gretchen Heizer; Ronald Aronson; Amit N Vora; Tyler Massaro; Roxana Mehran; Shaun G Goodman; Stephan Windecker; Harald Darius; Jia Li; Oleg Averkov; M Cecilia Bahit; Otavio Berwanger; Andrzej Budaj; Ziad Hijazi; Alexander Parkhomenko; Peter Sinnaeve; Robert F Storey; Holger Thiele; Dragos Vinereanu; Christopher B Granger; John H Alexander
Journal:  N Engl J Med       Date:  2019-03-17       Impact factor: 91.245

2.  JCS 2020 Guideline Focused Update on Antithrombotic Therapy in Patients With Coronary Artery Disease.

Authors:  Masato Nakamura; Kazuo Kimura; Takeshi Kimura; Masaharu Ishihara; Fumiyuki Otsuka; Ken Kozuma; Masami Kosuge; Toshiro Shinke; Yoshihisa Nakagawa; Masahiro Natsuaki; Satoshi Yasuda; Takashi Akasaka; Shun Kohsaka; Kazuo Haze; Atsushi Hirayama
Journal:  Circ J       Date:  2020-03-13       Impact factor: 2.993

3.  Use of clopidogrel with or without aspirin in patients taking oral anticoagulant therapy and undergoing percutaneous coronary intervention: an open-label, randomised, controlled trial.

Authors:  Willem J M Dewilde; Tom Oirbans; Freek W A Verheugt; Johannes C Kelder; Bart J G L De Smet; Jean-Paul Herrman; Tom Adriaenssens; Mathias Vrolix; Antonius A C M Heestermans; Marije M Vis; Jan G P Tijsen; Arnoud W van 't Hof; Jurriën M ten Berg
Journal:  Lancet       Date:  2013-02-13       Impact factor: 79.321

4.  High bleeding risk and clinical outcomes in East Asian patients undergoing percutaneous coronary intervention: the PENDULUM registry.

Authors:  Masato Nakamura; Kazushige Kadota; Koichi Nakao; Yoshihisa Nakagawa; Junya Shite; Hiroyoshi Yokoi; Ken Kozuma; Kengo Tanabe; Raisuke Iijima; Atsushi Harada; Takeshi Kuroda; Yoshitaka Murakami
Journal:  EuroIntervention       Date:  2021-02-19       Impact factor: 6.534

5.  Edoxaban-based versus vitamin K antagonist-based antithrombotic regimen after successful coronary stenting in patients with atrial fibrillation (ENTRUST-AF PCI): a randomised, open-label, phase 3b trial.

Authors:  Pascal Vranckx; Marco Valgimigli; Lars Eckardt; Jan Tijssen; Thorsten Lewalter; Giuseppe Gargiulo; Valerii Batushkin; Gianluca Campo; Zoreslava Lysak; Igor Vakaliuk; Krzysztof Milewski; Petra Laeis; Paul-Egbert Reimitz; Rüdiger Smolnik; Wolfgang Zierhut; Andreas Goette
Journal:  Lancet       Date:  2019-09-03       Impact factor: 79.321

6.  Bleeding after initiation of multiple antithrombotic drugs, including triple therapy, in atrial fibrillation patients following myocardial infarction and coronary intervention: a nationwide cohort study.

Authors:  Morten Lamberts; Jonas Bjerring Olesen; Martin Huth Ruwald; Carolina Malta Hansen; Deniz Karasoy; Søren Lund Kristensen; Lars Køber; Christian Torp-Pedersen; Gunnar Hilmar Gislason; Morten Lock Hansen
Journal:  Circulation       Date:  2012-08-06       Impact factor: 29.690

7.  Monotherapy With Prasugrel After Dual-Antiplatelet Therapy for Japanese Percutaneous Coronary Intervention Patients With High Bleeding Risk - A Prospective Cohort Study (PENDULUM mono Study).

Authors:  Masato Nakamura; Yoshihiro Morino; Tsunekazu Kakuta; Yoshiki Hata; Itaru Takamisawa; Kengo Tanabe; Hitoshi Anzai; Akihiko Takahashi; Kazushige Kadota; Hiroshi Suzuki; Tetsuzo Wakatsuki; Hideki Okayama; Jun Yamashita; Takashi Akasaka; Hiroyoshi Yokoi; Takuo Nakagami; Yoshiharu Higuchi; Junichi Yamaguchi; Takumi Kimura; Atsushi Harada; Takeshi Kuroda; Atsushi Takita; Raisuke Iijima; Yoshitaka Murakami; Shigeru Saito
Journal:  Circ J       Date:  2020-11-07       Impact factor: 2.993

8.  Single Antiplatelet Therapy With Prasugrel vs. Dual Antiplatelet Therapy in Japanese Percutaneous Coronary Intervention Patients With High Bleeding Risk.

Authors:  Masato Nakamura; Kazushige Kadota; Koichi Nakao; Yoshihisa Nakagawa; Junya Shite; Hiroyoshi Yokoi; Ken Kozuma; Kengo Tanabe; Takashi Akasaka; Toshiro Shinke; Takafumi Ueno; Atsushi Hirayama; Shiro Uemura; Atsushi Harada; Takeshi Kuroda; Atsushi Takita; Raisuke Iijima; Yoshitaka Murakami; Shigeru Saito
Journal:  Circ J       Date:  2021-02-11       Impact factor: 2.993

9.  Defining high bleeding risk in patients undergoing percutaneous coronary intervention: a consensus document from the Academic Research Consortium for High Bleeding Risk.

Authors:  Philip Urban; Roxana Mehran; Roisin Colleran; Dominick J Angiolillo; Robert A Byrne; Davide Capodanno; Thomas Cuisset; Donald Cutlip; Pedro Eerdmans; John Eikelboom; Andrew Farb; C Michael Gibson; John Gregson; Michael Haude; Stefan K James; Hyo-Soo Kim; Takeshi Kimura; Akihide Konishi; John Laschinger; Martin B Leon; P F Adrian Magee; Yoshiaki Mitsutake; Darren Mylotte; Stuart Pocock; Matthew J Price; Sunil V Rao; Ernest Spitzer; Norman Stockbridge; Marco Valgimigli; Olivier Varenne; Ute Windhoevel; Robert W Yeh; Mitchell W Krucoff; Marie-Claude Morice
Journal:  Eur Heart J       Date:  2019-08-14       Impact factor: 29.983

10.  Relationship Between Platelet Reactivity and Ischemic and Bleeding Events After Percutaneous Coronary Intervention in East Asian Patients: 1-Year Results of the PENDULUM Registry.

Authors:  Masato Nakamura; Kazushige Kadota; Akihiko Takahashi; Junji Kanda; Hitoshi Anzai; Yasuhiro Ishii; Yoshisato Shibata; Yoshinori Yasaka; Itaru Takamisawa; Junichi Yamaguchi; Yoshihiro Takeda; Atsushi Harada; Tomoko Motohashi; Raisuke Iijima; Shiro Uemura; Yoshitaka Murakami
Journal:  J Am Heart Assoc       Date:  2020-05-12       Impact factor: 5.501

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.