Introduction
Current U.S. and European guidelines recommend dual antiplatelet therapy (DAPT) with aspirin plus a P2Y
12 receptor inhibitor in patients with ACS [
1‐
3]. The use of the newer generation P2Y
12 inhibitors, prasugrel and ticagrelor, is generally recommended over clopidogrel in ACS patients because of their superior efficacy, albeit at the expense of increased bleeding [
4‐
6]. The uptake of ticagrelor is superior to that of prasugrel among these due to its broader indications and less restrictions for use [
6]. However, clopidogrel still remains a commonly prescribed agent worldwide due to its lower costs, tolerability and favorable benefit–risk ratio [
7].
Switching between P2Y
12 receptor inhibitors frequently occurs in real-world practice and de-escalation from a more potent to a less potent agent has become part of a stage-adapted therapy [
8]. In this practice, providers use more potent P2Y
12 inhibitors to increase protection from ischemic events in the early phase after ACS, and later switch to clopidogrel to reduce bleeding [
9]. Indeed, while the ischemic benefit of the more potent P2Y
12 inhibitors over clopidogrel persists over time, their greatest benefits are seen early, when the risk of ischemic complications is highest, while most hemorrhagic events with potent platelet inhibitors arise during chronic treatment [
10,
11]. However, other reasons to de-escalate in clinical practice involve bleeding or non-bleeding side-effects (e.g., dyspnea) and costs [
12,
13]. Although observational data suggest that a uniform de-escalation strategy early after an ACS may increase the risk of adverse events [
14], recent randomized trial data from a smaller single-center trial suggests that when this occurs 4 weeks after hospital discharge, there is a reduced risk of bleeding complications without any trade-off in efficacy [
15]. Considering conflicting data, larger sample sizes are needed to better define the clinical implications associated with de-escalation, including the assets and drawbacks of guided versus unguided de-escalation strategies [
9,
15]. Despite the need for further investigations in the field, the recently released 2018 ESC/EACTS Guidelines on myocardial revascularization have included a new recommendation on guided DAPT de-escalation as a strategy that may be considered as an alternative treatment option for ACS patients [
16].
We conducted a systematic review and meta-analysis with the following objectives: (1) to assess the prevalence and timing of de-escalation from ticagrelor to clopidogrel in patients with ACS, and (2) to assess the rate of clinical outcomes (ischemic events and bleeding) following de-escalation from ticagrelor to clopidogrel in patients with ACS.
Materials and methods
Data sources and searches
The literature search was performed in MEDLINE (via PubMed), Embase (via Ovid), and the Cochrane Central Register of Controlled Trials (via Wiley) from inception to April 18, 2017. References were limited to those published in the English language. Conference abstracts from the American College of Cardiology, European Society of Cardiology, American Heart Association, and the European Hematology Association from 2012 to 2017 were also included in the review. The complete search strategies are provided in the Supplemental Materials. The methods recommended by the Centre for Reviews and Dissemination, University of York were used [
17].
Study selection
A standardized review protocol was used to define the eligibility criteria for the search and screening of references using the PICO(TSS) framework, which outlines the population, interventions, comparators, outcomes, timing, setting, and study designs of interest (Table S1).
Eligibility criteria for studies on the prevalence of de-escalation included observational studies and registries on patient populations with ACS, including ST-elevation myocardial infarction (STEMI), non-ST-elevation myocardial infarction (NSTEMI), unstable angina (UA), who received treatment with ticagrelor. Outcomes included the prevalence rate of patients who switched from ticagrelor to clopidogrel, the time to switch or duration of initial ticagrelor therapy, and the reasons for de-escalation.
Eligibility criteria for studies on the clinical outcomes associated with de-escalation included clinical trials and observational studies in patients who received initial treatment with ticagrelor and subsequently switched to clopidogrel treatment. Efficacy outcomes included MI, stroke, stent thrombosis, and major adverse cardiovascular events (MACE), defined as the composite of cardiovascular death, MI, or stroke. Safety outcomes included any bleeding and major bleeding. Definitions for MACE and major bleeding reported in each study are provided in the Supplemental Materials.
Data extraction and quality assessment
Study eligibility was determined by two reviewers (R.S. and K.S.) who independently screened the abstracts and full-text. Multiple publications from the same study were mapped as primary and companion publications. A third reviewer resolved discrepancies between two primary reviewers. Additional screening information is provided in the Supplemental Materials.
Data extraction was conducted using the Digital Outcome Conversion (DOC) Data version 2.0 software platform (Doctor Evidence, LLC, Santa Monica, CA, USA) and its universal electronic extraction form, based on a standardized data configuration protocol [
18].
The Cochrane Collaboration tool was used to assess the risk of bias in randomized controlled trials (RCTs) [
19], and the Newcastle–Ottawa Scale (NOS) was used to assess quality of non-randomized studies [
20]. A description of the methods is available in the Supplementary Material.
Statistical analysis
The prevalence and timing of de-escalation was analyzed by pooling the ticagrelor-treated cohorts to provide an overall estimate of the prevalence, or proportion, of patients switching to clopidogrel and the timing of de-escalation. When analyzing the clinical outcomes following de-escalation, a comparative analysis was preferred to make inferences regarding the choice between continuing initial ticagrelor therapy or de-escalation to clopidogrel; however, this was not feasible due to the lack of data reported for patients who remained on ticagrelor. Cohort analysis were performed instead and pooled groups that de-escalated from ticagrelor to clopidogrel therapy to determine the mean rate of outcomes, or proportion of patients experiencing the outcome, associated with de-escalation.
A random effects model using the restricted maximum likelihood (REML) method was used based on the observational study design and the heterogeneity observed between the studies [
21]. The logit transformed proportions model were used for the analysis of clinical outcomes due to the probability of sparse data. The REML method was used to correct for the negative bias associated with the maximum likelihood (ML) method and is more robust to data outliers than ML estimators [
22,
23]. Heterogeneity was assessed using the I
2 statistic, with a value of I
2 > 50% indicating significant heterogeneity. All analyses were performed using the R metaphor v2.0.0 package within the DOC Data version 2.0 software platform [
24].
Discussion
To the best of our knowledge, this is the first systematic and dedicated meta-analysis assessing the prevalence, timing, and clinical outcomes of de-escalation from ticagrelor to clopidogrel therapy. In the absence of large observational studies or randomized clinical trials assessing this modality of de-escalation, the current study aimed to pool the relevant studies to offer insights into treatment patterns in the real-world and the clinical implications associated with such practice.
Our analysis showed that it is not infrequent for ACS patients to de-escalate to clopidogrel therapy following initial treatment with ticagrelor (pooled prevalence rate of 19.8%). We observed a higher prevalence rate of de-escalation occurring in-hospital or at discharge than after hospital discharge (23.7% vs. 15.8%). The rates of de-escalation in-hospital or at discharge were more variable across the studies, compared to studies reporting de-escalation after discharge; however, both results showed significant heterogeneity among the studies. Due to the fast offset action of ticagrelor, de-escalation to clopidogrel by standard loading dose regimens is recommended, regardless of the timing (acute vs chronic) of de-escalation except for patients with bleeding complications in whom de-escalation with a maintenance dose regimen may be considered [
2,
12,
40]. The time to switch or duration of DAPT with ticagrelor, individual patient characteristics, and the specific reasons for de-escalation are underreported in the literature or not often documented in registries.
When assessing clinical outcomes after de-escalation, our analysis showed generally low rates across both ischemic outcomes and bleeding events, with no heterogeneity observed among studies for MACE and major bleeding. The observed aggregate event rates found in our review were comparable to those seen in clinical trials of de-escalation. Our results showed a rate of 2% for MACE (defined as CV mortality, MI, or stroke), 2% for CV mortality, and 1% for major bleeding. The TROPICAL-ACS study reported similar rates (3% and 1% and 1%, respectively) in patients with guided de-escalation from prasugrel to clopidogrel [
9]. In the TOPIC study, CV death occurred in 0.3% and major bleeding in 0.3% of patients who were randomly assigned to downgrade from prasugrel/ticagrelor to clopidogrel [
15]. Contrastingly, a different result is seen in observational data. In the SCOPE registry, a multicenter prospective non-randomized study that evaluated the incidence and short-term outcomes of switching oral P2Y
12 inhibitors in ACS patients undergoing PCI, de-escalation was associated with an incidence of 20.4% for MACE and 3.8% for bleeding events [
14]. In addition to the high-risk profile that patients from registries have compared with those from randomized clinical trials, these findings may be attributed to the fact that many patients switched therapy early after the index event, a time-frame in which patients are more vulnerable to thrombotic events and during which they could have benefited from more potent antiplatelet therapies.
There are several limitations regarding the findings of this study. The analysis was not performed using individual patient level data, thereby preventing adjustment of outcome data following de-escalation based on individual risk profile. Furthermore, studies did not report baseline risk variables for patients who de-escalated therapy. Duration of follow-up for outcomes, as well as the definitions for MACE and major bleeding outcomes, varied across studies. The prevalence analysis was conducted on data from observational studies, which have inherent source of bias, but do provide a more accurate assessment of prescribing behavior in the real-world setting. However, detailed information such as the timepoint of switch and patient outcomes following hospital discharge are not well reported in observational or registry data, thereby preventing landmark analyses for this review. Analyses of clinical efficacy and safety outcomes used a combination of data sourced from observational studies and RCTs. This poses challenges for determining the causal impact of de-escalation, but the inclusion of observational data may increase the generalizability of the results to real patient populations. As well, due to the limited data reported for patients remaining on ticagrelor therapy, a comparison with patients who de-escalated therapy could not be performed.
Based on the limitations and the considerable heterogeneity observed in some of our analyses, this study should be considered to be of exploratory nature. Dedicated and prospective studies are needed to provide evidence-based and practical recommendations on the optimal strategy to de-escalate DAPT therapy. These will inform on patient indicators that may benefit (or derive harm) from de-escalation, and whether the timing of de-escalation has an impact on clinical outcomes. Furthermore, further and large-scale randomized trials would allow an evaluation of de-escalation versus continuation of initial therapy. To this extent, a number of studies evaluating the use of genetic testing to guide antiplatelet treatment decisions making are currently ongoing and may add to the evidence of de-escalation guided by platelet function testing [
9,
41,
42], and since the time of this review, there is also more observational data addressing the subject of pre-mature discontinuation of antiplatelet therapy [
43]. Finally, defining the cost-effectiveness of de-escalation is warranted to better define its role in real-world practice. The role of platelet function and genetic testing guiding decision making on the choice of antiplatelet therapy to be used in patients undergoing PCI, has been recently revised in an updated international expert consensus document [
44].
Compliance with ethical standards
Conflict of interest
Dominick J. Angiolillo declares that he has received consulting fees or honoraria from Amgen, Aralez, AstraZeneca, Bayer, Biosensors, Boehringer Ingelheim, Bristol-Myers Squibb, Chiesi, Daiichi-Sankyo, Eli Lilly, Haemonetics, Janssen, Merck, PhaseBio, PLx Pharma, Pfizer, Sanofi, and The Medicines Company. He has received payments for participation in review activities from CeloNova and St Jude Medical. D.J.A. and he also declares that his institution has received research grants from Amgen, AstraZeneca, Bayer, Biosensors, CeloNova, CSL Behring, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead, Idorsia, Janssen, Matsutani Chemical Industry Co., Merck, Novartis, Osprey Medical, and Renal Guard Solutions. In addition, Dominick J. Angiolillo is recipient of funding from the Scott R. MacKenzie Foundation and the NIH/NCATS Clinical and Translational Science Award to the University of Florida UL1 TR000064 and NIH/NHGRI U01 HG007269, outside the submitted work. Giuseppe Patti reports speaker fees, consultancy, and/or advisory boards for Bayer, Boehringer-Ingelheim, BMS-Pfizer, Daiichi Sankyo, AstraZeneca, PIAM, Sanofi, AMGEN, Sigma-Tau, Malesci and MS. Dara Paek and Michael del Aguila report employment by Doctor Evidence, who was contracted by Sanofi to conduct the systematic review and analysis. Shalini Girotra reports employment by Sanofi. Dirk Sibbing reports grants from Roche Diagnostics, grants from Daiichi Sankyo; personal fees from Bayer AG, personal fees from Daiichi Sankyo, personal fees from Eli Lilly, personal fees from Roche Diagnostics, personal fees from MSD, personal fees from Pfizer, personal fees from AstraZeneca. All other authors report no conflicts of interest.
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