Literature DB >> 31296977

Real-world use of ticagrelor versus clopidogrel in percutaneous coronary intervention-treated ST-elevation myocardial infarction patients: A single-center registry study.

Leia Hee1,2, Oliver J Gibbs1,2, Joseph G Assad2, Lokesh D Sharma2, Andrew Hopkins1,2, Craig P Juergens1,2, Sidney Lo1,2, Christian J Mussap1,2.   

Abstract

OBJECTIVES: The primary aim was to investigate the efficacy and safety of dual antiplatelet therapy (DAPT) using ticagrelor (T-DAPT) versus clopidogrel (C-DAPT) in a real-world ST-elevation myocardial infarction (STEMI) population.
METHODS: We retrospectively analyzed 655 consecutive patients having primary percutaneous coronary intervention (PCI) for STEMI at Liverpool Hospital, Sydney, Australia (from January 2013 to April 2016). Medical and procedural therapies were at clinician discretion. Patient data were retrieved from hospital records and primary clinicians.
RESULTS: T-DAPT (65%) was used more frequently, and in patients with lower mean CRUSADE (Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the American College of Cardiology/American Heart Association Guidelines) score, than C-DAPT (24.6 vs. 32.2; p < 0.0001, respectively). All-cause mortality was 9.0% at 2.7 years follow-up, with fewer deaths for T-DAPT (4.5% vs. 17.2%; p < 0.0001). T-DAPT incurred less BARC (Bleeding Academic Research Consortium) 3-5 major bleeding (5.0% vs. 12.4%; p < 0.0001). Multivariate regression showed that C-DAPT, GRACE (Global Registry of Acute Cardiac Events) score, and renal insufficiency were independently associated with mortality. Intra-aortic balloon pump (IABP) and GRACE score independently predicted BARC 3-5 bleeding. Early DAPT discontinuation (1.7%) and ticagrelor intolerance (7.6%) was rare. Switching DAPT regimen was infrequent (21.7%) and mostly attributed to clinician preference (73.2%). Independent determinants of C-DAPT selection were older age, diabetes, prior PCI, IABP, and higher CRUSADE score.
CONCLUSION: Ticagrelor was preferred in low bleeding risk patients, which may have contributed to less BARC 3-5 bleeding and lower mortality for T-DAPT. Thus, bleeding mitigation is a clinical priority when selecting DAPT for PCI-treated STEMI patients. Continuation of initial DAPT regimen was typical, but early switching from clopidogrel to ticagrelor shows willingness to optimize DAPT. Patients with very low CRUSADE scores (<21.5) may be appropriate for switching to a potent P2Y12 inhibitor.

Entities:  

Keywords:  Bleeding Academic Research Consortium (BARC); Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the American College of Cardiology/American Heart Association Guidelines (CRUSADE); Dual antiplatelet therapy (DAPT); Percutaneous coronary intervention (PCI); ST-elevation myocardial infarction (STEMI)

Year:  2019        PMID: 31296977      PMCID: PMC6599087          DOI: 10.1016/j.jsha.2019.05.005

Source DB:  PubMed          Journal:  J Saudi Heart Assoc        ISSN: 1016-7315


Bleeding Academic Research Consortium Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the ACC/AHA Guidelines dual antiplatelet therapy percutaneous coronary intervention ST-elevation myocardial infarction clopidogrel-dual antiplatelet therapy ticagrelor-dual antiplatelet therapy intra-aortic balloon pump coronary artery bypass grafting acute coronary syndrome Thrombolysis In Myocardial Infarction Global Registry of Acute Cardiac Events re-myocardial infarction receiver operating characteristic area under curve hemaglobin drug-eluting stent

Introduction

Clopidogrel has been the traditional P2Y12 inhibitor of choice, but variability in platelet inhibition and delayed onset of action can result in limited efficacy [1]. Ticagrelor is a newer P2Y12 inhibitor featuring greater potency and more consistent antiplatelet action [2], [3]. These attributes were tested in the Platelet Inhibition and Patient Outcomes (PLATO) RCT in patients with acute coronary syndrome (ACS) managed medically, or revascularized using percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). Patients treated with ticagrelor benefited with improved cardiovascular outcomes, but this was counterbalanced by increased rates of PLATO-defined major (non-CABG related) bleeding [2]. The adverse impact of major bleeding on clinical outcomes underscores the challenge confronting clinicians when selecting a dual antiplatelet therapy (DAPT) regimen for high-risk patients. Based on findings from RCT and registry studies, international guidelines have recommended ticagrelor based DAPT for treatment of patients with ST-elevation MI (STEMI). This has excluded patients receiving thrombolysis and oral anticoagulant therapy [4], although recent trial data suggest ticagrelor may be safe in these settings [5]. Clinical outcome data from some trials have been contradictory regarding efficacy and rates of bleeding for ticagrelor versus clopidogrel in high-risk patient subsets [6]. Patients in RCTs can be highly selected because of rigorous exclusion criteria, and adverse events may be underrepresented. Patients with STEMI represent 25–40% of ACS presentations, with in-hospital mortality ranging from 5% to 15% depending on geographic and patient characteristics [7]. Further insights into bleeding outcomes are needed to help guide DAPT selection in contemporary practice. Moreover, there is a lack of data related to discontinuation and switching between P2Y12 inhibitors in real-world populations. We conducted a single-center registry study of clinical outcomes, including major bleeding, in STEMI patients treated with primary PCI and administered ticagrelor or clopidogrel. The primary aim was to report clinical and PCI factors influencing real-world use of ticagrelor versus clopidogrel in a STEMI population. In addition, we investigated rates of discontinuation and switching between ticagrelor and clopidogrel, relative to patient bleeding risk.

Materials and methods

We performed a single-center, retrospective, observational study of consecutive adult patients (>18 years old) having primary PCI for STEMI at Liverpool Hospital, Sydney, Australia (from January 2013 to April 2016; n = 655). Excluded from the study cohort were patients not receiving primary PCI, those treated medically, having thrombolysis, a contraindication or known intolerance to ticagrelor or clopidogrel, and those administered prasugrel. The study cohort was divided according to DAPT regimen comprising aspirin in combination with ticagrelor or clopidogrel. Patient demographic, clinical, procedural, and outcomes data were primarily retrieved from hospital electronic records, and by telephone follow-up from primary care physicians and treating cardiologists. All patients were treated at Liverpool Hospital, which is a tertiary referral, high-volume PCI center providing a round-the-clock primary PCI for STEMI. State-of-the-art field transmission of the ECG was available to the interventional cardiologist who instituted medical and PCI strategies. All patients received medical pretreatment by first responders according to standard practice guidelines, including administration of aspirin (300 mg oral loading dose and 100–150 mg daily maintenance) and supplemental oxygen as required. Administration of P2Y12 inhibitor occurred on first hospital presentation, typically in consultation with the cardiology team. Patients in the study cohort received either ticagrelor (T-DAPT: 180 mg oral loading dose and 90 mg twice daily maintenance), or clopidogrel (C-DAPT: 600 mg oral loading dose and 75 mg daily maintenance). Selection and duration of DAPT regimen was at the discretion of the treating cardiologist, and this included the prerogative to discontinue or switch between ticagrelor and clopidogrel. An experienced interventional cardiologist performed primary PCI according to established principles and using standard techniques [8]. The recommendation was for all study patients to receive DAPT for at least 1 year, according to the current European and American guidelines [9], [10]. Bleeding risk for the study cohort was calculated using the CRUSADE (Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the American College of Cardiology/American Heart Association Guidelines) bleeding risk score [11], using the sum of weighted scores from clinical and laboratory values on admission (www.crusadebleedingscore.org). The patients were stratified into risk quintiles based on the CRUSADE score: ≤20 (very low), 21–30 (low), 31–40 (moderate), 41–50 (high), and > 50 (very high). The TIMI (thrombolysis in myocardial infarction; www.timi.org) [12] and GRACE (Global Registry of Acute Cardiac Events; www.gracescore.org) [13] risk scores were calculated using the standard variables. Any bleeding was defined as a bleeding complication recorded by the treating cardiologist. Major bleeding was defined as significant, actionable bleeding according to the BARC 3–5 (Bleeding Academic Research Consortium, grade 3–5) standardized bleeding definition [9]. The primary end point was any BARC 3–5 bleeding event, subcategorized as occurring in-hospital, after discharge, or procedure-related. The secondary end point was any major adverse cardiac event (MACE), comprising: all cause death, remyocardial infarction (re-MI), stroke, and BARC 3–5 bleeding, at long-term follow-up. MI and stroke were defined according to universal definitions reported in the literature [14]. The study was conducted in accordance with the principles of the Helsinki Declaration and received Institutional Ethics Review Board approval for quality assurance purposes (QA2008/034). Baseline patient and procedural characteristics are presented as mean ± standard deviation, median (interquartile range), or frequency (%). The normal distribution of continuous variables in the study was determined by Shapiro–Wilks and Kolmogorov–Smirnov tests. Normally distributed continuous variables were compared using Student t test and those with skewed distributions using the Mann–Whitney U-test. Patient groups were compared using Student t test for continuous variables and the chi-square or Fisher’s exact test for categorical variables. The cumulative survival curves were constructed using the Kaplan–Meier method and groups were compared using log rank test. A multivariate binary logistic regression model was constructed to evaluate predictors of DAPT regime selection. A Cox regression analysis was used to identify demographic and clinical factors predicting death and BARC 3–5 bleeding. Variables that were significant at the bivariate level (p < 0.05) and having clinical relevance were included in the multivariable model. Receiver operating characteristic (ROC) curves were analyzed to derive a threshold CRUSADE score predictive of BARC 3–5 bleeding for both DAPT groups, and area under the curve (AUC), sensitivity, and specificity were calculated. With the exception of the Kolmogorov–Smirnov test, all statistical tests were two-tailed and a p value <0.05 was deemed significant. Statistics were calculated using SPSS version 24.0 (SPSS Inc., Chicago, IL, USA).

Results

A total of 655 STEMI patients having primary PCI (using stenting or balloon angioplasty) were analyzed. Demographic and baseline clinical data are reported in Table 1. The median age was 61.1 years and 80% of the participants were male. Overall, T-DAPT (n = 423; 65%) was used more frequently than C-DAPT (n = 232; 35%). Compared to T-DAPT patients, those receiving C-DAPT were older (64.5 years vs. 59.5 years; p < 0.0001), and more likely to have diabetes mellitus (DM; 37.1% vs. 22.8%; p < 0.0001), hypertension (69.4% vs. 54.9%; p < 0.0001), history of angina (34.5 vs. 18.7; p < 0.0001), prior PCI (26.5 vs. 11.6; p < 0.001), and atrial fibrillation (AF; 4.8% vs. 1.9%; p = 0.01). C-DAPT patients were more likely to have cardiogenic shock (18.5% vs. 8.8%; p < 0.0001) and insertion of intra-aortic balloon pump (IABP; 17.2% vs. 6.4%; p < 0.0001). Notably, C-DAPT had comparatively lower median baseline hemoglobin (Hb; 144 vs. 148 g/dL; p < 0.0001) and a more profound median Hb drop (14 g/dL vs. 12 g/dL; p < 0.0001), resulting in a lower median Hb nadir (129 g/dL vs. 135 g/dL; p < 0.0001).
Table 1

Demographic and baseline clinical presentation data based on-treatment DAPT.

Alln = 655Clopidogreln = 232 (35)Ticagrelorn = 423 (65)p Value
Age (yr)61.1 (52.3–70.2)64.5 (56.0–75.5)59.5 (51.3–68.3)<0.0001
Male521 (79.5)177 (76.3)344 (81.3)0.13
BMI (kg/m2)28.1 (24.8–31.5)27.8 (24.8–31.1)28.3 (24.7–32.1)0.28
Body weight <60 kg32 (4.9)14 (6.0)18 (4.3)0.31
Hypertension392 (59.8)161 (69.4)231 (54.9)<0.0001
Dyslipidemia382 (58.3)137 (59.6)245 (58.9)0.87
Smoker289 (44.1)82 (35.7)207 (49.1)0.001
Diabetes mellitus182 (27.8)86 (37.1)96 (22.8)<0.0001
Family history of CAD141 (21.5)42 (18.5)99 (24.0)0.11
History of angina158 (24.1)79 (34.5)79 (18.7)<0.0001
Prior MI135 (20.6)71 (30.7)64 (15.2)<0.0001
Prior PCI110 (16.8)61 (26.5)49 (11.6)<0.0001
Prior CABG26 (4.0)13 (5.7)13 (3.1)0.11
Prior PVD/stroke42 (6.4)18 (7.8)24 (5.7)0.29
Known AF17 (2.6)10 (4.8)7 (1.9)0.01
Closure device153 (23.4)58 (25.0)95 (22.7)0.5
Intra-aortic balloon pump67 (10.2)40 (17.2)27 (6.4)<0.0001
Systolic blood pressure (mmHg)121 (107–139)122 (109–140)120 (105–137)0.04
Heart rate (beats/min)78.0 (64.8–91.3)78.0 (65.3–94.8)78.0 (64.0–90.0)0.17
Cardiogenic shock80 (12.2)43 (18.5)37 (8.8)<0.0001
Prior antiplatelet at admission137 (20.9)74 (32.0)63 (14.9)<0.0001
Cardiac arrest at admission63 (9.6)28 (12.2)35 (8.3)0.12
Killip class ≥3 (%)60 (9.2)35 (15.2)25 (5.9)<0.0001
Creatinine clearance (µmol/L)85 (64.9–108)78 (50.0–99.7)88 (71.0–112)<0.0001
Peak troponin (µg/L)3.42 (1.34–6.96)3.16 (1.20–6.54)3.61 (1.42–7.16)0.7
Baseline hemoglobin (g/dL)147 (135–156)144 (128–155)148 (137–157)<0.0001
Baseline HCT (%)0.43 (0.39–0.46)0.42 (0.38–0.46)0.43 (0.40–0.46)0.008
Nadir hemoglobin (g/dL)132 (114–143)129 (102–140)135 (120–144)0.0001
Nadir HCT (%)0.39 (0.34–0.42)0.38 (0.31–0.40)0.40 (0.35–0.42)0.42
Hemoglobin drop (g/dL)13.0 (6.0–22)14.0 (7.3–27)12.0 (5.0–20)<0.0001
Platelet (g/l)240 (200–280)232 (196–274)240 (200–280)0.63
GRACE score156 ± 40169 ± 46149 ± 34<0.0001
TIMI risk score3.2 ± 2.43.2 ± 2.33.2 ± 2.50.99
CRUSADE total27.3 ± 14.532.2 ± 16.124.6 ± 12.8<0.0001
 ≤20 (very low)231 (35.3)64 (27.6)167 (39.5)
 21–30 (low)188 (28.7)56 (24.1)132 (31.2)
 31–40 (moderate)121 (18.5)40 (17.2)81 (19.1)
 41–50 (high)64 (9.8)36 (15.5)28 (6.6)
 >50 (very high)51 (7.8)36 (15.5)15 (3.5)
Discharge medication
 ACE inhibitor494 (80.9)162 (80.2)332 (81.2)0.77
 Beta blocker565 (92.5)181 (89.6)384 (93.9)0.06
 Statin581 (95.2)189 (94.0)392 (95.8)0.32
 Spironolactone57 (9.4)24 (12.0)33 (8.1)0.13

Values are means ± standard deviation, median (25th, 75th percentile), or n (%).

ACE = angiotensin converting enzyme; AF = atrial fibrillation; BMI = body mass index; CABG = coronary artery bypass grafting; CAD = coronary artery disease; CRUSADE: Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the American College of Cardiology/American Heart Association Guidelines; DAPT = dual antiplatelet therapy; GRACE = Global Registry of Acute Cardiac Events; HCT = hematocrit; IABP = intra-aortic balloon pump; MI = myocardial infarction; PCI = percutaneous coronary intervention; PVD = peripheral vascular disease; TIMI = thrombolysis in myocardial infarction.

Demographic and baseline clinical presentation data based on-treatment DAPT. Values are means ± standard deviation, median (25th, 75th percentile), or n (%). ACE = angiotensin converting enzyme; AF = atrial fibrillation; BMI = body mass index; CABG = coronary artery bypass grafting; CAD = coronary artery disease; CRUSADE: Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the American College of Cardiology/American Heart Association Guidelines; DAPT = dual antiplatelet therapy; GRACE = Global Registry of Acute Cardiac Events; HCT = hematocrit; IABP = intra-aortic balloon pump; MI = myocardial infarction; PCI = percutaneous coronary intervention; PVD = peripheral vascular disease; TIMI = thrombolysis in myocardial infarction. Overall bleeding risk for the study cohort was low, with a mean CRUSADE score of 27.3 ± 14.5. T-DAPT patients had a lower mean CRUSADE score than C-DAPT patients (24.6 vs. 32.2; p < 0.0001). In the CRUSADE very low and low bleeding risk quintiles, T-DAPT was preferred over C-DAPT (39.5% vs. 27.6% and 31.2% vs. 24.1%, respectively). Conversely, in the high and very high bleeding risk quintiles C-DAPT was preferred over T-DAPT (15.5% vs. 6.6% and 15.5% vs. 3.5%, respectively). Procedural and PCI data are reported in Supplementary Table S1. Transradial access was more frequent in T-DAPT patients (30.3% vs. 19.8%; p = 0.004), whereas mean procedural time was longer for the C-DAPT patients. Use of drug-eluting stents (DES) was higher in T-DAPT patients (42.5% vs. 35.7%; p = 0.007); otherwise, stent number, total stent length, and rates of multivessel PCI were not different between groups. PCI procedural success was similarly high for both groups. Bleeding and clinical outcomes data are reported in Table 2. The median follow-up duration was 2.7 (1.9–3.8) years. The rate of BARC 3–5 bleeding was higher for C-DAPT compared to T-DAPT (12.4% vs. 5.0%; p < 0.0001). For both groups, most bleeding events (76–86%) occurred during the index hospitalization and were procedure related (31–43%). Table 2 and Supplementary Fig. S2 show BARC 3–5 bleeding events for C-DAPT versus T-DAPT subgroups, and stratified by CRUSADE quintile scores, respectively. For T-DAPT patients, a higher CRUSADE score corresponded with higher frequency of BARC 3–5 events, although absolute numbers in each quintile were small. A similar trend was observed for C-DAPT patients. All-cause mortality was 9.0%, with proportionately more deaths in C-DAPT versus T-DAPT patients (17.2% vs. 4.5%; p < 0.0001; Supplementary Fig. S1A). Total BARC 3–5 bleeding was 7.6%, with higher rate in C-DAPT versus T-DAPT patients (12.4% vs. 5%; p < 0.0001; Supplementary Fig. S1B). Similarly, the rate of MACE (combined death, re-MI, stroke, and BARC 3–5 bleeding) was higher for the C-DAPT (18% vs. 10.9%; p = 0.003). Independent predictors of all-cause mortality (Supplementary Table S2), analyzed by multivariate Cox regression, were: GRACE score [hazard ratio (HR) = 1.02; 95% CI, 1.02–1.03; p < 0.0001], creatinine clearance (CrCl; HR = 0.98; 95% CI, 0.97–0.99; p = 0.001), and T-DAPT (HR = 0.48; 95% CI, 0.27–0.86; p = 0.001). Multivariate regression analysis showed that independent predictors of BARC 3–5 bleeding, were: IABP (HR = 3.47; 95% CI, 1.51–7.98; p = 0.003) and GRACE score (HR = 1.01; 95% CI, 0.29–1.03; p = 0.04; Supplementary Table S2).
Table 2

Procedural and hospital outcomes based on-treatment DAPT at follow-up 2.7 (1.9–3.8) years.

Alln = 655Clopidogreln = 232 (35)Ticagrelorn = 423 (65)p Value
Any bleeding95 (14.5)38 (16.4)57 (13.5)0.32
BARC 3–550 (7.6)29 (12.4)21 (5)<0.0001
 In-hospital bleeding41 (82)25 (86.2)16 (76.2)
 Post-discharge bleeding9 (18)5 (10)4 (8)
 Procedure related bleeding18 (36)9 (31)9 (42.9)
Recurrent MI33 (5.0)11 (4.8)22 (5.2)0.8
Stroke10 (1.5)4 (1.7)6 (1.4)0.76
Death59 (9.0)40 (17.2)19 (4.5)<0.0001
MACE88 (13.4)42 (18)46 (10.9)0.01

BARC = Bleeding Academic Research Consortium; DAPT = dual antiplatelet therapy; MACE = composite of all cause death; MI = myocardial infarction; re-MI = stroke and BARC 3–5 bleeding.

Procedural and hospital outcomes based on-treatment DAPT at follow-up 2.7 (1.9–3.8) years. BARC = Bleeding Academic Research Consortium; DAPT = dual antiplatelet therapy; MACE = composite of all cause death; MI = myocardial infarction; re-MI = stroke and BARC 3–5 bleeding. In total, 153 (23.3%) patients had a change in DAPT regimen during the index hospitalization (Table 3). Discontinuation of P2Y12 inhibitor (ticagrelor or clopidogrel) occurred rarely (1.7%), with no difference between subgroups. Continuation through to hospital discharge of the initially selected P2Y12 inhibitor was more likely for ticagrelor than clopidogrel (82.5% vs. 65.9%). Patients continuing C-DAPT had higher CRUSADE and GRACE scores compared with patients continuing T-DAPT. Switching of P2Y12 inhibitor during the index hospitalization occurred in 142 (21.7%) patients, with no subgroup difference in CRUSADE or GRACE scores. Switching from C-DAPT to T-DAPT (32.8%) was more common than switching T-DAPT to C-DAPT (15.6%). Clinician discretion accounted for 97.4% of C-DAPT to T-DAPT switching, and 45.5% of T-DAPT to C-DAPT switching. BARC 3–5 bleeding and commencement of oral anticoagulation resulted in T-DAPT to C-DAPT switching in eight (12.1%) and 17 (25.8%) patients, respectively. Multivariate logistic regression modeling (Supplementary Table S2) showed that age [odds ratio (OR) = 0.98, p = 0.04], diabetes (OR = 0.65, p = 0.03), prior PCI (OR = 0.39, p < 0.0001), IABP (OR = 0.47, p = 0.008), and CRUSADE risk score (OR = 0.98, p = 0.005) were independent determinants for C-DAPT selection. Analysis of ROC curves (Fig. 1) indicated optimal CRUSADE score thresholds predictive of BARC 3–5 bleeding for T-DAPT (21.5) and C-DAPT (32.5).
Table 3

Switching data based on initially selected DAPT.

Alln = 655Clopidogreln = 232 (35)Ticagrelorn = 423 (65)p Value
P2Y12 inhibitor use<0.0001
 Discontinuation of P2Y12 Inh11 (1.7)3 (1.3)8 (1.9)
 Continued initial P2Y12 Inh502 (76.6)153 (65.9)349 (82.5)
  CRUSADE score27.26 ± 14.5634.52 ± 15.8424.07 ± 12.79<0.0001
  GRACE score155 ± 39173 ± 43148 ± 35<0.0001
  BARC 3–5 events29 (5.8)17 (11.1)12 (3.4)0.001
 Switching of P2Y12 Inh142 (21.7)76 (32.8)66 (15.6)<0.0001
  Anticoagulation (triple therapy)17 (12)0 (0)17 (25.8)
  Adverse event7 (4.9)2 (2.6)5 (7.6)
  Urgent CABG6 (4.2)0 (0)6 (9.1)
  Clinician preference104 (73.2)74 (97.4)30 (45.5)
  CRUSADE score27.18 ± 14.527.13 ± 15.8727.23 ± 12.910.97
  GRACE score157 ± 40157 ± 48157 ± 300.97
  BARC 3–5 events19 (13.4)8 (10.5)11 (16.7)0.28

CABG = coronary artery bypass grafting; CRUSADE = Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the American College of Cardiology/American Heart Association Guidelines; DAPT = dual antiplatelet therapy; GRACE = Global Registry of Acute Cardiac Events.

Figure 1

Receiver operating characteristic (ROC) analysis showing CRUSADE scores thresholds predicting BARC 3–5 bleeding. AUC = area under the curve; BARC = Bleeding Academic Research Consortium; CRUSADE = Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the American College of Cardiology/American Heart Association Guidelines; DAPT = dual antiplatelet therapy.

Switching data based on initially selected DAPT. CABG = coronary artery bypass grafting; CRUSADE = Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the American College of Cardiology/American Heart Association Guidelines; DAPT = dual antiplatelet therapy; GRACE = Global Registry of Acute Cardiac Events. Receiver operating characteristic (ROC) analysis showing CRUSADE scores thresholds predicting BARC 3–5 bleeding. AUC = area under the curve; BARC = Bleeding Academic Research Consortium; CRUSADE = Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the American College of Cardiology/American Heart Association Guidelines; DAPT = dual antiplatelet therapy.

Discussion

This retrospective study of STEMI patients having primary PCI has yielded several key findings relating to DAPT treatment using ticagrelor versus clopidogrel. Notably, T-DAPT was preferentially administered to patients at lower risk of bleeding and adverse cardiac events, evidenced by lower CRUSADE and GRACE risk scores, respectively. Thus, bleeding mitigation appeared to be a priority when selecting the DAPT regimen. Patients given T-DAPT recorded fewer BARC 3–5 bleeding events and had a lower rate of all-cause death at 2.7 (1.9–3.8) years follow-up. GRACE score, renal insufficiency, and C-DAPT were independent predictors of mortality, whereas GRACE score and IABP insertion were predictive of BARC 3–5 bleeding. For most patients, the P2Y12 inhibitor initially selected was continued through to hospital discharge. Switching from C-DAPT to T-DAPT (32.8%) was less than expected and suggests there may be undertreatment of ischemia risk in some STEMI patients who persisted on C-DAPT in spite of low CRUSADE risk scores. The PLATO trial showed superior efficacy in ACS patients for ticagrelor compared to clopidogrel, regardless of whether PCI or medical therapy was planned. However, the rate of PLATO-defined major (non-CABG related) bleeding was higher for ticagrelor (4.5% vs. 3.8%, p = 0.03) [2], [15]. The Prevention of Cardiovascular Events in Patients with Prior Heart Attack Using Ticagrelor Compared to Placebo on a Background of Aspirin-Thrombolysis In Myocardial Infarction (PEGASUS-TIMI) 54 trial showed favorable clinical outcomes for longer-term use of ticagrelor, but there was more major (nonfatal) bleeding compared to placebo (2.6% vs. 1.06%, p < 0.001) [16]. The PHILO trial investigated an Asian cohort and the incidence of major (life-threatening or actionable) bleeding was higher for ticagrelor compared with clopidogrel (10.3% vs. 6.8%) [17]. Registry data are crucial to guide DAPT optimization in real-world populations. The SWEDEHEART (Swedish Web System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies) registry is the largest observational study of ticagrelor in ACS patients, and findings generally support the PLATO data. However, in SWEDEHEART, ticagrelor patients had more procedure related bleeding (OR = 1.57; 95% CI, 1.30–1.90) [18]. The Korea Acute Myocardial Infarction Registry (KAMIR) - National Institutes of Health (NIH) registry of Korean ACS patients having PCI showed no difference in efficacy between ticagrelor and clopidogrel (3.7% vs. 4.2%, p = 0.637), but ticagrelor was associated with higher rates of in-hospital bleeding (2.6% vs. 1.2%, p = 0.008) [6]. The adverse impact of bleeding could potentially negate the benefits of DAPT [19], [20]. Indeed, PLATO subgroup analysis showed that significant bleeding, regardless of the definition used, was associated with a marked increase in short-term mortality [21]. Variation in bleeding definitions across RCT and registry studies may affect reporting of outcomes [2], [22]. Furthermore, trial heterogeneity in ACS subtype and treatment strategy may have impacted bleeding rates [2]. Trials from Korea and Japan report a lower incidence of ischemia-related adverse outcomes compared with Western registry data, suggesting that ethnic anthropometric polymorphisms may impact bleeding through altered responsiveness to P2Y12 inhibition [23], [24], [25]. A recent meta-analysis of nine DAPT trials indicated that patients taking ticagrelor had lower rates of adverse events (OR = 0.88; 95% CI, 0.81–0.95) [26]. This is consistent with our finding that T-DAPT patients had less MACE (10.9% vs. 18%, p = 0.003) and reduced all-cause mortality (HR = 0.48; p = 0.001). The overall rate of BARC 3–5 major bleeding for our study cohort was low (7.6%), and T-DAPT patients had fewer major bleeds (5% vs. 12.4%, p < 0.0001). Primary PCI for treatment of STEMI is performed in an emergency setting, and this may increase periprocedural bleeding complications. Our in-hospital (mostly periprocedural) bleeding rate was low despite 30% use of a GpIIbIIIa antagonist, and this may be partly explained by increasing transradial access (27%). Use of transfemoral arterial access to accommodate larger catheters may predispose to bleeding [27]. C-DAPT patients underwent PCI of longer duration, implying greater procedural complexity, and were more likely to have transfemoral IABP insertion, which was most strongly associated with BARC 3–5 bleeding (HR = 3.47; p = 0.003). T-DAPT patients had more transradial access, which has been associated with less bleeding, and lower all-cause mortality [28], [29]. Finding the right balance between thrombotic prophylaxis and minimizing bleeding remains challenging, and this may account for use of less potent antiplatelet therapy in higher-risk patients. Following PLATO and guideline recommendations [30], [31], our facility implemented a policy in late 2012 favoring ticagrelor for treatment of ACS patients. Our use of T-DAPT (65%) was higher than that reported in SWEDEHEART (44%) [32] but less than that in Change of Dual Antiplatelet Therapy in Patients With Acute Coronary Syndrome (CHANGE-DAPT) (85%) [33]. The timeline of T-DAPT uptake at our facility was comparable with that in SWEDEHEART, and predates the CHANGE-DAPT registry by about 2 years. We speculate that the later uptake of ticagrelor in CHANGE-DAPT may have enhanced the frequency of use because of diminished concerns regarding bleeding. The CRUSADE bleeding risk score was first validated in non-ST-elevation MI (NSTEMI) patients [34], and later in DAPT-treated STEMI patients, to predict bleeding outcomes to 1 year [35], [36]. In the current study, patients receiving T-DAPT had a lower CRUSADE risk score compared to those receiving C-DAPT (24.6 vs. 32.2), which concurs well with CRUSADE scores reported previously for STEMI patients (range, 23–27) [37]. Of note, C-DAPT was more prevalent in the high and very high risk quintiles, and in patients with adverse demographic and clinical characteristics: older age, DM, AF, and known cardiovascular disease. Indeed, DAPT selection was independently associated with older age, prior PCI, DM, and CRUSADE risk score (Supplementary Table 2). The initial administration of clopidogrel to patients deemed at higher risk of bleeding suggests that bleeding mitigation is a priority for clinicians. Notably, C-DAPT patients also had higher GRACE risk scores, which is consistent with previous reports [38]. There was no difference in CRUSADE and GRACE scores (27 and 157, respectively) for switching subgroups, which indicates that some patients at moderate risk of bleeding and recurrent cardiac events had DAPT switching. We interpret these data to suggest that persisting with clopidogrel, in lieu of ticagrelor, may have resulted in undertreatment of ischemia risk for some C-DAPT patients. Discontinuation and switching of DAPT regimen is a feature of real-world practice, yet it is rarely studied. Convalescing STEMI patients are vulnerable to MACE; therefore, we analyzed changes of P2Y12 inhibitor occurring during the index hospitalization. Reported discontinuation rates for ticagrelor vary considerably, from 0.9% in the PLATO trial to 14.3% in a retrospective cohort study [2], [16], [39]. In our study, discontinuation of P2Y12 inhibitor occurred rarely (1.7%) in accordance with guideline recommendations [4]. Typically, the initial DAPT regimen was continued through to hospital discharge. This may be desirable in patients who continued on T-DAPT (82.5%), but indicates potential undertreatment in some patients who persisted on C-DAPT (65%). Clinician discretion was the dominant reason for switching C-DAPT to T-DAPT, which reflects our strategy of DAPT optimisation using ticagrelor. There is some evidence that clinicians are willing to switch high bleeding risk patients to ticagrelor [38]. We recorded only five cases of ticagrelor-related dyspnea or bradycardia necessitating switching, which should encourage compliance. Therefore, it may be reasonable to target factors influencing clinician prescribing when formulating strategies to optimize DAPT. At our center the availability of ticagrelor to first responders is limited, and clopidogrel may be preferred in acute STEMI [33] because of unknown patient bleeding risk. Although upstream administration of ticagrelor has been shown to not enhance efficacy [40], facilitating early availability may increase the initial allocation of T-DAPT in appropriate patients. In the CHANGE-DAPT trial, patients switching to ticagrelor showed no benefit in ischemic end points but incurred more major bleeds [33]. This is similar to the Timing of Platelet Inhibition After Acute Coronary Syndrome (TOPIC) trial, where patients taking a potent P2Y12 inhibitor (ticagrelor or prasugrel) had higher rates of major bleeding compared to those switched to clopidogrel (14.9% vs. 4%; p < 0.01) [41]. These bleeding rates are comparable to those for switching subgroups in our study (10.5–16.7%), which was not powered to measure longer-term ischemic outcomes. We analyzed ROC curves (Fig. 1) to derive optimal CRUSADE score thresholds for BARC 3–5 bleeding for C-DAPT (32.5) and T-DAPT (21.5). Further studies are necessary, but better delineation of CRUSADE score thresholds for bleeding may help identify C-DAPT patients suitable for switching to T-DAPT. This observational study yields insights into contemporary use of ticagrelor and clopidogrel in real-world high risk patients, but is prone to several limitations. Inherent to the study design, patients were not randomized and this would have introduced selection bias. Therefore, it is not possible to determine clinical superiority for a DAPT regimen without a randomized comparison of treatment groups. Study power is limited by sample size, although this is among the largest registry cohort analyses of ticagrelor versus clopidogrel in Australasia. Data relating to post-discharge changes to DAPT regimen are not available because of the retrospective nature of data acquisition. Nevertheless, each patient was recommended to continue DAPT for a minimum of 12 months after STEMI, in keeping with the current guidelines. The use of transradial access was lower than current standards, but this access route was less prevalent during the early phase of the study. Bleeding severity was determined retrospectively and is likely subject to adjudication error. However, the BARC criteria have been designed to obviate multiple bleeding definitions, and are now favored in contemporary studies [9], [42]. Underreporting of data may occur in observational analysis and this may have led to a type II error, as in other registry studies.

Conclusion

This retrospective, single-center registry analysis suggests that bleeding mitigation is a priority for clinicians selecting DAPT for STEMI patients having PCI. Patients deemed at lower risk of bleeding received the more potent P2Y12 inhibitor ticagrelor, whereas those at higher risk of bleeding and having more complex PCI received clopidogrel. This may have influenced clinical outcomes as T-DAPT patients recorded fewer BARC 3–5 major bleeding events and less all-cause mortality. Continuation of the initially selected P2Y12 inhibitor was most common, although switching of clopidogrel to ticagrelor indicates clinician willingness to optimize DAPT. For T-DAPT and C-DAPT patients, CRUSADE scores corresponding to low risk (<21.5) and moderate risk (<32.5), respectively, were associated with low BARC 3–5 bleeding events. Further studies are warranted to determine how best to optimize DAPT based on individual appraisal of bleeding and ischemia risk.

Conflicts of interest

All authors declare that they have no conflicts of interest.
  42 in total

1.  Prospective validation of the Bleeding Academic Research Consortium classification in the all-comer PRODIGY trial.

Authors:  Pascal Vranckx; Sergio Leonardi; Matteo Tebaldi; Simone Biscaglia; Giovanni Parrinello; Sunil V Rao; Roxana Mehran; Marco Valgimigli
Journal:  Eur Heart J       Date:  2014-04-21       Impact factor: 29.983

2.  Contemporary use of ticagrelor in patients with acute coronary syndrome: insights from Swedish Web System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART).

Authors:  Anders Sahlén; Christoph Varenhorst; Bo Lagerqvist; Henrik Renlund; Lars Wallentin; Stefan K James; Tomas Jernberg
Journal:  Eur Heart J Cardiovasc Pharmacother       Date:  2015-08-28

3.  Ticagrelor in the Real World: The Midland Regional Cardiac Network Experience.

Authors:  Marcus Lee; Sarah A Green; Tina Cherian; Gerard Devlin
Journal:  N Z Med J       Date:  2015-11-20

4.  Effect of race and ethnicity on outcomes with drug-eluting and bare metal stents: results in 423 965 patients in the linked National Cardiovascular Data Registry and centers for Medicare & Medicaid services payer databases.

Authors:  Robert S Kumar; Pamela S Douglas; Eric D Peterson; Kevin J Anstrom; David Dai; J Matthew Brennan; Peter Y M Hui; Michael E Booth; John C Messenger; Richard E Shaw
Journal:  Circulation       Date:  2013-04-02       Impact factor: 29.690

5.  Ticagrelor versus clopidogrel in patients with acute coronary syndromes.

Authors:  Lars Wallentin; Richard C Becker; Andrzej Budaj; Christopher P Cannon; Håkan Emanuelsson; Claes Held; Jay Horrow; Steen Husted; Stefan James; Hugo Katus; Kenneth W Mahaffey; Benjamin M Scirica; Allan Skene; Philippe Gabriel Steg; Robert F Storey; Robert A Harrington; Anneli Freij; Mona Thorsén
Journal:  N Engl J Med       Date:  2009-08-30       Impact factor: 91.245

6.  Antiplatelet therapy and stent thrombosis after sirolimus-eluting stent implantation.

Authors:  Takeshi Kimura; Takeshi Morimoto; Yoshihisa Nakagawa; Toshihiro Tamura; Kazushige Kadota; Hitoshi Yasumoto; Hideo Nishikawa; Yoshikazu Hiasa; Toshiya Muramatsu; Taiichiro Meguro; Naoto Inoue; Hidehiko Honda; Yasuhiko Hayashi; Shunichi Miyazaki; Shigeru Oshima; Takashi Honda; Nobuo Shiode; Masanobu Namura; Takahito Sone; Masakiyo Nobuyoshi; Toru Kita; Kazuaki Mitsudo
Journal:  Circulation       Date:  2009-02-09       Impact factor: 29.690

7.  A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge death in an international registry.

Authors:  Kim A Eagle; Michael J Lim; Omar H Dabbous; Karen S Pieper; Robert J Goldberg; Frans Van de Werf; Shaun G Goodman; Christopher B Granger; P Gabriel Steg; Joel M Gore; Andrzej Budaj; Alvaro Avezum; Marcus D Flather; Keith A A Fox
Journal:  JAMA       Date:  2004-06-09       Impact factor: 56.272

8.  Clopidogrel or ticagrelor in acute coronary syndrome patients treated with newer-generation drug-eluting stents: CHANGE DAPT.

Authors:  Paolo Zocca; Liefke C van der Heijden; Marlies M Kok; Marije M Löwik; Marc Hartmann; Martin G Stoel; J W Louwerenburg; Frits H A F de Man; Gerard C M Linssen; Iris L Knottnerus; Carine J M Doggen; K Gert van Houwelingen; Clemens von Birgelen
Journal:  EuroIntervention       Date:  2017-11-20       Impact factor: 6.534

9.  CRUSADE bleeding score as a predictor of bleeding events in patients with acute coronary syndrome in Zagazig University Hospital.

Authors:  Mohamed M Al-Daydamony; El-Sayed M Farag
Journal:  Indian Heart J       Date:  2016-03-22

10.  Ticagrelor versus clopidogrel in real-world patients with ST elevation myocardial infarction: 1-year results by propensity score analysis.

Authors:  Matteo Vercellino; Federico Ariel Sànchez; Valentina Boasi; Dino Perri; Chiara Tacchi; Gioel Gabrio Secco; Stefano Cattunar; Gianfranco Pistis; Giovanni Mascelli
Journal:  BMC Cardiovasc Disord       Date:  2017-04-05       Impact factor: 2.298

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