Literature DB >> 29869460

Randomized Comparison of Strut Coverage between Ticagrelor and Clopidogrel in Acute Myocardial Infarction at 3-Month Optical Coherence Tomography.

Choongki Kim1, Byeong Keuk Kim1,2, Sung Jin Hong1, Chul Min Ahn1,3, Jung Sun Kim1,3, Young Guk Ko1,3, Donghoon Choi1,3, Myeong Ki Hong1,3,4, Yangsoo Jang1,3,4.   

Abstract

PURPOSE: This study aimed to compare the effects of ticagrelor and clopidogrel on early neointimal healing assessed with optical coherence tomography (OCT) after drug-eluting stent (DES) implantation in patients with acute myocardial infarction (AMI).
MATERIALS AND METHODS: AMI patients were randomly assigned to either the ticagrelor or clopidogrel arm. After DES implantation, OCT was performed to assess the percentages of uncovered struts immediately after procedure and 3 months later.
RESULTS: Due to early termination, 83 patients out of 106 initially enrolled patients (24% of planned participants) underwent 3-month OCT. Differences in vascular healing patterns between the two groups, including percentage of uncovered struts on 3-month OCT (9.6% vs. 11.7% in ticagrelor vs. clopidogrel, respectively; p=0.867), neointimal thickness, percentage of malapposed struts, and healing scores did not reach statistical significance. The predictors of uncovered strut on 3-month OCT included greater reference vessel diameter [odds ratio (OR)=1.96, p<0.001] and more malapposed struts (OR=1.12, p=0.003).
CONCLUSION: The current study did not explore favorable effect of ticagrelor on 3-month vascular healing after DES implantation. Our findings should only be considered for generating hypothesis, due to insufficient power. © Copyright: Yonsei University College of Medicine 2018.

Entities:  

Keywords:  Neointima; clopidogrel; myocardial infarction; optical coherence; ticagrelor; tomography

Mesh:

Substances:

Year:  2018        PMID: 29869460      PMCID: PMC5990671          DOI: 10.3349/ymj.2018.59.5.624

Source DB:  PubMed          Journal:  Yonsei Med J        ISSN: 0513-5796            Impact factor:   2.759


INTRODUCTION

Ticagrelor, a rapid-onset, direct-acting P2Y12 receptor antagonist, demonstrated superior short- and long-term clinical outcomes over clopidogrel in large clinical trials.12 In addition to antagonizing P2Y12 receptor, ticagrelor has been reported to block adenosine receptor in patients with acute myocardial infarction (AMI) and increase endothelial progenitor cell numbers, which may contribute to endothelial regeneration.34 However, it is still unknown if ticagrelor accelerates neointimal healing at an early period after percutaneous coronary intervention (PCI) in patients with AMI. Therefore, we sought to compare the effect of ticagrelor and clopidogrel on strut coverage at 3 months after drug-eluting stent (DES) implantation in patients with AMI, using optical coherence tomography (OCT).

MATERIALS AND METHODS

Study population

This study was designed as a prospective, open-label, randomised controlled trial (NCT02037412). Patients (aged 20–80 years) with AMI who were undergoing early invasive strategy were eligible for this study. Exclusion criteria were as follows: 1) any contraindication to ticagrelor or clopidogrel, 2) cardiogenic shock, 3) PCI without stent implantation, 4) anemia or thrombocytopenia, 5) oral anticoagulation therapy, 6) pregnancy or potential for childbearing in women, and 7) life expectancy of <12 months. Study protocol was separately approved by the Institutional Review Board of each participating institute (IRB No. 4-2013-0764), and all patients signed a written informed consent form.

Randomization and procedures

Eligible patients were randomly assigned in a 1:1 ratio to receive either ticagrelor or clopidogrel, using an interactive webbased response system with a permuted block randomisation method. The patients received aspirin (300 mg as a loading dose or 100 mg if previously administered) and a loading dose of the study drug (180 mg of ticagrelor or 300 to 600 mg of clopidogrel) before PCI. All patients with ST-elevation AMI underwent primary PCI. For revascularisation of culprit lesions, only thin-strut biodegradable polymer sirolimus-eluting stent (Orsiro; Biotronik AG, Bülach, Switzerland) was allowed. Operator was able to use OCT imaging before or after stent implantation, if clinically needed. Operator evaluated OCT findings during the procedure, and decided to use further adjuvant ballooning for stent optimization. Final OCT (post-procedural) was performed at the treated culprit before completing the procedure. Patients took aspirin and study drug as allocated without cross-over during the study period, and underwent 3-month follow-up OCT.

Endpoints

Primary endpoint was the percentage of uncovered struts on 3-month OCT. Secondary endpoints were neointimal thickness and increased malapposition on 3-month OCT.

OCT imaging and analysis

OCT images were acquired by a frequency-domain OCT system (C7-XR™ OCT imaging system; LightLab Imaging Inc., St. Jude Medical, St. Paul, MN, USA). OCT images were recorded at 100 frames/s, while catheter was pulled back at 20 mm/s within stationary imaging sheath. Acquired imaging data were analyzed with certified offline software (QIvus; Medis Medical Imaging System, Leiden, the Netherlands) at a core laboratory (Cardiovascular Research Center, Seoul, Korea) by independent analysts who were blinded to patient and procedural information. Contiguous cross-sectional images were quantitatively measured in 1-mm intervals along the entire stented segment. Stent and luminal cross-sectional areas (CSAs) were measured. Neointimal CSA was calculated as stent CSA minus lumen CSA. An uncovered strut was defined as having a neointimal thickness of 0 µm.56 Neointimal thickness was measured as the distance between endoluminal surface of neointima and strut. A malapposed strut was defined as a strut that had detached from the vessel wall by ≥90 µm (110 µm for stents ≥3.5 mm in diameter).78 Malapposed stent was further classified into persistent, resolved, and late-acquired by matching the OCT images obtained at post-procedure and 3-month follow-up.6 To comprehensively evaluate vascular responses, we adopted the definition of healing score as the weighted index based on OCT findings related to stent characteristics; a high score reflected higher incidence of uncovered or malapposed struts.9

Quantitative coronary angiography analysis

Quantitative coronary angiography analysis was performed before and after PCI and at 3 months, using an offline computerized quantitative coronary angiographic system (CASS system; Pie Medical Instruments, Maastricht, the Netherlands) in an independent core laboratory (Cardiovascular Research Center, Seoul, Korea). Minimal lumen diameter and reference diameters of coronary lesions were measured in view with the narrowest lumen and the least amount of foreshortening, in comparison to the diameter of guidance catheter from diastolic frames in a single, matched view.

Statistical analysis

We assumed that the mean percentage of uncovered struts on 3-month OCT was 6.2% in the control group with AMI (standard deviation, 6.9%) based on our previous OCT study10, and hypothesized that the use of ticagrelor might achieve further improvement to 2% uncovered struts when compared with clopidogrel. We considered a total of 444 subjects to be sufficient to demonstrate the superior strut coverage of ticagrelor considering a 15% dropout rate (80% power at 5% significance level). Categorical data were expressed as number (%), and analyzed with χ2 statistics or Fisher's exact test. Continuous variables were expressed as mean±standard deviation or median (interquartile range), and were compared using Student's t-test or Mann-Whitney test. Considering the clustered nature of data, a generalized linear mixed model was applied for strutlevel and cross-section-level analysis while comparing the two study drugs with a patient indicator (patient and cross-section for strut level; patient for cross-section level) as a random effect and the study drug as a fixed effect. To determine the predictors for uncovered struts, strut-level analysis was applied using each clinical, quantitative coronary angiography-derived, and OCT-derived variable as a fixed effect. For modeling with multiple fixed effects, all variables having fixed effect with a p-value of <0.10, and ticagrelor use were entered into the model. In backward elimination manner, we sequentially deleted one non-significant interaction with the largest p-value at a time to obtain a parsimonious final model. A generalized linear model was also used to determine the predictors of increased malapposition between post-procedure and 3-month follow-up. To assess the reproducibility of measuring uncovered and malapposed struts, 50 cross-sections (504 struts) were randomly chosen at follow-up OCT. Inter- and intra-observer variabilities in OCT measurements of distance and area were previously reported.11 All statistical analyses were performed with R Statistical Software (version 3.3.2; R Foundation for Statistical Computing, Vienna, Austria). P-value <0.05 was considered statistically significant.

RESULTS

After a 2-year recruitment period, investigators and data safety monitoring board agreed to terminate the study before achieving target recruitment due to the following reasons: 1) slower patient enrollment than expected, 2) recently updated guidelines recommending the preferential use of ticagrelor in AMI patients, 3) evidence to ensure consistently favorable effects in Asian patients with ticagrelor12, and 4) overwhelming use of ticagrelor for AMI patients in Korea.13 Between March 2014 and March 2016, a total of 106 patients who met the study criteria underwent PCI. A detailed explanation of study flow is provided in Fig. 1. All lesions were treated with Orsiro stent as planned. Both groups were well-matched for clinical, angiographic, procedural characteristics (Table 1), and postprocedural OCT findings (Table 2).
Fig. 1

Study design and flow of patient inclusion. AMI, acute myocardial infarction; PCI, percutaneous coronary intervention; OCT, optical coherence tomography.

Table 1

Baseline Clinical and Treatment Characteristics

VariablesTicagrelor (n=43)Clopidogrel (n=40)p value
Age (yr)60±2462±120.448
Male35 (81)34 (85)0.885
DM7 (16)6 (15)>0.999
Hypertension21 (49)18 (45)0.897
Dyslipidaemia26 (60)18 (45)0.234
Renal insufficiency0 (0)1 (3)0.971
Current smoker21 (49)18 (45)0.897
Prior MI0 (0)0 (0)>0.999
Admission via emergency room39 (91)37 (93)>0.999
Clinical diagnosis0.583
 Non-ST elevation MI13 (30)9 (22)
 ST elevation MI30 (70)31 (78)
Left ventricular ejection fraction (%)48±1048±100.889
Coronary intervention within 24 hours after hospital visit41 (95)36 (90)0.606
Culprit lesion, left anterior descending artery26 (60)21 (53)0.739
Thrombolysis in myocardial infarction flow 0 or 1 on initial angiogram24 (56)18 (45)0.444
Intracoronary thrombus24 (56)25 (63)0.692
Quantitative coronary angiography
 Pre-procedure
  Reference vessel diameter (mm)3.1±0.53.2±0.60.407
  Lesion length (mm)17 (14–22)19 (15–26)0.209
 Post-procedure
  Minimal lumen diameter (mm)2.8±0.42.8±0.40.570
  Acute gain (mm)2.4±0.62.3±0.60.174
Stent diameter (mm)3.0 (3.0–3.5)3.3 (3.0–3.5)0.387
Stent length (mm)18 (18–24)22 (18–30)0.100
Stent inflation pressure (atm)8 (8–12)8 (8–10)0.125
Aspiration thrombectomy21 (49)17 (43)0.720
Adjunctive post-dilatation15 (35)13 (33)>0.999
Post-dilatation balloon diameter, (mm)3.5 (3.0–3.5)3.5 (3.0–3.5)0.483
Maximal post-dilatation pressure (atm)16 (10–16)12 (10–16)0.604
Use of intra-aortic balloon pump0 (0)2 (5)0.442
Use of glycoprotein IIb/IIIa inhibitors2 (5)4 (10)0.606
No reflow after stenting0 (0)1 (3)0.971
Medication at discharge
 Aspirin43 (100)40 (100)>0.999
 Statins43 (100)40 (100)>0.999
 Beta-blockers33 (77)34 (85)0.500
 Angiotensin-converting enzyme or angiotensin II receptor blocker34 (79)28 (70)0.486
Medication at 3-month follow-up*
 Ticagrelor43 (100)--
 Clopidogrel-40 (100)-
 Statins43 (100)40 (100)>0.999
 Beta-blockers31 (72)32 (80)0.559
 Angiotensin-converting enzyme or angiotensin II receptor blocker28 (65)26 (65)>0.999

DM, diabetes mellitus; MI, myocardial infarction.

Values are n (%), mean±standard deviation, or median (interquartile range).

*Values were obtained among patients undergoing 3-month optical coherence tomography.

Table 2

Post-Procedural Optical Coherence Tomography Characteristics

VariablesTicagrelor (n=43)Clopidogrel (n=40)p value
Total number of cross sections882911
Total number of analysable struts95199604
Mean stent CSA (mm2)7.2±1.77.9±2.40.128
Minimal stent CSA (mm2)5.7 (5.0–6.8)5.9 (5.0–7.7)0.266
Percentage of malapposed struts (%)3.0 (0.5–5.5)2.3 (0.0–6.0)0.832
Percentage of cross sections with any malapposed strut (%)13.3 (5.4–22.9)10.8 (0.0–25.8)0.790
Malapposed stent (%)33 (77)29 (73)0.848
Total malapposed volume (mm3)3.9 (2.2–5.8)3.3 (1.5–7.7)0.985
Maximal malapposed CSA (mm2)0.6 (0.4–1.1)0.6 (0.3–1.5)0.760
Maximal length of segments with malapposed struts (mm)2.0 (1.0–3.0)1.0 (0.0–4.0)0.956
Plaque protrusion (%)34 (79)35 (88)0.464
Intraluminal thrombi (%)9 (21)16 (40)0.098
Edge dissection (%)9 (21)8 (20)>0.999

CSA, cross-sectional area.

Values are n (%), mean±standard deviation, or median (interquartile range).

Three-month follow-up OCT

Difference in the percentages of uncovered struts between ticagrelor (9.6%) and clopidogrel groups (11.7%) did not reach statistical significance (p=0.867). There were no significant differences between groups in neointimal thickness, percentages of malapposed struts, or occurrence of late-acquired malapposition. Other levels of analyses showed no significant differences between groups (Table 3, Fig. 2). Furthermore, healing scores did not differ between the two groups (Fig. 3). Inter- and intra-observer variabilities were 0.970 and 0.990 for evaluation of uncovered struts, and 0.990 and 0.990 for malapposed struts, respectively.
Table 3

OCT Characteristics at 3 Months

VariablesVariablesClopidogrelp value
Number of patients followed4340-
Duration between baseline and follow-up OCT (days)99±10100±100.675
Strut-level analysis
 Total number of analysable struts97309895
 Percentage of uncovered struts (%)9.6 (5.8–20.4)11.7 (3.7–20.1)0.867
 Neointimal thickness (μm)51 (34–61)48 (35–61)0.885
 Percentage of malapposed struts (%)1.2 (0.0–3.7)1.0 (0.0–2.5)0.771
Cross-section-level analysis
 Total number of cross sections851872
 Mean lumen CSA (mm2)7.3 (5.8–8.1)7.3 (5.8–9.0)0.097
 Mean stent CSA (mm2)7.5 (6.2–8.5)7.7 (6.2–9.4)0.081
 Mean neointimal CSA (mm2)0.3 (0.1–0.5)0.3 (0.1–0.5)0.325
 Percentage of neointimal CSA (%)3.7 (1.4–6.8)3.9 (1.7–7.2)0.655
 Cross-sections with any uncovered strut (%)56 (38–76)57 (33–77)0.907
 Cross-sections with a ratio of uncovered to total struts >0.3 (%)7.4 (0.0–32.5)11.8 (0.0–34.3)0.957
 Cross-sections with any malapposed strut (%)12 (0–28)10 (0–23)0.779
Stent-level analysis
 Uncovered stent42 (98)40 (100)>0.999
 Malapposed stent0.472
  Persistent28 (65)22 (55)
  Resolved5 (12)7 (18)
  Late-acquired2 (5)5 (13)
 Minimal stent CSA (mm2)6.2 (5.0–7.1)6.4 (5.3–8.1)0.272
 Intrastent thrombi0 (0)0 (0)>0.999
 Total malapposed volume (mm3)2.4 (0.9–5.4)1.9 (0.5–4.8)0.645
 Maximal malapposed CSA (mm2)0.6 (0.4–1.2)0.5 (0.3–1.2)0.402
 Maximal length of segment with malapposed struts (mm)2 (0–4)1 (0–3)0.419

CSA, cross-sectional area; OCT, optical coherence tomography.

Values are n (%), mean±standard deviation, or median (interquartile range).

Fig. 2

Comparisons of strut coverage between ticagrelor and clopidogrel: (A) uncovered strut, (B) neointimal thickness, (C) cross-sections with uncovered strut, and (D) cross-sections with uncovered strut >3. Thick lines within boxes represent median value; upper and lower margins of boxes represent 25th and 75th percentiles, respectively; and upper and lower bars represent 90th and 10th percentiles, respectively.

Fig. 3

Cumulative distribution of optical coherence tomography healing scores. IQR, interquartile range.

Factors affecting 3-month strut coverage

Including the use of ticagrelor and angiographic covariates as fixed effects into model 1, only reference vessel diameter was identified as a significant predictor of strut coverage. Further modeling with OCT-derived variables, model 2 determined the final independent predictors including reference vessel diameter [odds ratio (OR) 1.96, 95% confidence interval (CI) 1.43–2.68, p<0.001] and percentage of malapposed struts (OR 1.12, 95% CI 1.04–1.22, p=0.003) (Table 4). However, there were no significant clinical variables, including the use of ticagrelor, affecting strut coverage on 3-month OCT. Lesions were divided into four groups based on the median values of two significant predictors (reference vessel diameter, 3.02 mm; percentage of malapposed struts, 1.86%), and strut coverage was compared. Lesions with greater vessel diameter and more malapposition showed the highest rate of uncovered struts compared with other lesions (Fig. 4).
Table 4

Predictors for Uncovered Strut at 3 Months

VariablesSimple modelModel 1Model 2
OR (95% CI)p valueOR (95% CI)p valueOR (95% CI)p value
Clinical variables
 Age, per 10 years1.10 (0.86–1.41)0.453
 DM1.43 (0.65–3.15)0.380
 ST-elevation MI0.75 (0.39–1.45)0.393
 Use of ticagrelor1.05 (0.59–1.88)0.8671.13 (0.66–1.93)0.6531.14 (0.67–1.94)0.639
Angiographic variables
 Reference vessel diameter, per 1 mm2.14 (1.57–2.92)<0.0012.15 (1.58–2.93)<0.0011.96 (1.43–2.68)<0.001
 Stent diameter, per 1 mm1.88 (0.93–3.81)0.077-*-*-*-*
 Acute gain, per 1 mm1.59 (0.99–2.54)0.056-*-*-*-*
 Thrombus on initial angiography1.84 (0.94–3.61)0.077-*-*-*-*
OCT-derived variables
 Intraluminal thrombus1.71 (0.94–3.23)0.079-*-*
 Mean stent CSA, per 1 mm21.13 (1.03–1.24)0.009-*-*
 Percentage of malapposed strut, per 10%1.17 (1.08–1.26)<0.0011.12 (1.04–1.22)0.003

CI, confidence interval; OR, odds ratio; DM, diabetes mellitus; MI, myocardial infarction; OCT, optical coherence tomography; CSA, cross-sectional area.

*Backward elimination was used to conduct a parsimonious final model.

Fig. 4

Stent coverage and procedural predictors. Thick lines within boxes represent median value; upper and lower margins of boxes represent 25th and 75th percentiles, respectively; and upper and lower bars represent 90th and 10th percentiles, respectively.

On serial OCT, percentage of malapposed struts was increased in 30 lesions (36%). Significant factors for increasing malapposition were total occlusion on initial angiogram (adjusted OR 3.21, 95% CI 1.21–8.98, p=0.021) and thrombus visualized on post-procedural OCT (adjusted OR 2.98, 95% CI 1.07–8.68, p=0.040). Percentage of uncovered struts in the lesions with increased malapposition was significantly higher than that in the lesions with reduced malapposition or nonmalapposition (median, 17.6% vs. 7.6%; p<0.001).

DISCUSSION

The current study was the first human trial comparing the effect of ticagrelor and clopidogrel on early strut coverage after DES implantation in patients with AMI. However, the present OCT study was terminated early (24% of planned participants enrolled), and underpowered to assess the superior effect of ticagrelor over clopidogrel on 3-month vascular healing in AMI patients; there were no significant differences in percentage of uncovered struts, neointimal thickness, or healing scores on 3-month OCT between groups. Previous studies demonstrated beneficial effects of ticagrelor on vascular healing. Ticagrelor is known to increase the number of endothelial progenitor cells in patients with acute coronary syndrome.4 It may offer some benefit for the regeneration of endothelial cells, which modulate the reconstruction of neointima.14 In vivo study demonstrated a correlation between accelerated re-endothelialization and inhibition of neointimal formation after balloon injury.15 Ticagrelor was reported to inhibit deleterious neointimal growth after vascular injury in the mouse16 and rabbit carotid models.17 However, the effect of ticagrelor on early phase of vascular healing still requires further investigation. OCT-defined strut coverage has been widely used as a surrogate indicator for vascular healing after stent implantation.1819 However, the process of vascular healing includes inflammation, cellular proliferation, and extracellular matrix deposition,20 which may not be differentiated with current OCT methods. Thin-layered fibrin or thrombus may be confused with neointimal coverage. Considering these limitations of OCT, the clinical implications of early strut coverage should be further investigated, and more advanced systems are needed. An upcoming OCT technology with greater resolution and various cell-tagging methods might help in understanding further processes of vascular healing after DES implantation.21 In our analyses, there were no significant clinical factors, including the use of ticagrelor, to predict strut coverage on 3-month OCT. Significant factors were vessel size and the degree of stent apposition on post-procedural OCT, suggesting that stent optimisation by improving apposition considering vessel size is more important for improving early strut coverage. As for lower strut coverage in larger vessels, various factors could be involved. First, under the setting of PCI for AMI, smaller diameter stents tend to be chosen and vigorous high-pressure post-dilation is hesitated, especially in large-vessel culprit lesions, owing to the risk of serious no-reflow after stenting. Also, it may be more difficult to determine the optimal stent size in large vessels due to the more dynamic variability of vessel diameter in the case of coronary artery occlusion or severe stenosis, spasm, or ectasia. Endothelial cells and another cellular milieu might also be involved.22 In smaller vessels, the increased contact surface area and higher resistance to blood flow may contribute to the interaction of circulating cells to promote migration and differentiation. However, in larger vessels, the opposite situation might hamper cellular responses, causing a worse strut coverage after stenting. Our previous randomized trial demonstrated a significant correlation between the post-procedural percentage of malapposed struts and strut coverage at 3 months after DES implantation.6 In acute coronary syndrome, retained thrombus or strut penetration into necrotic core contributes to the occurrence of malapposition after stenting.23 The use of OCT may play a beneficial role in improving strut coverage or predicting the risk of uncovered or malapposed struts; however, further investigation is warranted to determine the association between strut coverage and procedural or clinical outcomes in the patients with AMI. Furthermore, our analysis showed that the percentage of uncovered struts was still high (up to 13%) in lesions, even without any risk factor determined. This may support the rationale for more potent antiplatelet therapy with ticagrelor to minimise stent thrombosis in patients with AMI. Rate of uncovered struts in the present study was higher than our initial assumption, which was adopted from previous 3-month OCT follow-up study of non-MI patients.10 Possible reasons for the higher incidence of uncovered struts are as follows: 1) target population was definitely different from other OCT studies: diagnosis of patients enrolled in the present study was AMI, and 70% had ST-elevation AMI, expected to have worse coverage at early period; 2) most patients visited the emergency room and underwent urgent PCI, so clinical deterioration might inhibit healthy vascular healing; and 3) appropriate stent or balloon selection and complete apposition using full OCT assessment would be difficult in an emergency setting. Acute stent malapposition after PCI occurred in >70% patients in this study. As previously demonstrated, higher malapposition rate might aggravate strut coverage at 3-month OCT.6 Meanwhile, co-administered drugs such as statins and the use of new-generation DES might affect strut coverage. A future study, which assesses strut coverage according to different stent types, is required. Importantly, our trial was terminated before full enrollment, in addition to being underpowered to identify a primary endpoint difference between two groups. Therefore, it may not be appropriate to refer to the present study to draw any definite conclusions regarding the effect of ticagrelor on the primary endpoint. Selection bias might have occurred, as there were only 106 patients who were included in the study despite the large inclusion and few exclusion criteria. Second, we did not evaluate the degree of platelet inhibition and plasma adenosine level in this study. The question of whether neointimal response is driven by P2Y12 inhibition or adenosine-like effects remains unanswered.24 Although strut coverage is known to be an important factor associated with clinical outcomes after stent implantation in pathologic and OCT studies, further study is needed to investigate the clinical implications of strut coverage at an early phase, and its roles in AMI.1925 Third, values used for power calculation were arbitrary. Although we predefined the 2% absolute difference of uncovered strut rate as the effect of ticagrelor, we still had insufficient evidence to demonstrate whether the treatment can reduce incidence of uncovered strut, and how much clinical significance is provided by the improvement of early neointimal healing. Finally, since 3-month OCT findings were assessed in this study for the evaluation of early neointimal responses in patients with AMI after stent implantation, a further extension beyond 3-month follow-up might be required. In conclusion, we were not able to determine the favorable effect of ticagrelor on 3-month vascular healing after DES implantation, due to the early termination of the current OCT study. Vessel diameter and stent apposition were associated strut coverage in the present study. However, our findings were not conclusive, and should only be considered for generating hypothesis, due to the current study's premature termination and small number of study population. Adequately powered studies are needed to clarify the short- and long-term effects of ticagrelor on strut coverage, and to explain the mechanisms for improved clinical outcomes by ticagrelor use.
  25 in total

1.  In vivo transfer of human hepatocyte growth factor gene accelerates re-endothelialization and inhibits neointimal formation after balloon injury in rat model.

Authors:  K Hayashi; S Nakamura; R Morishita; A Moriguchi; M Aoki; K Matsumoto; T Nakamura; Y Kaneda; N Sakai; T Ogihara
Journal:  Gene Ther       Date:  2000-10       Impact factor: 5.250

2.  Does underlying plaque morphology play a role in vessel healing after drug-eluting stent implantation?

Authors:  Aloke V Finn; Gaku Nakazawa; Elena Ladich; Frank D Kolodgie; Renu Virmani
Journal:  JACC Cardiovasc Imaging       Date:  2008-07

3.  Pathology of drug-eluting stents in humans: delayed healing and late thrombotic risk.

Authors:  Michael Joner; Aloke V Finn; Andrew Farb; Erik K Mont; Frank D Kolodgie; Elena Ladich; Robert Kutys; Kristi Skorija; Herman K Gold; Renu Virmani
Journal:  J Am Coll Cardiol       Date:  2006-05-05       Impact factor: 24.094

4.  Ticagrelor increases endothelial progenitor cell level compared to clopidogrel in acute coronary syndromes: A prospective randomized study.

Authors:  Laurent Bonello; Corinne Frere; Sylvie Cointe; Marc Laine; Julien Mancini; Franck Thuny; François Kerbaul; Gilles Lemesle; Franck Paganelli; Regis Guieu; Laurent Arnaud; Françoise Dignat-George; Florence Sabatier
Journal:  Int J Cardiol       Date:  2015-03-31       Impact factor: 4.164

5.  Optical coherence tomography derived cut-off value of uncovered stent struts to predict adverse clinical outcomes after drug-eluting stent implantation.

Authors:  Hoyoun Won; Dong-Ho Shin; Byeong-Keuk Kim; Gary S Mintz; Jung-Sun Kim; Young-Guk Ko; Donghoon Choi; Yangsoo Jang; Myeong-Ki Hong
Journal:  Int J Cardiovasc Imaging       Date:  2013-04-25       Impact factor: 2.357

6.  Randomized comparison of acute stent malapposition between platinum-chromium versus cobalt-chromium everolimus-eluting stents.

Authors:  Byeong-Keuk Kim; Dong-Ho Shin; Jung-Sun Kim; Young-Guk Ko; Donghoon Choi; Yangsoo Jang; Myeong-Ki Hong
Journal:  Int J Cardiovasc Imaging       Date:  2014-10-28       Impact factor: 2.357

7.  Early neointimal coverage and vasodilator response following biodegradable polymer sirolimus-eluting vs. durable polymer zotarolimus-eluting stents in patients with acute coronary syndrome –HATTRICK-OCT trial.

Authors:  Pasi P Karjalainen; Ville Varho; Wail Nammas; Jussi Mikkelsson; Mikko Pietilä; Antti Ylitalo; Juhani K E Airaksinen; Jussi Sia; Kai Nyman; Fausto Biancari; Tuomas Kiviniemi
Journal:  Circ J       Date:  2014-12-15       Impact factor: 2.993

8.  Long-term use of ticagrelor in patients with prior myocardial infarction.

Authors:  Marc P Bonaca; Deepak L Bhatt; Marc Cohen; Philippe Gabriel Steg; Robert F Storey; Eva C Jensen; Giulia Magnani; Sameer Bansilal; M Polly Fish; Kyungah Im; Olof Bengtsson; Ton Oude Ophuis; Andrzej Budaj; Pierre Theroux; Mikhail Ruda; Christian Hamm; Shinya Goto; Jindrich Spinar; José Carlos Nicolau; Robert G Kiss; Sabina A Murphy; Stephen D Wiviott; Peter Held; Eugene Braunwald; Marc S Sabatine
Journal:  N Engl J Med       Date:  2015-03-14       Impact factor: 91.245

9.  Effect of the P2Y12 antagonist ticagrelor on neointimal hyperplasia in a rabbit carotid anastomosis model†.

Authors:  Süleyman Sürer; Faruk Toktas; Derih Ay; Cuneyt Eris; Senol Yavuz; Tamer Turk; Ahmet Hakan Vural; Mehmet Tugrul Goncu; Nihal Yasar Gul; Ulviye Yalcınkaya
Journal:  Interact Cardiovasc Thorac Surg       Date:  2014-05-29

10.  The Use Pattern and Clinical Impact of New Antiplatelet Agents Including Prasugrel and Ticagrelor on 30-day Outcomes after Acute Myocardial Infarction in Korea: Korean Health Insurance Review and Assessment Data.

Authors:  Choongki Kim; Dong Ho Shin; Chul Min Ahn; Jung Sun Kim; Byeong Keuk Kim; Young Guk Ko; Donghoon Choi; Myeong Ki Hong; Juhee Park; Hyeyeong Lee; Yoon Jung Choi; Youn Song Choi; Sang Kwon Oh; Yangsoo Jang
Journal:  Korean Circ J       Date:  2017-09-12       Impact factor: 3.243

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1.  Long-Term Clinical Outcomes of Late Stent Malapposition Detected by Optical Coherence Tomography After Drug-Eluting Stent Implantation.

Authors:  Eui Im; Sung-Jin Hong; Chul-Min Ahn; Jung-Sun Kim; Byeong-Keuk Kim; Young-Guk Ko; Donghoon Choi; Yangsoo Jang; Myeong-Ki Hong
Journal:  J Am Heart Assoc       Date:  2019-04-02       Impact factor: 5.501

2.  Severe Acute Stent Malapposition After Drug-Eluting Stent Implantation: Effects on Long-Term Clinical Outcomes.

Authors:  Seung-Yul Lee; Eui Im; Sung-Jin Hong; Chul-Min Ahn; Jung-Sun Kim; Byeong-Keuk Kim; Young-Guk Ko; Donghoon Choi; Yangsoo Jang; Myeong-Ki Hong
Journal:  J Am Heart Assoc       Date:  2019-06-25       Impact factor: 5.501

Review 3.  Endpoint selection for noninferiority percutaneous coronary intervention trials: a methodological description.

Authors:  Matthias Waliszewski; Mark Rosenberg; Harald Rittger; Viktor Breul; Florian Krackhardt
Journal:  Ther Adv Cardiovasc Dis       Date:  2020 Jan-Dec
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