Influence of CYP2C19 genotype on antiplatelet treatment outcomes after percutaneous coronary intervention in patients with coronary heart disease

  • Authors:
    • Dongbiao Yu
    • Likun Ma
    • Junling Zhou
    • Longwei Li
    • Wu Yan
    • Xiaofan Yu
  • View Affiliations

  • Published online on: March 11, 2020     https://doi.org/10.3892/etm.2020.8592
  • Pages: 3411-3418
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Abstract

The aim of the study was to compare the clinical efficacy and safety of ticagrelor and clopidogrel in patients with coronary heart disease one year after percutaneous coronary intervention (PCI), and to explore their association with the CYP2C19 gene polymorphism. A total of 971 patients with coronary heart disease who were hospitalized and underwent PCI from April 2016 to May 2017 were studied. All 971 patients were divided into three subgroups according to CYP2C19 gene types as fast metabolizing, slow metabolizing and very slow metabolizing type. Patients were also classified according to the oral antiplatelet aggregation drugs they received: clopidogrel group and ticagrelor group. The incidence of major adverse cardiac events (MACE) and bleeding events in the clopidogrel‑treated and ticagrelor‑treated groups and in patients with fast, slow, and very slow CYP2C19 metabolisms were compared. Binary logistic regression analysis was carried out to analyze the risk factors associated with MACEs and hemorrhagic events. Patients on ticagrelor had a greater number of bleeding complications compared to those on clopidogrel (P<0.001), with no difference in MACE between the two groups (P=0.399). The incidence of MACE was significantly higher in very slow metabolizing patients receiving clopidogrel (P<0.001) while the incidence of bleeding complications was significantly higher in fast metabolizing patients receiving ticagrelor (P<0.001). The regression analysis revealed that the CYP2C19 gene mutation, a dual‑antiplatelet therapy, and a stroke history were all significantly associated with MACE. By contrast, a dual‑antiplatelet therapy and a stroke history were significantly associated with bleeding events. Findings of the present study indicated that clopidogrel and ticagrelor were equally efficacious post‑PCI. Efficacy of clopidogrel was reduced in patients with very slow CYP2C19 genotype while bleeding complications were higher in patients with fast CYP2C19 genotype receiving ticagrelor. CYP2C19 genotyping may be used to provide guidance to optimize individual antiplatelet treatment.

Introduction

Ticagrelor and clopidogrel are widely used as antiplatelet aggregation therapies in patients with coronary heart disease after percutaneous coronary interventions (PCIs). Clopidogrel is a prodrug converted to a pharmacologically active anti-platelet agent after metabolism by the CYP2C19 enzyme in the liver. However, in clinical practice, some patients do not achieve the desired anti-platelet action, and some may even show complete clopidogrel resistance resulting in severe adverse events including stent thrombosis, re-myocardial infarction, or death (1). Drug resistance has been attributed to CYP2C19 mutations, which mainly comprise the CYP2C19*2 and CYP2C19*3 alleles. Both of these mutant alleles can cause a decrease or complete loss of the CYP2C19 enzyme activity, influencing the efficacy of clopidogrel (2,3). The US Food and Drug Administration advises clinicians that a detection of CYP2C19 genotype and platelet function may be carried out if poor response to clopidogrel is noted. Clinical guidelines in Europe and China have also been modified for the detection of CYP2C19 genotype and platelet function in patients undergoing coronary stent implantations. However, the actual clinical significance of the test results and of the following treatment adjustment, remain unclear (4,5). The frequency of CYP2C19*2 and CYP2C19*3 mutations in the Asian population is estimated to be 57% (6). With the incidence of coronary heart disease and PCI surgery increasing annually, a higher number of Asian patients are expected to experience major cardiac adverse events (MACE) due to mutations in the CYP2C19 gene (7).

Ticagrelor is a new type of oral anti-platelet drug that can reversibly bind to adenosine receptors and exerts its anti-platelet action without in vivo metabolism. When compared with clopidogrel, ticagrelor has stronger anti-platelet aggregation effects; however, the risk of bleeding is also relatively higher. Due to the high cost and greater risk of hemorrhage, the discontinuation rate of ticagrelor is higher than that of clopidogrel.

The aim of the present study was to determine whether the antiplatelet drug regimen can be optimized by testing patients for the CYP2C19 genotype. Thus, we compared the safety and efficacy of clopidogrel vs. ticagrelor when used in patients with coronary heart disease undergoing PCI and assessed possible associations between the CYP2C19 gene polymorphism and the clinical outcomes after each treatment.

Materials and methods

Patients

A total of 971 patients with coronary heart disease who underwent hospitalization and PCI surgery at the First Affiliated Hospital of University of Science and Technology of China between April 2016 and May 2017 were enrolled. Of the 971 patients, 670 were men while 301 were women. Admission criteria for the study included: i) patients with coronary angiography-confirmed coronary heart disease and ii) with stent implantation. We excluded patients with i) indications for ticagrelor and aspirin or clopidogrel contraindications (including patients with severe liver and kidney dysfunction or active bleeding); ii) those with coagulopathy or surgical procedures within 30 days of the PCI, history of gastrointestinal bleeding within 6 months, and history of intracranial hemorrhage; and iii) patients with malignant tumors.

The local ethics committee of the University of Science and Technology of China approved the study. Written informed consent was obtained from all of the patients.

Methods

Patients were divided into clopidogrel and ticagrelor groups according to the oral antiplatelet drug used post-surgery. Patients in the clopidogrel group received postoperative oral clopidogrel (75 mg) once daily combined with aspirin (0.1 g) once a day; and those in the ticagrelor group received postoperative oral ticagrelor (90 mg) twice daily combined with aspirin (0.1 g) once a day.

CYP2C19 genotype determination

The CYP2C19 gene test chip kits (Shanghai Baiao Technology) were used for genotype detection of the entire sample. EDTA anticoagulant tubes were used to collect 2 ml of venous blood samples, and each tube was then fully mixed to avoid coagulation or hemolysis and stored at -20˚C. Within one week the sample was extracted for DNA, and the extracted sample was tested by 1.0% agarose gel electrophoresis, the DNA electrophoresis bands were clean and neat, and the fluorescent signal was relatively strong. The full DNA was subjected to PCR amplification, the genotype was detected by gene chip hybridization, and the CYP2C19 genotype was determined according to the arrangement order of the sequence of gene loci on the chip. The CYP2C19 gene type was divided according to the population's metabolic kinetics of clopidogrel: the wildtype as fast metabolizing (CYP2C19*1/*1); the mutant heterozygous gene as slow metabolizing (CYP2C19*1/*2, CYP2C19*1/*3); and the homozygous mutants as very slow metabolizing (CYP2C19*2/2*, CYP2C19*2/3*, CYP2C19*3/3*). Patients were classified as fast metabolizers, slow metabolizers, or very slow metabolizers based on the CYP2C19 gene type.

Follow-up

One year after administration of the drugs, all 971 patients were followed up via either telephone calls or outpatient visits. End-points were MACE and bleeding events. MACEs were defined as cardiac death, stent thrombosis, acute myocardial infarction, recurrent angina pectoris, and target vessel revascularizations. Bleeding events were classified as severe bleeding (lethal or clinically significant bleeding, bleeding that required blood transfusion or hospitalization such as cerebral hemorrhage or gastrointestinal bleeding); moderate bleeding (bleeding not requiring blood transfusion or hospitalization); and mild bleeding (bleeding gums or subcutaneous hemorrhages <2 mm in diameter on the mucosa, skin, nose or other sites).

Statistical analysis

The incidence of MACE and bleeding events in the clopidogrel-treated and ticagrelor-treated groups was compared. Additionally, we compared outcomes in patients with fast, slow, and very slow CYP2C19 metabolisms. SPSS 22.0 software was used for data processing. Continuous data were expressed as mean ± standard deviation (SD) and t-tests or one-way ANOVA (analysis of variance) was employed for comparisons between groups. Significant differences on ANOVA were further analyzed by Tukey's post-hoc Honestly Significant Difference test. The categorical data were represented by the number of cases and percentages, and the Chi-square test was used for comparisons between groups. A binary logistic regression analysis was applied to analyze the risk factors associated with MACEs and hemorrhagic events. Intercept (B) with standard error (SE) along with odds ratios (OR) and 95% confidence intervals (CI) were calculated for each predictor variable. P<0.05 was considered statistically significant.

Results

Basic clinical characteristics

Of the 971 patients who met the inclusion criteria, 670 were men while 301 were women. After CYP2C19 genotype analysis, we categorized 370 patients as fast metabolizers, 472 as slow metabolizers, and 129 as very slow metabolizers. Table I shows the basic clinical characteristics of patients. We determined antiplatelet treatment plans according to the genotyping results and the clinics. As a result, a total of 724 patients received clopidogrel, while 247 patients received ticagrelor. The number of patients with fast metabolizing, slow metabolizing, and very slow metabolizing CYP2C19 genotype in the clopidogrel group were 325, 345 and 54, respectively. The corresponding number of patients in the ticagrelor group were 45, 127 and 75.

Table I

Clinical characteristics of patients classified according to CYP2C19 genotype.

Table I

Clinical characteristics of patients classified according to CYP2C19 genotype.

VariablesFast metabolizing (n=370)Slow metabolizing (n=472)Very slow metabolizing (n=129)P-valuea
Age (mean ± SD)65.33±11.6165.76±11.9866.06±12.290.791
Gender (male)258 (69.73%)320 (67.80%)92 (71.32%)0.692
BMI (kg/cm2, mean ± SD)24.17±3.6524.35±3.2724.97±3.500.104
Smoking (n, %)93 (25.14%)109 (23.09%)29 (22.48%)0.734
Drinking (n, %)53 (14.32%)83 (17.58%)18 (13.95%)0.357
Hypertension (n, %)232 (62.70%)286 (60.59%)82 (63.57%)0.745
Diabetes (n, %)84 (22.70%)122 (25.85%)40 (31.01%)0.164
Cerebral infarction (n, %)44 (11.89%)71 (15.04%)27 (20.93%)0.047
Family history (n, %)6 (1.62%)9 (1.91%)3 (2.33%)0.875
ACEI/ARB (n, %)151 (40.81%)189 (40.04%)49 (37.98%)0.853
β-BR (n, %)202 (54.59%)261 (55.29%)60 (46.51%)0.194
CCB (n, %)83 (22.43%)111 (23.52%)31 (24.03%)0.905
Statins (n, %)352 (95.14%)461 (97.67%)123 (95.35%)0.110
PPI (n, %)122 (32.98%)159 (33.69%)52 (40.31%)0.296
Auxiliary inspection    
     LVEF% (mean ± SD)59.44±11.6759.76±11.6057.39±13.370.289
     Serum creatinine (µmol/l, mean ± SD)78.60±33.9979.32±35.9181.46±36.550.744
     Hemoglobin (g/l, mean ± SD)129.22±16.85127.95±16.78127.70±17.440.489
     Platelet count (109/l, mean ± s)198.23±61.41205.06±65.66201.12±58.100.295
     PT (s, mean ± SD)11.94±2.9111.87±3.2711.78±2.020.898
     APTT (s, mean ± SD)36.34±13.5136.44±14.2236.75±16.340.968
     INR (s, mean ± SD)0.95±0.290.94±0.320.94±0.200.952

[i] n, Number of patients; s, seconds; SD, standard deviation; BMI, body mass index; ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers; β-BR, β-blockers; CCB, calcium channel blockers; PPI, proton pump inhibitors; LVEH, left ventricular ejection fraction; PT, prothrombin time; APTT, activated partial thromboplastin time; INR, international normalization ratio; %, percentage.

[ii] aOne-way ANOVA or Chi-square test.

Comparison of endpoints in the clopidogrel and ticagrelor groups.

We found no statistically significant difference in the 1-year MACEs between clopidogrel and ticagrelor groups (P=0.399). However, the incidence of bleeding was significantly higher with ticagrelor (19.82%) than with clopidogrel (9.20%) (P<0.001; Table II).

Table II

Comparison of MACE events and bleeding rates between the two groups at 1 year follow-up.

Table II

Comparison of MACE events and bleeding rates between the two groups at 1 year follow-up.

VariablesClopidogrel (n=724)Ticagrelor (n=247)χ2P-value
MACE115 (17.22%)30 (14.71%)0.7100.399
Bleeding56 (9.20%)43 (19.82%)17.106<0.001

Table III shows the incidence of MACEs and bleeding events in the patients with fast, slow, and very slow metabolizing CYP2C19 genotype in the clopidogrel-treated and ticagrelor-treated groups. In the clopidogrel group, the CYP2C19 genotype influenced the incidence of MACEs significantly. The incidence of MACE was significantly higher in patients with very slow metabolizing type (40.82%) than in those with slow metabolizing (18.84%) and fast metabolizing (9.23%) types (P<0.001). However, we found no statistically significant differences in terms of the incidence of bleeding in the three CYP2C19 subgroups of clopidogrel (P=0.888). In the ticagrelor group, the incidence of MACEs amongst the three CYP2C19 subgroups were similar (P=0.725). However, the patients with bleeding events were more numerous among the fast metabolizers (35.55%) than among the slow (14.96%) and very slow (10.66%) metabolizers (P=0.001). All hemorrhagic events in the ticagrelor group were mild bleeding events with no cases of moderate or severe hemorrhages. Further subgroup analyses demonstrated that the incidence of angina pectoris in the clopidogrel group was significantly different among fast, moderate, and very slow metabolizers (6.55, 10.62 and 40.82%, respectively; P<0.001).

Comparison of endpoints in different CYP2C19 genotypes

Table IV shows the incidence of MACEs and bleeding events in patients with different CYP2C19 genotypes. Fast CYP2C19 metabolizers experienced significantly fewer MACEs (10%) than slow (16.73%) and very slow CYP2C19 metabolizers (22.48%) (P=0.0008).

The number of deaths (P=0.013) and bleeding events (P<0.001) were significantly higher in fast metabolizers on ticagrelor than in those on clopidogrel. In slow metabolizers, the incidence of MACEs was higher in those on clopidogrel than in those of ticagrelor (P=0.043), while more patients experienced bleeding events with ticagrelor than with clopidogrel (P=0.02). For very slow metabolizers, significantly more patients on clopidogrel experienced MACEs than those on ticagrelor (P=0.0007), while the incidences of bleeding were similar with either drug (P=0.793).

Logistic regression analysis

The binary logistic regression analysis was used to assess CYP2C19 gene mutation, double-antiplatelet treatment regimen (0=clopidogrel, 1=ticagrelor), age, sex, smoking history, drinking history, hypertension, stroke, diabetes, family history, platelet count, hemoglobin concentration, and concomitant medications (ACEI/ARB, β-blockers, CCB, statins, or PPI). The results showed that CYP2C19 gene mutations, double-antiplatelet treatment regimen, and stroke history were significantly associated with MACE, CYP2C19 gene mutation and stroke history were positively correlated with MACE (P<0.001, P=0.001); and double-antibody treatment regimen (0=clopidogrel, 1=ticagrelor) was negatively correlated with MACE (P=0.025; Table V).

Table V

Binary logistic regression analysis (MACE).

Table V

Binary logistic regression analysis (MACE).

VariablesBSEwalddfOR (95% CI)P-value
CYP2C19 gene mutation0.5990.15016.04711.821 (1.358, 2.441)<0.001
Double antiplatelet treatment-0.5620.2505.03810.570 (0.349, 0.931)0.025
Age0.0040.0090.17411.004 (0.986, 1.022)0.676
Gender-0.2770.2411.32310.758 (0.472, 1.216)0.250
BMI0.0370.0291.63111.038 (0.980, 1.098)0.202
Smoking-0.0370.2940.01610.964 (0.542, 1.714)0.900
Drinking-0.0320.3330.00910.968 (0.504, 1.860)0.923
Hypertension-0.1350.2140.39410.874 (0.574, 1.331)0.530
Stroke0.7680.24210.09712.156 (1.342, 3.462)0.001
Diabetes-0.0300.2150.02010.970 (0.637, 1.478)0.887
Family history0.4230.6190.46611.527 (0.453, 5.140)0.495
Platelet count-0.0020.0021.05010.998 (0.995, 1.001)0.306
Hemoglobin-0.0020.0060.10610.998 (0.987, 1.010)0.744
ACEI/ARB-0.0160.2040.00610.984 (0.660, 1.469)0.939
β Receptor blocker-0.2450.1971.54110.783 (0.532, 1.152)0.214
CCB-0.0430.2370.03310.958 (0.603, 1.523)0.856
Statins-0.8690.4763.37410.419 (0.166, 1.060)0.066
PPI-0.1970.2060.90710.822 (0.548, 1.231)0.341

[i] SE, Standard Error; OR, Odds ratio, BMI, body mass index; ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers; CCB, calcium channel blockers; PPI, proton pump inhibitors; CI, confidence interval. Data in bold indicates P<0.05.

A binary logistic regression analysis of bleeding events showed that the double-antiplatelet regimen and a stroke history were significantly associated with bleeding events, with a positive correlation (P<0.001) for double-antiplatelet regimen (0=clopidogrel, 1=ticagrelor) and bleeding events; and negative correlation for the history of stroke and the occurrence of bleeding events (P=0.008; Table VI).

Table VI

Binary logistic regression analysis (bleeding events).

Table VI

Binary logistic regression analysis (bleeding events).

VariablesBSEwalddfOR (95% CI)P-value
CYP2C19 gene mutation-0.1760.1770.99410.839 (0.593, 1.185)0.319
Double antiplatelet treatment1.0640.25317.74912.897 (1.766, 4.753) <0.001
Age-0.0080.0100.57910.992 (0.972, 1.013)0.447
Gender0.1760.2740.41211.192 (0.697, 2.041)0.521
BMI-0.0040.0360.01310.996 (0.929, 1.068)0.909
Smoking-0.1330.3530.14210.875 (0.438, 1.749)0.706
Drinking0.1450.3960.13411.156 (0.532, 2.512)0.714
Hypertension-0.1950.2500.61210.822 (0.504, 1.342)0.434
Stroke-0.8140.3096.95810.443 (0.242, 0.811)0.008
Diabetes0.1890.8070.05511.208 (0.249, 5.875)0.814
Family history-0.2930.3840.58210.746 (0.351, 1.584)0.446
Platelet count-0.0020.0021.69210.998 (0.994, 1.001)0.193
Hemoglobin-0.0050.0070.54410.995 (0.982, 1.008)0.461
ACEI/ARB0.2400.2371.02511.271 (0.799, 2.024)0.311
β Receptor blocker-0.4050.2293.14610.667 (0.426, 1.044)0.076
CCB0.1360.2790.23811.146 (0.663, 1.979)0.625
Statins-0.7270.4592.50710.484 (0.197, 1.189)0.113
PPI-0.5140.2504.21510.598 (0.366, 0.977)0.040

[i] SE, standard error; OR, odds ratio, BMI, body mass index; ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers; CCB, calcium channel blockers; PPI, proton pump inhibitors; CI, confidence interval. Data in bold indicates P<0.05.

Discussion

European, American and Chinese guidelines for the treatment of patients with acute coronary syndrome have preferred treatment with ticagrelor and the status of clopidogrel as a dual antiplatelet therapy has been lost. However, we found no statistically significant differences in terms of the 1-year MACE incidence between the patients on clopidogrel and those on ticagrelor in our observational study. The bleeding incidences did differ significantly between the two groups (19.82% in those on ticagrelor vs. 9.2% in those on clopidogrel, P<0.001). The PLATO study demonstrated that ticagrelor reduces MACE, but the reduction seems to apply only after 30 days (7). In 2017, after adjusting for the propensity score, Vercellino et al (8) found there was no difference in the reduction of MACE between ticagrelor and clopidogrel within one year. Findings of that study are similar to our observations. The antiplatelet aggregation of ticagrelor was not affected by the CYP2C19 genotype, and the risk of bleeding was significantly increased in patients on ticagrelor compared to those on clopidogrel (9). In the clopidogrel group, the incidence of MACE differed significantly according to the genotyping. Patients with fast metabolizing CYP2C19 genotype had the least number of MACE while patients with very slow CYP2C19 genotype experienced the highest number of MACE in the present study. In terms of the CYP2C19 genotype, when comparing very slow with fast metabolizers, the concentration of effective active drugs in plasma was significantly reduced in the latter, so the anti-platelet aggregation effect was low (3,10). Therefore, we selected clopidogrel as a PCI antiplatelet therapy. Increased MACE was present in the very slow and slow metabolizers than in the fast metabolizers (11,12).

Findings have shown that ticagrelor has lower MACE incidence rates in patients with very slow and moderate CYP2C19 metabolism than clopidogrel, while MACE events in patients without CYP2C19 mutation are similar to those of slow metabolizers (11). However, our subgroup analysis showed that fast metabolizers had significantly different rates of death depending on their treatment with either clopidogrel (2.87%) or ticagrelor (15.38%; P=0.013), and that mild bleeding incidences also differed significantly (7.19% of those on clopidogrel vs. 42.11% of those on ticagrelor, P<0.001). In fast metabolizers, the mortality rate of those on ticagrelor was higher than that of those on clopidogrel. This may be due to the number of cases being less for fast metabolizers on ticagrelor than for those on clopidogrel, and due to the fact that patients with coronary lesions often have left main, multi-vessel disease, severe calcification, and other complex lesions (11). In the clinic, Chinese physicians often use the strong anti-platelet aggregation drug ticagrelor despite the patients being fast metabolizers, because these patients have a higher incidence rate of MACE (3,7). In our study, the patients with very slow and slow CYP2C19 metabolism on ticagrelor had a lower MACE rate compared to those on clopidogrel. In patients with very slow CYP2C19 metabolism, the MACE rate was statistically significantly lower in patients on ticagrelor than in those on clopidogrel. The results of the current study are consistent with previous findings (13).

The association between CYP2C19 gene mutations and cardiovascular MACE rates is debatable, but different studies have selected different patient populations with different risk factors (14,15). The CYP2C19 gene polymorphism is not the only factor affecting the individual response to clopidogrel; age, body mass index, blood lipid levels, combined medication, and clopidogrel doses can also affect the patient's platelet activity (16). ACS patients have benefited significantly from anti-platelet aggregation therapy based on CYP2C19 gene variants (17).

The present study has some limitations including a relatively small sample size and a retrospective single-centered nature, and RCT studies are needed on different types of patients.

Within the purview of the limitations of the present study, our results indicate that both clopidogrel and ticagrelor may be equally efficacious in coronary heart disease patients undergoing PCI. However, efficacy of clopidogrel seems to be reduced in patients with very slow CYP2C19 genotype while bleeding complications tend to be higher in patients with fast CYP2C19 genotype receiving ticagrelor. CYP2C19 genotyping may be used as a guide to optimize individual antiplatelet treatment in patients undergoing PCI to improve efficacy and reduce complications. Further studies in the form of RCTs are required to provide robust evidence.

Acknowledgements

Not applicable.

Funding

This study was supported by the National Natural Science Foundation of China (grant no. 81870192) and the science project of Anhui Provincial Cardiovascular Institute (grant no. KF2018007) and ‘Borrow to transfer to supplement’ project of Hefei independent innovation policy (grant no. J2019Y02).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

DY and LM designed the study and provided study materials. LM, JZ, LL, WY and XY were responsible for the collection and assembly of the data, data analysis and interpretation. DY was involved in the writing of the manuscript. LM was involved in the editing of the manuscript. All authors have read and approved the final manuscript.

Ethics approval and consent to participate

This research was approved by the Ethics Committee of Anhui provincial hospital (approval no. 2019 P 029). Informed consent was collected from patients.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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May-2020
Volume 19 Issue 5

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Spandidos Publications style
Yu D, Ma L, Zhou J, Li L, Yan W and Yu X: Influence of CYP2C19 genotype on antiplatelet treatment outcomes after percutaneous coronary intervention in patients with coronary heart disease. Exp Ther Med 19: 3411-3418, 2020.
APA
Yu, D., Ma, L., Zhou, J., Li, L., Yan, W., & Yu, X. (2020). Influence of CYP2C19 genotype on antiplatelet treatment outcomes after percutaneous coronary intervention in patients with coronary heart disease. Experimental and Therapeutic Medicine, 19, 3411-3418. https://doi.org/10.3892/etm.2020.8592
MLA
Yu, D., Ma, L., Zhou, J., Li, L., Yan, W., Yu, X."Influence of CYP2C19 genotype on antiplatelet treatment outcomes after percutaneous coronary intervention in patients with coronary heart disease". Experimental and Therapeutic Medicine 19.5 (2020): 3411-3418.
Chicago
Yu, D., Ma, L., Zhou, J., Li, L., Yan, W., Yu, X."Influence of CYP2C19 genotype on antiplatelet treatment outcomes after percutaneous coronary intervention in patients with coronary heart disease". Experimental and Therapeutic Medicine 19, no. 5 (2020): 3411-3418. https://doi.org/10.3892/etm.2020.8592