Keywords
Clopidogrel responsiveness, coronary artery disease, smokers’ paradox, and percutaneous intervention
Clopidogrel responsiveness, coronary artery disease, smokers’ paradox, and percutaneous intervention
This version (V2) addresses the reviewer's comments for the previous version (V1). The changes have been implemented in the Introduction, Results as well as in the Discussion sections.
See the authors' detailed response to the review by Bogumił Ramotowski
Clopidogrel is a known platelet inhibitor, which has been widely used for the prevention of major complications of heart disease following percutaneous coronary intervention (PCI).1 Previous studies have shown that there was some inter-individual difference in clopidogrel response2 and resistance to clopidogrel is related with an augmented risk of major adverse cardiac events (MACE).2 Among the several risk factors that affect the response of platelet to clopidogrel therapy, smoking is linked with enhanced clopidogrel responsiveness.3 Although various processes have been proposed (including those regarding cytochrome P450 enzyme system), the exact mechanism is still unclear.3 Cigarette smoking expedites the metabolism of specific drugs, especially those primarily processed by cytochrome P450 1A2 (CYP1A2), along with a lesser impact on CYP2E1 and certain UDP-glucuronosyltransferases.4 The stimulation of CYP1A2 is triggered by the interaction between polycyclic aromatic hydrocarbons found in tobacco smoke and the aryl hydrocarbon receptor (AHR). This interaction leads to the activation of the CYP1A2 gene through transcriptional processes. Additionally, tobacco smoking induces the CYP1A1 and CYP1B1 enzymes via the AHR in diverse human tissues like the lungs and placenta.4 Previous studies suggest that nicotine plays a role in encouraging the CYP1A1 and CYP1A2 enzymes. This has been observed in previous studies.4,5 Some indications also point to nicotine’s potential to induce CYP1A1 in human pulmonary explant cultures.6
Clopidogrel is taken as an inactive drug; it then passes through a two-step oxidation process with the help of cytochrome P450 (CYP) to be activated, which leads to irreversible inhibition of platelet P2Y12 adenosine diphosphate (ADP) receptor.7 Smoking is identified as an inducer of CYP1A2, a major iso-enzyme controlling the first oxidation step in clopidogrel activation.7
The fundamental association between coronary arterial disease (CAD) and smoking is well established.7 Cessation of smoking is the only most significant intervention for prevention of CAD.7 However, the “smoking paradox” is a phenomenon which has been observed in smokers on clopidogrel treatment. The smoking paradox, a noteworthy phenomenon observed in trials involving clopidogrel therapy, extends its influence even prior to the commencement of such treatment.8 This intriguing paradox seems to be associated with younger age and fewer underlying health conditions. While its exact mechanisms are not fully understood, the presence of this paradox underscores the importance of considering demographic factors and overall health status when evaluating the outcomes of clopidogrel therapy, revealing potential complexities that warrant further exploration.8 Antiplatelet therapy is the backbone for the management and prevention of heart disease, including coronary heart disease, transient ischemic attack or minor stroke, and acute coronary syndrome (ACS). Clopidogrel, which is P2Y12 inhibitors was the first medication in this category, play an essential role in antiplatelet therapy and consequently in the treatment and prevention of CVD.1,9 However, there are several factors which may alter personal response to clopidogrel therapy. This is in addition to drugs.9 In these patients, the pharmacodynamics of clopidogrel was enhanced by the intensity of smoking, and smokers who received clopidogrel had low platelets reactivity.10
In this study, we investigated whether smoking enhances clopidogrel responsiveness in patients with ischemic heart disease (IHD) following PCI.
This was a prospective case-control study, conducted at Al-Najaf Heart Surgery and Catheterization Center, Al-Najaf, Iraq, between August 2020–June 2022. This study was approved by the Human Research Ethics, College of Medicine, University of Kufa (KUM 364 on 10 March 2022). The study protocol was explained to all patients and only participants who provided written informed consent to enroll in the study were included. A total of 370 participants were initially included in the study, however, 46 participants were later excluded because they did not meet the study criteria. Therefore, only 324 participants who had a platelet function test two hours prior to PCI to monitor platelet responsiveness were included in the current analysis. Participants were, subsequently, divided into two study groups based on their response to clopidogrel therapy: non-responder study cohorts (case group n=111) and responder study group (control group n=213). In each of the above two study groups, participants were further subdivided according to their smoking status (smoker study group and non-smoker study group).
Participants have been classified as “smokers” if they continued smoking cigarettes within a month of the enrolment period and had smoked at least a hundred cigarettes (or one hour shisha smoking) in their lives. Non-smokers were participants who have never smoked more than 100 cigarettes (or one hour shisha smoking) in their lives.
All patients received 75 mg of clopidogrel (Plavix, Sanofi Aventis, France), daily for 7 days before PCI procedure. Patients who had never taken them before were given a loading dose of aspirin (300 mg orally) and clopidogrel (300 mg orally).
Five milliliters of venous blood sample were taken from the participants. Samples were placed in test tubes for 1 hour, then underwent centrifugation at 3000 revolutions per minute for ten minutes at 25°C. The platelet reactivity test was assisted by means of Multiplate analyzer (Verum Diagnostic, GmbH, Munich, Germany). The assay was quantified by the area under the aggregation curve (AUC) in units (U). In this study, the cutoff point for the ADP test used to determine the clopidogrel effect is value of UAC was 50 U, so any value ≥50 U was considered as clopidogrel resistance or non-responder, and values <50 U as non-clopidogrel resistance or responder.11
All data were analysed using SPSS (version 25, IBM, USA). In this study, descriptive statistics were used as numbers and percentages. To analyze categorical data or variables, we used the Chi-Square test. To analyze numerical data or compare between cases and control and among groups, we used the independent Student’s t-test. Body mass index (BMI) was calculated using the equation (BMI=kg/m2). A P-value ≤0.05 was deemed significant.
Table 1 shows the demographic data and clinical features of all the participants in this study. A total of 324 patients with CAD were included in the study. Among the responder study group, 51.1% of the participants in this group were smokers and 48.9% of the participants were non-smokers. In the non-responder study group, only 30.6% of the participants were smokers, versus 60.4% of the participants in this group were non-smokers, Table 1.
Responder study cohort | Non-responder study cohort | |||
---|---|---|---|---|
Smokers (N=109) | Non-smokers (N=104) | Smokers (N=34) | Non-smokers (N=77) | |
Age (years) | 58.58±0.75 | 56.63±0.77 | 57.91±1.49 | 55.2±1.05 |
Gender (Male) | 84 (77.1%) | 75 (72.1%) | 25 (70.58%) | 55 (71.4%) |
Hypertension | 73 (67%) | 71 (68.3%) | 24 (70.6%) | 50 (64.9%) |
Diabetes mellitus | 58 (53.2%) | 61 (58.7%) | 19 (55.9%) | 37 (48.1%) |
BMI (kg/m2) | 28.84±0.47 | 27.97±0.41 | 28.91±0.50 | 30.02±1.00 |
HbA1c (g/dL) | 14.6±0.55 | 13.12±0.38* | 14.3±0.31 | 12.96±0.39# |
AUC | 17±8 | 45±6* | 62±3 | 95±7# |
In addition, the mean value for participants’ age in the smoker cohort was 58.58±0.75 versus 56.63±0.77 (P value=0.07) in the non-smoker group for responder study group, whereas the mean value of the participants’ age for patients in the smoker cohort was 57.91±1.49 versus 55.20±1.05 (P value=0.14) for non-smokers in the non-responder study cohort (Table 1).
Overall, 77.1% of the smoker responder study group were males as compared to 72.1% non-smoker males, P=0.477. In contrast, 50% of the smoker non-responder participants were male versus 71.4% were non-smoker, P=0.029 (Table 1).
With regards to the development of chronic illnesses, a non-significant difference was noticed in the prevalence of hypertension among the responder study cohort (67% in the smoking study sub-group versus 68.3% in the non-smoking study sub-group, P=0.772). Similarly, the prevalence of hypertension among the non-responder study group was not significantly different based on smoking status (70.6% smoking versus 64.9% non-smoking, P=0.56), Table 1.
The prevalence of diabetes mellitus was non-statistically different among the responder group (53.2% in the smoking sub-group versus 58.7% in the non-smoking study sub-group, P=0.42), as well as among the non-responder study group (55.9% in the smoking sub-group versus 48.1% in the non-smoking study sub-group, P=0.45), Table 1.
In addition, the prevalence of BMI varied insignificantly among the responder study cohort (28.84±0.47 in the smoking study sub-group versus 27.97±0.41 in the non-smoking study sub-group, P=0.16). Similarly, BMI level was not significantly different among the non-responder study cohort based on smoking status (28.91±0.50 smoking versus 30.02±1.00 non-smoking, P=0.47), Table 1.
The mean level of HbA1c was statistically significantly different in the responder study cohort (14.6±0.55 in the smoking sub-group versus 13.12±0.38 in the non-smoking study sub-group, P=0.029), While it was not significant within the non-responder study cohort (14.3±0.31 in the smoking sub-group versus 12.96±0.39 in the non-smoking study sub-group, P=0.33), Table 1.
Likewise, the mean level of AUC was statistically significantly different in the responder study group (17±8 in the smoking sub-group versus 45±6 in the non-smoking study sub-group, P=0.005). A statistically significant difference was noted within the non-responder study cohort (62±3 in the smoking sub-cohort as compared to 95±7 in the non-smoking study sub-cohort, P=0.008), Table 1.
There were significant differences in the levels ADP-induced platelet aggregation between the smoking and non-smoking groups in the responder study cohort (P=0.01), as well as in the non-responder study cohort (P=0.01), Table 2.
Smoking status increased the response to clopidogrel therapy as manifested by the response to platelet function test with an odd’s ratio of 0.4213 (95% C.I. 0.259-0.684), P=0.0002, Table 3.
Smoking status | Non-responder study group | Responder study group | Odd's ratio | 95% Confidence Interval | P-value |
---|---|---|---|---|---|
Current smoker | 34 | 109 | 0.4213 | 0.259-0.684 | 0.0002 |
Non-smoker | 77 | 104 |
The current study compared the clopidogrel response to smoking status in patients with CAD who were prepared to undertake a PCI procedure. In this study, we took into consideration all the modifiable and the non-modifiable risk factors such as the presence of chronic condition (hyperglycemia, hypertension, and hemoglobin level). We could not find a significant difference between smoking participants versus non-smoking participants in the responder study cohort nor in the non-responder study cohort. These findings were comparable to the findings of other studies.12,13
Additionally, this study illustrated a significantly higher hemoglobin level among the smoking participants when compared to the non-smoking patients, although Yun Gi Kim and his team found evidence that the AUC measured by Multiplate Analyzer was not affected by hemoglobin level.14 While there was a significantly lower AUC among the smoker participants as compared to the non-smoker in both study groups, these results are consistent with10,15 and contrary to results by Kim et al., 2016.14
However, it is worth mentioning that cessation of smoking represents the first action for the secondary prevention of the development of ischemic events in people with CVD diseases because it lowers the risk of thrombotic cardiovascular processes.16,17 Although quitting smoking is the best strategy to lower thrombotic risk and save money on healthcare, many people with established CVD disease refuse to quit smoking. Accordingly, determining the best antiplatelet treatment plan for these patients is crucial.16,17
We also revealed that smoking enhanced clopidogrel responsiveness by 0.42 in responder study group and non-responder study groups. Previous studies concluded that smoking incudes enzyme activation of cytochrome P450 (primarily 2B6 and 1A2 isoenzymes), which are crucial for the biotransformation of the medication clopidogrel.10,18 Smoking increases clopidogrel’s anti-aggregative action and platelet inhibition since it speeds up the drug’s metabolism. Platelet P2Y12 receptors may become more numerous and expressed when exposed to nicotine, which may improve their sensitivity to clopidogrel.10,18 Clopidogrel should be the drug of choice when it comes to long term prevention of CVD disease in smoker patients because of the larger number of clopidogrel responders and aspirin non-responders.19 This is especially important for patients who, in accordance with recommended practices, depend on a single antiplatelet therapy, typically aspirin, for their protection against the development of atherosclerosis and do not have a clinical rationale for a combined antiplatelet treatment in combination with clopidogrel.
The dosage and administration of clopidogrel can play a significant role in patient outcomes. Patients receiving a standard maintenance dose of 75 mg clopidogrel might exhibit different responses compared to those who were initially administered a loading dose. This has been considered when analyzing the impact of clopidogrel therapy on the patient study groups, as this distinction could influence the observed effects and contribute to the overall understanding of the medication’s efficacy and safety profile.20
The absence of clinical follow-up for outcome and complications and a genetic investigation to assess patients who did not respond to clopidogrel are among the study’s first limitations.
The inability to measure cotinine plasma levels to accurately depict smokers’ health is a second limitation of our study. However, most studies addressing the smoking paradox and the increased cardiovascular risk associated with smoking have this drawback.
There is a marked variance in AUC between smoker and non-smoker participants in the responder study group as well as among the non-responder study group. Our results propose that cigarette smoking enhances clopidogrel responsiveness. These results suggest potential benefits of clopidogrel therapy based on the smoking paradox, but this theory needs further investigations.
The authors declare that all data were generated in-house and that no paper mill was used. The authors responsibilities were as follows: Author Contributions: “Conceptualization, A.A., A.R., B.M., and H.A.; methodology, A.A., D.J., B.M., and A.R.; investigation, H.A., A.R., A.A., and B.M.; writing—original draft preparation, A.A., B.M., and A.R.; review and editing, H.A., and D.J.; supervision, B. M, and A.R. Authors have read and agreed to the final version of the manuscript.”
Figshare: The impact of smoking status on clopidogrel responsiveness in patients with coronary artery disease who undergo percutaneous coronary intervention, https://doi.org/10.6084/m9.figshare.22130228.v2. 21
This project contains the following underlying data:
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
The authors thank members of the Pharmacology and Therapeutic Department of University of Kufa.
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Is the work clearly and accurately presented and does it cite the current literature?
No
Is the study design appropriate and is the work technically sound?
No
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Interventional cardiolgoy
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Clopidogrel responsiveness in smokers
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
No
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Clopidogrel responsiveness in smokers
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
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Version 2 (revision) 23 Aug 23 |
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Version 1 05 Apr 23 |
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