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Residual Platelet Reactivity and Dyslipidemia in Post-CABG Patients Undergoing Repeat Revascularization: Insights from Kazakhstan

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29 September 2025

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30 September 2025

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Abstract
Background: Coronary artery bypass grafting (CABG) is a standard treatment for ad-vanced coronary artery disease (CAD). Despite its effectiveness, many patients devel-op recurrent ischemia requiring repeat revascularization. Residual platelet reactivity (RPR) and dyslipidemia are considered important contributors to graft failure and dis-ease progression. This study investigated the association of RPR and dyslipidemia with repeat revascularization in post-CABG patients. Methods: A observational cohort study was performed at a tertiary cardiology center in Kazakhstan. A total of 200 patients with prior CABG who underwent repeat coro-nary angiography between 2023 and 2024 for recurrent ischemic symptoms were in-cluded. Clinical data, comorbidities, lipid profiles, and antiplatelet response were ana-lyzed. RPR was measured with the VerifyNow P2Y12 assay where available. Dyslipidemia was defined according to current European guidelines, 2019/2021. Results: Elevated RPR was found in 45% (n = 90) of patients despite dual antiplatelet therapy. Poor lipid control, especially increased low-density lipoprotein cholesterol (LDL-C) and total cholesterol was common among patients undergoing repeat percu-taneous coronary intervention (PCI). Both RPR and dyslipidemia were independently associated with native coronary disease progression and graft failure. Conclusions: RPR and dyslipidemia are frequent and clinically relevant predictors of repeat revascularization after CABG. Optimizing antiplatelet and lipid-lowering ther-apy should be a priority in secondary prevention for this high-risk group. These results are particularly important in the Central Asian setting, where post-CABG management strategies require further improvement.
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1. Introduction

Coronary artery bypass grafting (CABG) remains a cornerstone in the management of advanced coronary artery disease (CAD), especially in patients with multivessel involvement. While surgical revascularization provides symptomatic relief and mortality benefit, a considerable proportion of patients continue to experience recurrent ischemic symptoms and adverse cardiovascular events during follow-up.
Platelets play a central role in the pathogenesis of atherosclerosis and arterial thrombosis. High residual platelet reactivity (HRPR), even under antiplatelet therapy, is a well-established predictor of major adverse cardiovascular events, including myocardial infarction (MI), stroke, and stent thrombosis [1,2]. Patients with multivessel CAD undergoing CABG have been shown to exhibit higher levels of HRPR compared to those with single-vessel disease. Several comorbidities—including dyslipidemia, anemia, chronic kidney disease (CKD), reduced left ventricular ejection fraction (LVEF), and overweight/obesity—are strongly associated both with HRPR and with the presence of extensive coronary disease, thereby amplifying the risk of recurrent ischemic events [3,4].
The prothrombotic role of platelets is particularly important in patients receiving long-term antiplatelet therapy aimed at reducing MI and stroke incidence. Anemia, common among patients with chronic heart failure (CHF), is linked to impaired response to clopidogrel, increased HRPR, higher hospitalization rates, and worse survival [5,6,7]. Renal dysfunction further diminishes antiplatelet efficacy and contributes to poor outcomes [8]. HRPR has consistently been recognized as a poor prognostic marker in acute coronary syndrome (ACS) [9]. Smoking, dyslipidemia, and elevated cholesterol levels additionally enhance platelet activation and thrombotic risk [4,5]. Moreover, obesity—particularly class I—has been associated with increased HRPR during antiplatelet therapy [10].
In the post-CABG setting, hemostatic alterations induced by cardiopulmonary bypass may further influence platelet function and predispose to enhanced platelet activation [11]. The pathophysiological mechanism linking HRPR to cardiovascular complications primarily involves exaggerated platelet aggregation and thrombus formation [12,13,14]. Consequently, HRPR is considered an independent risk factor for recurrent ischemic events, including MI, graft failure, stent thrombosis, and cardiovascular death [15,16].
Importantly, dyslipidemia represents a modifiable determinant of both platelet hyperreactivity and atherosclerotic progression. Failure to achieve guideline-recommended low-density lipoprotein cholesterol (LDL-C) targets—particularly <1.4 mmol/L in very-high-risk patients according to the 2019/2021 ESC guidelines—significantly increases the risk of recurrent ischemia and need for repeat revascularization. Thus, strict lipid control remains a cornerstone of secondary prevention in post-CABG patients and is crucial for improving long-term outcomes.
In this study, we analyzed 200 post-CABG patients from a tertiary cardiac center in Kazakhstan. Recurrent angina was observed in 94% (n=188), and 68% (n=136) required repeat percutaneous coronary intervention (PCI) after coronary angiography. Our aim was to identify the predominant clinical phenotypes associated with these outcomes, with particular emphasis on dyslipidemia and inadequate LDL-C control, residual platelet reactivity despite dual antiplatelet therapy, anemia, CKD, and heart failure (HF).

2. Materials and Methods

Study Design and Setting

This observational single-center cohort study was conducted from January 2023 to December 2024 at the Research Institute of Cardiology and Internal Medicine, a tertiary-level cardiovascular center in Almaty, Kazakhstan. The study aimed to evaluate residual platelet reactivity and dyslipidemia as risk factors for repeat revascularization in patients with established coronary artery disease (CAD) who previously underwent coronary artery bypass grafting (CABG).

Patient Population

Eligible participants were adult patients (≥18 years) with a documented history of coronary artery bypass grafting (CABG) and a diagnosis of stable coronary artery disease (CAD) who were admitted for repeat coronary angiography due to recurrent ischemic symptoms.

Inclusion Criteria:

Prior history of CABG
Documented stable CAD
Clinical and/or instrumental evidence of recurrent myocardial ischemia (e.g., angina, positive stress test, ischemic ECG changes)

Exclusion Criteria:

Presence of atrial fibrillation
Current use of oral anticoagulant therapy (e.g., rivaroxaban, apixaban, dabigatran)
Diagnosis of acute coronary syndrome (ACS) at the time of admission
A detailed flowchart of patient selection, including inclusion and exclusion criteria, is presented in Figure 1.

Residual Platelet Reactivity Assessment

Residual platelet reactivity (RPR) was evaluated using the VerifyNow P2Y12 assay (Instrumentation Laboratory, Bedford, MA, USA), a point-of-care system that quantifies platelet inhibition and reports results as P2Y12 Reaction Units (PRU). High residual platelet reactivity (HRPR) was defined as PRU ≥208, in accordance with current international consensus guidelines.

Clinical and Laboratory Data Collection

Baseline demographic, clinical, and pharmacological characteristics were extracted from electronic medical records. The following parameters were systematically evaluated:
Lipid profile: Total cholesterol, LDL-C, HDL-C, triglycerides
Renal function: Serum creatinine and estimated glomerular filtration rate (eGFR) to identify chronic kidney disease (CKD)
Hemoglobin level: Assessed for anemia according to WHO criteria
Left ventricular ejection fraction (LVEF): Measured via transthoracic echocardiography
Body mass index (BMI): Used to classify overweight and obesity
Cardiovascular complications: Including heart failure, diabetes mellitus, and prior myocardial infarction
All patients were treated with guideline-directed medical therapy in accordance with the 2024 European Society of Cardiology (ESC) recommendations for the management of chronic coronary syndromes.

Ethical Considerations

The study was conducted in accordance with the ethical principles of the Declaration of Helsinki. Ethical approval was obtained from the Local Ethics Committee of Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan (Protocol No. 11(134); Date: 04 November 2022). Written informed consent was obtained from all participants prior to enrollment.

Statistical Analysis

The data are presented as Median [Quartile 1; Quartile 3], as the majority of the quantitative variables do not follow a normal distribution. Between-group comparisons were performed using the Mann–Whitney U test for quantitative variables, or the chi-squared test (Fisher’s exact test when the number of observations was small) for qualitative variables. Categorical variables were expressed as frequencies and percentages. Normality of continuous variables, including PRU values, was assessed using the Shapiro–Wilk test. For comparisons of continuous variables between groups (e.g., HRPR vs. non-HRPR) Mann–Whitney U test was used as appropriate. Categorical variables were analyzed using the Chi-square test or Fisher’s exact test. A stepwise logistic regression analysis was performed to identify predictors associated with the risk of stenting after coronary artery bypass grafting (CABG). A p-value < 0.05 was considered statistically significant. All statistical tests were two-sided, and 95% confidence intervals (CIs) were reported when relevant.

3. Results

A total of 195 post-CABG patients were included in the final analysis. Among them, 136 patients (69.7%) underwent repeat percutaneous coronary intervention (PCI), whereas 59 patients (30.3%) did not require reintervention. Baseline demographic, clinical, laboratory, and instrumental characteristics were systematically compared between the two groups (Table 1).

Demographic and Clinical Characteristics

Patients requiring repeat PCI were significantly older than those without reintervention (median age: 71.0 [IQR 65.8–75.0] vs. 66.0 [61.5–73.0] years; p = 0.016). No significant difference in sex distribution was observed (p = 0.431). Current smoking was more frequent in the non-reintervention group (54.2% vs. 28.7%; p = 0.001), whereas alcohol consumption rates were low and comparable (p = 0.164). Systolic blood pressure was higher in the repeat PCI group (130 [120–140] vs. 120 [110–130] mmHg; p = 0.041), while diastolic pressure did not differ significantly.

Comorbidities and Medical History

The prevalence of hypertension, diabetes mellitus, prior myocardial infarction, stroke, chronic kidney disease (CKD), anemia, and obesity was similar between groups. However, a higher frequency of prior CABG was noted among patients undergoing reintervention (96.3% vs. 83.1%; p = 0.003).

Biochemical and Hematological Parameters

No significant group differences were found in lipid profile (total cholesterol, LDL-C, HDL-C, triglycerides), glycemic control (glucose, HbA1c), renal function (creatinine, eGFR), liver enzymes (ALT, AST), inflammatory markers (CRP), or thyroid function (TSH, T4). Interestingly, cardiac troponin levels were lower in the reintervention group (14.3 [10.3–32.8] vs. 20.0 [13.4–95.4] ng/L; p = 0.002), possibly reflecting differences in post-CABG myocardial injury dynamics.

Platelet Reactivity

Patients undergoing repeat PCI exhibited significantly higher platelet reactivity. Median PRU was 230 [200–274] versus 145 [140–155] (p < 0.001). Moreover, high residual platelet reactivity (HRPR) was present in 66.2% of the reintervention group compared to 0% in the control group (p < 0.001).

Echocardiographic Findings

End-diastolic volume (EDV) was lower in the reintervention group (136 [113–179] vs. 162 [129–206] mL; p = 0.038). Posterior wall thickness (PWT) was also higher (1.10 [1.00–1.20] vs. 1.05 [0.90–1.20] cm; p = 0.030). No significant differences were observed for LVEF, stroke volume, left atrial/ventricular dimensions, or pulmonary artery pressure.

Coronary Angiographic Findings

Patients with repeat PCI demonstrated more extensive coronary artery disease. Significant stenosis was more frequently detected in:
LAD: 52.9% vs. 27.1% (p = 0.002)
LCx: 37.5% vs. 13.6% (p = 0.002)
Diagonal branch: 30.9% vs. 8.5% (p = 0.001)
PDA: 16.9% vs. 1.7% (p = 0.006)
SVGs: 25.0% vs. 5.1% (p = 0.002)
The number of bypass grafts (3.00 [2.00–3.00] vs. 2.00 [2.00–3.00]; p < 0.001) and diseased vessels (4.00 [3.75–5.00] vs. 3.00 [2.00–3.00]; p < 0.001) was also higher in the reintervention group.

Medical Therapy

All patients received statin therapy. Ezetimibe was prescribed more frequently in the reintervention group (34.6% vs. 0%; p < 0.001), suggesting intensified lipid-lowering strategies in patients with progressive disease.

Symptoms and Outcomes

Persistent angina post-CABG was reported in all reintervention patients compared to 88.1% in the control group (p < 0.001). No significant difference in post-CABG mortality was observed.

Summary of Key Findings

High residual platelet reactivity was strongly associated with repeat revascularization.
Older age, greater coronary involvement, and higher number of bypass grafts predicted the need for reintervention.
Despite similar baseline lipid levels, patients requiring repeat PCI were more frequently prescribed ezetimibe.
The prevalence of anemia, CKD, and diabetes was similar between groups, suggesting HRPR and coronary disease burden play a more central role in post-CABG ischemic recurrence.
A total of 195 patients with a history of coronary artery bypass grafting (CABG) were included in the analysis. Based on platelet reactivity (PRU) and clinical criteria, patients were stratified into two groups: those who achieved the therapeutic window for antiplatelet therapy (n = 105) and those classified as having a high residual thrombotic risk (HRTR; n = 90). Comparative analyses of demographic, clinical, laboratory, and angiographic characteristics were performed (Table 2).

Demographic and Clinical Characteristics

No significant differences were observed between the groups regarding age (69.0 [62.0–74.0] vs. 70.5 [65.2–75.0] years; p = 0.147), sex distribution (p = 0.871), or body mass index (BMI; p = 0.096). Interestingly, the prevalence of current smoking was lower in the HRTR group compared with the therapeutic window group (27.8% vs. 43.8%; p = 0.030). Patients in the HRTR group exhibited significantly higher systolic blood pressure (130 [120–140] vs. 120 [115–130] mmHg; p = 0.031) and fasting glucose levels (5.90 [5.23–7.10] vs. 5.54 [5.00–6.20] mmol/L; p = 0.022). A prior history of stroke was also more frequent in the HRTR group (13.3% vs. 3.81%; p = 0.031).

Angiographic Findings

Patients with HRTR had more extensive coronary artery disease, with significantly higher rates of multivessel involvement. Severe stenoses were more prevalent in the proximal left anterior descending artery (57.8% vs. 34.3%; p = 0.002), left circumflex artery (42.2% vs. 20.0%; p = 0.001), diagonal branches (34.4% vs. 15.2%; p = 0.003), posterior descending artery (21.1% vs. 4.76%; p = 0.001), and venous bypass grafts (33.3% vs. 6.67%; p < 0.001). Furthermore, the HRTR group had a higher number of diseased vessels (4.00 [4.00–5.00] vs. 3.00 [2.00–3.00]; p < 0.001) and bypass grafts (3.00 [2.00–4.00] vs. 2.00 [2.00–3.00]; p = 0.001).

Platelet Reactivity and Clinical Outcomes

Platelet reactivity was markedly elevated in the HRTR group (PRU: 255 [230–280] vs. 170 [141–200]; p < 0.001), indicating a suboptimal response to dual antiplatelet therapy. Consistently, all patients in the HRTR group underwent post-CABG stenting (100% vs. 43.8%; p < 0.001) and experienced recurrent angina (100% vs. 93.3%; p = 0.016).

Medical Therapy

All patients were treated with statins; however, ezetimibe was prescribed significantly more often in the HRTR group (47.8% vs. 3.81%; p < 0.001), reflecting attempts at intensified lipid-lowering therapy.

Summary of Findings

Patients classified as HRTR exhibited:
More extensive and severe coronary atherosclerosis;
Higher platelet reactivity despite dual antiplatelet therapy;
Increased frequency of recurrent angina and need for repeat revascularization;
Greater use of adjunctive lipid-lowering therapy.
These findings emphasize the role of HRTR as a marker of poor outcomes in post-CABG patients and underscore the importance of individualized antiplatelet and lipid-lowering strategies in this high-risk population.
A stepwise logistic regression analysis was performed to identify predictors associated with the risk of stenting after coronary artery bypass grafting (CABG). Due to the relatively small sample size (n = 195) and a large number of potential covariates, a stepwise forward/backward selection algorithm was employed (Table 3, picture 1).
Figure 2. Stepwise logistic regression: predictors associated with the risk of developing stenting after CABG.
Figure 2. Stepwise logistic regression: predictors associated with the risk of developing stenting after CABG.
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Among the variables included in the regression analysis, the number of affected vessels emerged as the strongest and statistically significant predictor of post-CABG stenting. Patients with more extensive coronary involvement had markedly higher odds of requiring stent implantation (Odds Ratio [OR] = 52.67; 95% CI: 17.33–213.77; p < 0.001).
Conversely, the use of ezetimibe was independently associated with a significantly lower risk of stenting (OR = 0.12; 95% CI: 0.02–0.75; p = 0.023), suggesting a potential protective effect of this lipid-lowering therapy in the postoperative setting.
Other factors, including thyroid-stimulating hormone (TSH) levels (OR = 0.87; 95% CI: 0.72–1.00; p = 0.116), serum potassium (OR = 2.53; 95% CI: 0.78–8.59; p = 0.127), and glycated hemoglobin (HbA1c) (OR = 1.18; 95% CI: 0.95–1.46; p = 0.138), did not reach statistical significance but were retained in the final model as clinically relevant covariates.
The regression model demonstrated good explanatory power, with a Tjur’s R² of 0.681, indicating that a substantial proportion of the variance in stenting risk was explained by the selected predictors.
Collectively, these findings emphasize the critical role of disease burden in determining the need for repeat revascularization, while also highlighting the potential benefit of ezetimibe as part of intensified secondary prevention strategies in post-CABG patients.

DISCUSSION

Our study highlights the substantial burden of recurrent ischemia and the high rate of re-intervention among post-CABG patients in a real-world clinical setting. Recurrent ischemic symptoms were observed in 94% (n = 188) of patients, with 68% requiring repeat PCI. These findings reflect the ongoing progression of atherosclerosis and/or incomplete revascularization, underscoring the challenges of long-term secondary prevention in this population. The role of platelets in arterial thrombosis is well established, particularly in patients with coronary heart disease (CHD) who are on antiplatelet therapy, which has been shown to reduce the risk of major adverse cardiovascular events. Hemoglobin levels also serve as a critical prognostic marker in patients with chronic heart failure (CHF), where anemia is a frequent comorbidity and is associated with increased risks of hospitalization and mortality [2]. Patients with HRPR who undergo percutaneous coronary intervention (PCI) with stent placement while receiving clopidogrel therapy are at elevated risk for recurrent ischemic events. Notably, residual platelet reactivity and HRPR levels have been found to increase in parallel with declining kidney function [3]. Smoking, a well-known risk factor for CHD and MI, is also strongly associated with increased platelet reactivity. When combined with HRPR, smoking further elevates the risk of stent thrombosis [4]. Dyslipidemia contributes to heightened platelet reactivity and thrombotic risk. Elevated cholesterol levels are known to enhance platelet activation and aggregation [5]. Similarly, the extent of coronary atherosclerosis correlates positively with platelet reactivity, suggesting that increased HRPR reflects more widespread atherosclerotic involvement [6]. Anemia has been shown to impair responsiveness to clopidogrel, thus contributing to elevated HRPR [7], while renal dysfunction is also independently associated with increased platelet reactivity [8]. HRPR is recognized as a poor prognostic marker in acute coronary syndrome (ACS) [9]. Moreover, grade 1 obesity has been linked to higher HRPR in patients undergoing antiplatelet therapy [10]. In patients undergoing CABG, alterations in the hemostatic system due to cardiopulmonary bypass may further contribute to increased platelet reactivity [11]. The primary association between HRPR and cardiovascular risk is mediated through enhanced platelet activation, which accelerates thrombus formation [12]. HRPR is therefore regarded as an independent risk factor for a range of serious complications, including myocardial infarction, stent thrombosis, and cardiovascular death [13]. Platelets are directly involved in thrombus formation following the rupture of atherosclerotic plaques in the coronary arteries [14], and individuals with HRPR are at significantly higher risk of recurrent ischemic events [15].
Despite adherence to the 2024 European Society of Cardiology (ESC) guidelines for the management of chronic coronary syndromes, a considerable proportion of patients continued to experience ischemic symptoms. This suggests the persistence of residual risk factors, including dyslipidemia and high platelet reactivity, as well as difficulties in achieving recommended LDL-C targets.
A key driver of recurrent ischemia was persistent dyslipidemia, with most patients failing to reach LDL-C goals despite statin therapy. Limited access to more potent lipid-lowering therapies (e.g., ezetimibe, PCSK9 inhibitors) further contributed to this gap. In Kazakhstan, these medications are not included in the national reimbursement list and are therefore not provided free of charge, which likely explains the underutilization of combination lipid-lowering therapy and the near-universal failure to achieve LDL-C targets [16].
Another important finding was the high prevalence of residual platelet reactivity, as measured by aggregometry in patients receiving dual antiplatelet therapy. This phenotype is known to be associated with increased thrombotic risk, recurrent ischemia, and a higher likelihood of stent failure, which is consistent with our observation of frequent post-CABG revascularization. In addition, comorbid conditions such as anemia, chronic kidney disease, and heart failure were common and likely amplified residual cardiovascular risk. These results are in line with previous reports demonstrating that non-cardiac comorbidities significantly impair long-term outcomes after surgical revascularization. Taken together, our findings point to distinct clinical phenotypes—such as dyslipidemic-thrombotic or cardio-renal-anemic—that may benefit from individualized post-operative management rather than uniform treatment protocols. This approach is particularly relevant in underrepresented regions such as Central Asia, where healthcare resource limitations further complicate secondary prevention.

LIMITATIONS

This study has several limitations. First, it was a retrospective, single-center analysis conducted at the National Research Institute of Cardiology and Internal Medicine, Almaty, Kazakhstan. Although patients were referred from diverse regions, many represented complex or refractory cases of coronary artery disease. Consequently, the findings may not be generalizable to the broader post-CABG population, especially those with less severe clinical presentations or treated at primary-level facilities. Additionally, key parameters such as inflammatory biomarkers or genetic determinants of platelet resistance were not consistently available due to real-world practice constraints.

CONCLUSIONS

Residual dyslipidemia and platelet hyperreactivity remain prevalent and clinically significant contributors to recurrent ischemia and repeat revascularization after CABG. Patients requiring repeat PCI had more extensive coronary involvement, elevated platelet reactivity reflecting suboptimal antiplatelet response, and were more frequently prescribed intensified lipid-lowering therapy. Importantly, the extent of vascular disease and ezetimibe use emerged as independent predictors of stenting risk. These results underscore the need for personalized strategies in lipid-lowering and antiplatelet therapy to optimize outcomes in this high-risk population. Tailored phenotype-guided approaches are especially critical in Kazakhstan, where limited access to advanced therapies may exacerbate residual risk and impede secondary prevention efforts.

Supplementary Materials

The following supporting information can be downloaded at: Preprints.org, Figure S1. The flow chart of patients; Figure S2: Stepwise logistic regression: predictors associated with the risk of developing stenting after CABG; Table S1: Descriptive statistics of the group without re-stenting and with re-stenting; Table S2: Descriptive statistics of the Therapeutic window/HRPR group; Table S3: Stepwise logistic regression: predictors associated with the risk of developing stenting after CABG.

Author Contributions

Conceptualization, A.M., L.D., Sh.Zh, F.N., D.K. and A.S; methodology, A.M., L.D., Sh.Zh, F.N., D.K. and A.S.; formal analysis, A.M., Sh.Zh, F.N., D.K., A.S., O.S., F.R. and D.A.; in-vestigation, A.M., Sh.Zh, F.N., D.K., O.S., F.R. and D.A.; resources, A.M., Sh.Zh., D.К., F.N., O.S. and D.A.; data curation, A.M., Sh.Zh., F.N., D.K. and D.A.; writing—original draft, A.M., Sh.Zh., F.N., D.К., O.S., D.A. and A.S.; writing—review and editing, A.M., F.N., O.S., D.K. and F.R..; visualization, L.D., Sh.Zh., D.K., F.N., O.S., F.R., and D.A; supervision, A.M., L.D. and Sh.Zh. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan “Improving the outcomes of surgical myocardial revascularization based on the development of comprehensive innovative management of pa-tients after intervention”, grant number “IRN AR19680319”.

Institutional Review Board Statement

The study was conducted in accordance with the Declara-tion of Helsinki, and approved by the Local Ethics Committee of Asfendiyarov Kazakh national medical university, Almaty, Republic of Kazakhstan (protocol code 11(134), date of approval 04.11.2022).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

The authors would like to thank the JSC "Research Institute of Cardiology and Internal Medicine", Almaty, Republic of Kazakhstan, for support and assistance in initiating the study: Roza Kuanyshbekova, Marat Pashimov, Rustem Tuleutaev and a group of researchers who presented patient data: Asem Amantayeva, Madina Nurzhanova, Dania Sen-kibayeva, Irina Vorontsova, Gulnara Ospanova, Natalia Gordina, Talshyn Kalioldaeva, Әygerim Nagimatullaeva, Elvira Rakhmetulaeva, Zhanar Nurbay, and independent professor Dmitriy Polyakov.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ACS Acute coronary syndrome
ASCVD Atherosclerotic cardiovascular disease
BMI Body mass index
CA Circumflex artery
CABG Coronary artery bypass grafting
CHD Coronary heart disease
CHF Congestive heart failure
CRP C-reactive protein
CVDs Cardiovascular diseases
DB Diagonal branch
DBP Diastolic blood pressure
EDD End-diastolic dimension
EDV End-diastolic volume
EF Election fravtion
ESD End-systolic dimension
ESV End-systolic volume
GFR Glomerular filtration rate
HRPR High residual platelet reactivity
IA Intermediate artery
IHD Ischemic heart disease
IVS Intraventricular septum
LA Left atrium
LAD Left anterior descending
LCA Left coronary artery
LD Linear dichroism
LDL-C Low-density lipoprotein cholesterol
LV Left ventricular
LVPW Left ventricular posterior wall
МАСЕ Major Adverse Cardiovascular Events
OMB Obtuse marginal branch
PIVB Posterior interventricular branch
RCA Right coronary artery
RPR Residual platelet reactivity
RV Right ventricular
SBP Systolic blood pressure
sPAP Systolic pulmonary artery pressure
SV Stroke volume
TG Tryglicerides
MV Mitral Valve
TV Tricuspid Valve
AV Aortic Valve
AH Arterial Hypertension
TSH thyroid-stimulating hormone
USD BCA Ultrasound of Brachiocephalic Arteries

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  15. Franchi, F., Rollini, F., & Angiolillo, D. J. (2015). Defining the link between chronic kidney disease, high platelet reactivity, and clinical outcomes in clopidogrel-treated patients undergoing percutaneous coronary intervention. Circulation. Cardiovascular interventions, 8(6), e002760. [CrossRef]
  16. François Mach, Konstantinos C Koskinas, Jeanine E Roeters van Lennep, Lale Tokgözoğlu, Lina Badimon, Colin Baigent, Marianne Benn, Christoph J Binder, Alberico L Catapano, Guy G De Backer, Victoria Delgado, Natalia Fabin, Brian A Ference, Ian M Graham, Ulf Landmesser, Ulrich Laufs, Borislava Mihaylova, Børge Grønne Nordestgaard, Dimitrios J Richter, Marc S Sabatine, ESC/EAS Scientific Document Group , 2025 Focused Update of the 2019 ESC/EAS Guidelines for the management of dyslipidaemias: Developed by the task force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and the European Atherosclerosis Society (EAS), European Heart Journal, 2025; ehaf190. [CrossRef]
Figure 1. The flow chart of patients.
Figure 1. The flow chart of patients.
Preprints 178736 g001
Table 1. Descriptive statistics of the group without re-stenting and with re-stenting.
Table 1. Descriptive statistics of the group without re-stenting and with re-stenting.
Without
re-stenting
With
re-stenting
p-value N
N=59 N=136
Age 66.0 [61.5;73.0] 71.0 [65.8;75.0] 0.016 195
Gender: 0.431 195
female 13 (22.0%) 39 (28.7%)
male 46 (78.0%) 97 (71.3%)
Smoking: 0.001 195
No 27 (45.8%) 97 (71.3%)
Yes 32 (54.2%) 39 (28.7%)
Alcohol: 0.164 195
No 56 (94.9%) 134 (98.5%)
Yes 3 (5.08%) 2 (1.47%)
Weight 79.0 [70.0;86.5] 78.5 [70.0;85.8] 0.903 195
Height 170 [164;174] 168 [162;173] 0.438 195
BMI 27.3 [24.9;29.4] 27.6 [25.0;30.2] 0.411 195
Heredity: 0.874 195
No 37 (62.7%) 82 (60.3%)
Yes 22 (37.3%) 54 (39.7%)
Dyspnea: 0.776 194
No 5 (8.47%) 10 (7.41%)
Yes 54 (91.5%) 125 (92.6%)
Edema: 0.190 195
No 55 (93.2%) 116 (85.3%)
Yes 4 (6.78%) 20 (14.7%)
Pain: 0.726 195
No 2 (3.39%) 7 (5.15%)
Yes 57 (96.6%) ? 129 (94.9%)
Weakness: 0.104 195
No 0 (0.00%) 7 (5.15%)
Yes 59 (100%) 129 (94.9%)
Heartbeat: 0.451 195
No 53 (89.8%) 115 (84.6%)
Yes 6 (10.2%) 21 (15.4%)
Short of breath: 0.961 195
No 43 (72.9%) 97 (71.3%)
Yes 16 (27.1%) 39 (28.7%)
SBP 120 [110;130] 130 [120;140] 0.041 195
DBP 80.0 [70.0;80.0] 80.0 [70.0;80.0] 0.201 195
History of myocardial infarction: 0.145 195
No 33 (55.9%) 59 (43.4%)
Yes 26 (44.1%) 77 (56.6%)
АH: 0.133 195
No 5 (8.47%) 4 (2.94%)
Yes 54 (91.5%) 132 (97.1%)
DM type 2: 0.603 195
No 42 (71.2%) 90 (66.2%)
Yes 17 (28.8%) 46 (33.8%)
History of Stroke: 0.400 195
No 56 (94.9%) 123 (90.4%)
Yes 3 (5.08%) 13 (9.56%)
CKD: 0.068 195
No 39 (66.1%) 69 (50.7%)
Yes 20 (33.9%) 67 (49.3%)
Stenting: 0.712 195
No 47 (79.7%) 113 (83.1%)
Yes 12 (20.3%) 23 (16.9%)
CABG: 0.003 195
No 10 (16.9%) 5 (3.68%)
Yes 49 (83.1%) 131 (96.3%)
IHD, duration 3.00 [1.00;6.50] 2.50 [1.00;10.0] 0.364 195
Hemoglobin 142 [132;154] 145 [135;155] 0.542 195
СRP 2.00 [1.24;3.56] 2.45 [1.03;4.22] 0.487 195
Glucose 5.54 [5.12;6.30] 5.80 [5.16;6.93] 0.293 195
HbA1c 6.01 [5.30;6.70] 6.05 [5.40;7.33] 0.403 195
Creatinine 80.4 [70.6;90.2] 79.0 [70.8;92.2] 0.952 195
GFR 88.0 [75.8;96.0] 81.0 [69.8;94.2] 0.279 195
Potassium 4.40 [4.20;4.60] 4.30 [4.10;4.60] 0.590 195
Sodium 142 [140;144] 142 [141;144] 0.268 195
ALT 19.0 [14.1;28.5] 18.1 [12.9;25.7] 0.453 195
AST 17.3 [13.8;25.9] 17.9 [14.9;23.1] 0.977 195
TC 4.24 [3.41;5.25] 4.50 [3.70;5.22] 0.419 195
LDL 2.58 [2.00;3.17] 2.42 [2.00;3.20] 0.569 195
HDL 1.00 [0.99;1.00] 1.00 [0.96;1.03] 0.809 195
ТG 1.50 [1.00;1.98] 1.29 [1.00;1.75] 0.083 195
Troponin I 20.0 [13.4;95.4] 14.3 [10.3;32.8] 0.002 195
TSH 2.00 [1.47;2.90] 2.00 [1.39;3.15] 0.773 195
Thyroxine 14.1 [12.0;16.0] 14.0 [11.6;16.2] 0.945 193
PTI 94.9 [80.3;103] 95.8 [77.5;105] 0.627 195
INR 1.07 [1.04;1.17] 1.04 [0.99;1.14] 0.039 195
APTT 31.1 [28.8;36.5] 31.6 [28.7;35.7] 0.737 195
EDV 162 [129;206] 136 [113;179] 0.038 195
ESV 80.0 [45.5;116] 61.5 [45.8;95.2] 0.222 195
SV 78.0 [69.5;87.5] 77.5 [59.8;92.2] 0.466 195
sPAP 32.0 [23.0;44.0] 35.0 [24.5;42.0] 0.917 194
EF 47.0 [41.5;59.0] 52.0 [44.0;59.2] 0.235 195
LA 3.80 [3.60;4.55] 3.90 [3.50;4.40] 0.638 195
EDD 5.70 [5.20;6.30] 5.30 [4.97;6.00] 0.081 195
ESD 4.20 [3.35;4.90] 3.80 [3.30;4.60] 0.240 195
LVPW 1.05 [0.90;1.20] 1.10 [1.00;1.20] 0.030 195
IVS 1.10 [0.95;1.27] 1.10 [1.00;1.30] 0.924 195
МV: 0.858 195
No 4 (6.78%) 13 (9.56%)
1 degree. 36 (61.0%) 75 (55.1%)
2 degree. 13 (22.0%) 36 (26.5%)
3 degree. 6 (10.2%) 11 (8.09%)
4 degree. 0 (0.00%) 1 (0.74%)
ТV: 0.437 195
No 9 (15.3%) 22 (16.2%)
1 degree. 32 (54.2%) 67 (49.3%)
2 degree. 16 (27.1%) 46 (33.8%)
3 degree. 2 (3.39%) 1 (0.74%)
AV: 0.309 195
No 30 (50.8%) 71 (52.2%)
1 degree. 22 (37.3%) 49 (36.0%)
2 degree. 5 (8.47%) 15 (11.0%)
3 degree. 0 (0.00%) 1 (0.74%)
Stenosis 2 (3.39%) 0 (0.00%)
RV 3.00 [2.80;3.40] 3.10 [2.90;3.40] 0.566 195
LV aneurysm: 0.990 195
No 50 (84.7%) 117 (86.0%)
Yes 9 (15.3%) 19 (14.0%)
Heart Rate 75.0 [66.0;82.0] 71.5 [65.0;83.2] 0.496 195
USD of BCA: 1.000 195
No 24 (40.7%) 56 (41.2%)
Yes 35 (59.3%) 80 (58.8%)
RCA, degree: 0.117 195
minor 44 (74.6%) 84 (61.8%)
significant 15 (25.4%) 52 (38.2%)
LAD, degree: 0.002 195
Minor 43 (72.9%) 64 (47.1%)
Significant 16 (27.1%) 72 (52.9%)
LCA, degree: 0.235 195
Minor 55 (93.2%) 117 (86.0%)
Significant 4 (6.78%) 19 (14.0%)
CА, degree: 0.002 195
Minor 51 (86.4%) 85 (62.5%)
significant 8 (13.6%) 51 (37.5%)
DB, degree: 0.001 195
Minor 54 (91.5%) 94 (69.1%)
significant 5 (8.47%) 42 (30.9%)
PIVB, degree: 0.006 195
Minor 58 (98.3%) 113 (83.1%)
Significant 1 (1.69%) 23 (16.9%)
IА, degree: 0.369 195
Minor 56 (94.9%) 133 (97.8%)
significant 3 (5.08%) 3 (2.21%)
OMB, degree: 0.002 195
Minor 56 (94.9%) 102 (75.0%)
Significant 3 (5.08%) 34 (25.0%)
Number of shunts 2.00 [2.00;3.00] 3.00 [2.00;3.00] <0.001 195
Number of affected vessels 3.00 [2.00;3.00] 4.00 [3.75;5.00] <0.001 195
Statins: Yes 59 (100%) 136 (100%) . 195
Ezetimibe: <0.001 195
No 59 (100%) 89 (65.4%)
Yes 0 (0.00%) 47 (34.6%)
Angina after CABG: <0.001 195
No 7 (11.9%) 0 (0.00%)
Yes 52 (88.1%) 136 (100%)
Mortality after CABG: 1.000 195
No 58 (98.3%) 132 (97.1%)
Yes 1 (1.69%) 4 (2.94%)
Stenting after CABG: <0.001 195
No 59 (100%) 0 (0.00%)
Yes 0 (0.00%) 136 (100%)
PRU 145 [140;155] 230 [200;274] <0.001 195
Dyslipidemia: 1.000 195
No 2 (3.39%) 4 (2.94%)
Yes 57 (96.6%) 132 (97.1%)
Anemia: 0.941 195
No 52 (88.1%) 122 (89.7%)
Yes 7 (11.9%) 14 (10.3%)
CKD: 0.977 195
No 53 (89.8%) 124 (91.2%)
Yes 6 (10.2%) 12 (8.82%)
Obesity: 0.406 195
No 17 (28.8%) 30 (22.1%)
Yes 42 (71.2%) 106 (77.9%)
RPR: <0.001 195
Therapeutic window 59 (100%) 46 (33.8%)
HRPR 0 (0.00%) 90 (66.2%)
Table 2. Descriptive statistics of the Therapeutic window/HRPR group.
Table 2. Descriptive statistics of the Therapeutic window/HRPR group.
Therapeutic window HRPR p-value N
N=105 N=90
Age 69.0 [62.0;74.0] 70.5 [65.2;75.0] 0.147 195
Gender: 0.871 195
female 29 (27.6%) 23 (25.6%)
male 76 (72.4%) 67 (74.4%)
Smoking: 0.030 195
No 59 (56.2%) 65 (72.2%)
Yes 46 (43.8%) 25 (27.8%)
Alcohol: 1.000 195
No 102 (97.1%) 88 (97.8%)
Yes 3 (2.86%) 2 (2.22%)
Weight 78.0 [69.0;85.0] 80.0 [70.2;88.0] 0.199 195
Height 168 [163;174] 170 [162;173] 0.838 195
BMI 27.2 [25.0;29.4] 28.1 [25.9;30.6] 0.096 195
Heredity: 0.475 195
No 67 (63.8%) 52 (57.8%)
Yes 38 (36.2%) 38 (42.2%)
Dyspnea: 0.739 194
No 7 (6.67%) 8 (8.99%)
Yes 98 (93.3%) 81 (91.0%)
Edema: 0.801 195
No 91 (86.7%) 80 (88.9%)
Yes 14 (13.3%) 10 (11.1%)
Pain: 0.510 195
No 6 (5.71%) 3 (3.33%)
Yes 99 (94.3%) 87 (96.7%)
Weakness: 0.252 195
No 2 (1.90%) 5 (5.56%)
Yes 103 (98.1%) 85 (94.4%)
Heartbeat: 1.000 195
No 90 (85.7%) 78 (86.7%)
Yes 15 (14.3%) 12 (13.3%)
Short of breath: 0.778 195
No 74 (70.5%) 66 (73.3%)
Yes 31 (29.5%) 24 (26.7%)
SBP 120 [115;130] 130 [120;140] 0.031 195
DBP 80.0 [70.0;80.0] 80.0 [70.0;80.0] 0.320 195
History of myocardial infarction: 0.394 195
No 53 (50.5%) 39 (43.3%)
Yes 52 (49.5%) 51 (56.7%)
АH: 0.510 195
No 6 (5.71%) 3 (3.33%)
Yes 99 (94.3%) 87 (96.7%)
DM type 2: 0.293 195
No 75 (71.4%) 57 (63.3%)
Yes 30 (28.6%) 33 (36.7%)
History of Stroke: 0.031 195
No 101 (96.2%) 78 (86.7%)
Yes 4 (3.81%) 12 (13.3%)
CKD: 0.697 195
No 60 (57.1%) 48 (53.3%)
Yes 45 (42.9%) 42 (46.7%)
Stenting: 0.897 195
No 87 (82.9%) 73 (81.1%)
Yes 18 (17.1%) 17 (18.9%)
CABG: 0.065 195
No 12 (11.4%) 3 (3.33%)
Yes 93 (88.6%) 87 (96.7%)
IHD, duration 2.00 [1.00;8.00] 3.00 [1.00;9.75] 0.888 195
Hemoglobin 142 [132;154] 150 [136;156] 0.053 195
СRP 2.36 [1.27;4.10] 2.29 [1.02;4.13] 0.853 195
Glucose 5.54 [5.00;6.20] 5.90 [5.23;7.10] 0.022 195
HbA1c 6.01 [5.38;6.70] 6.06 [5.52;7.83] 0.282 195
Creatinine 80.0 [71.0;91.8] 79.0 [70.3;92.7] 0.890 195
GFR 87.0 [74.0;96.0] 81.0 [70.0;92.5] 0.361 195
Potassium 4.30 [4.10;4.50] 4.35 [4.10;4.60] 0.267 195
Sodium 142 [141;144] 142 [140;144] 0.931 195
ALT 18.0 [12.0;27.5] 19.0 [14.0;26.4] 0.473 195
AST 17.6 [13.8;25.8] 17.7 [15.0;22.7] 0.934 195
TC 4.30 [3.67;5.27] 4.50 [3.63;5.20] 0.571 195
LDL 2.43 [2.00;3.10] 2.64 [2.00;3.39] 0.546 195
HDL 1.00 [0.98;1.01] 1.00 [0.96;1.04] 0.684 195
ТG 1.37 [1.00;1.80] 1.38 [1.00;1.79] 0.981 195
Troponin I 15.0 [11.0;58.7] 15.0 [11.0;40.0] 0.635 195
TSH 2.00 [1.60;3.00] 1.96 [1.25;3.18] 0.517 195
Thyroxine 13.9 [11.5;16.2] 14.7 [12.3;16.3] 0.335 193
PTI 94.5 [80.0;103] 96.3 [78.5;106] 0.209 195
INR 1.06 [1.01;1.16] 1.04 [1.00;1.15] 0.189 195
APTT 31.4 [29.0;35.9] 31.4 [28.6;36.0] 0.524 195
EDV 157 [119;194] 131 [113;174] 0.053 195
ESV 72.0 [44.0;108] 60.0 [46.0;91.2] 0.256 195
SV 78.0 [65.0;91.0] 77.0 [59.0;90.0] 0.268 195
sPAP 34.0 [23.8;44.0] 35.0 [20.8;40.8] 0.624 194
EF 49.0 [41.0;60.0] 51.7 [45.0;58.9] 0.459 195
LA 3.80 [3.50;4.40] 3.80 [3.60;4.40] 0.907 195
EDD 5.60 [5.10;6.20] 5.20 [4.90;5.90] 0.043 195
ESD 4.00 [3.30;4.80] 3.74 [3.40;4.38] 0.394 195
LVPW 1.10 [0.90;1.20] 1.10 [1.00;1.20] 0.087 195
IVS 1.10 [1.00;1.30] 1.10 [0.90;1.30] 0.366 195
МV: 0.291 195
No 7 (6.67%) 10 (11.1%)
1 degree. 62 (59.0%) 49 (54.4%)
2 degree. 24 (22.9%) 25 (27.8%)
3 degree. 12 (11.4%) 5 (5.56%)
4 degree. 0 (0.00%) 1 (1.11%)
ТV: 0.717 195
No 14 (13.3%) 17 (18.9%)
1 degree. 55 (52.4%) 44 (48.9%)
2 degree. 34 (32.4%) 28 (31.1%)
3 degree. 2 (1.90%) 1 (1.11%)
AV: 0.070 195
No 51 (48.6%) 50 (55.6%)
1 degree. 44 (41.9%) 27 (30.0%)
2 degree. 7 (6.67%) 13 (14.4%)
3 degree. 1 (0.95%) 0 (0.00%)
Stenosis 2 (1.90%) 0 (0.00%)
RV 3.00 [2.90;3.40] 3.10 [2.90;3.30] 0.893 195
LV aneurysm: 0.862 195
No 89 (84.8%) 78 (86.7%)
Yes 16 (15.2%) 12 (13.3%)
Heart Rate 74.0 [66.0;83.0] 70.5 [65.0;82.0] 0.483 195
USD of BCA: 0.196 195
No 48 (45.7%) 32 (35.6%)
Yes 57 (54.3%) 58 (64.4%)
RCA, degree: 0.022 195
minor 77 (73.3%) 51 (56.7%)
significant 28 (26.7%) 39 (43.3%)
LAD, degree: 0.002 195
Minor 69 (65.7%) 38 (42.2%)
Significant 36 (34.3%) 52 (57.8%)
LCA, degree: 0.694 195
Minor 94 (89.5%) 78 (86.7%)
Significant 11 (10.5%) 12 (13.3%)
CА, degree: 0.001 195
Minor 84 (80.0%) 52 (57.8%)
significant 21 (20.0%) 38 (42.2%)
DB, degree: 0.003 195
Minor 89 (84.8%) 59 (65.6%)
significant 16 (15.2%) 31 (34.4%)
PIVB, degree: 0.001 195
Minor 100 (95.2%) 71 (78.9%)
Significant 5 (4.76%) 19 (21.1%)
IА, degree: 0.688 195
Minor 101 (96.2%) 88 (97.8%)
significant 4 (3.81%) 2 (2.22%)
OMB, degree: <0.001 195
Minor 98 (93.3%) 60 (66.7%)
Significant 7 (6.67%) 30 (33.3%)
Number of shunts 2.00 [2.00;3.00] 3.00 [2.00;4.00] 0.001 195
Number of affected vessels 3.00 [2.00;3.00] 4.00 [4.00;5.00] <0.001 195
Statins: Yes 105 (100%) 90 (100%) . 195
Ezetimibe: <0.001 195
No 101 (96.2%) 47 (52.2%)
Yes 4 (3.81%) 43 (47.8%)
Angina after CABG: 0.016 195
No 7 (6.67%) 0 (0.00%)
Yes 98 (93.3%) 90 (100%)
Mortality after CABG: 0.183 195
No 104 (99.0%) 86 (95.6%)
Yes 1 (0.95%) 4 (4.44%)
Stenting after CABG: <0.001 195
No 59 (56.2%) 0 (0.00%)
Yes 46 (43.8%) 90 (100%)
!!!
PRU 170 [141;200] 255 [230;280] <0.001 195
Dyslipidemia: 0.688 195
No 4 (3.81%) 2 (2.22%)
Yes 101 (96.2%) 88 (97.8%)
Anemia: 0.310 195
No 91 (86.7%) 83 (92.2%)
Yes 14 (13.3%) 7 (7.78%)
CKD: 0.689 195
No 94 (89.5%) 83 (92.2%)
Yes 11 (10.5%) 7 (7.78%)
Obesity: 0.462 195
No 28 (26.7%) 19 (21.1%)
Yes 77 (73.3%) 71 (78.9%)
RPR: <0.001 195
Therapeutic window 105 (100%) 0 (0.00%)
HRPR 0 (0.00%) 90 (100%)
Table 3. Stepwise logistic regression: predictors associated with the risk of developing stenting after CABG.
Table 3. Stepwise logistic regression: predictors associated with the risk of developing stenting after CABG.
HRPR
Predictors Odds Ratios CI p
Number of affected vessels 52.67 17.33 – 213.77 <0.001
ТSH 0.87 0.72 – 1.00 0.116
Ezetimibe: Yes 0.12 0.02 – 0.75 0.023
Potassium 2.53 0.78 – 8.59 0.127
Hb A 1 c 1.18 0.95 – 1.46 0.138
Observations 195
R2 Tjur 0.681
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