Association between kaolin-induced maximum amplitude and slow-flow/no-reflow in ST elevation myocardial infarction patients treated with primary percutaneous coronary intervention
Introduction
Although the relative incidence of ST elevation myocardial infarction (STEMI) is decreasing, the mortality is still high if patients do not receive immediate treatment [1]. Current guidelines recommend that patients with STEMI receive primary percutaneous coronary intervention (PCI) to re-open the culprit vessel, which can reduce infarct size and improve clinical prognosis [2,3]. However, 10–50% of patients fail to achieve adequate myocardial tissue reperfusion despite an open infarct-related artery [[4], [5], [6]]. This phenomenon was termed slow-flow or no-reflow [6]. STEMI patients with slow-flow/no-reflow have a two-fold higher risk of 5-year mortality than patients with normal flow [2]. Though some dealing with attempts to prevent or alleviate the slow-flow or no-reflow phenomenon have been reported, there is no consensus on how to deal with slow-flow or no-reflow [[7], [8], [9]]. Therefore, exploring the factors that predict the occurrence of slow-flow/no-reflow in patients with STEMI is helpful in adopting early risk stratification and identifying high-risk patients.
The underlying mechanisms of slow-flow/no-reflow are the structural disruption and dysfunction of coronary microcirculation, including the edema of endothelial and myocardial cells, platelet-leukocyte aggregation, microembolization, and impaired microvascular vasomotion [6]. During revascularization procedures, the iatrogenic or spontaneous rupture of an atherosclerotic plaque can be embolized into the coronary microcirculation if the blood flow is restored [10]. Therefore, the intrinsic hemostatic properties may influence the risk of slow-flow/no-reflow, and thrombus aspiration can reduce the occurrence of no-reflow in STEMI patients who undergo PCI [11]. The proper assessment of biological thrombus burden indicators may lower the risk of slow-flow/no-reflow. Previous studies reported that plasma d-dimer and fibrinogen concentrations were elevated in STEMI patients with no-reflow [12,13]. However, these levels were influenced by age and infection status [14]. Studies of the predictive role of d-dimer or fibrinogen in coronary no-reflow have been inconsistent [11,[15], [16], [17]].
The blood coagulation process involves multiple elements, such as platelets, procoagulants, anticoagulants, and fibrinolytic factors. A comprehensive evaluation of the impact of these components on thrombosis will aid in reducing the occurrence of slow blood flow/no-reflow in patients with STEMI. Thromboelastography (TEG) is a whole-blood assay that reveals the dynamic viscoelastic properties of blood clot generation [18]. Kaolin-induced maximum amplitude (MAthrombin) represents the maximum platelet-fibrin clot strength, which is influenced by platelet count, platelet function, and fibrinogen. MAthrombin can be used as a biological indicator of the severity of thrombus burden and predict the risk of ischemic events [19,20]. The present study investigated the predictive value of MAthrombin for slow-flow/no-reflow and clinical prognosis in STEMI patients who underwent primary PCI.
Section snippets
Study population
The study was conducted retrospectively on consecutive STEMI patients who underwent primary PCI from January 2015 to December 2019 at China-Japan Friendship Hospital. The exclusion criteria were as follows: (1) pain-to-balloon period >24 h, (2) the absence of MAthrombin data before the PCI procedure, (3) prior coronary stent implantation, (4) prior coronary artery bypass grafting, (5) left main disease underwent coronary artery bypass grafting, (6) treatment without dual antiplatelet therapy,
Baseline characteristics
A total of 690 patients were analyzed in this study (Supplementary fig. 1). There were 582 patients with normal flow and 108 with slow-flow/no-reflow. The median age was 60 (52–70 years), and 154 (22.3%) patients were women. Baseline clinical characteristics are shown in Table 1. Compared to patients with normal flow, patients with slow/no-reflow were older and more likely to be current smokers. Patients with slow-flow/no-reflow had a faster heart rate and a higher proportion of Killip class IV
Discussion
There were several major findings in this cohort. First, MAthrombin level was an independent risk factor for predicting the occurrence of slow-flow/no-reflow in STEMI patients after primary PCI, with a MAthrombin cut-off value of 68 mm. Second, MAthrombin level combined with TIMI risk score for predicting the risk of slow-flow/no-reflow was significantly improved than the TIMI risk score alone. Third, a high MAthrombin level (≥ 68 mm) significantly increased the risk of CVEs only in STEMI
Conclusion
In STEMI patients treated with primary PCI, MAthrombin levels was significantly associated with an increased risk of slow-flow/no-reflow. In STEMI patients with slow-flow/no-reflow after primary PCI treatment, a high MAthrombin level (≥ 68 mm) significantly increased the risk of long-term adverse cardiovascular events. The present study sheds light on the potential role of MAthrombin level in risk stratification strategies when tailoring monitoring protocols for STEMI patients undergoing
Funding
This work was supported by the National High Level Hospital Clinical Research Funding (2022-NHLHCRF-YSPY-01), Capital's Founds for Health Improvement and Research (No. 2022-1-4062), Science Foundation of China-Japan Friendship Hospital (No. 2020-HX-40), Chinese Society of Cardiology's Foundation (No. CSCF2021B02), and National Key Clinical Specialty Construction Project (2020-QTL-009).
This author takes responsibility for all aspects of the reliability and freedom from bias of the data presented
Data availability statement
The dataset analyzed during the current study is available from the corresponding author on reasonable request.
Author statement
Qing Li: Validation, Methodology, Visualization, Writing – original draft, Writing – review & editing. Enmin Xie: Methodology, Formal analysis, Writing – review & editing. Yimin Tu: Visualization, Data curation, Writing – review & editing. Yaxin Wu: Methodology, Writing – review & editing. Ziyu Guo: Data curation, Writing – review & editing. Peizhao Li: Data curation, Writing – review & editing. Yike Li: Data curation, Writing – review & editing. Xiaozhai Yu: Data curation, Writing – review &
Declaration of Competing Interest
There are no conflicts of interest.
Acknowledgements
None.
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These authors contributed equally to the work.