Impact of bleeding during dual antiplatelet therapy in patients with coronary artery disease

Identification of 5 hub genes for diagnosis of coronary artery disease

Background

Coronary artery disease (CAD) is a main cause leading to increasing mortality of cardiovascular disease (CVD) worldwide. We aimed to discover marker genes and develop a diagnostic model for CAD.

Methods

CAD-related target genes were searched from DisGeNET. Count expression data and clinical information were screened from the GSE202626 dataset. edgeR package identified differentially expressed genes (DEGs). Using online STRING tool and Cytoscape, protein-protein reactions (PPI) were predicted. WebGestaltR package was employed to functional enrichment analysis. We used Metascape to conduct module-based network analysis. VarElect algorithm provided genes-phenotype correlation analysis. Immune infiltration was assessed by ESTIMATE package and ssGSEA analysis. mRNAsi was determined by one class logistic regression (OCLR). A diagnostic model was constructed by SVM algorithm.

Results

162 target genes were screened by intersection 1,714 DEGs and 1,708 CAD related target genes. 137 target genes of the 162 target genes were obtained using PPI analysis, in which those targets were enriched in inflammatory cytokine pathways, such as chemokine signaling pathway, and IL-17 signaling pathway. From the above 137 target genes, four functional modules (MCODE1-4) were extracted. From the 162 potential targets, CAD phenotype were directly and indirectly associated with 161 genes and 22 genes, respectively. Finally, 5 hub genes (CCL2, PTGS2, NLRP3, VEGFA, LTA) were screened by intersections with the top 20, directly and indirectly, and genes in MCODE1. PTGS2, NLRP3 and VEGFA were positively, while LTA was negatively correlated with immune cells scores. PTGS2, NLRP3 and VEGFA were negatively, while LTA was positively correlated with mRNAsi. A diagnostic model was successfully established, evidenced by 92.59% sensitivity and AUC was 0.9230 in the GSE202625 dataset and 94.11% sensitivity and AUC was 0.9706 in GSE120774 dataset.

Conclusion

In this work, we identified 5 hub genes, which may be associated with CAD development.

The Effect of Off-Pump Coronary Artery Bypass Grafting in Patients on Aspirin Therapy until Surgery Day

Coronary artery bypass grafting (CABG) is widely used to treat coronary artery disease, and intraoperative and postoperative bleeding is one of the major factors affecting the efficacy and mortality of CABG. To overcome the adverse effects of extracorporeal circulation (CPB), nonextracorporeal coronary artery bypass grafting (OPCABG) has become the main modality of CABG but is still prone to thromboembolic events. Whether antiplatelet agents should be clinically applied before CABG, especially OPCABG, remains controversial. Aspirin is currently the most important perioperative oral antiplatelet agent for coronary artery bypass graft surgery. In this study, we evaluated the effect of continuing aspirin therapy before OPCABG and observed perioperative performance and physiological indicators to find evidence for continuing aspirin therapy before surgery in China. The study showed that preoperative aspirin application had a positive effect on enhancing early postoperative platelet inhibition without increasing the incidence of adverse effects such as cardiovascular events. This provides an important clinical reference for whether antiplatelet agents should be applied before CABG, especially OPCABG.

Incidence, Prediction, and Outcomes of Major Bleeding After Percutaneous Coronary Intervention in Chinese Patients

BACKGROUND

The patterns of late major bleeding (MB) after percutaneous coronary intervention (PCI) remain unknown in Chinese patients.

OBJECTIVES

This study sought to determine the incidence, prediction, and long-term outcomes of late MB in Chinese patients.

METHODS

This was a retrospective cohort study from 14 hospitals in Hong Kong. Participants were patients undergoing first-time PCI without MB within 30 days or death within 1 year. Patients were stratified by the presence of late MB, defined as MB between 30 and 365 days. The primary endpoint was all-cause mortality. The secondary endpoints were major adverse cardiac events (MACE).

RESULTS

A total of 32,057 patients were analyzed. After adjustment for baseline characteristics, periprocedural characteristics, and medications on discharge, the risks of all-cause mortality at 5 years were significantly higher with late MB (HR: 2.15; 95% CI: 1.92-2.41; P < 0.001). Late MB was also associated with a higher risk of MACE (HR: 1.57; 95% CI: 1.03-1.50; P < 0.001), myocardial infarction (HR: 1.25; 95% CI: 1.04-1.52; P = 0.02), and stroke (HR: 1.38; 95% CI: 1.09-1.73; P = 0.006). The CARDIAC (anti-Coagulation therapy, Age, Renal insufficiency, Drop In hemoglobin, baseline Anemia in Chinese patients) score had a good discriminating power for prediction of MB within 365 days (area under the receiver-operating characteristic curve: 0.76).

CONCLUSIONS

Late MB was independently associated with a higher risk of mortality, MACE, myocardial infarction, and stroke in patients undergoing PCI. The CARDIAC score is a simple model that can predict MB after PCI. Prevention of MB represents an important strategy to optimize cardiovascular outcomes for patients undergoing PCI.