Performance of DAPT Score and ESC Criteria for Predicting Clinical Outcomes in Chinese Patients with Acute Coronary Syndrome.

Purpose: The values of European Society of Cardiology (ESC) criteria and dual antiplatelet therapy (DAPT) score in the stratification of ischemic risk were assessed in this study. Methods: A total of 489 patients with acute coronary syndrome who received DAPT at discharge between June 2020 and August 2020 were enrolled. The primary endpoint was the occurrence of major adverse cardiovascular events (MACE), which included recurrent ACS or unplanned revascularization, all-cause death, or ischemic stroke during a 27-month follow-up period. Results: Patients with ESC-defined high-risk showed a significantly higher risk of MACE (HR 2.75, 95% CI 1.78-4.25), all-cause death (HR 2.49, 95% CI 1.14-5.43), and recurrent ACS or unplanned revascularization (HR 2.80, 95% CI 1.57-4.99) than those with ESC-defined low/medium-risk during follow-up. The results of landmark analysis showed that patients in the high-risk group had a significantly higher risk of MACE (HR 2.80,95 CI% 1.57-4.97), recurrent ACS or unplanned revascularization (HR 3.19,95 CI% 1.47-6.93) within one year, and a higher risk of MACE (HR 2.69,95 CI% 1.38-5.23) after one year. There was no significant difference in the incidence of MACE between patients with a DAPT score ≥2 and a DAPT score <2. The C-indices of ESC criteria and DAPT score for prediction of MACE were 0.63 (95% CI 0.57-0.70) and 0.54 (95% CI 0.48-0.61), respectively. The predictive value of ESC criteria for MACE was better than the DAPT score according to the DeLong test (z-statistic=2.30, P=0.020). Conclusion: Patients with ESC-defined high-risk had a higher risk of MACE compared to those with ESC-defined low/medium-risk. The discriminant ability of the ESC criteria was better than the DAPT score for MACE. The ESC criteria demonstrated moderate discriminatory capacity of MACE in ACS patients treated with DAPT.

Lipid metabolism patterns and relevant clinical and molecular features of coronary artery disease patients: an integrated bioinformatic analysis.

BACKGROUND: Hyperlipidaemia is an important factor that induces coronary artery disease (CAD). This study aimed to explore the lipid metabolism patterns and relevant clinical and molecular features of coronary artery disease patients. METHODS: In the current study, datasets were fetched from the Gene Expression Omnibus (GEO) database and nonnegative matrix factorization clustering was used to establish a new CAD classification based on the gene expression profile of lipid metabolism genes. In addition, this study carried out bioinformatics analysis to explore intrinsic biological and clinical characteristics of the subgroups. RESULTS: Data for a total of 615 samples were extracted from the Gene Expression Omnibus database and were associated with clinical information. Then, this study used nonnegative matrix factorization clustering for RNA sequencing data of 581 lipid metabolism relevant genes, and the 296 patients with CAD were classified into three subgroups (NMF1, NMF2, and NMF3). Subjects in subgroup NMF2 tended to have an increased severity of CAD. The CAD index and age of group NMF1 were similar to those of group NMF3, but their intrinsic biological characteristics exhibited significant differences. In addition, weighted gene coexpression network analysis (WGCNA) was used to determine the most important modules and screen lipid metabolism related genes, followed by further analysis of the DEGs in which the significant genes were identified based on clinical information. The progression of coronary atherosclerosis may be influenced by genes such as PTGDS and DGKE. CONCLUSION: Different CAD subgroups have their own intrinsic biological characteristics, indicating that more personalized treatment should be provided to patients in each subgroup, and some lipid metabolism related genes (PDGTS, DGKE and so on) were related significantly with clinical characteristics.

[Challenges Analysis and Strategic Consideration on Medical Equipment Maintenance].

Expounding the status of the current domestic medical equipment maintenance management, and puting forward the strategic thinking of medical maintenance for the challenges of equipment maintenance management in the hospital. This discussion can be performed to control the maintenance costs of hospital effectively, increase the income and social benefits of the hospital.