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        CT-Based Leiden Score Outperforms Confirm Score in Predicting Major Adverse Cardiovascular Events for Diabetic Patients with Suspected Coronary Artery Disease

        Liu Zinuan,Ding Yipu,Dou Guanhua,Wang Xi,Shan Dongkai,He Bai,Jing Jing,Chen Yundai,Yang Junjie 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.10

        Objective: Evidence supports the efficacy of coronary computed tomography angiography (CCTA)-based risk scores in cardiovascular risk stratification of patients with suspected coronary artery disease (CAD). We aimed to compare two CCTAbased risk score algorithms, Leiden and Confirm scores, in patients with diabetes mellitus (DM) and suspected CAD. Materials and Methods: This single-center prospective cohort study consecutively included 1241 DM patients (54.1% male, 60.2 ± 10.4 years) referred for CCTA for suspected CAD in 2015–2017. Leiden and Confirm scores were calculated and stratified as < 5 (reference), 5–20, and > 20 for Leiden and < 14.3 (reference), 14.3–19.5, and > 19.5 for Confirm. Major adverse cardiovascular events (MACE) were defined as the composite outcomes of cardiovascular death, nonfatal myocardial infarction (MI), stroke, and unstable angina requiring hospitalization. The Cox model and Kaplan–Meier method were used to evaluate the effect size of the risk scores on MACE. The area under the curve (AUC) at the median follow-up time was also compared between score algorithms. Results: During a median follow-up of 31 months (interquartile range, 27.6–37.3 months), 131 of MACE were recorded, including 17 cardiovascular deaths, 28 nonfatal MIs, 64 unstable anginas requiring hospitalization, and 22 strokes. An incremental incidence of MACE was observed in both Leiden and Confirm scores, with an increase in the scores (log-rank p < 0.001). In the multivariable analysis, compared with Leiden score < 5, the hazard ratios for Leiden scores of 5–20 and > 20 were 2.37 (95% confidence interval [CI]: 1.53–3.69; p < 0.001) and 4.39 (95% CI: 2.40–8.01; p < 0.001), respectively, while the Confirm score did not demonstrate a statistically significant association with the risk of MACE. The Leiden score showed a greater AUC of 0.840 compared to 0.777 for the Confirm score (p < 0.001). Conclusion: CCTA-based risk score algorithms could be used as reliable cardiovascular risk predictors in patients with DM and suspected CAD, among which the Leiden score outperformed the Confirm score in predicting MACE.

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        Study on Oxidant in Chemical Mechanical Polishing of Copper

        Xu Rui,Wang Yongsheng,Wang Yipu,Liu Haixu,Su Jianxiu 한국전기전자재료학회 2020 Transactions on Electrical and Electronic Material Vol.21 No.6

        In this paper, the polishing experiment of copper was carried out. According to the experimental data, when FeCl 3 was selected as oxidant, the material removal rate increases gradually with the increase of oxidant concentration. When other conditions remain unchanged, the material removal rate with larger abrasives was higher than that of smaller abrasives, and the material removal rate of pressure 3 psi was higher than that of pressure 2 psi, and the surface roughness became smaller and smaller. When the abrasive size was 1 μm, oxidant concentration was 5 g/L and the pressure was 3 psi, the material removal rate reaches 206.9 nm/min and the surface roughness reached 8 nm. When the type of oxidant was chosen as the variable, the material removal rate of the mixture of FeCl 3 and H 2 O 2 was the highest, the maximum removal rate was 105.45 nm/min when the abrasive size was 1 μm and polishing speed was 80 r/min. The surface roughness was the smallest when FeCl 3 was used as oxidant and Ra reaches the smallest 5 nm under the conditions of the abrasive size was 1 μm and polishing speed 80 r/min. The results can be used as a reference for further research the ingredients of polishing slurry in the chemical mechanical polishing of copper.

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