IJERPH, Vol. 17, Pages 731: Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model
In this study, we propose an integrated method using machine learning. The machine learning methods of random trees (RTs), decision tree of C5.0, support vector machine (SVM), and decision tree of Chi-squared automatic interaction detection (CHAID) are used in this study. The proposed method shows promising results and the study confirms that the RTs model outperforms other models.
AbstractCoronary artery bypass grafting (CABG) is one of the most common procedures in the United States as many Americans suffer from coronary heart disease and undergo CABG each year. While CABG has been performed for decades, questions remain regarding the benefits graft marker placement provides for patient therapy and outcomes. Markers at the proximal graft anastomosis aim to improve the efficiency and reduce the risks of subsequent, post-coronary artery bypass grafting coronary angiography by decreasing fluoroscopy time and contrast volume used. Graft markers have been shown to reduce fluoroscopy time and contrast vo...
CONCLUSIONS: while trans-fats may be significantly associated with the development of CVD in the first two quartiles, no association has been detected with other fat types. PMID: 32124617 [PubMed - as supplied by publisher]
We present the methods and three-years of data from the ANZACS-QI CathPCI registry.
Condition: Coronary Artery Disease Interventions: Diagnostic Test: CT angiography; Diagnostic Test: Invasive coronary angiography Sponsors: Johns Hopkins University; Canon Medical Systems Recruiting
Conclusions: High-grade NAFLD is more present in symptomatic CHD. The higher degree of liver stiffness in patients with NAFLD, the higher risk of CHD in these NAFLD patients.
Abstract OBJECTIVE: We sought to distinguish lipid plaques using a CT quantitative pixel density histogram, based on the pathological diagnosis of lipid cores as the gold standard. MATERIALS AND METHODS: Eight patients awaiting heart transplantation due to end-stage coronary heart disease underwent coronary CT angiography (CCTA) spectroscopy prior to heart transplantation; coronary artery pathological analysis was performed for all patients. Lipid-core plaques were defined pathologically as manifesting a lipid core diameter> 200 μm, a circumference> 60 degrees, and a cap thickness
ConclusionOur findings provide a new insight into the prediction for restenosis in CHD patients underwent PCI with SES.
DiscussionThis trial is strictly designed in accordance with principles and regulations issued by the China Food and Drug Administration (CFDA). The results should provide high-quality evidence on the efficacy and safety ofGuhong injection in the treatment of CMVD.Trial registrationChinese Clinical Trials Registry, ID:ChiCTR1900022902. Registered on 27 April 2019.
AbstractPurpose of ReviewAortic stiffness (AS) is widely associated with hypertension and considered as a major predictor of coronary heart disease (CHD). AS is measured using carotid –femoral pulse wave velocity (PWV), particularly when this parameter is associated with an index involving age, gender, heart rate, and mean blood pressure. The present review focuses on the interest of measurement of PWV and the calculation of individual PWV index for the prediction of CHD, in ad dition with the use of new statistical nonlinear models enabling results with very high levels of accuracy.Recent FindingsPWV index may so co...
AbstractBecause the phenomenon of no reflow has a poor prognosis in ST-segment elevation myocardial infarction (STEMI) patients and the atherogenic index of plasma (AIP) has been shown to be a strong predictor of coronary heart disease, we aimed to investigate the relationship between AIP and no-reflow in patients with acute STEMI who underwent primary percutaneous coronary intervention (PCI). A total of 763 consecutive STEMI patients (648 men; mean age 58 ± 12 years) who underwent primary PCI were recruited for this study. The patients were classified into a reflow group (n = 537) ...