Background: Coronary cameral fistulas (CCFs) are rare congenital malformations consisting of abnormal vascular connections between coronary arteries and cardiac chambers, often incidentally found during cardiac catheterizations.
Case Summary: A 66-year-old female asymptomatic patient, without cardiovascular risk factors and a history of varicose veins lower extremities and coronavirus disease 2019 (COVID-19) pneumonia in December 2020, was diagnosed by coronary angiography with two large coronary cameral fistulas connecting the distal right coronary artery (RCA) and the distal left circumflex artery (LCx) to the right ventricle (RV). Additional imaging modalities such as two-dimensional transthoracic/transesophageal echocardiography and three-dimensional multidetector CT angiography were required to confirm the fistula's pathway (location, number, and size), which was difficult to delineate using selective coronary angiography alone.
Objective: The continuous uninterrupted feedback system is the essential part of any well-organized system. We propose aLYNX concept that is a possibility to use an artificial intelligence algorithm or a neural network model in decision-making system so as to avoid possible mistakes and to remind the doctors to review tactics once more in selected cases.
Method: aLYNX system includes: registry with significant factors, decisions and results; machine learning process based on this registry data; the use of the machine learning results as the adviser.
In order to find new informative predictors of myocardial infarction, we performed an analysis of genotype frequencies of polymorphic markers of SELE (rs2076059, 3832T > C), SELP (rs6131, S290 N), SELL (rs1131498, F206L), ICAM1 (rs5498, K469E), VCAM1 (rs3917010, c.928 + 420A > C), PECAM1 (rs668, V125L), VEGFA (rs35569394, -2549(18)I/D), CCL2 (rs1024611, -2518A > G), NOS3 (rs1799983, E298D), and DDAH1 (rs669173, c.303 + 30998A > G) genes in the group of Russian men with myocardial infarction (N = 315) and the control group of corresponding ethnicity, gender, and age (N = 286).
View Article and Find Full Text PDFEssential hypertension (EH) is a common disease with a clear genetic component. Inflammation and endothelial dysfunction play a prominent role in the development of persistent blood pressure elevation. The aim of the current study was to detect an association between EH and polymorphic markers in genes encoding for molecules involved in the control of intercellular interactions during the inflammation process.
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