The Arteriovenous Access Stage (AVAS) classification simplifies information about suitability of vessels for vascular access (VA). It's been previously validated in a clinical study. Here, AVAS performance was tested against multiple ultrasound mapping measurements using machine learning.
View Article and Find Full Text PDFCoronary artery anomalies (CAAs) are rare and challenging, with increased diagnoses due to advanced cardiovascular imaging, even in low-income countries where diagnostic and therapeutic approaches can be difficult. This case report details a 65-year-old Black male patient with a history of hypertension and smoking who presented with a myocardial infarction. Despite no significant abnormalities apart from the infarction, invasive coronary angiography revealed a dominant right coronary artery (RCA) and an anomalous left main coronary artery (LMCA) originating from the right coronary sinus, bifurcating into the left anterior descending artery and circumflex artery.
View Article and Find Full Text PDFBackground: The arteriovenous access stage (AVAS) classification provides evaluation of upper extremity vessels for vascular access (VA) suitability. It divides patients into classes within three main groups: suitable for native fistula (AVAS1) or prosthetic graft (AVAS2), and patients not suitable for conventional native or prosthetic VA (AVAS3). We validated this system on a prospective dataset.
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