Background: In 2007, a multispecialty society task force published a clinical expert consensus document (CECD) on carotid stenting (CAS), containing recommendations for appropriate patient selection and quality of care. The CECD also inspired creation of a large, national registry of carotid revascularization, the Carotid Artery Revascularization and Endarterectomy (CARE) registry. Our goal here was to investigate whether initial CAS procedures submitted to CARE conformed to CECD recommendations, and examine their clinical outcomes.
Methods: We analyzed CAS procedures for the period January 1, 2005 through December 31, 2008. These were grouped into those that conformed to CECD recommendations [CECD(+), n = 4,636, 79.8%] and those that did not [CECD(-), n = 1,168, 20.2%].
Results: The CECD(+) patients were older than CECD(-) patients (71.5 +/- 10.3 vs. 67.6 +/- 10.3 years, P = 0.001, respectively), and more frequently had chronic kidney disease (46.9% vs. 17.8%, P = 0.001), chronic lung disease (33.0% vs. 12.4%, P = 0.001), ejection fraction
Conclusions: Most CAS procedures submitted to CARE conformed to CECD recommendations for patient selection. For reported data, clinical outcomes at 30 days were similar for procedures meeting and those not meeting recommendations, and were similar to outcomes reported by other large registries. These findings suggest that acceptable patient selection criteria for CAS are employed as it expands beyond investigators into more widespread clinical practice.
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http://dx.doi.org/10.1002/ccd.22333 | DOI Listing |
Br J Radiol
January 2025
Royal United Hospital, Combe Park, Bath, Avon, BA1 3NG, UK.
Objectives: Artificial intelligence (AI) software including Brainomix "e-CTA" which detect large vessel occlusions (LVO) have clinical potential. We hypothesised that in real world use where prevalence is low, its clinical utility may be overstated.
Methods: In this single centre retrospective service evaluation project, data sent to Brainomix from a medium size acute National Health Service (NHS) Trust hospital between 1/3/2022-1/3/2023 was reviewed.
Physiol Rep
February 2025
Department of Biomedical Engineering, Toyo University, Saitama, Japan.
The present study aims to examine the effect of 4 h of continuous sitting on cerebral endothelial function, which is a crucial component of cerebral blood flow regulation. We hypothesized that 4 h of sitting may impair cerebral endothelial function similarly to how it affects lower limb vasculature. Thirteen young, healthy participants were instructed to remain seated for 4 h without moving their lower limbs.
View Article and Find Full Text PDFJ Vasc Surg Cases Innov Tech
April 2025
Department of Cardiovascular Surgery, Higashiosaka City Medical Center, Higashiosaka, Osaka, Japan.
A 69-year-old man with chest pain was diagnosed with acute type B aortic dissection with the entry tear located at distal arch and a distal aortic arch aneurysm. Therefore, we performed debranching thoracic endovascular aortic repair 2 weeks after type B aortic dissection onset. First, the graft was anastomosed to bilateral axillary arteries.
View Article and Find Full Text PDFCureus
January 2025
Internal Medicine, University of Florida College of Medicine, Gainesville, USA.
Fibromuscular dysplasia (FMD) is a non-atherosclerotic, non-inflammatory vascular disease of medium-sized arteries that causes abnormal cellular growth in arterial walls and most commonly affects young to middle-aged women (20-50 years of age). While FMD often involves the renal arteries, it can affect any arterial bed. FMD has a characteristic angiographic appearance of a "string of beads.
View Article and Find Full Text PDFClin Neurol Neurosurg
January 2025
The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. Electronic address:
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Method: A total of 210 patients who underwent radial artery cerebral angiography at this center from September 2021 to May 2022 were selected, and their anatomical and clinical factors were analyzed to evaluate the correlation between these factors and the duration of radiographic exposure. A related neural network prediction model was established.
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