Journal of vascular surgery
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Spreading of the COVID-19 pandemic in Italy forced health facilities to drastically change their organization to face the overwhelming number of infected patients needing hospitalization. The aim of this paper is to share with all the vascular community the protocol developed by the USL (Unità Sanitaria Locale) Toscana Centro for the reorganization of the Vascular Surgery Unit during the COVID-19 emergency, hoping to help other institutions to face the emergency during the hard weeks coming. ⋯ Rapid modification of hospital settings, a certain "flexibility" of the medical personnel, a stepwise shutdown of vascular surgical and office activity, and the necessity of a strong leadership are mandatory to cope with the tsunami of the COVID-19 outbreak.
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Traumatic popliteal artery injury is associated with an increased propensity for limb loss, morbidity, and mortality above an already elevated baseline risk to life and limb. Previous studies of outcomes in this patient group have been limited by selection bias. This study analyzed outcomes after blunt popliteal artery injury using propensity matching to reduce confounding variables associated with multiple mechanisms of traumatic vascular injury and to identify factors associated with amputation. ⋯ Trauma patients who sustain blunt popliteal artery injury are at an increased risk of amputation. Propensity-matched analysis revealed that concurrent popliteal vein and tibial nerve injury but not severity of tissue injury predicted limb loss.
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Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only curative treatment relies on open or endovascular repair. The decision to treat relies on the evaluation of the risk of AAA growth and rupture, which can be difficult to assess in practice. Artificial intelligence (AI) has revealed new insights into the management of cardiovascular diseases, but its application in AAA has so far been poorly described. The aim of this review was to summarize the current knowledge on the potential applications of AI in patients with AAA. ⋯ AI represents a useful tool in the interpretation and analysis of AAA imaging by enabling automatic quantitative measurements and morphologic characterization. It could be used to help surgeons in preoperative planning. AI-driven data management may lead to the development of computational programs for the prediction of AAA evolution and risk of rupture as well as postoperative outcomes. AI could also be used to better evaluate the indications and types of surgical treatment and to plan the postoperative follow-up. AI represents an attractive tool for decision-making and may facilitate development of personalized therapeutic approaches for patients with AAA.