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Surgical wound healing by secondary intention versus primary and delayed primary closure: systematic review protocol

Background Every year 4.4 million surgical procedures are undertaken under the National Health Service (NHS) in England.1 Incisions made during these procedures are ideally closed immediately after surgery, known as primary closure or healing by primary intent. In some circumstances the incision is left open and allowed to heal from the base upwards through granulation,…

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Explantation of infected kissing iliac stents complicated by acute discitis with aortoiliac reconstruction: a case report

Abstract Introduction: Endovascular therapy for aortoiliac occlusive disease (AIOD) has the benefits of being minimally invasive with reliable patency outcomes. The VIABAHN VBX Balloon Expandable Endoprosthesis is widely used for iliac interventions; however, infection of such devices is exceptionally rare and its clinical course poorly characterised. Case presentation: A 55-year-old man with a history of…

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Surgical repair of a right proximal radial artery true aneurysm: case report and literature review

Abstract True radial artery aneurysms (RAAs) are exceptionally rare. We report a case of a 33-year-old man with an idiopathic fusiform true aneurysm of the proximal right radial artery, managed successfully via resection and reversed ipsilateral cephalic vein interposition bypass. Postoperative recovery was uneventful, with preserved distal perfusion and no complications at 6-month follow-up. This…

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New onset arteriovenous malformations in adults: a case series of caution

Abstract   Introduction: New onset arteriovenous malformation (AVM) in adulthood requires a high index of clinical suspicion. The misdiagnosis of vascular soft tissue lesions as AVMs is relatively common, resulting in delays to definitive diagnosis and management. We present four recent ‘AVM referrals’ which were neoplastic and propose some clinical considerations to facilitate development of…

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The utility of machine learning in the management of patients with peripheral arterial disease

Introduction Machine learning (ML) is moving decisively from concept to clinic-adjacent evaluation in vascular medicine. Peripheral arterial disease (PAD) has become a major focus for machine learning because it is clinically heterogeneous and carries a high health and economic burden, making it well suited to data driven approaches for earlier detection and personalised risk assessment….

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