45 research outputs found

    Multicenter Experience with the Surfacer Inside-Out Access Catheter System in Patients with Thoracic Venous Obstruction: Results from the SAVE Registry.

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    ABSTRACT Purpose To report device performance and safety for the Surfacer® Inside-Out® access catheter system in patients with thoracic central venous obstruction (TCVO) requiring central venous access (CVA). Materials and Methods Five sites prospectively enrolled 30 patients requiring a tunneled dialysis catheter between February 2017 and September 2018 in the Surfacer System to Facilitate Access in Venous Obstructions (SAVE) Registry (NCT02875899). Patient demographics, medical history and type of TCVO were documented at enrollment. Device performance and adverse events were collected during the procedure and upon hospital discharge. Twenty-nine of the 30 patients enrolled required CVA for hemodialysis. Retrospective classification of TCVOs according to SIR Reporting Standards showed 9 patients (30%) had Type 4 obstructions, 8 (26.7%) had Type 3, 5 (16.7%) had Type 2 and 8 (26.7%) had Type 1 obstructions. Results Central venous cathters (CVCs) were successfully placed in 29 of 30 patients (96.7%). The procedure was discontinued in one patient due to vascular anatomical tortuosity. All 29 patients with successful CVC placement achieved adequate catheter patency and tip positioning. There were no device-related adverse events, catheter malposition, intra- or postprocedural complications. Mean time from device insertion to removal for the 29 patients who successfully completed the procedure was 24±14.9 (range 6 to 70) minutes. Mean fluoroscopy time was 6.8±4.5 (range 2.2 to 25.5) minutes. Conclusion The Surfacer Inside-Out procedure provides an alternative option to restore right-sided central venous access in patients with TCVO

    Endovascular Embolization of Spontaneous Iliopsoas Hematoma: First Experience with Squidperi

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    A 79-year-old man, suffering from atrial fibrillation and on anticoagulation therapy, was admitted at the emergency department of our institution because of a worsening respiratory insufficiency. After a diagnostic work-up, he was found to suffer from pneumonia, and antibiotic therapy was settled. He was kept under observation for his pulmonary conditions but, within a week, he developed a spontaneous iliopsoas hematoma, due to a sudden dysregulation of anticoagulation therapy subsequent to new in-hospital treatments. An endovascular approach was attempted and the bleeding vessels were embolized with a new liquid agent, named Squidperi (Emboflu, Switzerland). Complete exclusion of the diseased vessels was obtained and no complications occurred after the procedure. We conclude that Squidperi can be considered as an option for treatment of spontaneous iliopsoas hematomas

    AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

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    Recent epidemiological data report that worldwide more than 53 million people have been infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading very rapidly and few months after the identification of the first infected, shortage of hospital resources quickly became a problem. In this work we investigate whether chest X-ray (CXR) can be used as a possible tool for the early identification of patients at risk of severe outcome, like intensive care or death. CXR is a radiological technique that compared to computed tomography (CT) it is simpler, faster, more widespread and it induces lower radiation dose. We present a dataset including data collected from 820 patients by six Italian hospitals in spring 2020 during the first COVID-19 emergency. The dataset includes CXR images, several clinical attributes and clinical outcomes. We investigate the potential of artificial intelligence to predict the prognosis of such patients, distinguishing between severe and mild cases, thus offering a baseline reference for other researchers and practitioners. To this goal, we present three approaches that use features extracted from CXR images, either handcrafted or automatically by convolutional neuronal networks, which are then integrated with the clinical data. Exhaustive evaluation shows promising performance both in 10-fold and leave-one-centre-out cross-validation, implying that clinical data and images have the potential to provide useful information for the management of patients and hospital resources

    Guidelines on the diagnosis, treatment and management of visceral and renal arteries aneurysms: a joint assessment by the Italian Societies of Vascular and Endovascular Surgery (SICVE) and Medical and Interventional Radiology (SIRM)

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    : The objective of these Guidelines is to provide recommendations for the classification, indication, treatment and management of patients suffering from aneurysmal pathology of the visceral and renal arteries. The methodology applied was the GRADE-SIGN version, and followed the instructions of the AGREE quality of reporting checklist. Clinical questions, structured according to the PICO (Population, Intervention, Comparator, Outcome) model, were formulated, and systematic literature reviews were carried out according to them. Selected articles were evaluated through specific methodological checklists. Considered Judgments were compiled for each clinical question in which the characteristics of the body of available evidence were evaluated in order to establish recommendations. Overall, 79 clinical practice recommendations were proposed. Indications for treatment and therapeutic options were discussed for each arterial district, as well as follow-up and medical management, in both candidate patients for conservative therapy and patients who underwent treatment. The recommendations provided by these guidelines simplify and improve decision-making processes and diagnostic-therapeutic pathways of patients with visceral and renal arteries aneurysms. Their widespread use is recommended
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