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Serum metabolites and risk of aortic dissection: a two-sample Mendelian randomization study.

Indian J Thorac Cardiovasc Surg

February 2025

Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001 Anhui China.

Purpose: Acute aortic dissection is a serious cardiovascular emergency with a high mortality rate. Its pathogenesis is complex and remains unclear. This study aimed to assess the connection between the levels of genetically predicted circulating metabolites and the risk of aortic dissection.

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Total Percutaneous Transfemoral Endovascular Treatment of Non-A Non-B Aortic Dissection.

JACC Case Rep

January 2025

Chinese Institutes for Medical Research and Anzhen Hospital, Capital Medical University, Beijing, China.

Although open repair remains the mainstream treatment for aortic arch dissection, its surgical complexity and perioperative complications are significant. We developed a novel stentgraft system for less-invasive endovascular aortic arch repair. We successfully performed a total percutaneous transfemoral endovascular repair of aortic arch dissection using a novel off-the-shelf endograft system.

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Objective: To evaluate the clinical effect of a subspecialty standardized temperature management process in a hybrid surgery for treating acute aortic dissection.

Methods: From January 2020 to June 2021, 102 patients who underwent hybrid surgery for acute aortic dissection in the Department of Cardiovascular Surgery at the Huai'an First People's Hospital were selected as the control group, receiving routine temperature maintenance measures. From August 2021 to November 2022, 105 similar patients from the same hospital were enrolled in the experimental group, where a subspecialty standardized temperature management process was implemented.

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Purpose: Acute abdominal aortic dissection (AD) is a serious disease. Early detection based on ultrasound (US) can improve the prognosis of AD, especially in emergency settings. We explored the ability of deep learning (DL) to diagnose abdominal AD in US images, which may help the diagnosis of AD by novice radiologists or non-professionals.

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