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Nefrologia (Engl Ed)
January 2025
Department of Ultrasound, The Second Hospital of Dalian Medical University, Dalian City, Liaoning Province, China. Electronic address:
Objective: As radiocephalic fistula is not necessarily appropriate for all patients with advanced kidney disease, our aim was to investigate the sensitive indicators that affect the functional primary patency of radiocephalic fistulas.
Methods: This prospective observational study included consecutive patients referred to the Second Hospital of Dalian Medical University for initial creation of radiocephalic fistula from July 2017 to December 2019. Preoperative ultrasound parameters, demographic characteristics, serum indicators and comorbidities were recorded.
Front Cardiovasc Med
January 2025
Department of Cardiovascular Medicine, Capital Medical University, Beijing LuHe Hospital, Beijing, China.
Objective: This meta-analysis elucidates the efficacy of the Transradial Band Device (TR Band) in minimizing complications like radial artery occlusion and hematoma, preserving heart health, and enhancing blood flow post-transradial catheterization.
Methods: A comprehensive literature search across databases including PubMed, Cochrane, and Embase examined the impact of radial artery compression techniques and decompression times on complications. Data from 13 studies were analyzed using R 4.
Cardiovasc Interv Ther
January 2025
Department of Hyperbaric Medicine, Amsterdam UMC, Meibergdreef 9, Amsterdam, The Netherlands.
Oper Neurosurg (Hagerstown)
January 2025
Department of Neurosurgery, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA.
Clin Neurol Neurosurg
January 2025
The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. Electronic address:
Objective: To explore the anatomical and clinical factors that affect the radiographic exposure time in radial artery cerebral angiography and to establish a model.
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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