Artificial Intelligence-based Prediction of Radio-cephalic Arteriovenous Fistula Maturation Using Preoperative Duplex Examination
NCT ID: NCT06600750
Last Updated: 2024-09-26
Study Results
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Basic Information
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COMPLETED
494 participants
OBSERVATIONAL
2018-01-01
2023-12-31
Brief Summary
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Can AI-driven models analyzing comprehensive ultrasonographic variables accurately predict the successful maturation of arteriovenous fistulas (AVFs)?
Participants who underwent radiocephalic arteriovenous fistula (AVF) creation had their preoperative ultrasonographic data analyzed using AI-driven models to predict successful AVF maturation over a four-year retrospective period.
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Patients who underwent radiocephalic arteriovenous fistula due to advanced chronic kidney disease
Patients who underwent radiocephalic arteriovenous fistula due to advanced chronic kidney disease
Arteriovenous fistula
Patients who underwent Radiocephalic arteriovenous fistula surgery
Interventions
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Arteriovenous fistula
Patients who underwent Radiocephalic arteriovenous fistula surgery
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
No
Sponsors
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Seoul National University Hospital
OTHER
Responsible Party
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Ara Cho
Professor
Locations
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Seoul National University Hospital
Seoul, Seoul, South Korea
Countries
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References
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Georgiadis GS, Charalampidis DG, Argyriou C, Georgakarakos EI, Lazarides MK. The Necessity for Routine Pre-operative Ultrasound Mapping Before Arteriovenous Fistula Creation: A Meta-analysis. Eur J Vasc Endovasc Surg. 2015 May;49(5):600-5. doi: 10.1016/j.ejvs.2015.01.012. Epub 2015 Feb 27.
Vascular Access Work Group. Clinical practice guidelines for vascular access. Am J Kidney Dis. 2006 Jul;48 Suppl 1:S248-73. doi: 10.1053/j.ajkd.2006.04.040. No abstract available.
Perera GB, Mueller MP, Kubaska SM, Wilson SE, Lawrence PF, Fujitani RM. Superiority of autogenous arteriovenous hemodialysis access: maintenance of function with fewer secondary interventions. Ann Vasc Surg. 2004 Jan;18(1):66-73. doi: 10.1007/s10016-003-0094-y. Epub 2004 Jan 20.
Other Identifiers
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S2020-3118-0001
Identifier Type: -
Identifier Source: org_study_id
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