Construction of Risk-Prediction Models for Autogenous Arteriovenous Fistula Thrombosis in Patients on Maintenance Hemodialysis.

Journal: Blood purification
PMID: 39089231

Abstract

INTRODUCTION: Autogenous arteriovenous fistula (AVF) is the preferred vascular access in patients undergoing maintenance hemodialysis (MHD). However, complications such as thrombosis may occur. This study aimed to construct and validate a machine learning-based risk-prediction model for AVF thrombosis, hypothesizing that such a model can effectively predict occurrences, providing a foundation for early clinical intervention.

Authors

  • Xiaoyu Jin
    Clinical Nursing Teaching Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, 1152997486@qq.com.
  • Yuying Fan
    Clinical Nursing Teaching Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Jingshu Li
    Clinical Nursing Teaching Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Xiaona Qi
    Clinical Nursing Teaching Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Xue Li
    Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China.
  • Hongyi Li
    State Key Laboratory of Robotics, Shenyang Institute of Automation, University of Chinese Academy of Sciences, Shenyang, Liaoning, P. R. China.

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