Predicting carotid atherosclerosis in latent autoimmune diabetes in adult patients using machine learning models: a retrospective study.

Journal: BMC cardiovascular disorders
Published Date: Jul 3, 2025

Abstract

BACKGROUND: Latent autoimmune diabetes in adults (LADA) is a slowly progressing form of diabetes with autoimmune origins. Patients with LADA are at an elevated risk of developing cardiovascular diseases, including carotid atherosclerosis. While machine learning models have been widely used in predicting cardiovascular risks in Type 1 and Type 2 diabetes, research on LADA remains limited. Early prediction of carotid atherosclerosis using machine learning models could help in timely intervention and improved patient outcomes for this specific population.

Authors

  • Xiaoqin Chen
    Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
  • Zhitong Li
    Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
  • Xiaoying Fan
    Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
  • Yuanyuan Yan
    Department of Ultrasound, Zhengzhou Central Hospital, Zhengzhou, China.
  • Shiwei Liu
    School of Computer Science and Technology, Xinjiang University, Urumqi, 830017, Xinjiang, China.

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