TyG-ABSI: A New Indicator of Metabolic Obesity for Carotid Plaque Evaluated Through Explainable Machine Learning in a Low-Income Population - Takeaways - MDSpire

TyG-ABSI: A New Indicator of Metabolic Obesity for Carotid Plaque Evaluated Through Explainable Machine Learning in a Low-Income Population

  • By

  • Juan Hao

  • Ran Chen

  • Diliyaer Abudukeremu

  • Xiao Li

  • Yiwei Zhang

  • Lifeng Wang

  • Chenxi Fan

  • Chunsheng Yang

  • Xianjia Ning

  • Jinghua Wang

  • Yan Li

  • December 16, 2025

  • 0 min

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  • 1

    Cardiovascular disease is the leading cause of global mortality, with projections indicating 23.6 million deaths annually by 2030.

  • 2

    Carotid plaque, a marker of atherosclerosis, is linked to increased risks of coronary artery disease, myocardial infarction, and ischemic stroke.

  • 3

    Obesity and insulin resistance are significant contributors to carotid plaque formation, particularly in low-income rural populations.

  • 4

    The study introduces TyG-ABSI as a novel predictor of carotid plaque risk, utilizing machine learning and SHAP visualization for analysis.

  • 5

    Findings aim to enhance understanding of plaque formation determinants and inform tailored preventive strategies in low-income communities.

Original Source(s)

TyG-ABSI: A New Indicator of Metabolic Obesity for Carotid Plaque Evaluated Through Explainable Machine Learning in a Low-Income Population

  • by Juan Hao, Ran Chen, Diliyaer Abudukeremu, Xiao Li, Yiwei Zhang, Lifeng Wang, Chenxi Fan, Chunsheng Yang, Xianjia Ning, Jinghua Wang, Yan Li

  • December 16, 2025

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