Machine learning with decision curve analysis evaluates nutritional metabolic biomarkers for cardiovascular-kidney-metabolic risk: an NHANES analysis.

Journal: Frontiers in nutrition
Published Date: Jan 1, 2025

Abstract

BACKGROUND: The American Heart Association recently introduced the concept of Cardiovascular-Kidney-Metabolic Syndrome (CKM), emphasizing the interplay between metabolic disorders, cardiovascular diseases, and kidney diseases. Although insulin resistance (IR) and chronic inflammation are core drivers of CKM, the relationships causing imbalance have not been fully evaluated. Emerging biomarkers (RAR, NPAR, SIRI, Homair) offer multidimensional prediction capabilities by simultaneously assessing nutritional metabolism, cellular inflammation, and insulin resistance in diabetes.

Authors

  • Jun Huang
    Department of Endoscopy, Jiangxi Cancer Hospital, Nanchang, China.
  • Zhuo Liu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • WeiPeng Feng
    Shenzhen Institute of Information Technology, Shenzhen, China.
  • Yuanling Huang
    Department of Physical Education, Guangzhou City University of Technology, Guangzhou 510800, Guangdong, China.
  • XinChun Cheng
    People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.

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