Coronary health index based on immunoglobulin light chains to assess coronary heart disease risk with machine learning: a diagnostic trial.

Journal: Journal of translational medicine
PMID: 39762962

Abstract

BACKGROUND: Recent studies suggest a connection between immunoglobulin light chains (IgLCs) and coronary heart disease (CHD). However, current diagnostic methods using peripheral blood IgLCs levels or subtype ratios show limited accuracy for CHD, lacking comprehensive assessment and posing challenges in early detection and precise disease severity evaluation. We aim to develop and validate a Coronary Health Index (CHI) incorporating total IgLCs levels and their distribution. Additionally, we aim to evaluate its effectiveness by integrating patient data and using machine learning models through diagnostic trial.

Authors

  • Wenbo Ren
    Department of Clinical Laboratory, The First Hospital of Jilin University, Changchun, 130000, China.
  • Zichen Zhang
    Department of Computer Science and Engineering, The Ohio State University, Columbus, OH 43210, USA.
  • Yifei Wang
    Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Jiangyuan Wang
    Department of Gastroenterology, Peking University People's Hospital, Beijing, China.
  • Li Li
    Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
  • Lin Shi
    Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, China.
  • Taiyu Zhai
    Department of Clinical Laboratory, The First Hospital of Jilin University, Changchun, 130000, China. zhaitaiyu@jlu.edu.cn.
  • Jing Huang
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

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