Clinical diagnostic and prognostic value of homocysteine combined with hemoglobin [f (Hcy-Hb)] in cardio-renal syndrome caused by primary acute myocardial infarction.

Journal: Journal of translational medicine
Published Date: Jul 23, 2025

Abstract

BACKGROUND: Cardio-renal syndrome (CRS), characterized by multi-organ interaction, is frequently overlooked in clinical practice. It poses significant challenges in treatment, leading to poor long-term prognosis and substantial economic burden on patients' families. This study, based on a 10-year multi-center real-world investigation, identified that hyperhomocysteinemia and hypohemoglobinemia in myocardial infarction (MI) patients are associated with an increased risk of developing CRS. Consequently, we integrated these two factors into a machine learning model to evaluate its diagnostic and prognostic value for CRS, providing novel insights for clinical and nursing practices.

Authors

  • Min-Juan Zeng
    The School of Basic Medical Sciences, Guangdong Medical University, Zhanjiang, 524000, China.
  • Yan-Quan Liu
    Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, 341000, Jiangxi, China.
  • Ping Pang
    Department of Anesthesiology, the Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
  • Xiao-Jun Chen
    The Affiliated Hospital of Putian University, Putian, 351100, China.
  • He Huang
  • Rui-Na Huang
    Department of Neurology, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, The Second Affiliated Hospital of Guangzhou Medical University, Changgang Dong Road, Guangzhou 510000, China; The Second Clinical Medicine School, Guangzhou Medical University, Guangzhou 510000, China.
  • Shi-Sen Li
    Department of Cardiology, the Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
  • He-Hui Zhang
    Department of Cardiology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
  • Yue Yin
    College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, 650000, China.
  • Chang-Sen Wang
    Department of Anesthesiology, the Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
  • Jin-Da Lin
    Department of Anesthesiology, the Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
  • Lin Lin
    Central Laboratory, The First Affiliated Hospital of Xiamen University, Xiamen, China, zhibinli33@163.com, liusuhuan@xmu.edu.cn.
  • Shao-Peng Chen
    Zhanjiang Blood Center, Zhanjiang, 524000, China. blackcloak@qq.com.
  • Li Xu
    College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Liang-Qing Zhang
    The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China. zhangliangqing@gdmu.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals