Research Progress on Symptom Network of Acute Coronary Syndrome Based on Precision Medicine

  • Ping WEI ,
  • Hua ZHANG
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  • 1.Hainan Medical University Hainan Haikou 571199, China
    2.Chongqing University Three Gorges Hospital Chongqing 404000, China
    3.Key Laboratory of Emergency and Trauma Research of Ministry of Education
    Hainan Medical University Hainan Haikou 571199, China
    4.Hainan Provincial Key Laboratory of Sports and Health Promotion Hainan Medical University
    Hainan Haikou 571199, China

Received date: 2025-01-09

  Revised date: 2025-02-13

  Accepted date: 2025-03-14

  Online published: 2025-07-23

Abstract

Acute coronary syndrome ACS is one of the leading causes of death globally with complex symptoms influenced by multiple factors. Rapid identification of ACS is crucial for determining its prognosis. The traditional symptom research of ACS focuses on a single symptom or symptom cluster easily ignoring the differences in symptom phenotypes mechanisms physiological and psychological factors which may not be conducive to developing precise intervention strategies. Symptom network is a novel research paradigm based on the perspective of precision medicine which reveals pathological mechanisms and intrinsic associations by integrating multi-dimensional data such as complex symptoms and biomarkers of ACS. It provides new ideas for precision prevention and treatment of the disease. This study systematically reviews the concepts and principles of symptom network and their application advantages and challenges in the precise diagnosis and treatment of ACS. Symptom networks visualize the complex associations among symptoms through the network structure and specificity indicators constructed by nodes and edges and effectively identify core and bridge symptoms. Studies have shown that symptom networks can not only accurately reflect the dynamic changes of complex ACS symptoms but also combine with biomarkers to realize early identification and precise intervention. However this research paradigm still faces challenges such as data safety limitations of multi-omics technology and application of results. More empirical studies are needed to improve the model of symptom network and promote the application of precision medicine in ACS symptom management in the future.


Cite this article

Ping WEI , Hua ZHANG .

Research Progress on Symptom Network of Acute Coronary Syndrome Based on Precision Medicine

[J]. CHINESE JOURNAL OF MEDICINAL GUIDE, 2025 , 27(5) : 442 -447 . DOI: magtech.2025.01.09-00002

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