Asklepios Klinikum Uckermark, Schwedt, Germany (I Department of Internal Medicine).
Central Clinical Hospital of Interior and Administration, Warsaw, Poland (Department of Orthopedics, Traumatology and Sports Medicine).
Int J Occup Med Environ Health. 2023 Dec 15;36(6):693-703. doi: 10.13075/ijomeh.1896.02171. Epub 2023 Oct 2.
Atherosclerosis remains the main cause of death worldwide. Most important issues concerning atherosclerosis are hemodynamics and how it affects plaque prevalence and distribution, as well as the symmetry and asymmetry of vasculature and plaques. To present the symmetry in the vascular system an analysis of PubMed and MEDLINE databases was performed. As of February 21, 2023, the results were as follows: for "symmetry" AND "atherosclerosis" there were 47 results; for "symmetry" AND "atherosclerotic lesions" - 20 results; for "symmetry" AND "artery stenosis" - 82 results; for "asymmetry" AND "atherosclerosis" - 87 results. Not without meaning are preventive measures. In the light of the Fourth Industrial Revolution artificial intelligence (AI) solutions help to develop new tools outperforming already existing cardiovascular risk scales. The aim of this paper is to present a current view on symmetry within vasculature and atherosclerosis as well as present a new approach to assess individuals' cardiovascular risk in accordance with precision medicine assumptions. Symmetry and asymmetry within the human vascular system play a crucial role in understanding of arterial diseases, including atherosclerosis. Moreover, it is unavoidable to use AI in cardiovascular risk stratification. Int J Occup Med Environ Health. 2023;36(6):693-703.
动脉粥样硬化仍然是全球主要的死亡原因。与动脉粥样硬化有关的最重要问题是血液动力学，以及它如何影响斑块的发生率和分布，以及血管和斑块的对称性和非对称性。为了呈现血管系统的对称性，对 PubMed 和 MEDLINE 数据库进行了分析。截至 2023 年 2 月 21 日，结果如下：“对称性”和“动脉粥样硬化”有 47 个结果；“对称性”和“动脉粥样硬化病变”有 20 个结果；“对称性”和“动脉狭窄”有 82 个结果；“非对称性”和“动脉粥样硬化”有 87 个结果。预防措施并非没有意义。在第四次工业革命的背景下，人工智能（AI）解决方案有助于开发新的工具，其性能优于现有的心血管风险评估量表。本文的目的是呈现血管和动脉粥样硬化中对称性的当前观点，并根据精准医学的假设提出一种新的评估个体心血管风险的方法。人类血管系统中的对称性和非对称性在理解包括动脉粥样硬化在内的动脉疾病方面起着至关重要的作用。此外，在心血管风险分层中不可避免地要使用 AI。国际职业医学与环境卫生杂志。2023 年；36(6):693-703。
