基于“三态四浊”理论的高脂血症表征体系及其预警应用初探

Preliminary study on disease characterization system of hyperlipidemia and its early warning based on the theory of"three physical states and four turbid bio-indicators"

高脂血症是常见慢性疾病,进行疾病预警并提前干预是降低发病率的关键手段。本文旨在探索一种新的“治未病”研究范式,通过生物信息与机器学习的结合,系统理解高脂血症“治未病”的现代医学内涵。基于高脂血症“三态四浊”理论的预警体系,重点关注从“欲病态”到“已病态”人体体征、血液、尿液以及粪便的生物信息从“清”到“浊”的动态变化过程。通过高脂血症“欲病态”的多维动态数据,揭示高脂血症从“欲病态”到“已病态”的临界转变规律,通过数学模型量化“欲病态”以进行疾病风险预警,为理解高脂血症发病机制、预判高脂血症发病与进展、实现精准预防以及开发诊疗新技术提供新的研究思路。

Hyperlipidemia is a common chronic disease,and its early warning and intervention are the key means to reduce the incidence rate.This paper aims to explore a new research paradigm of"preventing a disease before it arises",and systematically understand the modern medical connotation of"preventing the hyperlipidemia before it arises"through the combination of biological information and machine learning.The warning system of hyperlipidemia based on the theory of"three physical states and four turbid bio-indicators",focuses on the dynamic change process of the biological information of physical signs,blood,urine,and feces from"being clear"to"being turbid",during the transformation of the"pre-diseased state"into the"diseased state".Based on the multi-dimensional dynamic data of the"pre-diseased state"of hyperlipidemia,the critical transition law of hyperlipidemia from"pre-diseased state"to"diseased state"has been revealed,and the"pre-diseased state"has been quantified through mathematical model for the disease risk warning.It provides new research ideas for understanding the pathogenesis of hyperlipidemia,predicting its onset and progress,achieving precise prevention,and developing new diagnosis and treatment technologies for it.