Early arteriosclerosis risk assessment model device

Abstract

The invention provides an early arteriosclerosis risk assessment model device. The calculation formula of a system model for predicting early arteriosclerosis risk assessment by cardiovascular disease risk factors is P = 1-S0 (t) exp (f [x, M]), f (x, M) = beta1 (x1-M1) +... + betap (xp-Mp); wherein beta1-betap is a partial regression coefficient of different layers of each risk factor, x1-xp is a level of each risk factor of each person, and M1-MP is an average level of each risk factor of the person; s0 (t) is an average morbidity function at t time, namely a morbidity function at the average level of risk factors; the method can play a real-time early warning role in early arteriosclerosis, and has the characteristics of low complexity, low cost and relatively high prediction accuracy, so that the accuracy of early screening of diseases such as cardiovascular diseases is effectively improved, and the method is suitable for large-scale early screening of asymptomatic people.

Description

technical field [0001] The invention relates to the technical field of medical risk measurement, in particular to an early-stage arteriosclerosis risk assessment model device. Background technique [0002] Cardiovascular and cerebrovascular diseases seriously endanger the health of the Chinese people, and the burden of disease is increasing day by day. It has become a major public health problem, and it is imperative to strengthen the prevention and treatment of cardiovascular diseases. More than 75% of the disabled and fatal cardiovascular disease patients are caused by atherosclerotic disease, and atherosclerosis is the result of the joint action of cardiovascular disease risk factors. Its occurrence and development process is long, and early lesions are often asymptomatic. A single risk factor is rare, and it is more common to have multiple risk factors, and the risk of cardiovascular disease also depends on the number and degree of risk factors present at the same time. ...

AI Technical Summary

Problems solved by technology

[0003] Although the current detection methods of cardiovascular diseases based on imaging features have a good effect in individual identification of cardiovascular lesions, due to their high cost, it is difficult to achieve large-scale population screening and multiple tracking of individuals. Prediction of early cardiovascular disease and early arteriosclerosis

The existing developed risk assessment models at home and abroad have been applied to predict the probability of coronary heart disease risk in a certain period of time (10 years, 30 years) for individuals with different risk levels, and have studied and developed natural population ischemic cardiovascular disease. The 10-year assessment model and simple assessment tools for disease risk factors are based on traditional risk factors to predict and assess cardiovascular events, mainly for long-term (10 years and above) cardiovascular events (coronary heart disease, stroke) However, there is a lack of research on the relationship between multiple cardiovascular disease risk factors and early cardiovascular disease outcomes, and a relevant risk assessment model has not been established for early arteriosclerosis risk outcomes; special literature reports that the existing domestic prediction models are useful for those People with higher levels of multiple risk factors in the population will have larger errors, and there is a lack of clinical follow-up research reports, and a risk prediction model for cardiovascular disease risk factors and early arteriosclerosis has not yet been established

[0004] As the number of risk factors increases, the absolute risk of cardiovascular disease increases, but different risk factors have different effects on the risk of cardiovascular disease, and there are synergistic effects among multiple risk factors. Individuals with risk factors, although the level of each risk factor is only slightly increased, have a higher risk of disease than individuals with only a very high level of risk factors, but the former often seldom attract enough attention

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