Stroke risk assessment method and system based on related risk factors

Abstract

The invention discloses a stroke risk assessment method and system based on related risk factors, and the method comprises the following steps: 1), collecting risk factor information and genetic information of an assessed person, and enabling the risk factor information to include personal information, disease history information, physiological and biochemical information and living habit information, wherein each type of information further comprising a plurality of information items, each information item can comprise one or more labels, and corresponding risk factor values (Value) are set for the labels and / or the information items, and (2) calculating a risk score f according to the risk factor information of the assessed person and the corresponding risk factor values of the genetic information.

Description

technical field [0001] The present invention relates to a system for providing a comprehensive risk assessment of stroke based on stroke-related risk factors. Background technique [0002] There are 2 million new cases of stroke in China every year. The age-standardized stroke prevalence rate was 1114.8 / 100,000, incidence rate was 246.8 / 100,000, and mortality rate was 114.8 / 100,000. The "China Cardiovascular Disease Report 2018" pointed out that the number of patients with cardiovascular disease in my country is 290 million, of which 13 million have strokes and 245 million have high blood pressure. In the past 30 years, the incidence of stroke in my country has risen sharply, showing rapid growth among low-income groups, obvious gender and regional differences, and younger trends. According to the comprehensive standardized prevalence rate calculation in 2016, there are 12.42 million people over the age of 40 in my country who are currently suffering from or have had strok...

AI Technical Summary

Problems solved by technology

[0012] Among the existing scales and risk models, the modified Framingham Stroke Scale is suitable for the primary prevention risk assessment of ischemic stroke, and the stroke risk factors involved are not comprehensive enough, and the Essen scale is suitable for clinical application to assess the risk of ischemic stroke Patient's long-term recurrence risk, its predictive value is limited

Although the China-PAR stroke risk prediction model is more accurate than the previous two, it lacks stroke genetic factors, education level, psychological factors, drinking frequency, blood homocysteine, C-reactive protein and other factors

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