System for predicting mortality risk after myocardial infarction

Abstract

The invention relates to the field of medical diagnosis, in particular to a system for predicting the mortality risk after myocardial infarction. The system comprises an admission controller, a serumcreatinine detection component, a blood sugar detection component, a sample information receiving function module, an assignment module, a risk calculating module and a report system main interface, wherein the risk calculating module receives assigned values from the assignment module, and calculates according to a total score of the assigned values to obtain the mortality risk after the myocardial infarction. The system is easy to operate, and an assessment result is intuitively displayed; after adoption of the system provided by the invention, reasonable risk detection can be accurately andrapidly performed among a female cardiovascular disease population and individualized precise treatment strategies are guided, so that the system has an important clinical application value.

Description

technical field [0001] The invention relates to the field of medical diagnosis, in particular to a prediction system for the risk of death after myocardial infarction. Background technique [0002] At present, cardiovascular disease has become one of the most important diseases threatening human life. According to the World Health Organization, about 17 million people die from cardiovascular diseases every year, accounting for one-third of the global death toll. It is estimated that by 2020, this number may exceed 20 million. A survey and analysis of the causes of death in my country shows that in recent years, cardiovascular and cerebrovascular diseases accounted for 40% of the death toll in China, and this proportion is showing a younger and rising trend. The biggest disease among cardiovascular diseases is myocardial infarction, which has become the number one cause of death in my country and the number one killer that endangers the health of Chinese people, causing a hu...

AI Technical Summary

Problems solved by technology

The problems of this detection method include: there are large differences in the level of medical care in different regions, and the relevant training received by doctors at different levels is also very different. First, it is difficult to standardize the detection of the risk of death after myocardial infarction in order to control the follow-up treatment, resulting in a high risk of death Patients with low risk of death receive intensified treatment due to inaccurate risk assessment. At the same time, patients with low risk of death receive unnecessary treatment, wasting medical resources. Although it provides a reference for clinical operations to a certain extent, it is still unable to individualize the detection of the risk of death in patients with myocardial infarction, and the hematological markers that are increasingly valued clinically have not been included in the scope of risk detection

However, at present, glomerular filtration rate detection is rarely applied to the detection of cardiovascular disease risk stratification and treatment guidance, especially the detection of death after myocardial infarction in women

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