System and kit for predicting adverse events after myocardial infarction

Abstract

The invention relates to the field of medical diagnosis, and in particular, relates to a system for predicting risks of adverse events (including a composite endpoint of death, re-infarction, heart failure and target vascular reconstruction) after myocardial infarction. The system includes an access controller, a detection part, a sample information receiving functional module, an assignment module, a risk calculation module and a reporting system main interface; the risk calculation module receives assignment values of the assignment module and calculates to obtain the risk of the adverse events after myocardial infarction according to the total score of the assignment values. The system is easy to operate, the results of the evaluation are intuitionistic to display, and the system provided by the invention can accurately and quickly do reasonable risk detection on the patient crowd with myocardial infarction, guides an individualized precise treatment strategy and has important clinical application value.

Description

technical field [0001] The invention relates to the field of medical diagnosis, in particular to a system and kit for predicting adverse events 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 my country. It has become the number one killer that endangers the health of Chinese people and has caused a huge burden to society and families. [0003] Acute myocardial infarction (AMI) is one of the leading causes of cardiovascular death. With the application of intensive dru...

AI Technical Summary

Problems solved by technology

The problems of this detection method include: the medical level varies greatly in different regions, and the relevant training received by doctors of different levels varies greatly. First, it is difficult to standardize the assessment of the risk of long-term adverse events after myocardial infarction, so as to control the follow-up treatment; second, Simply stratifying the risk of adverse events based on age, gender, and weight, although it provides a reference for clinical operations to a certain extent, it is still unable to individualize the risk of patients, and has not been paid more and more attention in clinical practice. Hematological markers included in the scope of risk detection

Currently, there are no rapid thyroid function tests and their combination tools for risk assessment of adverse events in patients with acute myocardial infarction

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