Résumé
Objective To investigate the epidemiological characteristics of acute myocardial infarction (AMI) in Yichang City in the last 5 years, and to provide a basis for targeted prevention and treatment. Methods The annual estimated percentage was used to evaluate the trend of morbidity and mortality of AMI by using the monitoring data from 2015 to 2019 from the health big data platform of Yichang. Results There were 1 976 new cases of AMI in Yichang from 2015 to 2019, with a crude morbidity of 41.96/100 000, and standardized morbidity of 87.52/100 000. Among them the crude incidence rate in males was 57.69/100 000, and 29.84/100 000 in females. The difference was statistically significant (χ2=15.76, P2=45.65, P<0.001). The morbidity and mortality of males and females were increased with age. Conclusion From 2015 to 2019, the morbidity of AMI in Yichang was at a moderately low level in China, but the mortality was higher than the national average. The morbidity showed an upward trend, with men and elderly people aged ≥60 being more serious. Appropriate intervention measures should be taken for different groups of people to reduce the incidence of AMI.
Résumé
Population-based lifetime health services rely on health management practice.Collection,management and analysis of big data are highly suitable for the huge population base in China.Nowadays,more and more research focus on the methods,security and ethnicity of health management and big data,and a plenty of instructive results have been made,which could be used to guide the future practice and development.Yichang mode has set a precedent for construction and use of big data for health management.
Résumé
Population-based lifetime health services rely on health management practice. Collection, management and analysis of big data are highly suitable for the huge population base in China. Nowadays, more and more research focus on the methods, security and ethnicity of health management and big data, and a plenty of instructive results have been made, which could be used to guide the future practice and development. Yichang mode has set a precedent for construction and use of big data for health management.