State of Art and Future Prospects of Complexity Assessment Systems for Cardiovascular Surgery
10.3969/j.issn.1000-3614.2024.06.015
- VernacularTitle:心血管外科手术复杂性评估系统的现状及研究进展
- Author:
Kun ZHU
1
;
Hang XU
;
Shanshan ZHENG
;
Zhaoji ZHONG
;
Haining SUN
;
Sheng LIU
Author Information
1. 中国医学科学院 北京协和医学院 国家心血管病中心 阜外医院 成人外科中心,北京 100037
- Keywords:
cardiovascular surgery;
complexity scoring system;
conventional model;
machine learning
- From:
Chinese Circulation Journal
2024;39(6):620-624
- CountryChina
- Language:Chinese
-
Abstract:
Cardiovascular surgery is still the preferred treatment for some congenital or acquired cardiovascular diseases.With the aging of China's population and the prevalence of unhealthy lifestyles brought about by the improvement of living standards,the burden of cardiovascular diseases is still steadily increasing and the volume of cardiovascular surgery continues to be at a high level,which puts forward a new demand for the prevention and treatment strategy of cardiovascular diseases and the allocation of medical resources.Cardiovascular surgery has many perioperative complications and high risk of mortality,a scientific surgical complexity scoring system can help clinicians fully assess the difficulty of surgery,stratify the risk of patient surgery,and formulate targeted and personalized diagnosis and treatment plans;meanwhile,it can help the health management department accurately grasp the overall diagnosis and treatment level of China's cardiovascular surgery,monitor the quality of medical care and provide a reference for the formulation and implementation of relevant medical policies.In this study,we systematically review the current status of evidence-based research on different cardiovascular surgical complexity assessment systems and summarize the application of machine learning in cardiovascular surgical assessment,with a view to contributing to the establishment of a cardiovascular surgical complexity assessment system applicable to the Chinese population.
