心血管外科手术复杂性评估系统的现状及研究进展  

State of Art and Future Prospects of Complexity Assessment Systems for Cardiovascular Surgery

作　　者：朱坤 徐航 郑珊珊 仲肇基 孙海宁 刘盛 ZHU Kun;XU Hang;ZHENG Shanshan;ZHONG Zhaoji;SUN Haining;LIU Sheng(Adult Cardiac Surgery Center,National Center for Cardiovascular Diseases antl Fuwai Hospital,Chinese Academy of Medical Sciences and Peking Union Medical Collegc,Beijing 100037,China)

机构地区：[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

出　　处：《中国循环杂志》2024年第6期620-624,共5页Chinese Circulation Journal

基　　金：中国医学科学院阜外医院人工智能与信息化应用基金(2022-AI02)。

摘　　要：心血管外科手术仍是部分先天性或获得性心血管疾病的首选治疗方式,随着我国人口老龄化的加剧,不健康生活方式的流行,我国心血管疾病的负担仍在持续增加,心血管外科手术量持续处于高位,这对我国心血管疾病防治策略和医疗资源配置提出了新的需求。心血管外科手术围术期并发症多、死亡风险高,科学的手术复杂性评估系统可以帮助临床医生充分评估手术难度,进行患者手术风险分层,针对性、个性化制定诊疗方案;同时,有助于卫生管理部门准确掌握我国心血管外科整体诊疗水平,监测医疗质量,为相关医疗政策的制定与实施提供参考。本文系统性回顾不同心血管手术复杂性评估系统的循证研究现状,并总结机器学习在心血管手术评估的应用,以期对建立适用于中国人群的心血管手术复杂性评估系统有所帮助。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.

关 键 词：心血管外科手术 复杂性评估系统 传统模型 机器学习 

分 类 号：R54[医药卫生—心血管疾病]