非感染性关节炎患者的慢病管理:挑战与应对  

Chronic Disease Management in Patients with Non⁃infectious Arthritis:Challenges and Solutions

作　　者：翁习生[1] 张奉春[2] WENG Xisheng;ZHANG Fengchun(Department of Orthopedics,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100730,China;Department of Rheumatology and Immunology,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100730,China)

机构地区：[1]中国医学科学院北京协和医院骨科,北京100730 [2]中国医学科学院北京协和医院风湿免疫科,北京100730

出　　处：《协和医学杂志》2025年第1期1-4,共4页Medical Journal of Peking Union Medical College Hospital

摘　　要：非感染性关节炎(non-infectious arthritis,NIS)主要包括骨关节炎和炎性关节炎。在中国,随着人口老龄化的不断加剧,NIS患者的慢病管理将面临巨大挑战,如病程长、多系统受累、个性化诊疗需求高、对疾病认识不足以及共病管理难度大等问题。为应对挑战,需从国家层面制定系统性NIS慢病管理策略,包括加大科普力度、完善转诊制度,同时利用人工智能技术辅助早期诊断,实施包括优化药物/手术治疗和多学科协作的干预措施,以有效管理NIS。未来,随着人工智能技术和新型生物制剂应用研究的不断深入,NIS的慢病管理将更为智能化和个性化。Non⁃infectious arthritis(NIS)mainly includes osteoarthritis and inflammatory arthritis.With the aging of the population,chronic disease management of NIS patients in China will face great challenges,such as long disease duration,multi⁃system involvement,high demand for personalized diagnosis and treatment,lack of patient awareness,and difficulty in managing co⁃morbidities.To address these challenges,a systematic strategy for chronic disease management of NIS needs to be developed at the national level,which encompasses increasing popularization of science,improving the referral system,using artificial intelligence(AI)technology to assist in early diagnosis,and implementing interventions including optimized pharmacologi⁃cal/surgical treatments and multidisciplinary collaboration.In the future,with the deepening of the research on the application of AI technology and novel biologics,the management of chronic disease management of NIS will become more intelligent and personalized.

关 键 词：非感染性关节炎 慢病管理 挑战 人工智能 早期诊断 早期干预 

分 类 号：R592[医药卫生—老年医学] R-1[医药卫生—内科学] R593[医药卫生—临床医学]