症状同期网络在慢性病患者中的研究进展  

Research Progress of Symptom Synchronization Network in Chronic Disease Patient

作　　者：周佳灵 李金秀[1] 

机构地区：[1]吉首大学医学院,湖南 吉首

出　　处：《护理学》2024年第6期679-684,共6页Nursing Science

摘　　要：慢性病患者病程长,病情复杂,需要长时间的治疗和康复,在这一病程中会存在多种症状并存的情况,这将会严重影响着患者的生命质量。目前,为明确患者的多重症状之间的关系,提出了症状网络新范式,以便精准干预改善患者生命质量。对症状同期网络的发展理论和症状识别指标、在慢性病患者中的应用分析以及同期网络在各慢性病患者中所存在的困难和对未来的展望进行综述,以期为临床制定精准护理干预及症状管理提供参考。Chronic illness patients experience long disease courses and complex symptoms, necessitating prolonged treatment and rehabilitation. During this course, multiple symptoms may coexist, severely impacting the patients’ quality of life. To clarify the relationship between these multiple symptoms, a new paradigm called symptom network analysis has been proposed, aiming for precise interventions to improve patients’ quality of life. This review provides an overview of the theoretical development of symptom network analysis, symptom identification indicators, its application in chronic illness patients, challenges encountered in different patient populations, and prospects for the future. It aims to provide insights for clinical interventions and symptom management in order to enhance patient care.

关 键 词：慢性病 症状 同期网络 网络分析 综述 

分 类 号：R47[医药卫生—护理学]