护理研究2024，Vol.38Issue(7)：1129-1138,10.DOI:10.12102/j.issn.1009-6493.2024.07.001
经皮冠状动脉介入术后病人多维症状网络分析
Multidimensional symptom network analysis of patients after percutaneous coronary intervention
摘要
Abstract
Objective:To understand the multidimensional symptom experience of patients undergoing percutaneous coronary intervention(PCI),construct a symptom network of patients after PCI,explore the core symptoms in the symptom network,and provide evidence to support personalized interventions.Methods:Patients undergoing PCI in a hospital in Guangxi were selected from December 2021 to December 2022.The incidence and severity of symptoms associated with post-PCI were investigated using general information,symptom assessment and the 9-item Healthy People Depression Scale;their core symptoms were analysed by network analysis using Gaussian models,and the associations between individual symptoms and demographic,lifestyle and disease factors after PCI were explored based on correlation and regression analysis combined with a mixed symptom network model.Results:The most frequent symptom after PCI was pressure point pain(90.5%),and to a higher degree of severity was fatigue;in the Gaussian network,pressure point pain played a bridging role in the whole network;in the mixed network,the Number of stents had a strong direct association with GI symptoms,sleep disturbance symptoms,panic symptoms,lower limb numbness symptoms and agoraphobia symptoms,depression had a direct association with fatigue symptoms and attitude to life had a direct association with sleep disturbance symptoms.Conclusions:Painful symptom at the point of compression is the primary concern in patients after PCI,and the number of stents fitted often interacts with symptoms such as digestive tract,anxiety and sleep disturbance.Future studies are necessary to establish dynamic symptom networks and centrality index trajectories in longitudinal data to explore the causal relationship between the above symptoms and disease.关键词
经皮冠状动脉介入术/症状管理/网络分析技术/个性化护理Key words
PCI/symptom management/network analysis techniques/personalized care引用本文复制引用
李月,陈务贤,李高叶,卢耀琼,崔嘉盛..经皮冠状动脉介入术后病人多维症状网络分析[J].护理研究,2024,38(7):1129-1138,10.基金项目
广西医疗卫生适宜技术开发与推广应用项目,编号:S2021110 （）
