肾移植受者同期症状网络分析及症状群的识别

Analysis of concurrent symptom networks and identification of symptom clusters in kidney transplant recipients

  • 摘要:
    目的 探讨肾移植受者的症状群, 并构建同期症状网络识别核心症状。
    方法 选取343例肾移植术后随访患者为研究对象。采用一般信息调查表和中文版改良移植症状发生和症状困扰量表分析患者症状发生情况。本研究仅保留发生率大于20%且症状严重程度得分与总分的Spearman相关系数大于0.40的症状。采用探索性因子分析,以因子载荷≥0.45为标准提取症状群。运用R语言构建症状网络,并据此识别核心症状与桥梁症状。
    结果 本研究共提取5个症状群,即神经-胃肠道症状群、情绪相关症状群、激素相关症状群、能量不足症状群、视力相关症状群。核心症状是焦虑(rs=1.75)、情绪波动(rs=1.50)、肌肉无力(rs=1.27)。桥梁强度排名前3位的症状是肌肉无力(rb=0.87)、缺乏活力(rb=0.66)、感到疲劳(rb=0.65)。
    结论 肾移植患者术后存在多种症状。临床医生可依据症状网络分析结果,加强对核心症状和桥梁症状的评估,以制订精准干预策略,提升症状管理效果。

     

    Abstract:
    Objective To explore the symptom clusters in renal transplant recipients and construct a concurrent symptom network to identify core symptoms.
    Methods A total of 343 patients with followed up after renal transplantation were selected as the study subjects. A general information questionnaire and the Chinese version of the Modified Transplant Symptom Occurrence and Symptom Distress Scale were employed to analyze the occurrence of symptoms in patients. In this study, only symptoms with an incidence rate greater than 20% and Spearman correlation coefficient greater than 0.40 between symptom severity and total score were retained. Exploratory factor analysis was used to extract symptom clusters with a factor loading of ≥0.45 as the criterion. The R language was utilized to construct symptom network, based on which core symptoms and bridge symptoms were identified.
    Results A total of 5 symptom clusters were extracted in this study: the neuro-gastrointestinal symptom cluster, the mood-related symptom cluster, the hormone-related symptom cluster, the energy deficiency symptom cluster and the vision-related symptom cluster. The core symptoms were anxiety (rs=1.75), mood swings (rs=1.50) and muscle weakness (rs=1.27). The top three symptoms in terms of bridge strength were muscle weakness (rb=0.87), lack of vitality (rb=0.66) and fatigue (rb=0.65).
    Conclusion Multiple symptoms are presented in patients after renal transplantation. Based on the results of symptom network analysis, clinicians can strengthen the assessment of core symptoms and bridge symptoms to develop precise intervention strategies and improve the effectiveness of symptom management.

     

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