Zhang Ying, Liu Sainan, Miao Qi, Zhang Xu, Wei He, Feng Shuang, Li Xiaofei
The First Affiliated Hospital of China Medical University, Shenyang, 110001, People's Republic of China.
Psychol Res Behav Manag. 2024 Mar 18;17:1205-1219. doi: 10.2147/PRBM.S454787. eCollection 2024.
Kidney transplant recipients (KTRs) may experience symptoms that increase their fear of progression (FoP), but a dearth of research examines the issue from a patient-centered perspective. Our study aimed to first determine the category of symptom burden, then to explore the differences in characteristics of patients in different subgroups, and finally to analyze the impact of symptom subgroup on FoP.
Sociodemographic and Clinical Characteristics, Symptom Experience Scale, and Fear of Progression Questionnaire-Short Form were used. Latent class analysis was used to group KTRs according to the occurrence of symptoms. We used multivariate logistic regression to analyze the predictors of different subgroups. The differences in FoP among symptom burden subgroups were analyzed by hierarchical multiple regression.
Three subgroups were identified, designated all-high (20.5%), moderate (39.9%), and all-low (39.6%) according to their symptom occurrence. Multivariate logistic regression showed that gender, post-transplant time, per capita monthly income, and hyperuricemia were the factors that distinguished and predicted the all-high subgroup ( < 0.05). Hierarchical multiple regression showed that symptom burden had a significant effect on FoP (class1 vs class3: = 0.327, < 0.001; class2 vs class3: = 0.104, = 0.046), explaining the 8.0% variance of FoP ( = 0.080).
KTRs generally experience moderate or low symptom burden, and symptom burden is an influencing factor in FoP. Identifying the traits of KTRs with high symptom burden can help clinicians develop targeted management strategies and ease FoP of KTRs.
肾移植受者(KTRs)可能会出现一些症状,这些症状会增加他们对疾病进展的恐惧(FoP),但缺乏从患者角度研究该问题的相关研究。我们的研究旨在首先确定症状负担的类别,然后探讨不同亚组患者特征的差异,最后分析症状亚组对FoP的影响。
使用社会人口统计学和临床特征、症状体验量表以及疾病进展恐惧问卷简表。采用潜在类别分析根据症状的发生情况对KTRs进行分组。我们使用多因素逻辑回归分析不同亚组的预测因素。通过分层多元回归分析症状负担亚组之间FoP的差异。
根据症状发生情况确定了三个亚组,分别命名为全高组(20.5%)、中度组(39.9%)和全低组(39.6%)。多因素逻辑回归显示,性别、移植后时间、人均月收入和高尿酸血症是区分和预测全高亚组的因素(<0.05)。分层多元回归显示,症状负担对FoP有显著影响(第1组与第3组:=0.327,<0.001;第2组与第3组:=0.104,=0.046),解释了FoP方差的8.0%(=0.080)。
KTRs一般经历中度或低度症状负担,且症状负担是FoP的一个影响因素。识别症状负担高的KTRs的特征有助于临床医生制定有针对性的管理策略,减轻KTRs的FoP。