潜在类别分析在类风湿关节炎患者疲乏症状中的应用

Application of latent class analysis in fatigue symptoms in patients with rheumatoid arthritis

目的使用潜在类别分析对类风湿关节炎患者疲乏症状进行分类,探讨不同疲乏类别患者的人口学特征和疾病特征的差异。方法采用便利抽样选取北部战区总医院风湿免疫科门诊及住院的250例类风湿关节炎患者,使用一般资料调查表和Bristol类风湿关节炎患者疲劳多维问卷调查。结果类风湿关节炎患者疲乏分为3个类别(P<0.05),根据三类别条件概率命名为无或轻度疲乏(62例占25.1%)、中度疲乏(113例占45.7%)和重度疲乏(72例占29.1%)。多项Logistic回归分析显示关节疼痛程度和生物制剂影响患者的疲乏(P<0.05)。结论关节疼痛程度和生物制剂影响类风湿关节炎患者疲乏,建议医护人员关注疼痛评分较高和未使用生物制剂的患者,并根据疲乏程度给予相应的护理干预。

Objective Use latent class analysis to classify fatigue symptoms in patients with rheumatoid arthritis,and to explore differences in demographic and disease-related characteristics in different fatigue categories.Methods Convenient sampling was used to select 250 rheumatoid arthritis patients in Northern Theater General Hospital,and the patients were investigated by a general questionnaire and Bristol Rheumatoid Arthritis Fatigue Multi-Dimensional Questionnaire.Results The symptoms of fatigue in patients with rheumatoid arthritis were divided into 3 categories(P<0.05).According to the conditional probability of each category,they were named as no or mild fatigue(62,25.1%),moderate fatigue(113,45.7%)and severe fatigue(72,29.1%).Joint pain and use of biological agents were major factors influencing fatigue(P<0.05).Conclusions Joint pain and the use of biologics affect fatigue in rheumatoid arthritis patients.It is recommended that health caregivers pay attention to patients with high pain scores and not using biologics,and give corresponding nursing interventions according to the degree of fatigue.