摘要
目的探讨放射性肺纤维化非小细胞肺癌(NSCLC)患者疲劳程度的潜在剖面特征,为制订精准化护理策略提供依据。方法采用便利抽样法,选取2022年1月—2023年12月在郑州大学第一附属医院接受治疗的120例放射性肺纤维化NSCLC患者为研究对象,采用基线资料调查表、多维疲劳量表对患者进行调查,对患者的疲劳程度进行潜在剖面分析(LPA),采用无序多分类Logistic回归分析剖面类别的影响因素。本研究共发放问卷120份,回收有效问卷116份,问卷有效回收率为96.67%(116/120)。结果116例放射性肺纤维化NSCLC患者LPA分析确定了3个潜在类别,分别为生理-认知复合型疲劳组(n=52)、情绪-睡眠障碍型组(n=38)、轻度适应型组(n=26)。无序多分类Logistic回归分析结果显示,年龄、东部肿瘤协作组评分、卡氏功能状态评分、睡眠质量、焦虑是放射性肺纤维化NSCLC患者生理-认知复合型疲劳潜在类别的影响因素(P<0.05);睡眠质量、焦虑、抑郁、疼痛、卡氏功能状态评分是放射性肺纤维化NSCLC患者情绪-睡眠障碍型疲劳潜在类别的影响因素(P<0.05)。结论放射性肺纤维化NSCLC患者可分为3个疲劳程度亚型,应据此制订差异化护理策略,实现精准化护理干预。
Objective To explore the latent profile characteristics of fatigue in patients with non-small cell lung cancer(NSCLC)complicated by radiation-induced pulmonary fibrosis(RIPF),and to provide evidence for developing precision nursing strategies.Methods A convenience sample of 120 patients with RIPF and NSCLC who received treatment at the First Affiliated Hospital of Zhengzhou University between January 2022 and December 2023 was recruited.Baseline demographic and clinical data and the Multidimensional Fatigue Inventory(MFI)were collected.Latent profile analysis(LPA)was performed to classify fatigue levels,and multinomial logistic regression was used to identify influencing factors.A total of 120 questionnaires were distributed,and 116 valid responses were obtained,with a valid response rate of 96.67%(116/120).Results LPA identified three latent classes of fatigue among the 116 patients:the physiological-cognitive compound fatigue group(n=52),the emotional-sleep disturbance group(n=38),and the mildly adaptive group(n=26).Multinomial logistic regression revealed that age,Eastern Cooperative Oncology Group performance status(ECOG-PS),Karnofsky Performance Status(KPS),sleep quality,and anxiety were significant factors associated with the physiological-cognitive compound fatigue group(P<0.05).Sleep quality,anxiety,depression,pain,and KPS were significant factors associated with the emotional-sleep disturbance group(P<0.05).Conclusions Patients with RIPF and NSCLC can be classified into three subtypes of fatigue.Differentiated nursing strategies should be developed accordingly to achieve precise and individualized interventions.
作者
张丛
杨靖
康晓娜
韩晓丹
Zhang Cong;Yang Jing;Kang Xiaona;Han Xiaodan(Department of Radiation Oncology III,the First Affiliated Hospital of Zhengzhou University,Zhengzhou 450000,China)
出处
《中华现代护理杂志》
2025年第29期3998-4003,共6页
Chinese Journal of Modern Nursing
关键词
肺肿瘤
非小细胞肺癌
放射性肺纤维化
疲劳
潜在剖面分析
Lung neoplasms
Non-small cell lung cancer
Radiation-induced pulmonary fibrosis
Fatigue
Latent profile analysis
