主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2025, Vol. 25 ›› Issue (11): 1638-1643.doi: 10.3969/j.issn.1672-1756.2025.11.008

• 论著 • 上一篇    下一篇

慢性肝衰竭患者疲乏的潜在剖面分析及影响因素研究

彭丹 徐霞飞 杨红娟 徐斐斐 缪幼菡   

  1. 南通市第三人民医院肝病一科,226000 江苏省南通市(彭丹,徐霞飞,杨红娟,徐斐斐);肝病二科(缪幼菡)
  • 出版日期:2025-11-15 发布日期:2025-11-15
  • 作者简介:彭丹,本科,主管护师,E-mail:Pengdanerr@163.com
  • 基金资助:
    南通市第三人民医院科技项目(20230800N02)

Latent profile classification and influencing factors of fatigue in patients with chronic liver failure

PENG Dan, XU Xiafei, YANG Hongjuan, XU Feifei, MIAO Youhan   

  1. Department of Hepatology, Nantong Third People's Hospital, Nantong, Jiangsu province, 226000, China
  • Online:2025-11-15 Published:2025-11-15

摘要: 目的:分析慢性肝衰竭患者疲乏的潜在分类特征及其影响因素,为临床制定个性化护理干预措施提供依据。方法:采用便利抽样法,选取2024年1月—12月江苏省某三级甲等医院收治的262例慢性肝衰竭患者为研究对象,采用一般资料调查表、多维疲乏量表、匹兹堡睡眠质量指数量表、汉密尔顿焦虑量表、汉密尔顿抑郁量表、领悟社会支持量表、痛苦表露指数量表及营养风险筛查量表进行调查。通过潜在剖面分析对患者疲乏状况进行分类,并采用多元Logistic回归分析疲乏的影响因素。结果:患者疲乏可分为3类:低疲乏组(29.01%)、高体力疲乏活动减少组(30.53%)和动力下降高脑力疲乏组(40.46%)。多元回归分析显示,年龄、睡眠质量、焦虑程度、抑郁程度、社会支持、痛苦表露及营养风险是影响患者疲乏分类的主要因素。结论:慢性肝衰竭患者的疲乏具有异质性,可分为3类不同特征群体。临床护士应结合患者具体特征,采取针对性干预措施。

关键词: 慢性肝衰竭;疲乏;潜在剖面分析;影响因素

Abstract: Objective: To explore the potential classification characteristics and influencing factors of fatigue in patients with chronic liver failure, providing a basis for developing personalized nursing interventions. Methods: Using convenience sampling, 262 patients with chronic liver failure admitted to a tertiary grade A hospital in Jiangsu province from January to December 2024 were recruited. Assessments were conducted using the General Information Questionnaire, Multidimensional Fatigue Inventory-20 (MFI-20), Pittsburgh Sleep Quality Index (PSQI), Hamilton Anxiety Rating Scale (HAMA), Hamilton Depression Rating Scale (HAMD), Perceived Social Support Scale (PSSS), Distress Disclosure Index (DDI), and Nutritional Risk Screening 2002 (NRS 2002). Latent profile analysis was employed to classify fatigue types, and multivariate Logistic regression was used to analyze influencing factors. Results: Patient fatigue could be categorized into three groups: low fatigue (29.01%), high physical fatigue with reduced activity (30.53%), and decreased motivation with high mental fatigue (40.46%). Multivariate Logistic regression analysis revealed that age, sleep quality, anxiety level, depression level, social support, distress disclosure, and nutritional risk were the main factors influencing fatigue classification. Conclusion: Fatigue in chronic liver failure patients exhibits heterogeneity and can be classified into three distinct characteristic groups. Clinical nursing interventions should be tailored according to patients' specific characteristics.

Key words: chronic liver failure; fatigue; latent profile analysis; influencing factor

中图分类号:  R47;R197