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