Abstract: Objective: To explore the latent categories of self-regulatory fatigue and medical coping in Maintenance Hemodialysis patients and analyze their influencing factors to inform personalized nursing interventions. Methods: From August to October 2023, a convenience sampling method was used to recruit 259 Maintenance Hemodialysis patients from six tertiary hospitals in Jiangsu province. Self-regulatory fatigue and medical coping were assessed using the respective scales, and latent class analysis was applied to identify patient subgroups. A disordered multi-classification Logistic regression model was used to analyze influencing factors. Results: Maintenance Hemodialysis patients were categorized into three groups: "severe regulatory fatigue—passive coping group" (21.62%), "moderate regulatory fatigue—conventional coping group" (59.07%), and "mild regulatory fatigue—active coping group" (19.31%). Independent influencing factors included renal anemia, exercise frequency, sleep quality, marital status, and depressive symptoms (all P<0.05). Conclusion: Significant heterogeneity exists in self-regulatory fatigue and medical coping among Maintenance Hemodialysis patients. Tailored nursing interventions should be employed to improve patients' self-regulatory fatigue and medical coping, enhancing their quality of life.

Key words: Maintenance Hemodialysis; self-regulatory fatigue; medical coping; latent class analysis; nursing intervention