Objective To classify the characteristics of family resilience among patients undergoing maintenance hemodialysis, to analyze the influencing factors of different categories, and to provide a reference for developing interventions to enhance family resi-lience.Methods A convenience sample of 441 patients receiving maintenance hemodialysis from four tertiary hospitals in Yangzhou was selected for this study.Data were collected using a general demographic questionnaire, the Simplified Chinese Version of the Family Resilience Assessment Scale, and the Social Support Rating Scale.Latent profile analysis was employed to identify categories of family resilience, while unordered multinomial logistic regression analysis was used to examine the influencing factors of different categories.Results The family resilience score for maintenance hemodialysis (MHD) patients was (79.95±6.05).Family resilience of hemodialysis patients were categorized into three categories:vulnerable family resilience (33.5%), balanced family resi-lience (55.6%), and positive family resilience (10.9%).logistic regression analysis indicated that, compared to the vulnerable family resilience category, patients with higher educational attainment, shorter duration of dialysis, and no comorbidities were more likely to belong to the balanced family resilience category.Furthermore, patients with higher educational attainment, a monthly family income exceeding 6000 yuan, no comorbidities, and higher levels of social support were more inclined to join into the positive family resilience category (all P＜0.05).Conclusion There is heterogeneity in the family resilience characteristics of hemodialysis patients.Factors such as educational level, duration of dialysis, number of comorbidities, monthly family income, and level of social support influence the classification of family resilience among MHD patients.Healthcare providers should offer tailo-red support and guidance based on the unique characteristics of different families to enhance their coping abilities in managing illness.