Objective To investigate the current symptom status of maintenance hemodialysis(MHD)patients,analyze the influencing factors from the perspective of multidimensional symptom burden,extract symptom groups,and construct a symptom network.Methods A total of 490 patients who received MHD at the blood purification center of a tertiary hospital in Shanghai from March to April 2025 were selected using a convenience sampling method.30 symptoms of MHD patients were investigated using a modified dialysis symptom index table.SPSS and R software were utilized to analyze the influencing factors,extract symptom groups,and construct a multidimensional symptom network.Results A total of 488 valid questionnaires were collected,with a valid questionnaire recovery rate of 99.59％.The median number of symptoms experienced by patients was 6(interquartile range:4,8),with the top 5 symptoms being dry skin(69.88％),fatigue or tiredness(56.97％),itching(56.97％),worry(50.20％),and dry mouth(46.31％).Multidimensional analysis indicated that age,duration of dialysis,education level,and complications were influencing factors of symptom burden scores across different dimensions.6 stable symptom groups were extracted,namely skin discomfort,fatigue and pain,gastrointestinal tract,sleep disorders,water-electrolyte imbalance,and uremia.The results of the symptom network analysis revealed that difficulty of falling asleep had the highest intensity centrality(rs=2.18,2.25,2.12).Conclusion The symptom association is relatively stable,and difficulty of falling asleep is the core symptom.This finding can assist clinical medical staff in achieving efficiency and precision in symptom group management.

Objective To investigate the current symptom status of maintenance hemodialysis(MHD)patients,analyze the influencing factors from the perspective of multidimensional symptom burden,extract symptom groups,and construct a symptom network.Methods A total of 490 patients who received MHD at the blood purification center of a tertiary hospital in Shanghai from March to April 2025 were selected using a convenience sampling method.30 symptoms of MHD patients were investigated using a modified dialysis symptom index table.SPSS and R software were utilized to analyze the influencing factors,extract symptom groups,and construct a multidimensional symptom network.Results A total of 488 valid questionnaires were collected,with a valid questionnaire recovery rate of 99.59％.The median number of symptoms experienced by patients was 6(interquartile range:4,8),with the top 5 symptoms being dry skin(69.88％),fatigue or tiredness(56.97％),itching(56.97％),worry(50.20％),and dry mouth(46.31％).Multidimensional analysis indicated that age,duration of dialysis,education level,and complications were influencing factors of symptom burden scores across different dimensions.6 stable symptom groups were extracted,namely skin discomfort,fatigue and pain,gastrointestinal tract,sleep disorders,water-electrolyte imbalance,and uremia.The results of the symptom network analysis revealed that difficulty of falling asleep had the highest intensity centrality(rs=2.18,2.25,2.12).Conclusion The symptom association is relatively stable,and difficulty of falling asleep is the core symptom.This finding can assist clinical medical staff in achieving efficiency and precision in symptom group management.