ArticleRenal failure2025
Identifying core symptom clusters based on symptom distress levels in patients with maintenance hemodialysis: a cross-sectional network analysis.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Network-guided symptom targets in maintenance hemodialysis using in silico interventions: a multicenter cross-sectional study.BMC nephrology · 2026Observational
- Latent profile analysis identifying symptom clusters of fatigue, sleep disturbance, pain, and anxiety and their associations with health-related quality of life and self-efficacy in patients undergoing peritoneal dialysis: a cross-sectional study.Health and quality of life outcomes · 2026Article
- Symptom Clusters and Longitudinal Progression in Chronic Hemodialysis Patients: A Prospective Single-Center Study.Healthcare (Basel, Switzerland) · 2026Article
- Predictive utility of the multi-theory model in physical activity initiation and maintenance intentions among maintenance hemodialysis patients: a cross-sectional study.Frontiers in psychology · 2026Article
- Symptom network analysis during radiotherapy in gastrointestinal cancers: A longitudinal study primarily involving esophageal cancer patients.Asia-Pacific journal of oncology nursing · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
backgroundTo explore the symptom clusters of patients undergoing maintenance hemodialysis and construct a symptom network to identify the core symptoms and core symptom clusters, to provide reference for precise symptom management.
methodsConveniently selected 354 patients with maintenance hemodialysis were surveyed cross-sectionally using the general information questionnaire, the Dialysis Symptom Index and the Kidney Disease Questionnaire. Symptom clusters were extracted using exploratory factor analysis, and core symptom clusters were identified using hierarchical regression and network analysis.
resultsThe most common and severe symptoms were fatigue, dry skin and itching, and the most distressing symptoms were fatigue, itching and trouble falling asleep. Within the symptom network, worry (
conclusionsFatigue was the most severe symptom and the bridge symptom, the uremia-related symptom cluster caused the greatest distress for patients, worry was the core symptom, and the psychological symptom cluster was identified as the core cluster. Clinical staff can provide effective symptom management and improve patient symptom burden by establishing intervention strategies centered on these results.
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