ArticleBMC nephrology2023
Exploration of symptom clusters during hemodialysis and symptom network analysis of older maintenance hemodialysis patients: a cross-sectional study.
Article in BMC nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed, 39 citations in OpenAlex.
- Laser acupuncture improves post-dialysis fatigue and sleep quality independent of time-varying dialysis and depression symptoms: a double-blind, randomized, placebo-controlled trial.BMC complementary medicine and therapies · 2025Trial
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- 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
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- Symptom network structure across stigma subgroups in maintenance hemodialysis: a latent profile and network analysis.BMC nephrology · 2026Article
- The relationship between sleep quality, fatigue, and depressive symptoms in maintenance hemodialysis patients: a cross-lagged analysis.BMC nephrology · 2026Article
- Comprehensive management of hemodialysis catheter-related bloodstream infections: a narrative review.Frontiers in cellular and infection microbiology · 2026Review
- The hidden burden of college life: Stress, sleep, and salivary biomarkers in students-A cross-sectional study.PLOS mental health · 2026Article
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- Symptom clusters and core symptoms in early postoperative esophageal cancer patients.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026Article
- Self-perceptions of aging and associated factors among older patients undergoing maintenance hemodialysis: a latent profile analysis.Frontiers in public health · 2026Article
- Network analysis of multidimensional symptom experience among postoperative esophageal cancer survivors.Health and quality of life outcomes · 2025Article
- Identifying core symptom clusters based on symptom distress levels in patients with maintenance hemodialysis: a cross-sectional network analysis.Renal failure · 2025Article
- The relationship between flourishing, social support, and regulatory emotional self-efficacy in maintenance hemodialysis patients: a network analysis.BMC psychiatry · 2025Article
- Trajectories of Symptom Clusters and Their Predictive Factors in Patients With Colorectal Cancer 3 Months After Surgery: A Longitudinal Study.Cancer medicine · 2025Observational
- Article
- Psychological consistency network characteristics and influencing factors in patients after percutaneous coronary intervention treatment.World journal of psychiatry · 2025Article
- Using Ecological Momentary Assessment to Redefine Postdialysis Fatigue in Patients with Kidney Failure.Journal of the American Society of Nephrology : JASN · 2025Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSymptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have established networks of symptoms experienced by older patients on maintenance hemodialysis. Our goal was to examine the type of symptom clusters of older maintenance hemodialysis patients during dialysis and construct a symptom network to understand the symptom characteristics of this population.
methodsThe modified Dialysis Symptom Index was used for a cross-sectional survey. Network analysis was used to analyze the symptom network and node characteristics, and factor analysis was used to examine symptom clusters.
resultsA total of 167 participants were included in this study. The participants included 111 men and 56 women with a mean age of 70.05 ± 7.40. The symptom burdens with the highest scores were dry skin, dry mouth, itching, and trouble staying asleep. Five symptom clusters were obtained from exploratory factor analysis, of which the clusters with the most severe symptom burdens were the gastrointestinal discomfort symptom cluster, sleep disorder symptom cluster, skin discomfort symptom cluster, and mood symptom cluster. Based on centrality markers, it could be seen that feeling nervous and trouble staying asleep had the highest strength, and feeling nervous and feeling irritable had the highest closeness and betweenness.
conclusionsHemodialysis patients have a severe symptom burden and multiple symptom clusters. Dry skin, itching, and dry mouth are sentinel symptoms in the network model; feeling nervous and trouble staying asleep are core symptoms of patients; feeling nervous and feeling irritable are bridge symptoms in this symptom network model. Clinical staff can formulate precise and efficient symptom management protocols for patients by using the synergistic effects of symptoms in the symptom clusters based on sentinel symptoms, core symptoms, and bridge symptoms.
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