Evidence map›Paper›PMID 41774396›Full record

ArticleInternational urology and nephrology2026

Exploration of symptom clusters and their trajectories in maintenance hemodialysis patients.

Xiaorong Liu, Huifen Zhao, YuMei Peng, Jianqing Zheng, Yahong Zhou, Changda Lin

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Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaorong LiuDepartment of Hemodialysis, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
Huifen ZhaoDepartment of Nursing Department, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China. 624633497@qq.com.
YuMei PengThe First Affiliated Hospital of Xiamen University, Xiamen, 362000, China.
Jianqing ZhengDepartment of Tumor Radiotherapy, The Second Affiliated Hospital of Fujian Medical University, 950 Donghai Street, Fengze District, Quanzhou, 362000, Fujian, China.
Yahong ZhouDepartment of Hemodialysis, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
Changda LinDepartment of Hemodialysis, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.

Funding

Fujian Medical University Qihang Fund 2022QH1130
6 · The paper itself

Abstract

purposeTo investigate symptom clusters and their longitudinal trajectories in patients undergoing maintenance hemodialysis (MHD).

methodsA convenience sample of 510 MHD patients was enrolled between June 2022 and June 2023. Symptom assessments were conducted at four time points: baseline (T1), 4 months (T2), 8 months (T3), and 12 months (T4), using a general information questionnaire and the dialysis symptom index (DSI). Exploratory factor analysis was applied to identify symptom clusters, and latent class growth modeling was used to examine the longitudinal trajectories of these symptom clusters over the one-year follow-up period.

resultsExploratory factor analysis revealed seven symptom clusters: emotional symptoms, water-electrolyte imbalances, gastrointestinal symptoms, uremia-related symptoms, sleep disturbances, sexual symptoms, and sexual-emotional symptoms. The first five clusters-emotional, water-electrolyte imbalances, gastrointestinal, uremia-related, and sleep disturbances-exhibited common patterns over time. Latent class growth models identified 3 distinct trajectories within each symptom cluster, reflecting heterogeneous patterns of symptom progression.

conclusionThis one-year longitudinal study revealed heterogeneous developmental trajectories across symptom clusters in MHD patients. These findings underscore the importance of continuous symptom assessment and monitoring, particularly in patients with persistently high symptom severity. Tailored intervention strategies should be developed to address the specific needs of different patient subgroups, thereby alleviating symptom burden and enhancing the effectiveness of nursing care. Symptom management efforts may be prioritized based on the severity and trajectory of symptom clusters.

Indexed as

Kidney Failure, ChronicRenal DialysisAdultAgedFemaleGastrointestinal DiseasesHumansLongitudinal StudiesMaleMiddle AgedSexual Dysfunction, PhysiologicalSleep Wake DisordersSymptom AssessmentSymptom BurdenUremiaWater-Electrolyte ImbalanceHemodialysisLongitudinal studySymptom clusterTrajectory

Identifiers

PMID41774396

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.