ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024
Symptom profiles in patients receiving maintenance hemodialysis and their association with quality of life: a longitudinal study.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The trial behind it
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- 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
- Digital health technologies for the management of sarcopenia in patients receiving maintenance hemodialysis: a narrative review.Frontiers in nutrition · 2026Review
- Core symptoms in patients with colorectal cancer receiving chemotherapy: a network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Trajectories of Canadian Workers' Well-Being During the Onset of the COVID-19 Pandemic.Applied research in quality of life · 2025Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
purposeMany patients receiving maintenance hemodialysis experience one or multiple symptoms. Using a latent profile analysis to identify symptom profiles may provide insights for person-centered symptom management strategies.
methodsThis is a longitudinal study based on data from patients receiving maintenance hemodialysis at three hospitals in Shanghai, China. Of the 448 patients who completed the surveys at baseline (T1), 309 completed the 12-month follow-up survey (T2). Symptoms and quality of life were measured by the Chinese version of Kidney Disease Quality of Life 36 Short Form. The optimal classification of symptoms was identified using latent profile analysis.
resultsFive symptom profiles were identified: High (9.2%), Fatigue and Gastrointestinal (7.1%), Fatigue and Skin (10.7%), Skin (23.2%), and Low (49.8%). The high-symptom profile and the-fatigue-and-skin-symptom profile were associated with a lower level of physical functioning, a higher burden of kidney disease, and more negative effects of kidney disease than the low symptom profile at T1 and T2. Multivariate regression analysis showed that the high-symptom profile predicted a poorer physical functioning at T2, and the-fatigue-and-skin-symptom profile predicted a poorer physical functioning and higher burden of kidney disease at T2.
conclusionPatients receiving maintenance hemodialysis reported unique symptom experiences which could be classified into different profiles. Patients reporting an overall high level of symptoms or a high level of fatigue and skin symptoms were more likely to have a poorer quality of life.
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