2019
DOI: 10.1097/nnr.0000000000000408
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Physical Symptom Cluster Subgroups in Chronic Kidney Disease

Abstract: Background: Symptom burden associated with chronic kidney disease can be debilitating, with a negative effect on patient health-related quality of life. Latent class clustering analysis is an innovative tool for classifying patient symptom experience. Objectives: The aim of the study was to identify subgroups of patients at greatest risk for high symptom burden, which may facilitate development of patient-centered symptom management interventions. Methods: In this cross-sectional analysis, baseline data were a… Show more

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Cited by 12 publications
(17 citation statements)
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“…Stage 5D, dialysis; stage 5T, transplant. those suffering from most chronic diseases, including CKD, occur in clusters 1,19,34,35 .…”
Section: The Theory Of Unpleasant Symptomsmentioning
confidence: 99%
See 3 more Smart Citations
“…Stage 5D, dialysis; stage 5T, transplant. those suffering from most chronic diseases, including CKD, occur in clusters 1,19,34,35 .…”
Section: The Theory Of Unpleasant Symptomsmentioning
confidence: 99%
“…A greater understanding of the potential biological mechanisms underlying common symptoms reported by individuals with CKD is essential for identifying targeted interventions that lessen symptom burden and improve quality of life. As symptoms often occur in clusters, they may also share a common biological aetiology 1,19,30,34 . For example, a psychoneurological symptom cluster (for example, involving pain, fatigue, anxiety, depression, pain, sleep disturbance and cognitive dysfunction) has been consistently observed among patients with cancer -a population that has a similar level of symptom experience to that of patients with advanced CKD [57][58][59][60] .…”
Section: Pathophysiology Of Ckd Symptomsmentioning
confidence: 99%
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“…However, symptom cluster science across the spectrum of CKD is in its infancy and more research is needed to untangle the complex relationships between symptoms and patient outcomes. Identification of symptom clusters among patients with ESKD undergoing dialysis may help inform symptom assessment, risk-stratification, and development of patient-centered interventions to reduce symptom burden, thereby reducing the negative impact on patient HRQoL [ 10 ▪ ].…”
Section: Introductionmentioning
confidence: 99%