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ABSTRACT: Context
Although symptom clusters have been studied in the context of cancer, few data exist in chronic and end-stage kidney disease (CKD/ESKD) patients.Objectives
The objectives of this study were to 1) characterize and compare symptom cluster phenotypes in patients with advanced CKD, ESKD, and cancer and 2) explore predictors of symptom clusters.Methods
We conducted secondary data analysis of three prospective studies in which pain, depression, and fatigue were assessed in patients with Stage 4-5 CKD, ESKD, and gastrointestinal cancer. Tetrachoric correlations between these symptoms were quantified, and partitioning around medoids algorithm was used for symptom cluster analysis.Results
In the 82 CKD, 149 ESKD, and 606 cancer patients, no differences in the
SUBMITTER: Jhamb M
PROVIDER: S-EPMC6382584 | biostudies-literature | 2019 Mar
REPOSITORIES: biostudies-literature