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Journal of Pain and Symptom Management 2019-Dec

Fatigue in peritoneal dialysis patients and an exploration of contributing factors: a cross-sectional study.

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Chong Tian
Beibei Zhang
Wangqun Liang
Qing Yang
Qianqian Xiong
Qiman Jin
Siyun Xiang
Jing Zhao
Chenjiang Ying
Xuezhi Zuo

Sleutelwoorden

Abstract

Fatigue is a common and detrimental symptom in dialysis patients; however, our understanding of it and investigation of its contributing factors is still very limited, especially in peritoneal dialysis patients.To assess fatigue in peritoneal dialysis patients and identify contributing factors.One hundred and eight peritoneal dialysis patients in a comprehensive hospital in China were recruited. The fatigue severity of the participants was assessed using the Chalder fatigue scale 11. Demographic factors and results of physiological tests were collected. Quality of sleep, mental health, and social support were assessed with the Pittsburgh Sleep Quality Index, Symptom checklist 90, and Social Support Rating Scale, respectively. Multiple linear regression models were conducted with candidate variables with a p-value of less than 0.1 on univariate analysis and variables that were clinically relevant to identify contributing factors for fatigue.The fatigue level in peritoneal dialysis patients was significantly higher than the community population, and 78.7% of them were suffering from fatigue. The factors that were significantly associated with fatigue were quality of sleep, normalized protein nitrogen appearance (nPNA), Transferrin, alkaline phosphatase and total cholesterol (Adjusted R squared value 0.86). Among them, quality of sleep, Transferrin, alkaline phosphatase, and total cholesterol were significant contributors for physical fatigue, while the quality of sleep and nPNA were contributing factors for mental fatigue.Fatigue is a common symptom in peritoneal dialysis patients, suggesting that increased awareness of this symptom is required. The identification of correlates by extensive exploration of multidimensional factors in this study may help practitioners to identify patients at higher risk and to develop a multidimensional and targeted intervention plan.

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