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Original

Fatigue in hemodialysis patients:  A single-center cross-sectional study 

Laura Gobbi, Enrico Baruzzo, Luca Iodice, Giuseppe Comunian, Franco Martinello, Maximiliano Marigo, Giovanni Carretta, Barbara Rossi, and Lorenzo A. Calò

Volume 96 (2021) p. 281 - 288

Abstract

Clinical Nephrology, Vol. 96 – No. 5/2021 (281-288)

Fatigue in hemodialysis patients:  A single-center cross-sectional study 

Laura Gobbi¹, Enrico Baruzzo¹, Luca Iodice¹, Giuseppe Comunian¹, Franco Martinello¹, Maximiliano Marigo¹, Giovanni Carretta², Barbara Rossi¹, and Lorenzo A. Calò¹

¹Nephrology, Dialysis and Transplantation Unit, Department of Medicine, University of Padova, and ²Department of Directional Hospital Management, Medical Directorate, Padova University Hospital, Padova, Italy
Background: Fatigue is a highly prevalent condition among people affected by chronic disease, with consequent poor health-related quality of life and lower survival rates. Fatigue is one of the most common and debilitating symptoms also experienced by hemodialysis (HD) patients after HD sessions, and given the non-specific manifestations and its invisible nature, it is under-recognized and under-treated by healthcare professionals. The complexity of fatigue’s pathogenesis and the lack of measurement tools make the development of nursing interventions and practices specifically targeted at its recognition and therapy difficult. We aimed to investigate the prevalence and severity of fatigue, identify predictor variables in HD patients, and promote healthcare professionals’ awareness and recognition of fatigue.
Materials and methods: A single-center, cross-sectional study was conducted among 140 patients treated at the HD unit between August 2019 and March 2020 at the Nephrology, Dialysis, and Transplantation Unit of Padova University Hospital. We assessed patient’s fatigue by Chalder’s Fatigue Questionnaire, pain by Numeric Rating Scale and activities of daily living by Barthel Index. Demographic and clinical characteristics were taken from medical records.
Results: The findings of this study indicate that age, dialysis vintage, inter-dialysis weight gain, and ultra-filtration rate are proportionally related to reported levels of fatigue. Hemoglobin, iron, ferritin, and number of sleep hours before HD session present a significant inverse correlation to fatigue.
Conclusion: The complexity of fatigue’s pathogenesis makes a better understanding of this phenomenon difficult, nevertheless, healthcare professionals should develop interventions and practices targeted at its identification and management.Correspondence to:
 Prof. Lorenzo A. Calò, MD, PhD
 Nephrology, Dialysis and Transplantation Unit
Department of Medicine, University of Padova
Via Giustiniani 2,  35128 Padova, Italy
Email: [email protected]

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