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Updated: May 26, 2025
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Measurement of Tissue Oxygenation Using Near-Infrared Spectroscopy in Patients Undergoing Hemodialysis
Published on: October 2, 2020
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Fatigue in Hemodialysis Patients: A Comparative Analysis with Healthy Controls
Leszek Sułkowski1, Andrzej Matyja2, Maciej Matyja2
1Department of General Surgery, Regional Specialist Hospital, 42-218 Czestochowa, Poland.
European Journal of Investigation in Health, Psychology and Education
|February 25, 2025
Summary
Hemodialysis patients report increased fatigue and lower quality of life. Factors like male gender, longer dialysis, and lower education impact these outcomes, necessitating tailored interventions for better patient well-being.
Area of Science:
- Nephrology
- Psychology
- Public Health
Background:
- Chronic kidney disease requiring hemodialysis significantly impacts patient well-being.
- Fatigue and reduced quality of life are prevalent issues in hemodialysis populations.
- Understanding influencing factors is crucial for effective patient management.
Purpose of the Study:
- To investigate fatigue and quality of life in hemodialysis patients.
- To examine the influence of demographic and clinical factors on these outcomes.
- To validate the Modified Fatigue Impact Scale-5 (MFIS-5) for clinical use.
Main Methods:
- A cohort study involving 115 hemodialysis patients and 112 healthy controls.
- Utilized the Modified Fatigue Impact Scale (MFIS), MFIS-5, and WHOQOL-BREF for assessments.
- Statistical analysis to identify correlations between patient characteristics and outcomes.
Main Results:
- Hemodialysis patients exhibited significantly higher fatigue and lower quality of life (physical, psychological) than controls.
- Male gender, longer dialysis sessions (>4 hours), and lower education were associated with poorer outcomes.
- MFIS and MFIS-5 scores demonstrated high consistency, validating MFIS-5's accuracy.
Conclusions:
- Individualized, multi-dimensional interventions are essential for managing fatigue in hemodialysis patients.
- Addressing physical, psychological, and social well-being can enhance patient quality of life.
- Demographic and clinical factors identified can guide tailored support strategies.
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