Clinical Trial Details
— Status: Not yet recruiting
Administrative data
| NCT number |
NCT06123806 |
| Other study ID # |
dialysis associated fatigue |
| Secondary ID |
|
| Status |
Not yet recruiting |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
June 2024 |
| Est. completion date |
June 2025 |
Study information
| Verified date |
February 2024 |
| Source |
Assiut University |
| Contact |
Hossam Eldin |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
The aim of this study is to investigate the factors affecting hemodialysis-associated fatigue
and their impact on the physical and emotional well-being of patients. By identifying these
factors, Investigators can develop effective strategies to reduce fatigue and enhance the
overall quality of life for hemodialysis patients.
Description:
Chronic kidney disease (CKD) is a significant public health issue affecting millions of
individuals worldwide. Hemodialysis, the most common modality for renal replacement therapy,
is a life-sustaining procedure for end-stage renal disease (ESRD) patients. Despite its
benefits, hemodialysis can be associated with various complications, and one of the most
commonly reported symptoms is fatigue. Hemodialysis-associated fatigue (HAF) is characterized
by persistent tiredness, lack of energy, and reduced motivation, which significantly impacts
the quality of life and functional capacity of patients.
Several potential factors contribute to HAF, including patient-related variables,
dialysis-related factors, and comorbidities. Understanding the underlying mechanisms and
factors contributing to HAF is essential for improving the overall care and quality of life
of hemodialysis patients. Targeted interventions to address fatigue could lead to better
adherence to dialysis treatment, reduced hospitalizations, and enhanced overall well-being
for this vulnerable patient population. To date, limited research has been conducted on the
subject of HAF, and the available studies often have small sample sizes and diverse
methodologies. Therefore, this research aims to delve into the complexities of HAF, exploring
its prevalence, potential risk factors, and implications for patient outcomes.
