Prevalence of Fatigue in Hemodialysis Patients
Prevalence of Fatigue and Its Related Factors in Hemodialysis Patients
1 other identifier
observational
88
1 country
1
Brief Summary
The prevalence of end stage renal disease in Taiwan was listed first all over the world. Fatigue, which makes patients unable to be competitive to play their functional roles, is one of the most bothersome symptoms of patients receiving long-term hemodialysis. Tracing back to the development of its relating studies, there is no accurate reason that why does people undergoing hemodialysis feel fatigued. Conclusive predictors of fatigue are still not shown up yet. Paper review indicated that the level of L-Carnitine concentration, which affect metabolism of fatty acid, had correlation with fatigue and muscle strength in this population. The serum concentration of L-Carnitine is influenced a lot by hemodialysis. When there is deficiency of energy supply, it resulted to decline of muscle strength, which increased frequency and intensity of fatigue. Hence, the purposes of this study are (1) to understand the basic condition of fatigue level, muscle and metabolism of fat and carbohydrate among hemodialysis patients, (2) to analyze correlation among muscle strength, metabolism of fat/carbohydrate, and fatigue, and (3) to understand correlations among demographic characteristics, blood test data (hemoglobin, albumin, Kt/V, urea reduction ratio(URR), blood urea nitrogen(BUN), creatinine, calcium, phosphorus, and C-reactive protein), mental and social conditions (depression, anxiety, and social support), muscle strength and fatigue, seeking further exploring predictors of muscle strength and fatigue. The study use cross-sectional descriptive correlative design with consecutive sampling. Recruit patients from a hemodialysis unit in a medical center in north Taiwan after informed- consent. The estimated sample size is 100. To understand relationship among muscle strength, by-products of fatty acid and carbohydrate and fatigue, we collect data by measuring their muscle strength (handgrip and 30 seconds sit-to-stand), and analyzing blood test data and the structured questionnaires which included mental/social data (depression, anxiety, social support and fatigue level). Descriptive statistics, ANOVA, Pearson's correlation, Spearsman's rank correlation and stepwise regression were used to analyze the collected data. Hope this research can get advance in comprehension of cause of fatigue and improve the fatigue symptom of hemodialysis patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jun 2013
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 1, 2013
CompletedFirst Posted
Study publicly available on registry
May 3, 2013
CompletedStudy Start
First participant enrolled
June 1, 2013
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2013
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2013
CompletedApril 21, 2014
April 1, 2014
1 month
May 1, 2013
April 17, 2014
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Relationships Among Fatigue, Muscle Power and Metabolomics
1-year study
Study Arms (1)
Hemodialysis patients
Eligibility Criteria
ESRD patients receiving regular hemodialysis thrice or twice per week
You may qualify if:
- Hemodialysis Patients 2.Aged above 20 3.Consciousness: oriented
You may not qualify if:
- \. Unable to complete muscle strength test or questionnaire
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National Taiwan University Hospital
Taipei, Taiwan
Biospecimen
human blood: 5c.c.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Shiow-Ching Shun Shun, PHD
National Taiwan University
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 1, 2013
First Posted
May 3, 2013
Study Start
June 1, 2013
Primary Completion
July 1, 2013
Study Completion
July 1, 2013
Last Updated
April 21, 2014
Record last verified: 2014-04