Prevalence of Fatigue in Hemodialysis Patients

April 17, 2014 updated by: National Taiwan University Hospital

Prevalence of Fatigue and Its Related Factors in Hemodialysis Patients

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.

Study Overview

Status

Completed

Study Type

Observational

Enrollment (Actual)

88

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Taipei, Taiwan
        • National Taiwan University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

ESRD patients receiving regular hemodialysis thrice or twice per week

Description

Inclusion Criteria:

  • 1.Hemodialysis Patients 2.Aged above 20 3.Consciousness: oriented

Exclusion Criteria:

  • 1. Unable to complete muscle strength test or questionnaire

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Hemodialysis patients

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Relationships Among Fatigue, Muscle Power and Metabolomics
Time Frame: 1-year study
1-year study

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Shiow-Ching Shun Shun, PHD, National Taiwan University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

June 1, 2013

Primary Completion (Actual)

July 1, 2013

Study Completion (Actual)

July 1, 2013

Study Registration Dates

First Submitted

May 1, 2013

First Submitted That Met QC Criteria

May 2, 2013

First Posted (Estimate)

May 3, 2013

Study Record Updates

Last Update Posted (Estimate)

April 21, 2014

Last Update Submitted That Met QC Criteria

April 17, 2014

Last Verified

April 1, 2014

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 201302037RINC

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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