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Dissertation Chapters 1-5_Final_corrected_07-12-19 (1).pdf (1.74 MB)
ETD Abstract Container
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Gene Expression Profiling of Fatigue in Individuals with End Stage Renal Disease
Author Info
Horvat Davey, Christine Marie
ORCID® Identifier
http://orcid.org/0000-0002-3686-4391
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=case1564493520748895
Abstract Details
Year and Degree
2019, Doctor of Philosophy, Case Western Reserve University, Nursing.
Abstract
Fatigue is a prevalent and challenging symptom experienced by individuals with end stage renal disease (ESRD) on hemodialysis. Fatigue is associated with decreased quality of life, increased risk for cardiovascular events, and increased mortality rates in individuals with ESRD, though causes of fatigue in individuals with ESRD remains poorly understood. We examined the gene expression of NPAS2 in relation to the self-report experience of fatigue in one-hundred and twenty-two individuals with ESRD. Gene expression was examined utilizing quantitative Polymerase Chain Reaction (qPCR). Patient self-reported fatigue was examined utilizing the Fatigue Assessment Scale (FAS) and Functional Assessment of Chronic Illness Therapy – Fatigue Scale (FACIT-F). Independent samples t-tests were used to determine the extent to which gene expression of NPAS2 attributes to the phenotypic characteristic of fatigue. Multivariable regression analyses were used to determine the relationship between the phenotype of fatigue and demographic variables (age, sex, race, education level, marital status, and employment), dialysis factors (cause of and years with ESRD, time of hemodialysis session, and hours of dialysis per session), comorbid health conditions, sleep quality, Body Mass Index (BMI), and depression. One hundred twenty-two individuals completed the study. Participants were approximately 58 years old (+/- 13.2), 78% African American (n=95), and 72% male (n=88). No association was found between gene expression of NPAS2 and fatigue in this patient population. Of the variables examined, depression was the only significant predictor of fatigue.
Committee
Allison Webel, PhD (Committee Chair)
Joachim Voss, PhD (Committee Member)
Chao-Pin Hsiao, PhD (Committee Member)
Federico Perez, PhD (Committee Member)
Subject Headings
Genetics
;
Nursing
Keywords
end stage renal disease, fatigue, gene expression, depression
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Citations
Horvat Davey, C. M. (2019).
Gene Expression Profiling of Fatigue in Individuals with End Stage Renal Disease
[Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1564493520748895
APA Style (7th edition)
Horvat Davey, Christine.
Gene Expression Profiling of Fatigue in Individuals with End Stage Renal Disease .
2019. Case Western Reserve University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=case1564493520748895.
MLA Style (8th edition)
Horvat Davey, Christine. "Gene Expression Profiling of Fatigue in Individuals with End Stage Renal Disease ." Doctoral dissertation, Case Western Reserve University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1564493520748895
Chicago Manual of Style (17th edition)
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Document number:
case1564493520748895
Download Count:
282
Copyright Info
© 2019, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.