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Predictors of quality of life in patients with end-stage renal disease on hemodialysis

BACKGROUND: Assessment of quality of life (QOL) of end-stage renal disease (ESRD) patients (physical, mental, and social well-being) has become an essential tool to develop better plans of care. Objective of this study is to determine which demographic and biochemical parameters correlate with the Q...

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Autores principales: Saad, Marc M, El Douaihy, Youssef, Boumitri, Christine, Rondla, Chetana, Moussaly, Elias, Daoud, Magda, El Sayegh, Suzanne E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562649/
https://www.ncbi.nlm.nih.gov/pubmed/26366104
http://dx.doi.org/10.2147/IJNRD.S84929
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author Saad, Marc M
El Douaihy, Youssef
Boumitri, Christine
Rondla, Chetana
Moussaly, Elias
Daoud, Magda
El Sayegh, Suzanne E
author_facet Saad, Marc M
El Douaihy, Youssef
Boumitri, Christine
Rondla, Chetana
Moussaly, Elias
Daoud, Magda
El Sayegh, Suzanne E
author_sort Saad, Marc M
collection PubMed
description BACKGROUND: Assessment of quality of life (QOL) of end-stage renal disease (ESRD) patients (physical, mental, and social well-being) has become an essential tool to develop better plans of care. Objective of this study is to determine which demographic and biochemical parameters correlate with the QOL scores in patients with ESRD on hemodialysis (HD) using Kidney Disease QOL-36 surveys (KDQOL). METHODS: A retrospective chart review of all ESRD patients who underwent HD at an outpatient center. The five components of the KDQOL were the primary end points of this study (burden of kidney disease, symptoms and problems, effects of kidney disease on daily life, mental component survey, and physical component survey). Scores were grouped into three categories (below average, average, and above average). In addition to demographics (age, sex, and race), the independent variables such as weight gain, number of years on dialysis, urea reduction ratio, calcium, phosphorus, parathyroid hormone, albumin, and hemoglobin in the serum were collected. Chi-square analysis for dependent variables and the nominal independent variables was used, and analysis of variance analysis was used for continuous independent variables. Ordinal regression using PLUM (polytomous universal model) method was used to weigh out possible effects of confounders. RESULTS: The cohort size was 111 patients. Mean age was 61.8 (±15.5) years; there were more males than females (64.9% vs 35.1%), the mean time-on-dialysis at the time of the study was 4.3 (4.8) years. Approximately two-thirds of the responses on all five domains of the questionnaire ranked average when compared to the national numbers. The remainders were split between above average (20.6%) and below average (13.4%). In our cohort, no relationships were statistically significant between the five dependent variables of interest and the independent variables by chi-square- and t-test analyses. This was further confirmed by regression analysis. Of note, sex carried the strongest statistical significance (with a P-value of 0.16) as a predictor of “the burden of kidney disease on daily life” in ordinal regression. CONCLUSION: Prior studies have shown variables such as serum phosphate level, intradialytic weight gain, and dialysis adequacy are associated with lower KDQOL scores; however, this was not evident in our analysis likely due to smaller sample size. Larger size studies are required to better understand the predictors of QOL in ESRD patients on HD.
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spelling pubmed-45626492015-09-11 Predictors of quality of life in patients with end-stage renal disease on hemodialysis Saad, Marc M El Douaihy, Youssef Boumitri, Christine Rondla, Chetana Moussaly, Elias Daoud, Magda El Sayegh, Suzanne E Int J Nephrol Renovasc Dis Original Research BACKGROUND: Assessment of quality of life (QOL) of end-stage renal disease (ESRD) patients (physical, mental, and social well-being) has become an essential tool to develop better plans of care. Objective of this study is to determine which demographic and biochemical parameters correlate with the QOL scores in patients with ESRD on hemodialysis (HD) using Kidney Disease QOL-36 surveys (KDQOL). METHODS: A retrospective chart review of all ESRD patients who underwent HD at an outpatient center. The five components of the KDQOL were the primary end points of this study (burden of kidney disease, symptoms and problems, effects of kidney disease on daily life, mental component survey, and physical component survey). Scores were grouped into three categories (below average, average, and above average). In addition to demographics (age, sex, and race), the independent variables such as weight gain, number of years on dialysis, urea reduction ratio, calcium, phosphorus, parathyroid hormone, albumin, and hemoglobin in the serum were collected. Chi-square analysis for dependent variables and the nominal independent variables was used, and analysis of variance analysis was used for continuous independent variables. Ordinal regression using PLUM (polytomous universal model) method was used to weigh out possible effects of confounders. RESULTS: The cohort size was 111 patients. Mean age was 61.8 (±15.5) years; there were more males than females (64.9% vs 35.1%), the mean time-on-dialysis at the time of the study was 4.3 (4.8) years. Approximately two-thirds of the responses on all five domains of the questionnaire ranked average when compared to the national numbers. The remainders were split between above average (20.6%) and below average (13.4%). In our cohort, no relationships were statistically significant between the five dependent variables of interest and the independent variables by chi-square- and t-test analyses. This was further confirmed by regression analysis. Of note, sex carried the strongest statistical significance (with a P-value of 0.16) as a predictor of “the burden of kidney disease on daily life” in ordinal regression. CONCLUSION: Prior studies have shown variables such as serum phosphate level, intradialytic weight gain, and dialysis adequacy are associated with lower KDQOL scores; however, this was not evident in our analysis likely due to smaller sample size. Larger size studies are required to better understand the predictors of QOL in ESRD patients on HD. Dove Medical Press 2015-09-03 /pmc/articles/PMC4562649/ /pubmed/26366104 http://dx.doi.org/10.2147/IJNRD.S84929 Text en © 2015 Saad et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Saad, Marc M
El Douaihy, Youssef
Boumitri, Christine
Rondla, Chetana
Moussaly, Elias
Daoud, Magda
El Sayegh, Suzanne E
Predictors of quality of life in patients with end-stage renal disease on hemodialysis
title Predictors of quality of life in patients with end-stage renal disease on hemodialysis
title_full Predictors of quality of life in patients with end-stage renal disease on hemodialysis
title_fullStr Predictors of quality of life in patients with end-stage renal disease on hemodialysis
title_full_unstemmed Predictors of quality of life in patients with end-stage renal disease on hemodialysis
title_short Predictors of quality of life in patients with end-stage renal disease on hemodialysis
title_sort predictors of quality of life in patients with end-stage renal disease on hemodialysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562649/
https://www.ncbi.nlm.nih.gov/pubmed/26366104
http://dx.doi.org/10.2147/IJNRD.S84929
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