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Impact of risk factors on functional status in maintenance hemodialysis patients

OBJECTIVES: To survey by measuring patient’s functional status which is crucial when end-stage renal disease patients begin a dialysis program. The influence of the disease on patients can be examined by the measurement of Karnofsky Performance Status (KPS) scores, together with a quality of life su...

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Autores principales: Chen, Jin-Bor, Lee, Wen-Chin, Cheng, Ben-Chung, Moi, Sin-Hua, Yang, Cheng-Hong, Lin, Yu-Da
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745856/
https://www.ncbi.nlm.nih.gov/pubmed/29282123
http://dx.doi.org/10.1186/s40001-017-0298-1
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author Chen, Jin-Bor
Lee, Wen-Chin
Cheng, Ben-Chung
Moi, Sin-Hua
Yang, Cheng-Hong
Lin, Yu-Da
author_facet Chen, Jin-Bor
Lee, Wen-Chin
Cheng, Ben-Chung
Moi, Sin-Hua
Yang, Cheng-Hong
Lin, Yu-Da
author_sort Chen, Jin-Bor
collection PubMed
description OBJECTIVES: To survey by measuring patient’s functional status which is crucial when end-stage renal disease patients begin a dialysis program. The influence of the disease on patients can be examined by the measurement of Karnofsky Performance Status (KPS) scores, together with a quality of life survey, and clinical variables. METHODS: The details for the dataset in the study were collected from patients receiving regular hemodialysis (HD) in one hospital, which were available retrospectively for 1166 patients during the 5-year study period. KPS scores were applied for quantifying functional status. To identify risk factors for functional status, clinical factors including demographics, laboratory data, and HD vintage were selected. This study applied a classification and regression tree approach (CART) and logistic regression to determine risk factors on functional impairment among HD patients. RESULTS: Ten risk factors were identified by CART and regression model (age, primary kidney disease subclass, treatment years, hemoglobin, albumin, creatinine, phosphorus, intact parathyroid hormone, ferritin, and cardiothoracic ratio). The results of logistic regression with selected interaction models showed older age or higher hematocrit, blood urea nitrogen, and glucose levels could significantly increase the log-odds of obtaining low KPS scores at in-person visits. CONCLUSIONS: In interaction results, the combination of older age with higher albumin level and higher creatinine level with longer HD treatment years could significantly decrease the log-odds of a low KPS score assessment during in-person visits. Age, hemoglobin, albumin, urea, creatinine levels, primary kidney disease subclass, and HD duration are the major determinants for functional status in HD patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40001-017-0298-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-57458562018-01-03 Impact of risk factors on functional status in maintenance hemodialysis patients Chen, Jin-Bor Lee, Wen-Chin Cheng, Ben-Chung Moi, Sin-Hua Yang, Cheng-Hong Lin, Yu-Da Eur J Med Res Research OBJECTIVES: To survey by measuring patient’s functional status which is crucial when end-stage renal disease patients begin a dialysis program. The influence of the disease on patients can be examined by the measurement of Karnofsky Performance Status (KPS) scores, together with a quality of life survey, and clinical variables. METHODS: The details for the dataset in the study were collected from patients receiving regular hemodialysis (HD) in one hospital, which were available retrospectively for 1166 patients during the 5-year study period. KPS scores were applied for quantifying functional status. To identify risk factors for functional status, clinical factors including demographics, laboratory data, and HD vintage were selected. This study applied a classification and regression tree approach (CART) and logistic regression to determine risk factors on functional impairment among HD patients. RESULTS: Ten risk factors were identified by CART and regression model (age, primary kidney disease subclass, treatment years, hemoglobin, albumin, creatinine, phosphorus, intact parathyroid hormone, ferritin, and cardiothoracic ratio). The results of logistic regression with selected interaction models showed older age or higher hematocrit, blood urea nitrogen, and glucose levels could significantly increase the log-odds of obtaining low KPS scores at in-person visits. CONCLUSIONS: In interaction results, the combination of older age with higher albumin level and higher creatinine level with longer HD treatment years could significantly decrease the log-odds of a low KPS score assessment during in-person visits. Age, hemoglobin, albumin, urea, creatinine levels, primary kidney disease subclass, and HD duration are the major determinants for functional status in HD patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40001-017-0298-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-28 /pmc/articles/PMC5745856/ /pubmed/29282123 http://dx.doi.org/10.1186/s40001-017-0298-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Chen, Jin-Bor
Lee, Wen-Chin
Cheng, Ben-Chung
Moi, Sin-Hua
Yang, Cheng-Hong
Lin, Yu-Da
Impact of risk factors on functional status in maintenance hemodialysis patients
title Impact of risk factors on functional status in maintenance hemodialysis patients
title_full Impact of risk factors on functional status in maintenance hemodialysis patients
title_fullStr Impact of risk factors on functional status in maintenance hemodialysis patients
title_full_unstemmed Impact of risk factors on functional status in maintenance hemodialysis patients
title_short Impact of risk factors on functional status in maintenance hemodialysis patients
title_sort impact of risk factors on functional status in maintenance hemodialysis patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745856/
https://www.ncbi.nlm.nih.gov/pubmed/29282123
http://dx.doi.org/10.1186/s40001-017-0298-1
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