Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783288988315942912 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5745856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenjinbor impactofriskfactorsonfunctionalstatusinmaintenancehemodialysispatients AT leewenchin impactofriskfactorsonfunctionalstatusinmaintenancehemodialysispatients AT chengbenchung impactofriskfactorsonfunctionalstatusinmaintenancehemodialysispatients AT moisinhua impactofriskfactorsonfunctionalstatusinmaintenancehemodialysispatients AT yangchenghong impactofriskfactorsonfunctionalstatusinmaintenancehemodialysispatients AT linyuda impactofriskfactorsonfunctionalstatusinmaintenancehemodialysispatients |