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Effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis

PURPOSE: This study aimed to investigate the association between clinical factors and temporary changes in functional performance in patients undergoing hemodialysis. METHODS: This was a retrospective, longitudinal observational study conducted from 2015 to 2017. Eight-two patients undergoing hemodi...

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Autores principales: Chen, Jin-Bor, Li, Lung-Chih, Lee, Wen-Chin, Moi, Sin- Hua, Yang, Cheng-Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758042/
https://www.ncbi.nlm.nih.gov/pubmed/33349082
http://dx.doi.org/10.1080/0886022X.2020.1852090
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author Chen, Jin-Bor
Li, Lung-Chih
Lee, Wen-Chin
Moi, Sin- Hua
Yang, Cheng-Hong
author_facet Chen, Jin-Bor
Li, Lung-Chih
Lee, Wen-Chin
Moi, Sin- Hua
Yang, Cheng-Hong
author_sort Chen, Jin-Bor
collection PubMed
description PURPOSE: This study aimed to investigate the association between clinical factors and temporary changes in functional performance in patients undergoing hemodialysis. METHODS: This was a retrospective, longitudinal observational study conducted from 2015 to 2017. Eight-two patients undergoing hemodialysis in the outpatient clinic were enrolled. Functional performance was measured using the Karnofsky Performance Status (KPS) scale. Collected data for analysis included demographics, laboratory parameters, and KPS scale scores. All participants were grouped into a high KPS cluster and a low KPS cluster based on dynamic changes in KPS scales from 2015 to 2017. RESULTS: Participants in the high KPS cluster demonstrated an approximate trend, and those in the low KPS cluster demonstrated a low pattern. By stepwise selection model analysis, age (OR 1.12, 95% CI 1.03–1.23, p = 0.011), serum BUN (OR 1.08, 95% CI 1.02–1.16, p = 0.015), calcium levels (OR 3.24, 95% CI 1.2–8.73, p = 0.02), and beta-2-microglobulin (OR > 1.0, CI >1.00-<1.01, p = 0.031) showed risk for the low KPS cluster. Male sex (OR 0.20, 95% CI 0.04–0.96, p = 0.045) and albumin level (OR 0.02, 95% CI 0–0.4, p = 0.009) showed a low risk for the low KPS cluster. CONCLUSIONS: A different trajectory pattern was observed between the high and low KPS clusters in a 3-year period. Risk factors for the low KPS cluster were age, serum BUN, calcium, and beta-2-microglobulin levels. Male sex and serum albumin levels reduced the risk for the low KPS cluster.
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spelling pubmed-77580422021-01-08 Effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis Chen, Jin-Bor Li, Lung-Chih Lee, Wen-Chin Moi, Sin- Hua Yang, Cheng-Hong Ren Fail Clinical Study PURPOSE: This study aimed to investigate the association between clinical factors and temporary changes in functional performance in patients undergoing hemodialysis. METHODS: This was a retrospective, longitudinal observational study conducted from 2015 to 2017. Eight-two patients undergoing hemodialysis in the outpatient clinic were enrolled. Functional performance was measured using the Karnofsky Performance Status (KPS) scale. Collected data for analysis included demographics, laboratory parameters, and KPS scale scores. All participants were grouped into a high KPS cluster and a low KPS cluster based on dynamic changes in KPS scales from 2015 to 2017. RESULTS: Participants in the high KPS cluster demonstrated an approximate trend, and those in the low KPS cluster demonstrated a low pattern. By stepwise selection model analysis, age (OR 1.12, 95% CI 1.03–1.23, p = 0.011), serum BUN (OR 1.08, 95% CI 1.02–1.16, p = 0.015), calcium levels (OR 3.24, 95% CI 1.2–8.73, p = 0.02), and beta-2-microglobulin (OR > 1.0, CI >1.00-<1.01, p = 0.031) showed risk for the low KPS cluster. Male sex (OR 0.20, 95% CI 0.04–0.96, p = 0.045) and albumin level (OR 0.02, 95% CI 0–0.4, p = 0.009) showed a low risk for the low KPS cluster. CONCLUSIONS: A different trajectory pattern was observed between the high and low KPS clusters in a 3-year period. Risk factors for the low KPS cluster were age, serum BUN, calcium, and beta-2-microglobulin levels. Male sex and serum albumin levels reduced the risk for the low KPS cluster. Taylor & Francis 2020-12-22 /pmc/articles/PMC7758042/ /pubmed/33349082 http://dx.doi.org/10.1080/0886022X.2020.1852090 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Study
Chen, Jin-Bor
Li, Lung-Chih
Lee, Wen-Chin
Moi, Sin- Hua
Yang, Cheng-Hong
Effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis
title Effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis
title_full Effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis
title_fullStr Effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis
title_full_unstemmed Effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis
title_short Effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis
title_sort effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758042/
https://www.ncbi.nlm.nih.gov/pubmed/33349082
http://dx.doi.org/10.1080/0886022X.2020.1852090
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