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Progression of chronic kidney disease: an illness-death model approach
BACKGROUND: Chronic kidney disease (CKD) is a major contributor to mortality in the general population. Understanding the factors that drive this process will help delay progression of CKD. The study aimed to estimate the risks of kidney failure and death prior to and after the development of kidney...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493086/ https://www.ncbi.nlm.nih.gov/pubmed/28666418 http://dx.doi.org/10.1186/s12882-017-0604-8 |
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author | Vejakama, Phisitt Ingsathit, Atiporn McEvoy, Mark Attia, John Thakkinstian, Ammarin |
author_facet | Vejakama, Phisitt Ingsathit, Atiporn McEvoy, Mark Attia, John Thakkinstian, Ammarin |
author_sort | Vejakama, Phisitt |
collection | PubMed |
description | BACKGROUND: Chronic kidney disease (CKD) is a major contributor to mortality in the general population. Understanding the factors that drive this process will help delay progression of CKD. The study aimed to estimate the risks of kidney failure and death prior to and after the development of kidney failure among patients with pre-existing CKD, and to identify potential prognostic factors. METHOD: Data were obtained from patients with CKD from Ubon Ratchathani province, Thailand from 1997 to 2011. The probability of each transition (i.e., CKD➔death (T1), CKD➔kidney failure (T2), and kidney failure➔death (T3)) was estimated using a competing risk model. A parametric survival model with restricted cubic spline function was applied to assess prognostic factors. Illness-death models were constructed for the 3 transitions. Among 32,106 patients with CKD, 5576 (17.4%), 4768 (14.9%), and 3056 (9.5%) respectively moved through T1, T2, and T3. RESULTS: Diabetics had 22.6%, 13.5%, and 60.7% higher risks of T1, T2, and T3 than non-diabetics respectively (p < 0.001). Hypertension increased risks of T2 and T3 by 8.7% (p = 0.01) and 27.2% (p < 0.001), whereas cardiovascular disease increased risk of T1 and T3 by 76% and 42.7%, respectively (p = 0.01). Increasing HDL by 10 units respectively decreased risk of T1 and T2 by 0.5% (p = 0.002) and 1.4% (p < 0.001). In addition, renin-angiotensin blockade decreased risk of T2 by 35% (p < 0.001). CONCLUSIONS: Diabetes and cardiovascular disease are associated with increasing mortality among CKD patients both before and after the development of kidney failure while hypertension is associated with increasing mortality mainly following kidney failure. Diabetes and hypertension are associated with an elevated risk of kidney failure while elevated HDL levels and renin-angiotensin blockade appear protective. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-017-0604-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5493086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54930862017-06-30 Progression of chronic kidney disease: an illness-death model approach Vejakama, Phisitt Ingsathit, Atiporn McEvoy, Mark Attia, John Thakkinstian, Ammarin BMC Nephrol Research Article BACKGROUND: Chronic kidney disease (CKD) is a major contributor to mortality in the general population. Understanding the factors that drive this process will help delay progression of CKD. The study aimed to estimate the risks of kidney failure and death prior to and after the development of kidney failure among patients with pre-existing CKD, and to identify potential prognostic factors. METHOD: Data were obtained from patients with CKD from Ubon Ratchathani province, Thailand from 1997 to 2011. The probability of each transition (i.e., CKD➔death (T1), CKD➔kidney failure (T2), and kidney failure➔death (T3)) was estimated using a competing risk model. A parametric survival model with restricted cubic spline function was applied to assess prognostic factors. Illness-death models were constructed for the 3 transitions. Among 32,106 patients with CKD, 5576 (17.4%), 4768 (14.9%), and 3056 (9.5%) respectively moved through T1, T2, and T3. RESULTS: Diabetics had 22.6%, 13.5%, and 60.7% higher risks of T1, T2, and T3 than non-diabetics respectively (p < 0.001). Hypertension increased risks of T2 and T3 by 8.7% (p = 0.01) and 27.2% (p < 0.001), whereas cardiovascular disease increased risk of T1 and T3 by 76% and 42.7%, respectively (p = 0.01). Increasing HDL by 10 units respectively decreased risk of T1 and T2 by 0.5% (p = 0.002) and 1.4% (p < 0.001). In addition, renin-angiotensin blockade decreased risk of T2 by 35% (p < 0.001). CONCLUSIONS: Diabetes and cardiovascular disease are associated with increasing mortality among CKD patients both before and after the development of kidney failure while hypertension is associated with increasing mortality mainly following kidney failure. Diabetes and hypertension are associated with an elevated risk of kidney failure while elevated HDL levels and renin-angiotensin blockade appear protective. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-017-0604-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-30 /pmc/articles/PMC5493086/ /pubmed/28666418 http://dx.doi.org/10.1186/s12882-017-0604-8 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 Article Vejakama, Phisitt Ingsathit, Atiporn McEvoy, Mark Attia, John Thakkinstian, Ammarin Progression of chronic kidney disease: an illness-death model approach |
title | Progression of chronic kidney disease: an illness-death model approach |
title_full | Progression of chronic kidney disease: an illness-death model approach |
title_fullStr | Progression of chronic kidney disease: an illness-death model approach |
title_full_unstemmed | Progression of chronic kidney disease: an illness-death model approach |
title_short | Progression of chronic kidney disease: an illness-death model approach |
title_sort | progression of chronic kidney disease: an illness-death model approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493086/ https://www.ncbi.nlm.nih.gov/pubmed/28666418 http://dx.doi.org/10.1186/s12882-017-0604-8 |
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