Cargando…

Analysis of factors predicting mortality of new patients commencing renal replacement therapy 10 years of follow-up

BACKGROUND: The natural history of patients commencing dialysis in East Yorkshire is not well characterised and there is little convincing evidence which has studied the impact of potential factors prior to commencement of renal replacement therapy (RRT) at predicting mortality during dialysis. The...

Descripción completa

Detalles Bibliográficos
Autores principales: Browne, Oliver T, Allgar, Victoria, Bhandari, Sunil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3902419/
https://www.ncbi.nlm.nih.gov/pubmed/24444187
http://dx.doi.org/10.1186/1471-2369-15-20
_version_ 1782300980445970432
author Browne, Oliver T
Allgar, Victoria
Bhandari, Sunil
author_facet Browne, Oliver T
Allgar, Victoria
Bhandari, Sunil
author_sort Browne, Oliver T
collection PubMed
description BACKGROUND: The natural history of patients commencing dialysis in East Yorkshire is not well characterised and there is little convincing evidence which has studied the impact of potential factors prior to commencement of renal replacement therapy (RRT) at predicting mortality during dialysis. The aim of this study was to examine the previously published 5-year data on end stage renal disease and co-morbid risk factors for mortality at 10 years. METHODS: An observational cohort study of subjects commencing dialysis in 2001/02 in East Yorkshire with a mean follow up from dialysis initiation of 8.8 years. Predictors of mortality were determined by univariate, multivariate analysis and survival via Kaplan-Meier analysis. Assessment of the utility of the Tangri risk calculator was carried out in addition to slope change in eGFR prior to dialysis commencement. RESULTS: Baseline characteristics and the preferred mode of dialysis remained concordant with the original trial. The mortality rate at the end of the study period was 60% (56/94) with 30% (29) of patients having been transplanted. Highlighted in the 5 year data a significant proportion of mortality was made up of vascular disease and sepsis (71%) but this proportion had decreased (57%) by 10 years. Cardiac disease was the commonest cause of death but notably in 18% of patients, death was related to dialysis or withdrawal of treatment. Vascular disease and diabetes remained independent risk factors and predicative of mortality. Calcium - phosphate product which was associated in the early years with mortality was not in later years. Use of the risk calculator was predictive of commencement of RRT but not mortality but slope change in eGFR was predictive of mortality. CONCLUSIONS: Although diabetes and vascular disease remained predictive of mortality, interestingly calcium-phosphate levels are no longer significant and may be a more specific predictor of early cardiac mortality. Slope eGFR changes prior to RRT are a predictor of mortality. We speculate that aggressive management of cardiac risk factors in addition to early transplantation may be key to influencing the impact of survival in this cohort in addition to possible measures to delay renal progression.
format Online
Article
Text
id pubmed-3902419
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-39024192014-01-28 Analysis of factors predicting mortality of new patients commencing renal replacement therapy 10 years of follow-up Browne, Oliver T Allgar, Victoria Bhandari, Sunil BMC Nephrol Research Article BACKGROUND: The natural history of patients commencing dialysis in East Yorkshire is not well characterised and there is little convincing evidence which has studied the impact of potential factors prior to commencement of renal replacement therapy (RRT) at predicting mortality during dialysis. The aim of this study was to examine the previously published 5-year data on end stage renal disease and co-morbid risk factors for mortality at 10 years. METHODS: An observational cohort study of subjects commencing dialysis in 2001/02 in East Yorkshire with a mean follow up from dialysis initiation of 8.8 years. Predictors of mortality were determined by univariate, multivariate analysis and survival via Kaplan-Meier analysis. Assessment of the utility of the Tangri risk calculator was carried out in addition to slope change in eGFR prior to dialysis commencement. RESULTS: Baseline characteristics and the preferred mode of dialysis remained concordant with the original trial. The mortality rate at the end of the study period was 60% (56/94) with 30% (29) of patients having been transplanted. Highlighted in the 5 year data a significant proportion of mortality was made up of vascular disease and sepsis (71%) but this proportion had decreased (57%) by 10 years. Cardiac disease was the commonest cause of death but notably in 18% of patients, death was related to dialysis or withdrawal of treatment. Vascular disease and diabetes remained independent risk factors and predicative of mortality. Calcium - phosphate product which was associated in the early years with mortality was not in later years. Use of the risk calculator was predictive of commencement of RRT but not mortality but slope change in eGFR was predictive of mortality. CONCLUSIONS: Although diabetes and vascular disease remained predictive of mortality, interestingly calcium-phosphate levels are no longer significant and may be a more specific predictor of early cardiac mortality. Slope eGFR changes prior to RRT are a predictor of mortality. We speculate that aggressive management of cardiac risk factors in addition to early transplantation may be key to influencing the impact of survival in this cohort in addition to possible measures to delay renal progression. BioMed Central 2014-01-20 /pmc/articles/PMC3902419/ /pubmed/24444187 http://dx.doi.org/10.1186/1471-2369-15-20 Text en Copyright © 2014 Browne et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Browne, Oliver T
Allgar, Victoria
Bhandari, Sunil
Analysis of factors predicting mortality of new patients commencing renal replacement therapy 10 years of follow-up
title Analysis of factors predicting mortality of new patients commencing renal replacement therapy 10 years of follow-up
title_full Analysis of factors predicting mortality of new patients commencing renal replacement therapy 10 years of follow-up
title_fullStr Analysis of factors predicting mortality of new patients commencing renal replacement therapy 10 years of follow-up
title_full_unstemmed Analysis of factors predicting mortality of new patients commencing renal replacement therapy 10 years of follow-up
title_short Analysis of factors predicting mortality of new patients commencing renal replacement therapy 10 years of follow-up
title_sort analysis of factors predicting mortality of new patients commencing renal replacement therapy 10 years of follow-up
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3902419/
https://www.ncbi.nlm.nih.gov/pubmed/24444187
http://dx.doi.org/10.1186/1471-2369-15-20
work_keys_str_mv AT browneolivert analysisoffactorspredictingmortalityofnewpatientscommencingrenalreplacementtherapy10yearsoffollowup
AT allgarvictoria analysisoffactorspredictingmortalityofnewpatientscommencingrenalreplacementtherapy10yearsoffollowup
AT bhandarisunil analysisoffactorspredictingmortalityofnewpatientscommencingrenalreplacementtherapy10yearsoffollowup