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Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients

BACKGROUND: Although Brazil has one of the largest populations on haemodialysis (HD) in the world, data regarding patients’ characteristics and the variables associated with risk of death are scanty. METHODS: This is a retrospective analysis of all adult patients who initiated on maintenance HD at 2...

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Autores principales: Barra, Ana Beatriz Lesqueves, Roque-da-Silva, Ana Paula, Canziani, Maria Eugenia F., Lugon, Jocemir R., Strogoff-de-Matos, Jorge Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864821/
https://www.ncbi.nlm.nih.gov/pubmed/35196997
http://dx.doi.org/10.1186/s12882-022-02705-x
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author Barra, Ana Beatriz Lesqueves
Roque-da-Silva, Ana Paula
Canziani, Maria Eugenia F.
Lugon, Jocemir R.
Strogoff-de-Matos, Jorge Paulo
author_facet Barra, Ana Beatriz Lesqueves
Roque-da-Silva, Ana Paula
Canziani, Maria Eugenia F.
Lugon, Jocemir R.
Strogoff-de-Matos, Jorge Paulo
author_sort Barra, Ana Beatriz Lesqueves
collection PubMed
description BACKGROUND: Although Brazil has one of the largest populations on haemodialysis (HD) in the world, data regarding patients’ characteristics and the variables associated with risk of death are scanty. METHODS: This is a retrospective analysis of all adult patients who initiated on maintenance HD at 23 dialysis centres in Brazil between 2012 and 2017. Patients were censored after 60 months of follow-up or at the end of 2019. RESULTS: A total of 5,081 patients were included in the analysis. The median age was 59 years, 59.4% were men, 37.5% had diabetes as the cause of kidney failure. Almost 70% had a central venous catheter (CVC) as the initial vascular access, about 60% started dialysis in the hospital, and fluid overload (FO) by bioimpedance assessment was seen in 45% of patients. The 60-month survival rate was 51.4%. In the Cox regression analysis, being older (P<0.0001), starting dialysis in the hospital (P=0.016), having diabetes as the cause of kidney failure (P=0.001), high alkaline phosphatase (P=0.005), CVC as first vascular access (P=0.023), and FO (P<0.0001) were associated with higher death risk, whereas higher body mass index (P=0.015), haemoglobin (P=0.004), transferrin saturation (P=0.002), and serum albumin (P<0.0001) were associated with better survival. The same variables, except initial CVC use (P=0.14), were associated with death risk in an analysis of subdistribution proportional hazards ratio including the competing outcomes. CONCLUSIONS: The present study gives an overview of a large HD population in a developing country and identifies the main predictors of mortality, including some potentially modifiable ones, such as unplanned initiation of dialysis in the hospital and fluid overload. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-022-02705-x.
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spelling pubmed-88648212022-02-23 Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients Barra, Ana Beatriz Lesqueves Roque-da-Silva, Ana Paula Canziani, Maria Eugenia F. Lugon, Jocemir R. Strogoff-de-Matos, Jorge Paulo BMC Nephrol Research BACKGROUND: Although Brazil has one of the largest populations on haemodialysis (HD) in the world, data regarding patients’ characteristics and the variables associated with risk of death are scanty. METHODS: This is a retrospective analysis of all adult patients who initiated on maintenance HD at 23 dialysis centres in Brazil between 2012 and 2017. Patients were censored after 60 months of follow-up or at the end of 2019. RESULTS: A total of 5,081 patients were included in the analysis. The median age was 59 years, 59.4% were men, 37.5% had diabetes as the cause of kidney failure. Almost 70% had a central venous catheter (CVC) as the initial vascular access, about 60% started dialysis in the hospital, and fluid overload (FO) by bioimpedance assessment was seen in 45% of patients. The 60-month survival rate was 51.4%. In the Cox regression analysis, being older (P<0.0001), starting dialysis in the hospital (P=0.016), having diabetes as the cause of kidney failure (P=0.001), high alkaline phosphatase (P=0.005), CVC as first vascular access (P=0.023), and FO (P<0.0001) were associated with higher death risk, whereas higher body mass index (P=0.015), haemoglobin (P=0.004), transferrin saturation (P=0.002), and serum albumin (P<0.0001) were associated with better survival. The same variables, except initial CVC use (P=0.14), were associated with death risk in an analysis of subdistribution proportional hazards ratio including the competing outcomes. CONCLUSIONS: The present study gives an overview of a large HD population in a developing country and identifies the main predictors of mortality, including some potentially modifiable ones, such as unplanned initiation of dialysis in the hospital and fluid overload. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-022-02705-x. BioMed Central 2022-02-23 /pmc/articles/PMC8864821/ /pubmed/35196997 http://dx.doi.org/10.1186/s12882-022-02705-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Barra, Ana Beatriz Lesqueves
Roque-da-Silva, Ana Paula
Canziani, Maria Eugenia F.
Lugon, Jocemir R.
Strogoff-de-Matos, Jorge Paulo
Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients
title Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients
title_full Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients
title_fullStr Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients
title_full_unstemmed Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients
title_short Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients
title_sort characteristics and predictors of mortality on haemodialysis in brazil: a cohort of 5,081 incident patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864821/
https://www.ncbi.nlm.nih.gov/pubmed/35196997
http://dx.doi.org/10.1186/s12882-022-02705-x
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