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Trend and determinants of mortality in incident hemodialysis patients of the Lazio region

BACKGROUND: . In the last decades some studies observed a moderate progressive decrease in short-term mortality in incident hemodialysis patients. The aim of the study is to analyse the mortality trends in patients starting hemodialysis using the Lazio Regional Dialysis and Transplant Registry. METH...

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Autores principales: Bossola, Maurizio, Di Napoli, Anteo, Angelici, Laura, Bargagli, Anna Maria, Cascini, Silvia, Kirchmayer, Ursula, Agabiti, Nera, Davoli, Marina, Marino, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134676/
https://www.ncbi.nlm.nih.gov/pubmed/37101132
http://dx.doi.org/10.1186/s12882-023-03170-w
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author Bossola, Maurizio
Di Napoli, Anteo
Angelici, Laura
Bargagli, Anna Maria
Cascini, Silvia
Kirchmayer, Ursula
Agabiti, Nera
Davoli, Marina
Marino, Claudia
author_facet Bossola, Maurizio
Di Napoli, Anteo
Angelici, Laura
Bargagli, Anna Maria
Cascini, Silvia
Kirchmayer, Ursula
Agabiti, Nera
Davoli, Marina
Marino, Claudia
author_sort Bossola, Maurizio
collection PubMed
description BACKGROUND: . In the last decades some studies observed a moderate progressive decrease in short-term mortality in incident hemodialysis patients. The aim of the study is to analyse the mortality trends in patients starting hemodialysis using the Lazio Regional Dialysis and Transplant Registry. METHODS: . Patients who started chronic hemodialysis between 2008 and 2016 were included. Annual 1-year and 3-year Crude Mortality Rate*100 Person Years (CMR*100PY) overall, by gender and age classes were calculated. Cumulative survival estimates at 1 year and 3 years since the date of starting hemodialysis were presented as Kaplan-Meier curves for the three periods and compared using the log-rank test. The association between periods of incidence in hemodialysis and 1-year and 3-year mortality were investigated by means of unadjusted and adjusted Cox regression models. Potential determinants of both mortality outcomes were also investigated. RESULTS: . Among 6,997 hemodialysis patients (64.5% males, 66.1% over 65 years old) 923 died within 1 year and 2,253 within 3 years form incidence; CMR*100PY were 14.1 (95%CI: 13.2–15.0) and 13.7 (95%CI: 13.2–14.3), respectively; both remained unchanged over the years. Even after stratification by gender and age classes no significant changes emerged. Kaplan-Meier mortality curves did not show any statistically significant differences in survival at 1 year and 3 years from hemodialysis incidence across periods. No statistically significant associations were found between periods and 1-year and 3-year mortality. Factors associated with a greater increase in mortality are: being over 65 years, born in Italy, not being self-sufficient, having systemic versus undetermined nephropathy, having heart disease, peripheral vascular disease, cancer, liver disease, dementia and psychiatric illness, and receiving dialysis by catheter rather than fistula. CONCLUSIONS: . The study shows that the mortality rate in patients with end-stage renal disease starting hemodialysis in the Lazio region was stable over 9 years. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03170-w.
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spelling pubmed-101346762023-04-28 Trend and determinants of mortality in incident hemodialysis patients of the Lazio region Bossola, Maurizio Di Napoli, Anteo Angelici, Laura Bargagli, Anna Maria Cascini, Silvia Kirchmayer, Ursula Agabiti, Nera Davoli, Marina Marino, Claudia BMC Nephrol Research BACKGROUND: . In the last decades some studies observed a moderate progressive decrease in short-term mortality in incident hemodialysis patients. The aim of the study is to analyse the mortality trends in patients starting hemodialysis using the Lazio Regional Dialysis and Transplant Registry. METHODS: . Patients who started chronic hemodialysis between 2008 and 2016 were included. Annual 1-year and 3-year Crude Mortality Rate*100 Person Years (CMR*100PY) overall, by gender and age classes were calculated. Cumulative survival estimates at 1 year and 3 years since the date of starting hemodialysis were presented as Kaplan-Meier curves for the three periods and compared using the log-rank test. The association between periods of incidence in hemodialysis and 1-year and 3-year mortality were investigated by means of unadjusted and adjusted Cox regression models. Potential determinants of both mortality outcomes were also investigated. RESULTS: . Among 6,997 hemodialysis patients (64.5% males, 66.1% over 65 years old) 923 died within 1 year and 2,253 within 3 years form incidence; CMR*100PY were 14.1 (95%CI: 13.2–15.0) and 13.7 (95%CI: 13.2–14.3), respectively; both remained unchanged over the years. Even after stratification by gender and age classes no significant changes emerged. Kaplan-Meier mortality curves did not show any statistically significant differences in survival at 1 year and 3 years from hemodialysis incidence across periods. No statistically significant associations were found between periods and 1-year and 3-year mortality. Factors associated with a greater increase in mortality are: being over 65 years, born in Italy, not being self-sufficient, having systemic versus undetermined nephropathy, having heart disease, peripheral vascular disease, cancer, liver disease, dementia and psychiatric illness, and receiving dialysis by catheter rather than fistula. CONCLUSIONS: . The study shows that the mortality rate in patients with end-stage renal disease starting hemodialysis in the Lazio region was stable over 9 years. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03170-w. BioMed Central 2023-04-26 /pmc/articles/PMC10134676/ /pubmed/37101132 http://dx.doi.org/10.1186/s12882-023-03170-w Text en © The Author(s) 2023 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
Bossola, Maurizio
Di Napoli, Anteo
Angelici, Laura
Bargagli, Anna Maria
Cascini, Silvia
Kirchmayer, Ursula
Agabiti, Nera
Davoli, Marina
Marino, Claudia
Trend and determinants of mortality in incident hemodialysis patients of the Lazio region
title Trend and determinants of mortality in incident hemodialysis patients of the Lazio region
title_full Trend and determinants of mortality in incident hemodialysis patients of the Lazio region
title_fullStr Trend and determinants of mortality in incident hemodialysis patients of the Lazio region
title_full_unstemmed Trend and determinants of mortality in incident hemodialysis patients of the Lazio region
title_short Trend and determinants of mortality in incident hemodialysis patients of the Lazio region
title_sort trend and determinants of mortality in incident hemodialysis patients of the lazio region
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134676/
https://www.ncbi.nlm.nih.gov/pubmed/37101132
http://dx.doi.org/10.1186/s12882-023-03170-w
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