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Estimating the Loss in Expectation of Life and Relative Survival Rate among Hemodialysis Patients in Iran
Background: Information regarding the prognosis and burden of diseases can be used by policymakers to determine competing health priorities. We aimed to assess the Relative Survival Rate (RSR) and loss of expectation of life (LEL) to evaluate the prognosis and burden of diseases in Hemodialysis (HD)...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hamadan University of Medical Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585771/ https://www.ncbi.nlm.nih.gov/pubmed/33169719 http://dx.doi.org/10.34172/jrhs.2020.21 |
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author | Seyedghasemi, Navisa Sadat Bahrampour, Abbas Etminan, Abbas Haghdoost, AliAkbar Baneshi, Mohammad Reza |
author_facet | Seyedghasemi, Navisa Sadat Bahrampour, Abbas Etminan, Abbas Haghdoost, AliAkbar Baneshi, Mohammad Reza |
author_sort | Seyedghasemi, Navisa Sadat |
collection | PubMed |
description | Background: Information regarding the prognosis and burden of diseases can be used by policymakers to determine competing health priorities. We aimed to assess the Relative Survival Rate (RSR) and loss of expectation of life (LEL) to evaluate the prognosis and burden of diseases in Hemodialysis (HD) patients. Study design: A retrospective cohort study. Methods: We recruited 648 HD patients referred to three referral centers in Kerman City, Iran, from 2008 to 2019. RSR, was defined as the ratio of the observed and the expected survival rates of general population for persons of the same age and sex as patients in the current study. LEL was determined as the difference between corresponding life expectancies (LE). The extended Cox proportional hazard model was used to identify variables associated with the outcome. Results: Variables associated with outcome were diabetic status and age. In the 5th year of the follow-up study, the overall RSR was 0.57. In general, for HD patients, the estimation of LE and LEL was 22.6 and 12.36 year, respectively. Conclusion: HD patients, especially older patients, showed a very poor prognosis, with a large amount of lost life expectancy. Therefore, they need more care and attention from health authorities. It is suggested to estimate the cost of eliminating the risk factors causing kidney diseases. |
format | Online Article Text |
id | pubmed-7585771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hamadan University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-75857712020-10-27 Estimating the Loss in Expectation of Life and Relative Survival Rate among Hemodialysis Patients in Iran Seyedghasemi, Navisa Sadat Bahrampour, Abbas Etminan, Abbas Haghdoost, AliAkbar Baneshi, Mohammad Reza J Res Health Sci Original Article Background: Information regarding the prognosis and burden of diseases can be used by policymakers to determine competing health priorities. We aimed to assess the Relative Survival Rate (RSR) and loss of expectation of life (LEL) to evaluate the prognosis and burden of diseases in Hemodialysis (HD) patients. Study design: A retrospective cohort study. Methods: We recruited 648 HD patients referred to three referral centers in Kerman City, Iran, from 2008 to 2019. RSR, was defined as the ratio of the observed and the expected survival rates of general population for persons of the same age and sex as patients in the current study. LEL was determined as the difference between corresponding life expectancies (LE). The extended Cox proportional hazard model was used to identify variables associated with the outcome. Results: Variables associated with outcome were diabetic status and age. In the 5th year of the follow-up study, the overall RSR was 0.57. In general, for HD patients, the estimation of LE and LEL was 22.6 and 12.36 year, respectively. Conclusion: HD patients, especially older patients, showed a very poor prognosis, with a large amount of lost life expectancy. Therefore, they need more care and attention from health authorities. It is suggested to estimate the cost of eliminating the risk factors causing kidney diseases. Hamadan University of Medical Sciences 2020-08-03 /pmc/articles/PMC7585771/ /pubmed/33169719 http://dx.doi.org/10.34172/jrhs.2020.21 Text en © 2020 The Author(s); Published by Hamadan University of Medical Sciences. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (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 | Original Article Seyedghasemi, Navisa Sadat Bahrampour, Abbas Etminan, Abbas Haghdoost, AliAkbar Baneshi, Mohammad Reza Estimating the Loss in Expectation of Life and Relative Survival Rate among Hemodialysis Patients in Iran |
title | Estimating the Loss in Expectation of Life and Relative Survival Rate among Hemodialysis Patients in Iran |
title_full | Estimating the Loss in Expectation of Life and Relative Survival Rate among Hemodialysis Patients in Iran |
title_fullStr | Estimating the Loss in Expectation of Life and Relative Survival Rate among Hemodialysis Patients in Iran |
title_full_unstemmed | Estimating the Loss in Expectation of Life and Relative Survival Rate among Hemodialysis Patients in Iran |
title_short | Estimating the Loss in Expectation of Life and Relative Survival Rate among Hemodialysis Patients in Iran |
title_sort | estimating the loss in expectation of life and relative survival rate among hemodialysis patients in iran |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585771/ https://www.ncbi.nlm.nih.gov/pubmed/33169719 http://dx.doi.org/10.34172/jrhs.2020.21 |
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