Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.16/2676 |
Resumo: | Aim: Mortality in end-stage renal disease (ESRD) remains high, particularly among elderly, who represents the most rapidly growing segment of the ESRD population in wealthier countries. We developed and validated a risk score in elderly patients to predict 6-month mortality after dialysis initiation. Methods: We used data from a cohort of 421 patients, aged 65 years and over who started dialysis between 2009 and 2016, in our Nephrology department. The predictive score was developed using a multivariable logistic regression analysis. A bootstrapping technique was used for internal validation. Results: The overall mortality within 6 months was 14.0%. Five independent predictors were identified, and a points system was constructed: age 75 years or older (2 points), coronary artery disease (2), cerebrovascular disease with hemiplegia (2), time of nephrology care before dialysis (<3.0 months [2]; ≥3 to <12 months [1]), and serum albumin levels (3.0-3.49 g/dL [1]; <3.0 g/dL [2]). A score of 6 identified patients with a 70% risk of 6-month mortality. Model performance was good in both discrimination (area under the curve of 0.793; [95% CI 0.73-0.86]) and validation (concordance statistics of 0.791 [95% CI 0.73-0.85]). Conclusions: We developed a simple prediction score based on readily available clinical and laboratory data that can be a practical and useful tool to assess short-term prognosis in elderly patients starting dialysis. It may help to inform patients and their families about ESRD treatment options and provide a more patient-centered overall approach to care. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic ScoreDialysisElderlyEnd-stage renal diseasePrognosis scoreShared decision makingAim: Mortality in end-stage renal disease (ESRD) remains high, particularly among elderly, who represents the most rapidly growing segment of the ESRD population in wealthier countries. We developed and validated a risk score in elderly patients to predict 6-month mortality after dialysis initiation. Methods: We used data from a cohort of 421 patients, aged 65 years and over who started dialysis between 2009 and 2016, in our Nephrology department. The predictive score was developed using a multivariable logistic regression analysis. A bootstrapping technique was used for internal validation. Results: The overall mortality within 6 months was 14.0%. Five independent predictors were identified, and a points system was constructed: age 75 years or older (2 points), coronary artery disease (2), cerebrovascular disease with hemiplegia (2), time of nephrology care before dialysis (<3.0 months [2]; ≥3 to <12 months [1]), and serum albumin levels (3.0-3.49 g/dL [1]; <3.0 g/dL [2]). A score of 6 identified patients with a 70% risk of 6-month mortality. Model performance was good in both discrimination (area under the curve of 0.793; [95% CI 0.73-0.86]) and validation (concordance statistics of 0.791 [95% CI 0.73-0.85]). Conclusions: We developed a simple prediction score based on readily available clinical and laboratory data that can be a practical and useful tool to assess short-term prognosis in elderly patients starting dialysis. It may help to inform patients and their families about ESRD treatment options and provide a more patient-centered overall approach to care.KargerRepositório Científico da Unidade Local de Saúde de Santo AntónioLascasas, JosefinaOliveira, PedroJ, MalheiroCampos, AndreiaCorreia, SofiaCabrita, AntonioLobato, LuísaFonseca, Isabel2022-03-22T15:10:52Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.16/2676eng1420-40961423-014310.1159/000504136info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-21T05:06:41Zoai:repositorio.chporto.pt:10400.16/2676Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-21T05:06:41Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score |
title |
Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score |
spellingShingle |
Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score Lascasas, Josefina Dialysis Elderly End-stage renal disease Prognosis score Shared decision making |
title_short |
Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score |
title_full |
Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score |
title_fullStr |
Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score |
title_full_unstemmed |
Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score |
title_sort |
Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score |
author |
Lascasas, Josefina |
author_facet |
Lascasas, Josefina Oliveira, Pedro J, Malheiro Campos, Andreia Correia, Sofia Cabrita, Antonio Lobato, Luísa Fonseca, Isabel |
author_role |
author |
author2 |
Oliveira, Pedro J, Malheiro Campos, Andreia Correia, Sofia Cabrita, Antonio Lobato, Luísa Fonseca, Isabel |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico da Unidade Local de Saúde de Santo António |
dc.contributor.author.fl_str_mv |
Lascasas, Josefina Oliveira, Pedro J, Malheiro Campos, Andreia Correia, Sofia Cabrita, Antonio Lobato, Luísa Fonseca, Isabel |
dc.subject.por.fl_str_mv |
Dialysis Elderly End-stage renal disease Prognosis score Shared decision making |
topic |
Dialysis Elderly End-stage renal disease Prognosis score Shared decision making |
description |
Aim: Mortality in end-stage renal disease (ESRD) remains high, particularly among elderly, who represents the most rapidly growing segment of the ESRD population in wealthier countries. We developed and validated a risk score in elderly patients to predict 6-month mortality after dialysis initiation. Methods: We used data from a cohort of 421 patients, aged 65 years and over who started dialysis between 2009 and 2016, in our Nephrology department. The predictive score was developed using a multivariable logistic regression analysis. A bootstrapping technique was used for internal validation. Results: The overall mortality within 6 months was 14.0%. Five independent predictors were identified, and a points system was constructed: age 75 years or older (2 points), coronary artery disease (2), cerebrovascular disease with hemiplegia (2), time of nephrology care before dialysis (<3.0 months [2]; ≥3 to <12 months [1]), and serum albumin levels (3.0-3.49 g/dL [1]; <3.0 g/dL [2]). A score of 6 identified patients with a 70% risk of 6-month mortality. Model performance was good in both discrimination (area under the curve of 0.793; [95% CI 0.73-0.86]) and validation (concordance statistics of 0.791 [95% CI 0.73-0.85]). Conclusions: We developed a simple prediction score based on readily available clinical and laboratory data that can be a practical and useful tool to assess short-term prognosis in elderly patients starting dialysis. It may help to inform patients and their families about ESRD treatment options and provide a more patient-centered overall approach to care. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2020-01-01T00:00:00Z 2022-03-22T15:10:52Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.16/2676 |
url |
http://hdl.handle.net/10400.16/2676 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1420-4096 1423-0143 10.1159/000504136 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Karger |
publisher.none.fl_str_mv |
Karger |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817549554605621248 |