Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic Score

Detalhes bibliográficos
Autor(a) principal: Lascasas, Josefina
Data de Publicação: 2020
Outros Autores: Oliveira, Pedro, J, Malheiro, Campos, Andreia, Correia, Sofia, Cabrita, Antonio, Lobato, Luísa, Fonseca, Isabel
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.
id RCAP_be414d2b5197abbfca80120867b48628
oai_identifier_str oai:repositorio.chporto.pt:10400.16/2676
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling 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
_version_ 1817549554605621248