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

Detalhes bibliográficos
Autor(a) principal: Santos, J
Data de Publicação: 2020
Outros Autores: Oliveira, P, Malheiro, J, Campos, A, Correia, S, Cabrita, A, Lobato, L, Fonseca, I
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/143218
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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spelling Predicting 6-Month Mortality in Incident Elderly Dialysis Patients: A Simple Prognostic ScoreElderlyEnd-stage renal diseaseDialysisPrognosis 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.Karger Publishers20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/143218eng1420-40961423-014310.1159/000504136Santos, JOliveira, PMalheiro, JCampos, ACorreia, SCabrita, ALobato, LFonseca, Iinfo: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:RCAAP2023-07-26T13:34:54ZPortal AgregadorONG
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
Santos, J
Elderly
End-stage renal disease
Dialysis
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 Santos, J
author_facet Santos, J
Oliveira, P
Malheiro, J
Campos, A
Correia, S
Cabrita, A
Lobato, L
Fonseca, I
author_role author
author2 Oliveira, P
Malheiro, J
Campos, A
Correia, S
Cabrita, A
Lobato, L
Fonseca, I
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, J
Oliveira, P
Malheiro, J
Campos, A
Correia, S
Cabrita, A
Lobato, L
Fonseca, I
dc.subject.por.fl_str_mv Elderly
End-stage renal disease
Dialysis
Prognosis score
Shared decision making
topic Elderly
End-stage renal disease
Dialysis
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
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 https://hdl.handle.net/10216/143218
url https://hdl.handle.net/10216/143218
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 Publishers
publisher.none.fl_str_mv Karger Publishers
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
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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