Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease

Detalhes bibliográficos
Autor(a) principal: Santos, J
Data de Publicação: 2018
Outros Autores: Fonseca, I
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10216/113045
Resumo: Mortality in chronic kidney disease remains high, particularly among the elderly, who represent the most rapidly growing segment of the end-stage renal disease population in wealthier countries. The management of older adults with chronic kidney disease has become a clinical challenge, and care for those patients expected to progress to end-stage renal disease should focus on evaluating the overall benefit of offering renal replacement therapy to them. Predictive mortality models may help to inform shared decision-making in the trajectory of the elderly with chronic kidney disease. This review discusses current literature on the available predictive models for predicting survival in elderly chronic kidney disease patients and reflects the author’s own interpretation and experience.
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spelling Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney DiseaseChronic kidney disease - ElderMortality in chronic kidney disease remains high, particularly among the elderly, who represent the most rapidly growing segment of the end-stage renal disease population in wealthier countries. The management of older adults with chronic kidney disease has become a clinical challenge, and care for those patients expected to progress to end-stage renal disease should focus on evaluating the overall benefit of offering renal replacement therapy to them. Predictive mortality models may help to inform shared decision-making in the trajectory of the elderly with chronic kidney disease. This review discusses current literature on the available predictive models for predicting survival in elderly chronic kidney disease patients and reflects the author’s own interpretation and experience.20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10216/113045eng1687-707110.1155/2017/8067094Santos, JFonseca, 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:RCAAP2023-11-29T15:25:37Zoai:repositorio-aberto.up.pt:10216/113045Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:23:23.040465Repositório 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 Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease
title Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease
spellingShingle Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease
Santos, J
Chronic kidney disease - Elder
title_short Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease
title_full Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease
title_fullStr Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease
title_full_unstemmed Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease
title_sort Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease
author Santos, J
author_facet Santos, J
Fonseca, I
author_role author
author2 Fonseca, I
author2_role author
dc.contributor.author.fl_str_mv Santos, J
Fonseca, I
dc.subject.por.fl_str_mv Chronic kidney disease - Elder
topic Chronic kidney disease - Elder
description Mortality in chronic kidney disease remains high, particularly among the elderly, who represent the most rapidly growing segment of the end-stage renal disease population in wealthier countries. The management of older adults with chronic kidney disease has become a clinical challenge, and care for those patients expected to progress to end-stage renal disease should focus on evaluating the overall benefit of offering renal replacement therapy to them. Predictive mortality models may help to inform shared decision-making in the trajectory of the elderly with chronic kidney disease. This review discusses current literature on the available predictive models for predicting survival in elderly chronic kidney disease patients and reflects the author’s own interpretation and experience.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10216/113045
url http://hdl.handle.net/10216/113045
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1687-7071
10.1155/2017/8067094
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.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
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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
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