Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes

Detalhes bibliográficos
Autor(a) principal: Santos, J
Data de Publicação: 2021
Outros Autores: Oliveira, P, Severo, M, Lobato, L, Cabrita, A, 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/10216/149509
Resumo: Background. Identifying trajectories of kidney disease progression in chronic kidney disease (CKD) patients may help to deliver better care. We aimed to identify and characterize trajectories of renal function decline in CKD patients and to investigate their association with mortality after dialysis.Methods. This retrospective cohort study included 378 CKD patients who initiated dialysis (aged 65 years and over) between 2009 and 2016. Were considered mixed models using linear quadratic and cubic models to define the trajectories, and we used probabilistic clustering procedures. Patient characteristics and care practices at and before dialysis were examined by multivariable multinomial logistic regression. The association of these trajectories with mortality after dialysis was examined using Cox models.Results. Four distinct groups of eGFR trajectories decline before dialysis were identified: slower decline (18.3%), gradual decline (18.3%), early rapid decline (41.2%), and rapid decline (22.2%). Patients with rapid eGFR decline were more likely to have diabetes, more cognitive impairment, to have been hospitalized before dialysis, and were less likely to have received pre-dialysis care compared to the patients with a slower decline. They had a higher risk of death within the first and fourth year after dialysis initiation, and after being more than 4 years in dialysis.Conclusions. There are different patterns of eGFR trajectories before dialysis initiation in the elderly, that may help to identify those who are more likely to experience an accelerated decline in kidney function, with impact on pre ESKD care and in the mortality risk after dialysis.
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spelling Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomesCKDESKDoutcomesrenal function trajectoryBackground. Identifying trajectories of kidney disease progression in chronic kidney disease (CKD) patients may help to deliver better care. We aimed to identify and characterize trajectories of renal function decline in CKD patients and to investigate their association with mortality after dialysis.Methods. This retrospective cohort study included 378 CKD patients who initiated dialysis (aged 65 years and over) between 2009 and 2016. Were considered mixed models using linear quadratic and cubic models to define the trajectories, and we used probabilistic clustering procedures. Patient characteristics and care practices at and before dialysis were examined by multivariable multinomial logistic regression. The association of these trajectories with mortality after dialysis was examined using Cox models.Results. Four distinct groups of eGFR trajectories decline before dialysis were identified: slower decline (18.3%), gradual decline (18.3%), early rapid decline (41.2%), and rapid decline (22.2%). Patients with rapid eGFR decline were more likely to have diabetes, more cognitive impairment, to have been hospitalized before dialysis, and were less likely to have received pre-dialysis care compared to the patients with a slower decline. They had a higher risk of death within the first and fourth year after dialysis initiation, and after being more than 4 years in dialysis.Conclusions. There are different patterns of eGFR trajectories before dialysis initiation in the elderly, that may help to identify those who are more likely to experience an accelerated decline in kidney function, with impact on pre ESKD care and in the mortality risk after dialysis.Taylor & Francis20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/149509eng0886-022X1525-604910.1080/0886022X.2021.1945464Santos, JOliveira, PSevero, MLobato, LCabrita, AFonseca, 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:RCAAP2023-11-29T12:51:02Zoai:repositorio-aberto.up.pt:10216/149509Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:28:02.638520Repositório 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 Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes
title Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes
spellingShingle Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes
Santos, J
CKD
ESKD
outcomes
renal function trajectory
title_short Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes
title_full Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes
title_fullStr Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes
title_full_unstemmed Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes
title_sort Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes
author Santos, J
author_facet Santos, J
Oliveira, P
Severo, M
Lobato, L
Cabrita, A
Fonseca, I
author_role author
author2 Oliveira, P
Severo, M
Lobato, L
Cabrita, A
Fonseca, I
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, J
Oliveira, P
Severo, M
Lobato, L
Cabrita, A
Fonseca, I
dc.subject.por.fl_str_mv CKD
ESKD
outcomes
renal function trajectory
topic CKD
ESKD
outcomes
renal function trajectory
description Background. Identifying trajectories of kidney disease progression in chronic kidney disease (CKD) patients may help to deliver better care. We aimed to identify and characterize trajectories of renal function decline in CKD patients and to investigate their association with mortality after dialysis.Methods. This retrospective cohort study included 378 CKD patients who initiated dialysis (aged 65 years and over) between 2009 and 2016. Were considered mixed models using linear quadratic and cubic models to define the trajectories, and we used probabilistic clustering procedures. Patient characteristics and care practices at and before dialysis were examined by multivariable multinomial logistic regression. The association of these trajectories with mortality after dialysis was examined using Cox models.Results. Four distinct groups of eGFR trajectories decline before dialysis were identified: slower decline (18.3%), gradual decline (18.3%), early rapid decline (41.2%), and rapid decline (22.2%). Patients with rapid eGFR decline were more likely to have diabetes, more cognitive impairment, to have been hospitalized before dialysis, and were less likely to have received pre-dialysis care compared to the patients with a slower decline. They had a higher risk of death within the first and fourth year after dialysis initiation, and after being more than 4 years in dialysis.Conclusions. There are different patterns of eGFR trajectories before dialysis initiation in the elderly, that may help to identify those who are more likely to experience an accelerated decline in kidney function, with impact on pre ESKD care and in the mortality risk after dialysis.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
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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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/149509
url https://hdl.handle.net/10216/149509
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0886-022X
1525-6049
10.1080/0886022X.2021.1945464
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dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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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