Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country

Detalhes bibliográficos
Autor(a) principal: Vasconcellos Romanini, C.
Data de Publicação: 2020
Outros Autores: Vilas Boas, P. [UNESP], Cecato, J. F., Robello, E., Borges, M. K., Martinelli, J. E., Aprahamian, Ivan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s12603-020-1464-7
http://hdl.handle.net/11449/197273
Resumo: Background/Objectives Frailty is common in nursing homes. However, few studies reported longitudinal validation for death prediction or cut-off scores with the FRAIL-NH, which is designed to be used in nursing homes. Moreover, no studies came from Latin America, where frailty is highly prevalent. Our objectives were to evaluate (1) the prevalence of frailty according to the FRAIL-NH scale, and (2) its association to and the best cut-off score for predicting death after 12 months. Design Longitudinal study with 12-month follow-up. Setting 6 nursing homes in southwest of Brazil. Participants 293 residents with 60 years old or more. Methods Frailty was evaluated through the FRAIL-NH scale. Logistic regression was used to estimate the associated between frailty and mortality adjusted for age and sex. ROC curve was used to evaluate the accuracy of the scale for mortality prediction. Results Frailty was prevalent (47.4%) and was associated with death (odds ratio=1.31, 95% confidence interval [CI]=1.18-1.48, p<0.001). The area under the curve was 0.741 (95%CI=0.68-0.79). The sensitivity and specificity of the FRAIL-NH scale according to the best value of the Youden Index was 72.9% and 66.5%, respectively, for a cut-off > 8 points. Conclusions Frailty is prevalent in nursing homes according to the FRAIL-NH and it was associated with one-year prediction of death for a cut-off >8 points.
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spelling Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income CountryFrailtyFRAIL-NHnursing homemortalityolder adultsBackground/Objectives Frailty is common in nursing homes. However, few studies reported longitudinal validation for death prediction or cut-off scores with the FRAIL-NH, which is designed to be used in nursing homes. Moreover, no studies came from Latin America, where frailty is highly prevalent. Our objectives were to evaluate (1) the prevalence of frailty according to the FRAIL-NH scale, and (2) its association to and the best cut-off score for predicting death after 12 months. Design Longitudinal study with 12-month follow-up. Setting 6 nursing homes in southwest of Brazil. Participants 293 residents with 60 years old or more. Methods Frailty was evaluated through the FRAIL-NH scale. Logistic regression was used to estimate the associated between frailty and mortality adjusted for age and sex. ROC curve was used to evaluate the accuracy of the scale for mortality prediction. Results Frailty was prevalent (47.4%) and was associated with death (odds ratio=1.31, 95% confidence interval [CI]=1.18-1.48, p<0.001). The area under the curve was 0.741 (95%CI=0.68-0.79). The sensitivity and specificity of the FRAIL-NH scale according to the best value of the Youden Index was 72.9% and 66.5%, respectively, for a cut-off > 8 points. Conclusions Frailty is prevalent in nursing homes according to the FRAIL-NH and it was associated with one-year prediction of death for a cut-off >8 points.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)National Council for Scientific and Technological Development (Ministry of Science, Technology, Innovation and Communications, Brazil)Fac Med Jundiai, Dept Internal Med, Geriatr Div, Jundiai, BrazilSao Paulo State Univ, Botucatu Med Sch, Dept Internal Med, Geriatr Div, Botucatu, SP, BrazilSao Paulo State Univ, Botucatu Med Sch, Dept Internal Med, Geriatr Div, Botucatu, SP, BrazilCAPES: 001SpringerFac Med JundiaiUniversidade Estadual Paulista (Unesp)Vasconcellos Romanini, C.Vilas Boas, P. [UNESP]Cecato, J. F.Robello, E.Borges, M. K.Martinelli, J. E.Aprahamian, Ivan2020-12-10T20:11:42Z2020-12-10T20:11:42Z2020-09-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article4http://dx.doi.org/10.1007/s12603-020-1464-7Journal Of Nutrition Health & Aging. Paris: Springer France, 4 p., 2020.1279-7707http://hdl.handle.net/11449/19727310.1007/s12603-020-1464-7WOS:000565498000001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Nutrition Health & Aginginfo:eu-repo/semantics/openAccess2021-10-23T12:31:35Zoai:repositorio.unesp.br:11449/197273Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T12:31:35Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country
title Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country
spellingShingle Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country
Vasconcellos Romanini, C.
Frailty
FRAIL-NH
nursing home
mortality
older adults
title_short Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country
title_full Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country
title_fullStr Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country
title_full_unstemmed Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country
title_sort Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country
author Vasconcellos Romanini, C.
author_facet Vasconcellos Romanini, C.
Vilas Boas, P. [UNESP]
Cecato, J. F.
Robello, E.
Borges, M. K.
Martinelli, J. E.
Aprahamian, Ivan
author_role author
author2 Vilas Boas, P. [UNESP]
Cecato, J. F.
Robello, E.
Borges, M. K.
Martinelli, J. E.
Aprahamian, Ivan
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Fac Med Jundiai
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Vasconcellos Romanini, C.
Vilas Boas, P. [UNESP]
Cecato, J. F.
Robello, E.
Borges, M. K.
Martinelli, J. E.
Aprahamian, Ivan
dc.subject.por.fl_str_mv Frailty
FRAIL-NH
nursing home
mortality
older adults
topic Frailty
FRAIL-NH
nursing home
mortality
older adults
description Background/Objectives Frailty is common in nursing homes. However, few studies reported longitudinal validation for death prediction or cut-off scores with the FRAIL-NH, which is designed to be used in nursing homes. Moreover, no studies came from Latin America, where frailty is highly prevalent. Our objectives were to evaluate (1) the prevalence of frailty according to the FRAIL-NH scale, and (2) its association to and the best cut-off score for predicting death after 12 months. Design Longitudinal study with 12-month follow-up. Setting 6 nursing homes in southwest of Brazil. Participants 293 residents with 60 years old or more. Methods Frailty was evaluated through the FRAIL-NH scale. Logistic regression was used to estimate the associated between frailty and mortality adjusted for age and sex. ROC curve was used to evaluate the accuracy of the scale for mortality prediction. Results Frailty was prevalent (47.4%) and was associated with death (odds ratio=1.31, 95% confidence interval [CI]=1.18-1.48, p<0.001). The area under the curve was 0.741 (95%CI=0.68-0.79). The sensitivity and specificity of the FRAIL-NH scale according to the best value of the Youden Index was 72.9% and 66.5%, respectively, for a cut-off > 8 points. Conclusions Frailty is prevalent in nursing homes according to the FRAIL-NH and it was associated with one-year prediction of death for a cut-off >8 points.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-10T20:11:42Z
2020-12-10T20:11:42Z
2020-09-02
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://dx.doi.org/10.1007/s12603-020-1464-7
Journal Of Nutrition Health & Aging. Paris: Springer France, 4 p., 2020.
1279-7707
http://hdl.handle.net/11449/197273
10.1007/s12603-020-1464-7
WOS:000565498000001
url http://dx.doi.org/10.1007/s12603-020-1464-7
http://hdl.handle.net/11449/197273
identifier_str_mv Journal Of Nutrition Health & Aging. Paris: Springer France, 4 p., 2020.
1279-7707
10.1007/s12603-020-1464-7
WOS:000565498000001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal Of Nutrition Health & Aging
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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