Prediction of Death with the Frail-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
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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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/openAccess2024-08-14T17:22:01Zoai:repositorio.unesp.br:11449/197273Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-14T17:22:01Repositório 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 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
4 |
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 |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808128107430805504 |