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Comprehensive geriatric assessment predicts mortality and adverse outcomes in hospitalized older adults

BACKGROUND: Comprehensive Geriatric Assessment (CGA) provides detailed information on clinical, functional and cognitive aspects of older patients and is especially useful for assessing frail individuals. Although a large proportion of hospitalized older adults demonstrate a high level of complexity...

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Autores principales: Avelino-Silva, Thiago J, Farfel, Jose M, Curiati, Jose AE, Amaral, Jose RG, Campora, Flavia, Jacob-Filho, Wilson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4265401/
https://www.ncbi.nlm.nih.gov/pubmed/25464932
http://dx.doi.org/10.1186/1471-2318-14-129
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author Avelino-Silva, Thiago J
Farfel, Jose M
Curiati, Jose AE
Amaral, Jose RG
Campora, Flavia
Jacob-Filho, Wilson
author_facet Avelino-Silva, Thiago J
Farfel, Jose M
Curiati, Jose AE
Amaral, Jose RG
Campora, Flavia
Jacob-Filho, Wilson
author_sort Avelino-Silva, Thiago J
collection PubMed
description BACKGROUND: Comprehensive Geriatric Assessment (CGA) provides detailed information on clinical, functional and cognitive aspects of older patients and is especially useful for assessing frail individuals. Although a large proportion of hospitalized older adults demonstrate a high level of complexity, CGA was not developed specifically for this setting. Our aim was to evaluate the application of a CGA model for the clinical characterization and prognostic prediction of hospitalized older adults. METHODS: This was a prospective observational study including 746 patients aged 60 years and over who were admitted to a geriatric ward of a university hospital between January 2009 and December 2011, in Sao Paulo, Brazil. The proposed CGA was applied to evaluate all patients at admission. The primary outcome was in-hospital death, and the secondary outcomes were delirium, nosocomial infections, functional decline and length of stay. Multivariate binary logistic regression was performed to assess independent factors associated with these outcomes, including socio-demographic, clinical, functional, cognitive, and laboratory variables. Impairment in ten CGA components was particularly investigated: polypharmacy, activities of daily living (ADL) dependency, instrumental activities of daily living (IADL) dependency, depression, dementia, delirium, urinary incontinence, falls, malnutrition, and poor social support. RESULTS: The studied patients were mostly women (67.4%), and the mean age was 80.5±7.9 years. Multivariate logistic regression analysis revealed the following independent factors associated with in-hospital death: IADL dependency (OR=4.02; CI=1.52-10.58; p=.005); ADL dependency (OR=2.39; CI=1.25-4.56; p=.008); malnutrition (OR=2.80; CI=1.63-4.83; p<.001); poor social support (OR=5.42; CI=2.93-11.36; p<.001); acute kidney injury (OR=3.05; CI=1.78-5.27; p<.001); and the presence of pressure ulcers (OR=2.29; CI=1.04-5.07; p=.041). ADL dependency was independently associated with both delirium incidence and nosocomial infections (respectively: OR=3.78; CI=2.30-6.20; p<.001 and OR=2.30; CI=1.49-3.49; p<.001). The number of impaired CGA components was also found to be associated with in-hospital death (p<.001), delirium incidence (p<.001) and nosocomial infections (p=.005). Additionally, IADL dependency, malnutrition and history of falls predicted longer hospitalizations. There were no significant changes in overall functional status during the hospital stay. CONCLUSIONS: CGA identified patients at higher risk of in-hospital death and adverse outcomes, of which those with functional dependence, malnutrition and poor social support were foremost.
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spelling pubmed-42654012014-12-15 Comprehensive geriatric assessment predicts mortality and adverse outcomes in hospitalized older adults Avelino-Silva, Thiago J Farfel, Jose M Curiati, Jose AE Amaral, Jose RG Campora, Flavia Jacob-Filho, Wilson BMC Geriatr Research Article BACKGROUND: Comprehensive Geriatric Assessment (CGA) provides detailed information on clinical, functional and cognitive aspects of older patients and is especially useful for assessing frail individuals. Although a large proportion of hospitalized older adults demonstrate a high level of complexity, CGA was not developed specifically for this setting. Our aim was to evaluate the application of a CGA model for the clinical characterization and prognostic prediction of hospitalized older adults. METHODS: This was a prospective observational study including 746 patients aged 60 years and over who were admitted to a geriatric ward of a university hospital between January 2009 and December 2011, in Sao Paulo, Brazil. The proposed CGA was applied to evaluate all patients at admission. The primary outcome was in-hospital death, and the secondary outcomes were delirium, nosocomial infections, functional decline and length of stay. Multivariate binary logistic regression was performed to assess independent factors associated with these outcomes, including socio-demographic, clinical, functional, cognitive, and laboratory variables. Impairment in ten CGA components was particularly investigated: polypharmacy, activities of daily living (ADL) dependency, instrumental activities of daily living (IADL) dependency, depression, dementia, delirium, urinary incontinence, falls, malnutrition, and poor social support. RESULTS: The studied patients were mostly women (67.4%), and the mean age was 80.5±7.9 years. Multivariate logistic regression analysis revealed the following independent factors associated with in-hospital death: IADL dependency (OR=4.02; CI=1.52-10.58; p=.005); ADL dependency (OR=2.39; CI=1.25-4.56; p=.008); malnutrition (OR=2.80; CI=1.63-4.83; p<.001); poor social support (OR=5.42; CI=2.93-11.36; p<.001); acute kidney injury (OR=3.05; CI=1.78-5.27; p<.001); and the presence of pressure ulcers (OR=2.29; CI=1.04-5.07; p=.041). ADL dependency was independently associated with both delirium incidence and nosocomial infections (respectively: OR=3.78; CI=2.30-6.20; p<.001 and OR=2.30; CI=1.49-3.49; p<.001). The number of impaired CGA components was also found to be associated with in-hospital death (p<.001), delirium incidence (p<.001) and nosocomial infections (p=.005). Additionally, IADL dependency, malnutrition and history of falls predicted longer hospitalizations. There were no significant changes in overall functional status during the hospital stay. CONCLUSIONS: CGA identified patients at higher risk of in-hospital death and adverse outcomes, of which those with functional dependence, malnutrition and poor social support were foremost. BioMed Central 2014-12-03 /pmc/articles/PMC4265401/ /pubmed/25464932 http://dx.doi.org/10.1186/1471-2318-14-129 Text en © Avelino-Silva et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Avelino-Silva, Thiago J
Farfel, Jose M
Curiati, Jose AE
Amaral, Jose RG
Campora, Flavia
Jacob-Filho, Wilson
Comprehensive geriatric assessment predicts mortality and adverse outcomes in hospitalized older adults
title Comprehensive geriatric assessment predicts mortality and adverse outcomes in hospitalized older adults
title_full Comprehensive geriatric assessment predicts mortality and adverse outcomes in hospitalized older adults
title_fullStr Comprehensive geriatric assessment predicts mortality and adverse outcomes in hospitalized older adults
title_full_unstemmed Comprehensive geriatric assessment predicts mortality and adverse outcomes in hospitalized older adults
title_short Comprehensive geriatric assessment predicts mortality and adverse outcomes in hospitalized older adults
title_sort comprehensive geriatric assessment predicts mortality and adverse outcomes in hospitalized older adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4265401/
https://www.ncbi.nlm.nih.gov/pubmed/25464932
http://dx.doi.org/10.1186/1471-2318-14-129
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