Frailty Could Predict Death in Older Adults after Admissionat Emergency Department? A 6-month Prospective Study from a Middle-Income Country
The number of older adults attending emergency department (ED) is increasing all over the world. Usually, those patients are potentially more complex due to their greater number of comorbidities, cognitive disorders, and functional or physical disabilities. Frailty is a vulnerable state that could p...
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Veröffentlicht in: | The Journal of nutrition, health & aging health & aging, 2019, Vol.23 (7), p.641-647 |
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creator | Aprahamian, I Aricó de Almeida, G V de Vasconcellos Romanin, C F Gomes Caldas, T Antunes Yoshitake, N T Bataglini, L Mori Lin, S Alves Pereira, A Nara Alegrini Longhi, L Mamoni, R L Martinelli, J E |
description | The number of older adults attending emergency department (ED) is increasing all over the world. Usually, those patients are potentially more complex due to their greater number of comorbidities, cognitive disorders, and functional or physical disabilities. Frailty is a vulnerable state that could predict adverse outcomes of those patients. There are very few studies that addressed this topic in the ED, and none of them used a simple instrument for frailty assessment.
The primary outcome was to evaluate the association between frailty identified through the FRAIL questionnaire at baseline and death after a 6-month follow-up period after hospital discharge from the ED. Secondary outcomes were readmission to the ED and disability after 6 months.
A 6-month follow-up prospective study (FASES study) was conducted at a university-based trauma-center ED in Jundiaí, southwestern of Brazil. A total of 316 older adults aged 60 or older were randomly included based on a lottery of their medical record admission number. Frailty was evaluated through the FRAIL questionnaire. The association between frailty and death was estimated through a binary logistic regression adjusted for age, sex, and cognitive performance.
From the total sample, the mean age was 72.11±8.0 years, and 51.6% were women. Participants presented 2.28±1.4 comorbidities and 25.6% were frail. Mean hospital stay was 5.43±5.6 days. Death occurred in 52 participants, readmission to the emergency in 55, and new disability in 16 after 6 months. Frailty was associated with an odds ratio of 2.18 for death after 6 months (95% CI = 1.10-4.31; p = 0.024). This association lost significance after multivariate analysis taking into account cognitive performance. There was no association between frailty status at baseline and readmission to the ED or disability.
The identification of frailty using the FRAIL at admission was not predictive of death after a 6-month period after discharge from the ED. Simple frailty assessment could identify patients at higher risk for death in the follow-up. |
doi_str_mv | 10.1007/s12603-019-1207-9 |
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The primary outcome was to evaluate the association between frailty identified through the FRAIL questionnaire at baseline and death after a 6-month follow-up period after hospital discharge from the ED. Secondary outcomes were readmission to the ED and disability after 6 months.
A 6-month follow-up prospective study (FASES study) was conducted at a university-based trauma-center ED in Jundiaí, southwestern of Brazil. A total of 316 older adults aged 60 or older were randomly included based on a lottery of their medical record admission number. Frailty was evaluated through the FRAIL questionnaire. The association between frailty and death was estimated through a binary logistic regression adjusted for age, sex, and cognitive performance.
From the total sample, the mean age was 72.11±8.0 years, and 51.6% were women. Participants presented 2.28±1.4 comorbidities and 25.6% were frail. Mean hospital stay was 5.43±5.6 days. Death occurred in 52 participants, readmission to the emergency in 55, and new disability in 16 after 6 months. Frailty was associated with an odds ratio of 2.18 for death after 6 months (95% CI = 1.10-4.31; p = 0.024). This association lost significance after multivariate analysis taking into account cognitive performance. There was no association between frailty status at baseline and readmission to the ED or disability.
The identification of frailty using the FRAIL at admission was not predictive of death after a 6-month period after discharge from the ED. Simple frailty assessment could identify patients at higher risk for death in the follow-up.</description><identifier>EISSN: 1760-4788</identifier><identifier>DOI: 10.1007/s12603-019-1207-9</identifier><identifier>PMID: 31367729</identifier><language>eng</language><publisher>France</publisher><subject><![CDATA[Aged ; Aged, 80 and over ; Brazil ; Comorbidity ; Emergency Service, Hospital - statistics & numerical data ; Female ; Follow-Up Studies ; Frail Elderly - statistics & numerical data ; Frailty - mortality ; Geriatric Assessment - statistics & numerical data ; Hospitalization - statistics & numerical data ; Humans ; Income ; Length of Stay - statistics & numerical data ; Logistic Models ; Male ; Odds Ratio ; Patient Discharge - statistics & numerical data ; Prospective Studies ; Risk Assessment ; Surveys and Questionnaires]]></subject><ispartof>The Journal of nutrition, health & aging, 2019, Vol.23 (7), p.641-647</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27900,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31367729$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Aprahamian, I</creatorcontrib><creatorcontrib>Aricó de Almeida, G V</creatorcontrib><creatorcontrib>de Vasconcellos Romanin, C F</creatorcontrib><creatorcontrib>Gomes Caldas, T</creatorcontrib><creatorcontrib>Antunes Yoshitake, N T</creatorcontrib><creatorcontrib>Bataglini, L</creatorcontrib><creatorcontrib>Mori Lin, S</creatorcontrib><creatorcontrib>Alves Pereira, A</creatorcontrib><creatorcontrib>Nara Alegrini Longhi, L</creatorcontrib><creatorcontrib>Mamoni, R L</creatorcontrib><creatorcontrib>Martinelli, J E</creatorcontrib><title>Frailty Could Predict Death in Older Adults after Admissionat Emergency Department? A 6-month Prospective Study from a Middle-Income Country</title><title>The Journal of nutrition, health & aging</title><addtitle>J Nutr Health Aging</addtitle><description>The number of older adults attending emergency department (ED) is increasing all over the world. Usually, those patients are potentially more complex due to their greater number of comorbidities, cognitive disorders, and functional or physical disabilities. Frailty is a vulnerable state that could predict adverse outcomes of those patients. There are very few studies that addressed this topic in the ED, and none of them used a simple instrument for frailty assessment.
The primary outcome was to evaluate the association between frailty identified through the FRAIL questionnaire at baseline and death after a 6-month follow-up period after hospital discharge from the ED. Secondary outcomes were readmission to the ED and disability after 6 months.
A 6-month follow-up prospective study (FASES study) was conducted at a university-based trauma-center ED in Jundiaí, southwestern of Brazil. A total of 316 older adults aged 60 or older were randomly included based on a lottery of their medical record admission number. Frailty was evaluated through the FRAIL questionnaire. The association between frailty and death was estimated through a binary logistic regression adjusted for age, sex, and cognitive performance.
From the total sample, the mean age was 72.11±8.0 years, and 51.6% were women. Participants presented 2.28±1.4 comorbidities and 25.6% were frail. Mean hospital stay was 5.43±5.6 days. Death occurred in 52 participants, readmission to the emergency in 55, and new disability in 16 after 6 months. Frailty was associated with an odds ratio of 2.18 for death after 6 months (95% CI = 1.10-4.31; p = 0.024). This association lost significance after multivariate analysis taking into account cognitive performance. There was no association between frailty status at baseline and readmission to the ED or disability.
The identification of frailty using the FRAIL at admission was not predictive of death after a 6-month period after discharge from the ED. Simple frailty assessment could identify patients at higher risk for death in the follow-up.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Brazil</subject><subject>Comorbidity</subject><subject>Emergency Service, Hospital - statistics & numerical data</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Frail Elderly - statistics & numerical data</subject><subject>Frailty - mortality</subject><subject>Geriatric Assessment - statistics & numerical data</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Humans</subject><subject>Income</subject><subject>Length of Stay - statistics & numerical data</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Odds Ratio</subject><subject>Patient Discharge - statistics & numerical data</subject><subject>Prospective Studies</subject><subject>Risk Assessment</subject><subject>Surveys and Questionnaires</subject><issn>1760-4788</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1kMFOwzAQRC0kREvhA7ggH7kY7NixkxOqSguVilqJ3ivH3kBQEgfbQco_8NEEKKfVrt7MagahK0ZvGaXqLrBEUk4oywlLqCL5CZoyJSkRKssm6DyEd0pFmmfyDE0441KpJJ-ir5XXVR0HvHB9bfHOg61MxA-g4xuuWrytLXg8t30dA9Zl_F2aKoTKtTriZQP-FVozjIpO-9hAG-_xHEvSuHZ02HkXOjCx-gT8Ens74NK7Bmv8XFlbA1m3xjXw87yNfrhAp6WuA1we5wztV8v94olsto_rxXxDulTmJLGQ0pJxY8tcg6AiT3iuxmNhgAuTUimylLKCc6GLMgPJeaozxUqltMiKhM_QzZ9t591HDyEexkAG6lq34PpwSJKxHKE4y0b0-oj2RQP20Pmq0X44_BfIvwFiBHG8</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Aprahamian, I</creator><creator>Aricó de Almeida, G V</creator><creator>de Vasconcellos Romanin, C F</creator><creator>Gomes Caldas, T</creator><creator>Antunes Yoshitake, N T</creator><creator>Bataglini, L</creator><creator>Mori Lin, S</creator><creator>Alves Pereira, A</creator><creator>Nara Alegrini Longhi, L</creator><creator>Mamoni, R L</creator><creator>Martinelli, J E</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>2019</creationdate><title>Frailty Could Predict Death in Older Adults after Admissionat Emergency Department? A 6-month Prospective Study from a Middle-Income Country</title><author>Aprahamian, I ; Aricó de Almeida, G V ; de Vasconcellos Romanin, C F ; Gomes Caldas, T ; Antunes Yoshitake, N T ; Bataglini, L ; Mori Lin, S ; Alves Pereira, A ; Nara Alegrini Longhi, L ; Mamoni, R L ; Martinelli, J E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p569-2de50f13cdf9ae40492397de5bce34c50648501b334abf8e6335a871f77a48b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Brazil</topic><topic>Comorbidity</topic><topic>Emergency Service, Hospital - statistics & numerical data</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Frail Elderly - statistics & numerical data</topic><topic>Frailty - mortality</topic><topic>Geriatric Assessment - statistics & numerical data</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Humans</topic><topic>Income</topic><topic>Length of Stay - statistics & numerical data</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Odds Ratio</topic><topic>Patient Discharge - statistics & numerical data</topic><topic>Prospective Studies</topic><topic>Risk Assessment</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aprahamian, I</creatorcontrib><creatorcontrib>Aricó de Almeida, G V</creatorcontrib><creatorcontrib>de Vasconcellos Romanin, C F</creatorcontrib><creatorcontrib>Gomes Caldas, T</creatorcontrib><creatorcontrib>Antunes Yoshitake, N T</creatorcontrib><creatorcontrib>Bataglini, L</creatorcontrib><creatorcontrib>Mori Lin, S</creatorcontrib><creatorcontrib>Alves Pereira, A</creatorcontrib><creatorcontrib>Nara Alegrini Longhi, L</creatorcontrib><creatorcontrib>Mamoni, R L</creatorcontrib><creatorcontrib>Martinelli, J E</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of nutrition, health & aging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aprahamian, I</au><au>Aricó de Almeida, G V</au><au>de Vasconcellos Romanin, C F</au><au>Gomes Caldas, T</au><au>Antunes Yoshitake, N T</au><au>Bataglini, L</au><au>Mori Lin, S</au><au>Alves Pereira, A</au><au>Nara Alegrini Longhi, L</au><au>Mamoni, R L</au><au>Martinelli, J E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Frailty Could Predict Death in Older Adults after Admissionat Emergency Department? A 6-month Prospective Study from a Middle-Income Country</atitle><jtitle>The Journal of nutrition, health & aging</jtitle><addtitle>J Nutr Health Aging</addtitle><date>2019</date><risdate>2019</risdate><volume>23</volume><issue>7</issue><spage>641</spage><epage>647</epage><pages>641-647</pages><eissn>1760-4788</eissn><abstract>The number of older adults attending emergency department (ED) is increasing all over the world. Usually, those patients are potentially more complex due to their greater number of comorbidities, cognitive disorders, and functional or physical disabilities. Frailty is a vulnerable state that could predict adverse outcomes of those patients. There are very few studies that addressed this topic in the ED, and none of them used a simple instrument for frailty assessment.
The primary outcome was to evaluate the association between frailty identified through the FRAIL questionnaire at baseline and death after a 6-month follow-up period after hospital discharge from the ED. Secondary outcomes were readmission to the ED and disability after 6 months.
A 6-month follow-up prospective study (FASES study) was conducted at a university-based trauma-center ED in Jundiaí, southwestern of Brazil. A total of 316 older adults aged 60 or older were randomly included based on a lottery of their medical record admission number. Frailty was evaluated through the FRAIL questionnaire. The association between frailty and death was estimated through a binary logistic regression adjusted for age, sex, and cognitive performance.
From the total sample, the mean age was 72.11±8.0 years, and 51.6% were women. Participants presented 2.28±1.4 comorbidities and 25.6% were frail. Mean hospital stay was 5.43±5.6 days. Death occurred in 52 participants, readmission to the emergency in 55, and new disability in 16 after 6 months. Frailty was associated with an odds ratio of 2.18 for death after 6 months (95% CI = 1.10-4.31; p = 0.024). This association lost significance after multivariate analysis taking into account cognitive performance. There was no association between frailty status at baseline and readmission to the ED or disability.
The identification of frailty using the FRAIL at admission was not predictive of death after a 6-month period after discharge from the ED. Simple frailty assessment could identify patients at higher risk for death in the follow-up.</abstract><cop>France</cop><pmid>31367729</pmid><doi>10.1007/s12603-019-1207-9</doi><tpages>7</tpages></addata></record> |
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subjects | Aged Aged, 80 and over Brazil Comorbidity Emergency Service, Hospital - statistics & numerical data Female Follow-Up Studies Frail Elderly - statistics & numerical data Frailty - mortality Geriatric Assessment - statistics & numerical data Hospitalization - statistics & numerical data Humans Income Length of Stay - statistics & numerical data Logistic Models Male Odds Ratio Patient Discharge - statistics & numerical data Prospective Studies Risk Assessment Surveys and Questionnaires |
title | Frailty Could Predict Death in Older Adults after Admissionat Emergency Department? A 6-month Prospective Study from a Middle-Income Country |
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