Development and validation of a modified Frailty Risk Index as a predictor of mortality in rural elderly people

Background. Frailty is a reversible age-related condition characterised by declines across multiple physiologic systems and associated with an increased risk of mortality or unplanned hospitalisation. We developed and validated a new frailty index that is easy to apply in elderly people in rural Ind...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Asian Journal of Gerontology and Geriatrics 2019-06, Vol.14 (1), p.15-22
Hauptverfasser: Kumar, Sunil, Jain, Shraddha, Wanjari, Anil, Mandal, Syamsunder
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 22
container_issue 1
container_start_page 15
container_title Asian Journal of Gerontology and Geriatrics
container_volume 14
creator Kumar, Sunil
Jain, Shraddha
Wanjari, Anil
Mandal, Syamsunder
description Background. Frailty is a reversible age-related condition characterised by declines across multiple physiologic systems and associated with an increased risk of mortality or unplanned hospitalisation. We developed and validated a new frailty index that is easy to apply in elderly people in rural India and has predictive accuracy for all-cause mortality at 6 and 12 months. Methods. 1000 participants aged >60 years who were admitted to a geriatric unit of a rural hospital for screening or treatment of any illness were recruited for development and validation of the Frailty Index in Rural Elderly - Mental status, Activities of daily living, Depression, and Events (FIRE-MADE), which combines the Cumulative Deficits Model and the Comprehensive Geriatric Assessment Model and takes into account of four domains: physical, cognitive, psychosocial, and functional. Results. The FIRE-MADE score increased with age and was higher in men than in women. Higher FIRE-MADE score was associated with higher rates of mortality and unplanned hospitalisation. In multivariable analysis, predictors for mortality were Mini-Mental State Examination, activities of daily living, ischaemic heart disease, history of stroke, and polypharmacy. In Kaplan-Meier survival analysis, 4.9%, 7.1%, and 16.7% of participants with mild (FIRE-MADE score, 0.3-0.4), moderate (0.5-0.6), and severe (>0.7) frailty died at the end of 1 year. The cut-off values for mortality and unplanned hospitalisation were 0.32 and 0.27, respectively, with the area under the receiver operating characteristic curve for the severity being 0.883 and 0.794, respectively. Compared with the Longitudinal Aging Study Amsterdam frailty index score in predicting mortality and unplanned hospitalisation, the FIRE-MADE score had positive predictive values of 88.89% and 88.89%, respectively, and negative predictive values of 65.93% and 41.10%, respectively. Association between the two indices was strong. Conclusions. FIRE-MADE is easy to apply in clinical practice as a screening tool to detect frailty in elderly people in rural India.
doi_str_mv 10.12809/ajgg-2018-315-oa
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2558153673</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2558153673</sourcerecordid><originalsourceid>FETCH-LOGICAL-c231a-f4d8fb6b173ed9572f70612c145f1b9b15af0a19fa0f432d20b2b981865d0bc63</originalsourceid><addsrcrecordid>eNpNkE1LAzEURYMoWGp_gLuA69G8pJmPpVRrCwVBdB3eTJKSmpmMybTYf-_UuvBt7lsc7oVDyC2we-Alqx5wt91mnEGZCZBZwAsygRKqDGSRX_77r8kspR0bL2ecCZiQ8GQOxoe-Nd1AsdP0gN5pHFzoaLAUaRu0s85ouozo_HCkby590nWnzTfFNAJ9NNo1Q4gnvg1xGAtGzHU07iN6arw20R9pb0LvzQ25suiTmf3llHwsn98Xq2zz-rJePG6yhgvAzM51aeu8hkIYXcmC24LlwBuYSwt1VYNEyxAqi8zOBdec1byuSihzqVnd5GJK7s69fQxfe5MGtQv72I2TiktZghR5IUYKzlQTQ0rRWNVH12I8KmDqV606qVUntWpUqwKKH5BEbkE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2558153673</pqid></control><display><type>article</type><title>Development and validation of a modified Frailty Risk Index as a predictor of mortality in rural elderly people</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Kumar, Sunil ; Jain, Shraddha ; Wanjari, Anil ; Mandal, Syamsunder</creator><creatorcontrib>Kumar, Sunil ; Jain, Shraddha ; Wanjari, Anil ; Mandal, Syamsunder</creatorcontrib><description>Background. Frailty is a reversible age-related condition characterised by declines across multiple physiologic systems and associated with an increased risk of mortality or unplanned hospitalisation. We developed and validated a new frailty index that is easy to apply in elderly people in rural India and has predictive accuracy for all-cause mortality at 6 and 12 months. Methods. 1000 participants aged &gt;60 years who were admitted to a geriatric unit of a rural hospital for screening or treatment of any illness were recruited for development and validation of the Frailty Index in Rural Elderly - Mental status, Activities of daily living, Depression, and Events (FIRE-MADE), which combines the Cumulative Deficits Model and the Comprehensive Geriatric Assessment Model and takes into account of four domains: physical, cognitive, psychosocial, and functional. Results. The FIRE-MADE score increased with age and was higher in men than in women. Higher FIRE-MADE score was associated with higher rates of mortality and unplanned hospitalisation. In multivariable analysis, predictors for mortality were Mini-Mental State Examination, activities of daily living, ischaemic heart disease, history of stroke, and polypharmacy. In Kaplan-Meier survival analysis, 4.9%, 7.1%, and 16.7% of participants with mild (FIRE-MADE score, 0.3-0.4), moderate (0.5-0.6), and severe (&gt;0.7) frailty died at the end of 1 year. The cut-off values for mortality and unplanned hospitalisation were 0.32 and 0.27, respectively, with the area under the receiver operating characteristic curve for the severity being 0.883 and 0.794, respectively. Compared with the Longitudinal Aging Study Amsterdam frailty index score in predicting mortality and unplanned hospitalisation, the FIRE-MADE score had positive predictive values of 88.89% and 88.89%, respectively, and negative predictive values of 65.93% and 41.10%, respectively. Association between the two indices was strong. Conclusions. FIRE-MADE is easy to apply in clinical practice as a screening tool to detect frailty in elderly people in rural India.</description><identifier>ISSN: 1819-1576</identifier><identifier>EISSN: 1819-1576</identifier><identifier>DOI: 10.12809/ajgg-2018-315-oa</identifier><language>eng</language><publisher>Hong Kong: Hong Kong Academy of Medicine</publisher><subject>Activities of daily living ; Age ; Asthma ; Cardiovascular disease ; Chronic obstructive pulmonary disease ; Diabetes ; Disability ; Frailty ; Geriatrics ; Health promotion ; Heart ; Hospitals ; Ischemia ; Mental depression ; Mortality ; Older people ; Polypharmacy ; Primary care ; Statistical analysis ; Stroke ; Survival analysis ; Validity ; Variables</subject><ispartof>Asian Journal of Gerontology and Geriatrics, 2019-06, Vol.14 (1), p.15-22</ispartof><rights>2019. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c231a-f4d8fb6b173ed9572f70612c145f1b9b15af0a19fa0f432d20b2b981865d0bc63</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Kumar, Sunil</creatorcontrib><creatorcontrib>Jain, Shraddha</creatorcontrib><creatorcontrib>Wanjari, Anil</creatorcontrib><creatorcontrib>Mandal, Syamsunder</creatorcontrib><title>Development and validation of a modified Frailty Risk Index as a predictor of mortality in rural elderly people</title><title>Asian Journal of Gerontology and Geriatrics</title><description>Background. Frailty is a reversible age-related condition characterised by declines across multiple physiologic systems and associated with an increased risk of mortality or unplanned hospitalisation. We developed and validated a new frailty index that is easy to apply in elderly people in rural India and has predictive accuracy for all-cause mortality at 6 and 12 months. Methods. 1000 participants aged &gt;60 years who were admitted to a geriatric unit of a rural hospital for screening or treatment of any illness were recruited for development and validation of the Frailty Index in Rural Elderly - Mental status, Activities of daily living, Depression, and Events (FIRE-MADE), which combines the Cumulative Deficits Model and the Comprehensive Geriatric Assessment Model and takes into account of four domains: physical, cognitive, psychosocial, and functional. Results. The FIRE-MADE score increased with age and was higher in men than in women. Higher FIRE-MADE score was associated with higher rates of mortality and unplanned hospitalisation. In multivariable analysis, predictors for mortality were Mini-Mental State Examination, activities of daily living, ischaemic heart disease, history of stroke, and polypharmacy. In Kaplan-Meier survival analysis, 4.9%, 7.1%, and 16.7% of participants with mild (FIRE-MADE score, 0.3-0.4), moderate (0.5-0.6), and severe (&gt;0.7) frailty died at the end of 1 year. The cut-off values for mortality and unplanned hospitalisation were 0.32 and 0.27, respectively, with the area under the receiver operating characteristic curve for the severity being 0.883 and 0.794, respectively. Compared with the Longitudinal Aging Study Amsterdam frailty index score in predicting mortality and unplanned hospitalisation, the FIRE-MADE score had positive predictive values of 88.89% and 88.89%, respectively, and negative predictive values of 65.93% and 41.10%, respectively. Association between the two indices was strong. Conclusions. FIRE-MADE is easy to apply in clinical practice as a screening tool to detect frailty in elderly people in rural India.</description><subject>Activities of daily living</subject><subject>Age</subject><subject>Asthma</subject><subject>Cardiovascular disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Diabetes</subject><subject>Disability</subject><subject>Frailty</subject><subject>Geriatrics</subject><subject>Health promotion</subject><subject>Heart</subject><subject>Hospitals</subject><subject>Ischemia</subject><subject>Mental depression</subject><subject>Mortality</subject><subject>Older people</subject><subject>Polypharmacy</subject><subject>Primary care</subject><subject>Statistical analysis</subject><subject>Stroke</subject><subject>Survival analysis</subject><subject>Validity</subject><subject>Variables</subject><issn>1819-1576</issn><issn>1819-1576</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkE1LAzEURYMoWGp_gLuA69G8pJmPpVRrCwVBdB3eTJKSmpmMybTYf-_UuvBt7lsc7oVDyC2we-Alqx5wt91mnEGZCZBZwAsygRKqDGSRX_77r8kspR0bL2ecCZiQ8GQOxoe-Nd1AsdP0gN5pHFzoaLAUaRu0s85ouozo_HCkby590nWnzTfFNAJ9NNo1Q4gnvg1xGAtGzHU07iN6arw20R9pb0LvzQ25suiTmf3llHwsn98Xq2zz-rJePG6yhgvAzM51aeu8hkIYXcmC24LlwBuYSwt1VYNEyxAqi8zOBdec1byuSihzqVnd5GJK7s69fQxfe5MGtQv72I2TiktZghR5IUYKzlQTQ0rRWNVH12I8KmDqV606qVUntWpUqwKKH5BEbkE</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Kumar, Sunil</creator><creator>Jain, Shraddha</creator><creator>Wanjari, Anil</creator><creator>Mandal, Syamsunder</creator><general>Hong Kong Academy of Medicine</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>KB0</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20190601</creationdate><title>Development and validation of a modified Frailty Risk Index as a predictor of mortality in rural elderly people</title><author>Kumar, Sunil ; Jain, Shraddha ; Wanjari, Anil ; Mandal, Syamsunder</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c231a-f4d8fb6b173ed9572f70612c145f1b9b15af0a19fa0f432d20b2b981865d0bc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Activities of daily living</topic><topic>Age</topic><topic>Asthma</topic><topic>Cardiovascular disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Diabetes</topic><topic>Disability</topic><topic>Frailty</topic><topic>Geriatrics</topic><topic>Health promotion</topic><topic>Heart</topic><topic>Hospitals</topic><topic>Ischemia</topic><topic>Mental depression</topic><topic>Mortality</topic><topic>Older people</topic><topic>Polypharmacy</topic><topic>Primary care</topic><topic>Statistical analysis</topic><topic>Stroke</topic><topic>Survival analysis</topic><topic>Validity</topic><topic>Variables</topic><toplevel>online_resources</toplevel><creatorcontrib>Kumar, Sunil</creatorcontrib><creatorcontrib>Jain, Shraddha</creatorcontrib><creatorcontrib>Wanjari, Anil</creatorcontrib><creatorcontrib>Mandal, Syamsunder</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Asian Journal of Gerontology and Geriatrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kumar, Sunil</au><au>Jain, Shraddha</au><au>Wanjari, Anil</au><au>Mandal, Syamsunder</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and validation of a modified Frailty Risk Index as a predictor of mortality in rural elderly people</atitle><jtitle>Asian Journal of Gerontology and Geriatrics</jtitle><date>2019-06-01</date><risdate>2019</risdate><volume>14</volume><issue>1</issue><spage>15</spage><epage>22</epage><pages>15-22</pages><issn>1819-1576</issn><eissn>1819-1576</eissn><abstract>Background. Frailty is a reversible age-related condition characterised by declines across multiple physiologic systems and associated with an increased risk of mortality or unplanned hospitalisation. We developed and validated a new frailty index that is easy to apply in elderly people in rural India and has predictive accuracy for all-cause mortality at 6 and 12 months. Methods. 1000 participants aged &gt;60 years who were admitted to a geriatric unit of a rural hospital for screening or treatment of any illness were recruited for development and validation of the Frailty Index in Rural Elderly - Mental status, Activities of daily living, Depression, and Events (FIRE-MADE), which combines the Cumulative Deficits Model and the Comprehensive Geriatric Assessment Model and takes into account of four domains: physical, cognitive, psychosocial, and functional. Results. The FIRE-MADE score increased with age and was higher in men than in women. Higher FIRE-MADE score was associated with higher rates of mortality and unplanned hospitalisation. In multivariable analysis, predictors for mortality were Mini-Mental State Examination, activities of daily living, ischaemic heart disease, history of stroke, and polypharmacy. In Kaplan-Meier survival analysis, 4.9%, 7.1%, and 16.7% of participants with mild (FIRE-MADE score, 0.3-0.4), moderate (0.5-0.6), and severe (&gt;0.7) frailty died at the end of 1 year. The cut-off values for mortality and unplanned hospitalisation were 0.32 and 0.27, respectively, with the area under the receiver operating characteristic curve for the severity being 0.883 and 0.794, respectively. Compared with the Longitudinal Aging Study Amsterdam frailty index score in predicting mortality and unplanned hospitalisation, the FIRE-MADE score had positive predictive values of 88.89% and 88.89%, respectively, and negative predictive values of 65.93% and 41.10%, respectively. Association between the two indices was strong. Conclusions. FIRE-MADE is easy to apply in clinical practice as a screening tool to detect frailty in elderly people in rural India.</abstract><cop>Hong Kong</cop><pub>Hong Kong Academy of Medicine</pub><doi>10.12809/ajgg-2018-315-oa</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1819-1576
ispartof Asian Journal of Gerontology and Geriatrics, 2019-06, Vol.14 (1), p.15-22
issn 1819-1576
1819-1576
language eng
recordid cdi_proquest_journals_2558153673
source EZB-FREE-00999 freely available EZB journals
subjects Activities of daily living
Age
Asthma
Cardiovascular disease
Chronic obstructive pulmonary disease
Diabetes
Disability
Frailty
Geriatrics
Health promotion
Heart
Hospitals
Ischemia
Mental depression
Mortality
Older people
Polypharmacy
Primary care
Statistical analysis
Stroke
Survival analysis
Validity
Variables
title Development and validation of a modified Frailty Risk Index as a predictor of mortality in rural elderly people
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T15%3A22%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20and%20validation%20of%20a%20modified%20Frailty%20Risk%20Index%20as%20a%20predictor%20of%20mortality%20in%20rural%20elderly%20people&rft.jtitle=Asian%20Journal%20of%20Gerontology%20and%20Geriatrics&rft.au=Kumar,%20Sunil&rft.date=2019-06-01&rft.volume=14&rft.issue=1&rft.spage=15&rft.epage=22&rft.pages=15-22&rft.issn=1819-1576&rft.eissn=1819-1576&rft_id=info:doi/10.12809/ajgg-2018-315-oa&rft_dat=%3Cproquest_cross%3E2558153673%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2558153673&rft_id=info:pmid/&rfr_iscdi=true