Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden
Frailty assessment in the Swedish health system relies on the Clinical Frailty Scale (CFS), but it requires training, in-person evaluation, and is often missing in medical records. We aimed to develop an electronic frailty index (eFI) from routinely collected electronic health records (EHRs) and ass...
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Veröffentlicht in: | The journals of gerontology. Series A, Biological sciences and medical sciences Biological sciences and medical sciences, 2022-11, Vol.77 (11), p.2311-2319 |
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creator | Mak, Jonathan K L Hägg, Sara Eriksdotter, Maria Annetorp, Martin Kuja-Halkola, Ralf Kananen, Laura Boström, Anne-Marie Kivipelto, Miia Metzner, Carina Bäck Jerlardtz, Viktoria Engström, Malin Johnson, Peter Lundberg, Lars Göran Åkesson, Elisabet Sühl Öberg, Carina Olsson, Maria Cederholm, Tommy Jylhävä, Juulia Religa, Dorota |
description | Frailty assessment in the Swedish health system relies on the Clinical Frailty Scale (CFS), but it requires training, in-person evaluation, and is often missing in medical records. We aimed to develop an electronic frailty index (eFI) from routinely collected electronic health records (EHRs) and assess its association with adverse outcomes in hospitalized older adults.
EHRs were extracted for 18 225 patients with unplanned admissions between 1 March 2020 and 17 June 2021 from 9 geriatric clinics in Stockholm, Sweden. A 48-item eFI was constructed using diagnostic codes, functioning and other health indicators, and laboratory data. The CFS, Hospital Frailty Risk Score, and Charlson Comorbidity Index were used for comparative assessment of the eFI. We modeled in-hospital mortality and 30-day readmission using logistic regression; 30-day and 6-month mortality using Cox regression; and length of stay using linear regression.
Thirteen thousand one hundred and eighty-eight patients were included in analyses (mean age 83.1 years). A 0.03 increment in the eFI was associated with higher risks of in-hospital (odds ratio: 1.65; 95% confidence interval: 1.54-1.78), 30-day (hazard ratio [HR]: 1.43; 1.38-1.48), and 6-month mortality (HR: 1.34; 1.31-1.37) adjusted for age and sex. Of the frailty and comorbidity measures, the eFI had the highest area under receiver operating characteristic curve for in-hospital mortality of 0.813. Higher eFI was associated with longer length of stay, but had a rather poor discrimination for 30-day readmission.
An EHR-based eFI has robust associations with adverse outcomes, suggesting that it can be used in risk stratification in hospitalized older adults. |
doi_str_mv | 10.1093/gerona/glac069 |
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EHRs were extracted for 18 225 patients with unplanned admissions between 1 March 2020 and 17 June 2021 from 9 geriatric clinics in Stockholm, Sweden. A 48-item eFI was constructed using diagnostic codes, functioning and other health indicators, and laboratory data. The CFS, Hospital Frailty Risk Score, and Charlson Comorbidity Index were used for comparative assessment of the eFI. We modeled in-hospital mortality and 30-day readmission using logistic regression; 30-day and 6-month mortality using Cox regression; and length of stay using linear regression.
Thirteen thousand one hundred and eighty-eight patients were included in analyses (mean age 83.1 years). A 0.03 increment in the eFI was associated with higher risks of in-hospital (odds ratio: 1.65; 95% confidence interval: 1.54-1.78), 30-day (hazard ratio [HR]: 1.43; 1.38-1.48), and 6-month mortality (HR: 1.34; 1.31-1.37) adjusted for age and sex. Of the frailty and comorbidity measures, the eFI had the highest area under receiver operating characteristic curve for in-hospital mortality of 0.813. Higher eFI was associated with longer length of stay, but had a rather poor discrimination for 30-day readmission.
An EHR-based eFI has robust associations with adverse outcomes, suggesting that it can be used in risk stratification in hospitalized older adults.</description><identifier>ISSN: 1079-5006</identifier><identifier>ISSN: 1758-535X</identifier><identifier>EISSN: 1758-535X</identifier><identifier>DOI: 10.1093/gerona/glac069</identifier><identifier>PMID: 35303746</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Aged ; Aged, 80 and over ; Clinical outcomes ; Comorbidity ; Electronic frailty index ; Electronic health records ; Electronic medical records ; Electronics ; Frail Elderly ; Frailty ; Frailty - diagnosis ; Frailty - epidemiology ; Geriatric Assessment ; Geriatrics ; Hospitalization ; Humans ; Mortality ; Older people ; Patients ; Retrospective Studies ; Sweden - epidemiology ; THE JOURNAL OF GERONTOLOGY: Medical Sciences</subject><ispartof>The journals of gerontology. Series A, Biological sciences and medical sciences, 2022-11, Vol.77 (11), p.2311-2319</ispartof><rights>The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America.</rights><rights>Copyright Oxford University Press Nov 2022</rights><rights>The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-96692fb0621289838f45ebc6d7032b3171b6d3a088412eb333c617f8433a9cf63</citedby><cites>FETCH-LOGICAL-c493t-96692fb0621289838f45ebc6d7032b3171b6d3a088412eb333c617f8433a9cf63</cites><orcidid>0000-0002-3765-2067 ; 0000-0003-0250-4491 ; 0000-0002-2452-1500 ; 0000-0003-4454-8580</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,550,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35303746$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-502559$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:149353767$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Lipsitz, Lewis A</contributor><creatorcontrib>Mak, Jonathan K L</creatorcontrib><creatorcontrib>Hägg, Sara</creatorcontrib><creatorcontrib>Eriksdotter, Maria</creatorcontrib><creatorcontrib>Annetorp, Martin</creatorcontrib><creatorcontrib>Kuja-Halkola, Ralf</creatorcontrib><creatorcontrib>Kananen, Laura</creatorcontrib><creatorcontrib>Boström, Anne-Marie</creatorcontrib><creatorcontrib>Kivipelto, Miia</creatorcontrib><creatorcontrib>Metzner, Carina</creatorcontrib><creatorcontrib>Bäck Jerlardtz, Viktoria</creatorcontrib><creatorcontrib>Engström, Malin</creatorcontrib><creatorcontrib>Johnson, Peter</creatorcontrib><creatorcontrib>Lundberg, Lars Göran</creatorcontrib><creatorcontrib>Åkesson, Elisabet</creatorcontrib><creatorcontrib>Sühl Öberg, Carina</creatorcontrib><creatorcontrib>Olsson, Maria</creatorcontrib><creatorcontrib>Cederholm, Tommy</creatorcontrib><creatorcontrib>Jylhävä, Juulia</creatorcontrib><creatorcontrib>Religa, Dorota</creatorcontrib><title>Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden</title><title>The journals of gerontology. Series A, Biological sciences and medical sciences</title><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><description>Frailty assessment in the Swedish health system relies on the Clinical Frailty Scale (CFS), but it requires training, in-person evaluation, and is often missing in medical records. We aimed to develop an electronic frailty index (eFI) from routinely collected electronic health records (EHRs) and assess its association with adverse outcomes in hospitalized older adults.
EHRs were extracted for 18 225 patients with unplanned admissions between 1 March 2020 and 17 June 2021 from 9 geriatric clinics in Stockholm, Sweden. A 48-item eFI was constructed using diagnostic codes, functioning and other health indicators, and laboratory data. The CFS, Hospital Frailty Risk Score, and Charlson Comorbidity Index were used for comparative assessment of the eFI. We modeled in-hospital mortality and 30-day readmission using logistic regression; 30-day and 6-month mortality using Cox regression; and length of stay using linear regression.
Thirteen thousand one hundred and eighty-eight patients were included in analyses (mean age 83.1 years). A 0.03 increment in the eFI was associated with higher risks of in-hospital (odds ratio: 1.65; 95% confidence interval: 1.54-1.78), 30-day (hazard ratio [HR]: 1.43; 1.38-1.48), and 6-month mortality (HR: 1.34; 1.31-1.37) adjusted for age and sex. Of the frailty and comorbidity measures, the eFI had the highest area under receiver operating characteristic curve for in-hospital mortality of 0.813. Higher eFI was associated with longer length of stay, but had a rather poor discrimination for 30-day readmission.
An EHR-based eFI has robust associations with adverse outcomes, suggesting that it can be used in risk stratification in hospitalized older adults.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Clinical outcomes</subject><subject>Comorbidity</subject><subject>Electronic frailty index</subject><subject>Electronic health records</subject><subject>Electronic medical records</subject><subject>Electronics</subject><subject>Frail Elderly</subject><subject>Frailty</subject><subject>Frailty - diagnosis</subject><subject>Frailty - epidemiology</subject><subject>Geriatric Assessment</subject><subject>Geriatrics</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Mortality</subject><subject>Older people</subject><subject>Patients</subject><subject>Retrospective Studies</subject><subject>Sweden - epidemiology</subject><subject>THE JOURNAL OF GERONTOLOGY: Medical Sciences</subject><issn>1079-5006</issn><issn>1758-535X</issn><issn>1758-535X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNp1ks1vFSEUxSdGY2t169KQuHHhtMAFZtiYvPTDNmnSxK-4Iwxz50nlDU-Yaa1_vby8Z2NNZMMN_O7J5XCq6iWjh4xqOFpiiqM9WgbrqNKPqn3WyLaWIL8-LjVtdC0pVXvVs5yv6WZJ_rTaAwkUGqH2qw8neIMhrlc4TiQOxI7kNKCbiqp35CxZH6Y7cjH2-JMMMZHzmNd-ssH_wp5chR4TWfRzmDLxI_l4iz2Oz6sngw0ZX-z2g-rz2emn4_P68ur9xfHisnZCw1RrpTQfOqo4461uoR2ExM6pvqHAO2AN61QPlratYBw7AHCKNUMrAKx2g4KDqt7q5ltcz51ZJ7-y6c5E683u6Hup0AgplNaFf_tf_sR_WZiYlmaejaRcyg3-bosXdoW9KwYlGx50PbwZ_TezjDdGq6blVBSBNzuBFH_MmCez8tlhCHbEOGfDlaBaCwptQV__g17HOY3FPcMb0KLhxY9CHW4pl2LOCYf7YRg1mzSYbRrMLg2l4dXfT7jH_3w__AYPZLMI</recordid><startdate>20221121</startdate><enddate>20221121</enddate><creator>Mak, Jonathan K L</creator><creator>Hägg, Sara</creator><creator>Eriksdotter, Maria</creator><creator>Annetorp, Martin</creator><creator>Kuja-Halkola, Ralf</creator><creator>Kananen, Laura</creator><creator>Boström, Anne-Marie</creator><creator>Kivipelto, Miia</creator><creator>Metzner, Carina</creator><creator>Bäck Jerlardtz, Viktoria</creator><creator>Engström, Malin</creator><creator>Johnson, Peter</creator><creator>Lundberg, Lars Göran</creator><creator>Åkesson, Elisabet</creator><creator>Sühl Öberg, Carina</creator><creator>Olsson, Maria</creator><creator>Cederholm, Tommy</creator><creator>Jylhävä, Juulia</creator><creator>Religa, Dorota</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><scope>ACNBI</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>DF2</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-3765-2067</orcidid><orcidid>https://orcid.org/0000-0003-0250-4491</orcidid><orcidid>https://orcid.org/0000-0002-2452-1500</orcidid><orcidid>https://orcid.org/0000-0003-4454-8580</orcidid></search><sort><creationdate>20221121</creationdate><title>Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden</title><author>Mak, Jonathan K L ; Hägg, Sara ; Eriksdotter, Maria ; Annetorp, Martin ; Kuja-Halkola, Ralf ; Kananen, Laura ; Boström, Anne-Marie ; Kivipelto, Miia ; Metzner, Carina ; Bäck Jerlardtz, Viktoria ; Engström, Malin ; Johnson, Peter ; Lundberg, Lars Göran ; Åkesson, Elisabet ; Sühl Öberg, Carina ; Olsson, Maria ; Cederholm, Tommy ; Jylhävä, Juulia ; Religa, Dorota</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-96692fb0621289838f45ebc6d7032b3171b6d3a088412eb333c617f8433a9cf63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Clinical outcomes</topic><topic>Comorbidity</topic><topic>Electronic frailty index</topic><topic>Electronic health records</topic><topic>Electronic medical records</topic><topic>Electronics</topic><topic>Frail Elderly</topic><topic>Frailty</topic><topic>Frailty - diagnosis</topic><topic>Frailty - epidemiology</topic><topic>Geriatric Assessment</topic><topic>Geriatrics</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Mortality</topic><topic>Older people</topic><topic>Patients</topic><topic>Retrospective Studies</topic><topic>Sweden - epidemiology</topic><topic>THE JOURNAL OF GERONTOLOGY: Medical Sciences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mak, Jonathan K L</creatorcontrib><creatorcontrib>Hägg, Sara</creatorcontrib><creatorcontrib>Eriksdotter, Maria</creatorcontrib><creatorcontrib>Annetorp, Martin</creatorcontrib><creatorcontrib>Kuja-Halkola, Ralf</creatorcontrib><creatorcontrib>Kananen, Laura</creatorcontrib><creatorcontrib>Boström, Anne-Marie</creatorcontrib><creatorcontrib>Kivipelto, Miia</creatorcontrib><creatorcontrib>Metzner, Carina</creatorcontrib><creatorcontrib>Bäck Jerlardtz, Viktoria</creatorcontrib><creatorcontrib>Engström, Malin</creatorcontrib><creatorcontrib>Johnson, Peter</creatorcontrib><creatorcontrib>Lundberg, Lars Göran</creatorcontrib><creatorcontrib>Åkesson, Elisabet</creatorcontrib><creatorcontrib>Sühl Öberg, Carina</creatorcontrib><creatorcontrib>Olsson, Maria</creatorcontrib><creatorcontrib>Cederholm, Tommy</creatorcontrib><creatorcontrib>Jylhävä, Juulia</creatorcontrib><creatorcontrib>Religa, Dorota</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SWEPUB Uppsala universitet full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Uppsala universitet</collection><collection>SwePub Articles full text</collection><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mak, Jonathan K L</au><au>Hägg, Sara</au><au>Eriksdotter, Maria</au><au>Annetorp, Martin</au><au>Kuja-Halkola, Ralf</au><au>Kananen, Laura</au><au>Boström, Anne-Marie</au><au>Kivipelto, Miia</au><au>Metzner, Carina</au><au>Bäck Jerlardtz, Viktoria</au><au>Engström, Malin</au><au>Johnson, Peter</au><au>Lundberg, Lars Göran</au><au>Åkesson, Elisabet</au><au>Sühl Öberg, Carina</au><au>Olsson, Maria</au><au>Cederholm, Tommy</au><au>Jylhävä, Juulia</au><au>Religa, Dorota</au><au>Lipsitz, Lewis A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden</atitle><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><date>2022-11-21</date><risdate>2022</risdate><volume>77</volume><issue>11</issue><spage>2311</spage><epage>2319</epage><pages>2311-2319</pages><issn>1079-5006</issn><issn>1758-535X</issn><eissn>1758-535X</eissn><abstract>Frailty assessment in the Swedish health system relies on the Clinical Frailty Scale (CFS), but it requires training, in-person evaluation, and is often missing in medical records. We aimed to develop an electronic frailty index (eFI) from routinely collected electronic health records (EHRs) and assess its association with adverse outcomes in hospitalized older adults.
EHRs were extracted for 18 225 patients with unplanned admissions between 1 March 2020 and 17 June 2021 from 9 geriatric clinics in Stockholm, Sweden. A 48-item eFI was constructed using diagnostic codes, functioning and other health indicators, and laboratory data. The CFS, Hospital Frailty Risk Score, and Charlson Comorbidity Index were used for comparative assessment of the eFI. We modeled in-hospital mortality and 30-day readmission using logistic regression; 30-day and 6-month mortality using Cox regression; and length of stay using linear regression.
Thirteen thousand one hundred and eighty-eight patients were included in analyses (mean age 83.1 years). A 0.03 increment in the eFI was associated with higher risks of in-hospital (odds ratio: 1.65; 95% confidence interval: 1.54-1.78), 30-day (hazard ratio [HR]: 1.43; 1.38-1.48), and 6-month mortality (HR: 1.34; 1.31-1.37) adjusted for age and sex. Of the frailty and comorbidity measures, the eFI had the highest area under receiver operating characteristic curve for in-hospital mortality of 0.813. Higher eFI was associated with longer length of stay, but had a rather poor discrimination for 30-day readmission.
An EHR-based eFI has robust associations with adverse outcomes, suggesting that it can be used in risk stratification in hospitalized older adults.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>35303746</pmid><doi>10.1093/gerona/glac069</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-3765-2067</orcidid><orcidid>https://orcid.org/0000-0003-0250-4491</orcidid><orcidid>https://orcid.org/0000-0002-2452-1500</orcidid><orcidid>https://orcid.org/0000-0003-4454-8580</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over Clinical outcomes Comorbidity Electronic frailty index Electronic health records Electronic medical records Electronics Frail Elderly Frailty Frailty - diagnosis Frailty - epidemiology Geriatric Assessment Geriatrics Hospitalization Humans Mortality Older people Patients Retrospective Studies Sweden - epidemiology THE JOURNAL OF GERONTOLOGY: Medical Sciences |
title | Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden |
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