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Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden.

Authors :
Mak, Jonathan K L
Hägg, Sara
Eriksdotter, Maria
Annetorp, Martin
Kuja-Halkola, Ralf
Kananen, Laura
Boström, Anne-Marie
Kivipelto, Miia
Metzner, Carina
Jerlardtz, Viktoria Bäck
Engström, Malin
Johnson, Peter
Lundberg, Lars Göran
Åkesson, Elisabet
Öberg, Carina Sühl
Olsson, Maria
Cederholm, Tommy
Jylhävä, Juulia
Religa, Dorota
Bäck Jerlardtz, Viktoria
Source :
Journals of Gerontology Series A: Biological Sciences & Medical Sciences. Nov2022, Vol. 77 Issue 11, p2311-2319. 9p.
Publication Year :
2022

Abstract

<bold>Background: </bold>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.<bold>Methods: </bold>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.<bold>Results: </bold>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.<bold>Conclusions: </bold>An EHR-based eFI has robust associations with adverse outcomes, suggesting that it can be used in risk stratification in hospitalized older adults. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10795006
Volume :
77
Issue :
11
Database :
Academic Search Index
Journal :
Journals of Gerontology Series A: Biological Sciences & Medical Sciences
Publication Type :
Academic Journal
Accession number :
160328566
Full Text :
https://doi.org/10.1093/gerona/glac069