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
Hauptverfasser: 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
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container_end_page 2319
container_issue 11
container_start_page 2311
container_title The journals of gerontology. Series A, Biological sciences and medical sciences
container_volume 77
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.
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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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