Validation of an electronic frailty index with electronic health records : eFRAGICAP index

© 2022. The Author(s)..

OBJECTIVE: To create an electronic frailty index (eFRAGICAP) using electronic health records (EHR) in Catalunya (Spain) and assess its predictive validity with a two-year follow-up of the outcomes: homecare need, institutionalization and mortality in the elderly. Additionally, to assess its concurrent validity compared to other standardized measures: the Clinical Frailty Scale (CFS) and the Risk Instrument for Screening in the Community (RISC).

METHODS: The eFRAGICAP was based on the electronic frailty index (eFI) developed in United Kingdom, and includes 36 deficits identified through clinical diagnoses, prescriptions, physical examinations, and questionnaires registered in the EHR of primary health care centres (PHC). All subjects > 65 assigned to a PHC in Barcelona on 1st January, 2016 were included. Subjects were classified according to their eFRAGICAP index as: fit, mild, moderate or severe frailty. Predictive validity was assessed comparing results with the following outcomes: institutionalization, homecare need, and mortality at 24 months. Concurrent validation of the eFRAGICAP was performed with a sample of subjects (n = 333) drawn from the global cohort and the CFS and RISC. Discrimination and calibration measures for the outcomes of institutionalization, homecare need, and mortality and frailty scales were calculated.

RESULTS: 253,684 subjects had their eFRAGICAP index calculated. Mean age was 76.3 years (59.5% women). Of these, 41.1% were classified as fit, and 32.2% as presenting mild, 18.7% moderate, and 7.9% severe frailty. The mean age of the subjects included in the validation subsample (n = 333) was 79.9 years (57.7% women). Of these, 12.6% were classified as fit, and 31.5% presented mild, 39.6% moderate, and 16.2% severe frailty. Regarding the outcome analyses, the eFRAGICAP was good in the detection of subjects who were institutionalized, required homecare assistance, or died at 24 months (c-statistic of 0.841, 0.853, and 0.803, respectively). eFRAGICAP was also good in the detection of frail subjects compared to the CFS (AUC 0.821) and the RISC (AUC 0.848).

CONCLUSION: The eFRAGICAP has a good discriminative capacity to identify frail subjects compared to other frailty scales and predictive outcomes.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:22

Enthalten in:

BMC geriatrics - 22(2022), 1 vom: 07. Mai, Seite 404

Sprache:

Englisch

Beteiligte Personen:

Orfila, Francesc [VerfasserIn]
Carrasco-Ribelles, Lucía A [VerfasserIn]
Abellana, Rosa [VerfasserIn]
Roso-Llorach, Albert [VerfasserIn]
Cegri, Francisco [VerfasserIn]
Reyes, Carlen [VerfasserIn]
Violán, Concepción [VerfasserIn]

Links:

Volltext

Themen:

Cohort Studies
Electronic Health Records
Frail Elderly
Geriatric Assessment
Journal Article
Primary Health Care
Research Support, Non-U.S. Gov't
Survival Analysis
Validation Study

Anmerkungen:

Date Completed 10.05.2022

Date Revised 10.04.2023

published: Electronic

Citation Status MEDLINE

doi:

10.1186/s12877-022-03090-8

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM340544031