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Validation of an electronic frailty index with electronic health records: eFRAGICAP index
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 concurre...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080132/ https://www.ncbi.nlm.nih.gov/pubmed/35525922 http://dx.doi.org/10.1186/s12877-022-03090-8 |
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author | Orfila, Francesc Carrasco-Ribelles, Lucía A. Abellana, Rosa Roso-Llorach, Albert Cegri, Francisco Reyes, Carlen Violán, Concepción |
author_facet | Orfila, Francesc Carrasco-Ribelles, Lucía A. Abellana, Rosa Roso-Llorach, Albert Cegri, Francisco Reyes, Carlen Violán, Concepción |
author_sort | Orfila, Francesc |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03090-8. |
format | Online Article Text |
id | pubmed-9080132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90801322022-05-09 Validation of an electronic frailty index with electronic health records: eFRAGICAP index Orfila, Francesc Carrasco-Ribelles, Lucía A. Abellana, Rosa Roso-Llorach, Albert Cegri, Francisco Reyes, Carlen Violán, Concepción BMC Geriatr Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03090-8. BioMed Central 2022-05-07 /pmc/articles/PMC9080132/ /pubmed/35525922 http://dx.doi.org/10.1186/s12877-022-03090-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Orfila, Francesc Carrasco-Ribelles, Lucía A. Abellana, Rosa Roso-Llorach, Albert Cegri, Francisco Reyes, Carlen Violán, Concepción Validation of an electronic frailty index with electronic health records: eFRAGICAP index |
title | Validation of an electronic frailty index with electronic health records: eFRAGICAP index |
title_full | Validation of an electronic frailty index with electronic health records: eFRAGICAP index |
title_fullStr | Validation of an electronic frailty index with electronic health records: eFRAGICAP index |
title_full_unstemmed | Validation of an electronic frailty index with electronic health records: eFRAGICAP index |
title_short | Validation of an electronic frailty index with electronic health records: eFRAGICAP index |
title_sort | validation of an electronic frailty index with electronic health records: efragicap index |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080132/ https://www.ncbi.nlm.nih.gov/pubmed/35525922 http://dx.doi.org/10.1186/s12877-022-03090-8 |
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