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Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach
BACKGROUND: There are currently no validated globally and freely available tools to estimate the modified frailty index (mFI). The widely available and non-proprietary International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) coding could be used as a...
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/PMC9107186/ https://www.ncbi.nlm.nih.gov/pubmed/35562684 http://dx.doi.org/10.1186/s12877-022-03063-x |
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author | Subramaniam, Ashwin Ueno, Ryo Tiruvoipati, Ravindranath Darvall, Jai Srikanth, Velandai Bailey, Michael Pilcher, David Bellomo, Rinaldo |
author_facet | Subramaniam, Ashwin Ueno, Ryo Tiruvoipati, Ravindranath Darvall, Jai Srikanth, Velandai Bailey, Michael Pilcher, David Bellomo, Rinaldo |
author_sort | Subramaniam, Ashwin |
collection | PubMed |
description | BACKGROUND: There are currently no validated globally and freely available tools to estimate the modified frailty index (mFI). The widely available and non-proprietary International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) coding could be used as a surrogate for the mFI. We aimed to establish an appropriate set of the ICD-10 codes for comorbidities to be used to estimate the eleven-variable mFI. METHODS: A three-stage, web-based, Delphi consensus-building process among a panel of intensivists and geriatricians using iterative rounds of an online survey, was conducted between March and July 2021. The consensus was set a priori at 75% overall agreement. Additionally, we assessed if survey responses differed between intensivists and geriatricians. Finally, we ascertained the level of agreement. RESULTS: A total of 21 clinicians participated in all 3 Delphi surveys. Most (86%, 18/21) had more than 5-years’ experience as specialists. The agreement proportionately increased with every Delphi survey. After the third survey, the panel had reached 75% consensus in 87.5% (112/128) of ICD-10 codes. The initially included 128 ICD-10 variables were narrowed down to 54 at the end of the 3 surveys. The inter-rater agreements between intensivists and geriatricians were moderate for surveys 1 and 3 (κ = 0.728, κ = 0.780) respectively, and strong for survey 2 (κ = 0.811). CONCLUSIONS: This quantitative Delphi survey of a panel of experienced intensivists and geriatricians achieved consensus for appropriate ICD-10 codes to estimate the mFI. Future studies should focus on validating the mFI estimated from these ICD-10 codes. TRIAL REGISTRATION: Not applicable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03063-x. |
format | Online Article Text |
id | pubmed-9107186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91071862022-05-15 Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach Subramaniam, Ashwin Ueno, Ryo Tiruvoipati, Ravindranath Darvall, Jai Srikanth, Velandai Bailey, Michael Pilcher, David Bellomo, Rinaldo BMC Geriatr Research BACKGROUND: There are currently no validated globally and freely available tools to estimate the modified frailty index (mFI). The widely available and non-proprietary International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) coding could be used as a surrogate for the mFI. We aimed to establish an appropriate set of the ICD-10 codes for comorbidities to be used to estimate the eleven-variable mFI. METHODS: A three-stage, web-based, Delphi consensus-building process among a panel of intensivists and geriatricians using iterative rounds of an online survey, was conducted between March and July 2021. The consensus was set a priori at 75% overall agreement. Additionally, we assessed if survey responses differed between intensivists and geriatricians. Finally, we ascertained the level of agreement. RESULTS: A total of 21 clinicians participated in all 3 Delphi surveys. Most (86%, 18/21) had more than 5-years’ experience as specialists. The agreement proportionately increased with every Delphi survey. After the third survey, the panel had reached 75% consensus in 87.5% (112/128) of ICD-10 codes. The initially included 128 ICD-10 variables were narrowed down to 54 at the end of the 3 surveys. The inter-rater agreements between intensivists and geriatricians were moderate for surveys 1 and 3 (κ = 0.728, κ = 0.780) respectively, and strong for survey 2 (κ = 0.811). CONCLUSIONS: This quantitative Delphi survey of a panel of experienced intensivists and geriatricians achieved consensus for appropriate ICD-10 codes to estimate the mFI. Future studies should focus on validating the mFI estimated from these ICD-10 codes. TRIAL REGISTRATION: Not applicable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03063-x. BioMed Central 2022-05-13 /pmc/articles/PMC9107186/ /pubmed/35562684 http://dx.doi.org/10.1186/s12877-022-03063-x 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 Subramaniam, Ashwin Ueno, Ryo Tiruvoipati, Ravindranath Darvall, Jai Srikanth, Velandai Bailey, Michael Pilcher, David Bellomo, Rinaldo Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach |
title | Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach |
title_full | Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach |
title_fullStr | Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach |
title_full_unstemmed | Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach |
title_short | Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach |
title_sort | defining icd-10 surrogate variables to estimate the modified frailty index: a delphi-based approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107186/ https://www.ncbi.nlm.nih.gov/pubmed/35562684 http://dx.doi.org/10.1186/s12877-022-03063-x |
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