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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.
Afiliação
  • Subramaniam A; Department of Intensive Care, Peninsula Health, Frankston, Victoria, Australia. ashwin.subramaniam@monash.edu.
  • Ueno R; Peninsula Clinical School, Monash University, Frankston, Victoria, Australia. ashwin.subramaniam@monash.edu.
  • Tiruvoipati R; Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. ashwin.subramaniam@monash.edu.
  • Darvall J; Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
  • Srikanth V; Department of Intensive Care, Eastern Health, Box Hill, Victoria, Australia.
  • Bailey M; Department of Intensive Care, Peninsula Health, Frankston, Victoria, Australia.
  • Pilcher D; Peninsula Clinical School, Monash University, Frankston, Victoria, Australia.
  • Bellomo R; Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
BMC Geriatr ; 22(1): 422, 2022 05 13.
Article em En | MEDLINE | ID: mdl-35562684
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Classificação Internacional de Doenças / Fragilidade Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Classificação Internacional de Doenças / Fragilidade Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article