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Frailty indices based on self-report, blood-based biomarkers and examination-based data in the Canadian Longitudinal Study on Aging.
Blodgett, Joanna M; Pérez-Zepeda, Mario U; Godin, Judith; Kehler, D Scott; Andrew, Melissa K; Kirkland, Susan; Rockwood, Kenneth; Theou, Olga.
Afiliação
  • Blodgett JM; Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Pérez-Zepeda MU; Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Godin J; Instituto Nacional de Geriatria, Mexico City, Mexico.
  • Kehler DS; Centro de Investigacion en Ciencias de la Salud (CICSA), FCS, Universidad Anáhuac Mexico Campus Norte, Huixquilucan Mexico.
  • Andrew MK; Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Kirkland S; Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Rockwood K; School of Physiotherapy, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Theou O; Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Age Ageing ; 51(5)2022 05 01.
Article em En | MEDLINE | ID: mdl-35524747
ABSTRACT

BACKGROUND:

Frailty can be operationalised using the deficit accumulation approach, which considers health deficits across multiple domains. We aimed to develop, validate and compare three different frailty indices (FI) constructed from self-reported health measures (FI-Self Report), blood-based biomarkers (FI-Blood) and examination-based assessments (FI-Examination).

METHODS:

Up to 30,027 participants aged 45-85 years from the baseline (2011-2015) comprehensive cohort of the Canadian Longitudinal Study on Aging were included in the analyses. Following standard criteria, three FIs were created a 48-item FI-Self Report, a 23-item FI-Blood and a 47-item FI-Examination. In addition a 118-item FI-Combined was constructed. Mortality status was ascertained in July 2019.

RESULTS:

FI-Blood and FI-Examination demonstrated broader distributions than FI-Self Report. FI-Self Report and FI-Blood scores were higher in females, whereas FI-Examination scores were higher in males. All FI scores increased nonlinearly with age and were highest at lower education levels. In sex and age-adjusted models, a 0.01 increase in FI score was associated with a 1.08 [95% confidence interval (CI) 1.07,1.10], 1.05 (1.04,1.06), 1.07 (1.05,1.08) and a 1.13 (1.11,1.16) increased odds of mortality for FI-Self Report, FI-Blood, FI-Examination and FI-Combined, respectively. Inclusion of the three distinct FI types in a single model yielded the best prognostic accuracy and model fit, even compared to the FI-Combined, with all FIs remaining independently associated with mortality.

CONCLUSION:

Characteristics of all FIs were largely consistent with previously established FIs. To adequately capture frailty levels and to improve our understanding of the heterogeneity of ageing, FIs should consider multiple types of deficits including self-reported, blood and examination-based measures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fragilidade Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Age Ageing Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fragilidade Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Age Ageing Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá