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Updated: Aug 5, 2026
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Frailty Assessment in an Aging Mouse Model
Published on: September 23, 2025
Evaluating Frailty Index Integrity: Insights from an International Network Study
Robert Cavanaugh1,2, Chelsea Wong3,4, Louisa H Smith2,3
1MGH Institute of Health Professions, Boston, MA, United States.
Summary
Frailty Indices (FIs) show inconsistent results across different countries and databases. Their application outside their original development context may be unreliable due to local coding variations.
Area of Science:
- Gerontology
- Health Informatics
- Epidemiology
Background:
- Deficit-accumulation Frailty Indices (FIs) are increasingly used globally to assess reduced physiological reserve in aging populations.
- Common Data Models (CDMs) facilitate international use of FIs, but their validity across diverse settings is uncertain.
Purpose of the Study:
- To evaluate the external validity of two common electronic health record (EHR)-based Frailty Indices (FIs).
- To compare frailty prevalence estimates from the US-based Veterans Affairs FI (VAFI) and the UK-based electronic FI (eFI) across international databases.
Main Methods:
- An international network study compared VAFI and eFI using five distinct EHR databases in the US and UK.
- Included databases were US: All of Us and IQVIA Pharmetrics+; UK: IMRD-THIN, IMRD-EMIS, and UK BioBank.
Main Results:
- Frailty prevalence estimates varied significantly between the US and UK databases for both FIs.
- In US databases, VAFI identified higher frailty proportions compared to eFI.
- In UK databases, eFI identified higher frailty proportions compared to VAFI.
Conclusions:
- Frailty prevalence measured by FIs was inconsistent across different databases and indices, challenging their external validity.
- FI results appear context-dependent, influenced by local coding practices and incentives, limiting generalizability.
- Caution is advised when applying FIs outside their development context; further instrument development is recommended for widespread use with CDMs.
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