Related Experiment Video
Updated: Feb 7, 2026
06:58
Frailty Assessment in an Aging Mouse Model
Published on: September 23, 2025
607
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.
Medrxiv : the Preprint Server for Health Sciences
|February 6, 2026
Summary
Deficit-accumulation Frailty Indices (FIs) show varying results across countries. Frailty Indices (FIs) developed in one context may not be externally valid when applied in another due to differences in data and coding practices.
Area of Science:
- Gerontology
- Health Informatics
- Epidemiology
Background:
- Deficit-accumulation Frailty Indices (FIs) are widely used to assess physiological reserve in aging populations.
- Common Data Models (CDMs) facilitate international application of FIs, but their validity across different healthcare systems is uncertain.
Purpose of the Study:
- To compare the validity and estimates of two electronic health record (EHR)-based Frailty Indices (FIs): the US-based Veterans Affairs FI (VAFI) and the UK-based electronic FI (eFI).
- To assess the external validity of FIs when applied across different international databases and healthcare contexts.
Main Methods:
- An international network study compared VAFI and eFI estimates across five large EHR databases in the US and UK.
- Data included the *All of Us* and IQVIA Pharmetrics+ databases (US), and IMRD-THIN, IMRD-EMIS, and UK BioBank databases (UK).
- Analyses included variations in lookback periods and FI construction.
Main Results:
- Significant discrepancies in frailty prevalence were observed between VAFI and eFI across US and UK databases.
- In US databases, VAFI identified higher frailty proportions (e.g., 10.3% vs. 2.5% in *All of Us*).
- In UK databases, eFI identified higher frailty proportions (e.g., 0.08% vs. <0.003% in IMRD-THIN).
Conclusions:
- Frailty Index (FI) estimates are context-dependent, influenced by local coding behaviors and healthcare system incentives.
- The external validity of FIs is limited, even when using Common Data Models (CDMs).
- Caution is advised when applying FIs outside their original development context; further instrument development is recommended.
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