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Frailty Assessment in an Aging Mouse Model

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

Claims-based Frailty Indices: A Systematic Review.

Sukruth A Shashikumar¹, Kristine Huang¹, R Tamara Konetzka²

¹Department of Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO.

|June 11, 2020

Summary

Claims-based frailty indices (CFIs) effectively predict patient frailty and adverse outcomes. These tools, using administrative claims data, are valuable for population-level risk assessment and clinical decision-making.

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Published on: July 24, 2013

Area of Science:

Gerontology and Public Health
Health Services Research
Clinical Epidemiology

Background:

Frailty significantly impacts patient outcomes, independent of other factors.
Population-level frailty measurement is crucial for interventions, reporting, and risk adjustment.
Frailty indices derived from administrative claims data enable large-scale assessments.

Purpose of the Study:

To evaluate claims-based frailty indices (CFIs) for population-level frailty assessment.
To review the development and validation of CFIs using administrative and health services claims data.

Main Methods:

Systematic literature search on PubMed for CFI development/validation studies.
Evaluation of 17 studies based on databases, frailty variables, construction methods, predictive performance, clinical outcome associations, and limitations.
Inclusion criteria focused on studies using diagnosis codes within administrative or health services claims.

Main Results:

Seventeen studies were included, showing variation in frailty codes but common themes like mobility, neurological, and psychiatric impairments.
C-statistics indicated strong predictive ability for patient frailty and adverse clinical outcomes.
All reviewed CFIs demonstrated significant associations between frailty and negative health outcomes.

Conclusions:

CFIs exhibit unique strengths and limitations but share commonalities.
Some CFIs are more widely validated and utilized than others.
Frailty is a clinically significant syndrome that warrants integration into risk prediction models where feasible.