Related Experiment Video
Updated: Mar 8, 2026

Frailty Assessment in an Aging Mouse Model
Published on: September 23, 2025
The Standardization of Frailty Phenotype Criteria Improves Its Predictive Ability: The Toledo Study for Healthy Aging
Cristina Alonso Bouzón1, Jose Antonio Carnicero2, Jimmy Gonzáles Turín3
1Geriatric Department, Hospital Universitario de, Getafe, Madrid, Spain.
Introduction:
Several studies have assessed the performance of the original frailty phenotype criteria (FPC) and the standardized version according to the characteristics of the population. No studies exist, however, evaluating the impact of this standardization on its predictive ability.
Objective:
To compare how the original FPC and the standardized-frailty phenotype criteria (S-FPC) estimate the prevalence of frailty and their ability to predict mortality, hospitalization, incident disability, and falls.
Methods:
Data were taken from the Toledo Study for Healthy Aging, a population-based, community-dwelling study conducted on 1645 individuals over 65. Frailty was operationalized in two ways: FPC, using the cut-off estimated in the Cardiovascular Health Study and S-FPC, using cut-off points fitted to the phenotypic characteristics of our study sample. Frailty prevalences were compared using chi-square statistic. Cox proportional hazard models and logistic regressions evaluated the predictive ability of both tools. Lastly, survival tests were applied.
Results:
Frailty and prefrailty prevalences varied according to the tool used: 24.12% and 66.40%, respectively when we used FPC and 6.68% and 47.81% when we used S-FPC (P < .01). Regarding their predictive ability, S-FPC, but not FPC, identified consistently the prefrail persons as an intermediate risk group between robust and frail people [death 1.57 (1.15-2.16); hospitalization 1.47 (1.16-1.85); and incident disability 1.96 (1.30-2.97); P < .005]. Furthermore S-FPC predicted death and hospitalization at shorter times than FPC (P < .05).
Conclusion:
FPC should be standardized according to the characteristics of the population in order to improve its predictive ability.
More Related Videos
05:53Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
Published on: July 24, 2013
04:00Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
Published on: July 26, 2024