
In the quest to understand and combat frailty in older adults, a team of researchers led by Sofiya Milman has developed a novel tool known as the Frailty Resilience Score (FRS). Frailty is a condition characterized by increased vulnerability to disability and a high risk of mortality in older adults. The FRS is a measure that integrates genetic risk factors for frailty, age, and sex to provide a quantifiable measure of an individual's resilience against frailty.
The researchers applied the FRS to the LonGenity cohort, a group of 467 individuals with a mean age of 74.4 years. The results demonstrated the validity of the FRS compared to phenotypic frailty, a measure of frailty based on observable characteristics, and its utility as a reliable predictor of overall survival. In fact, for every standard deviation increase in the FRS, there was a 38% reduction in the hazard of mortality, independent of baseline frailty.
This study introduces the FRS as a reliable measure of frailty resilience that can be applied to biological studies of resilience. The development of the FRS represents a significant advancement in the field of gerontology, providing a new tool for predicting longevity and health in older adults. It also opens up new avenues for identifying factors that contribute to frailty resilience, which is a crucial step towards developing effective therapies to protect against frailty.
Article Information
Published on The Journals of Gerontology: Series A. Sofiya Milman et al.
Frailty is characterized by increased vulnerability to disability and high risk for mortality in older adults. Identification of factors that contribute to frailty resilience is an important step in the development of effective therapies that protect against frailty. First, a reliable quantification of frailty resilience is needed. We developed a novel measure of frailty resilience, the Frailty Resilience Score (FRS), that integrates frailty genetic risk, age, and sex. Application of FRS to the LonGenity cohort (n=467, mean age 74.4) demonstrated its validity compared to phenotypic frailty and its utility as a reliable predictor of overall survival. In a multivariable adjusted analysis, one standard deviation increase in FRS predicted a 38% reduction in the hazard of mortality, independent of baseline frailty (p<0.001). Additionally, FRS was used to identify a proteomic profile of frailty resilience. FRS was shown to be a reliable measure of frailty resilience that can be applied to biological studies of resilience.