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Milman S, Lerman B, Ayers E, Zhang Z, Sathyan S, Levine M, Ye K, Gao T, Higgins-Chen A, Barzilai N, Verghese J. Frailty Resilience Score: A Novel Measure of Frailty Resilience Associated With Protection From Frailty and Survival. J Gerontol A Biol Sci Med Sci 2023; 78:1771-1777. [PMID: 37246648 PMCID: PMC10562888 DOI: 10.1093/gerona/glad138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Indexed: 05/30/2023] Open
Abstract
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, 1-standard deviation increase in FRS predicted a 38% reduction in the hazard of mortality, independent of baseline frailty (p < .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.
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Affiliation(s)
- Sofiya Milman
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Ben Lerman
- School of Medicine, St. George’s University, St. George’s, Grenada, West Indies
| | - Emmeline Ayers
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Zhengdong Zhang
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Sanish Sathyan
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Morgan Levine
- San Diego Institute of Science, Altos Labs, San Diego, California, USA
| | - Kenny Ye
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Systems & Computational Biology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Tina Gao
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Albert Higgins-Chen
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Nir Barzilai
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Joe Verghese
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
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