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We aimed to assess the incremental validity of a Comprehensive Model of Frailty (CMF) over Frailty Index (FI) in predicting self-rated health and functional dependency amongst near-centenarians and centenarians.
Unfortunately, although current literature agrees on the bio-psychosocial model of frailty [17], its operational definition is yet unresolved [10, 11, 13, 22].
Currently, the most frequently adopted model of frailty is the Biological Syndrome developed by Fried et al. (2001), in which frailty is identified based on a specific phenotype.
36 The TFI is based on an integral conceptual model of frailty, including physical, psychological, and social components of frailty and excluding disability.
To date, no model of frailty based on defining and quantifying frailty on a purely data driven approach has been produced.
24 We aim to develop and validate a model of frailty based on these syndromes as the first steps of developing a sensitive clinically relevant assessment tool to be used at point of access of acute care.
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It might be easier, however, to establish good mouse models of frailty.
Six genetic models of frailty are considered and applied to Danish twin survival data.
Key components of several multidimensional models of frailty, such as economic vulnerability, may act as determinants, as enhancers, or as outcomes of frailty.
Existing models of frailty were primarily developed in outpatient cohorts, and are therefore challenging to apply to an inpatient population [ 10- 13].
Other distinct conceptual models of frailty have also been proposed, which are extensively reviewed elsewhere and will not be discussed here.
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