Condition: Frailty Syndrome · Sponsor: Parc de Salut Mar
Background Frailty has become a major problem for the health system, but also a window of opportunity to fight against disability through preventive strategies focused on the detection and treatment of frailty in all settings. However, no systematic strategies of screening and early detection are available in clinical settings. This project aims to identify clinical and biological phenotypic clusters that drive through the different stages of frailty and to describe the underlying mechanisms of the trajectories leading to disability and the potential for treatment. Moreover, validation of Frailty Trait Scale 5 (FTS5) will be performed as an easy model to be implemented in primary care and hospital scope. Methods/design A prospective population-based cohort will be stablished for frailty phenotyping (CohorFES). Creation of a CIBERFES Biobank where blood and urine samples from participants of CohortFES are stored for future researches. Demographic and clinical history data, anthropometric measurements, predimed questionnaire, peripheral blood biochemical variables and metabolomics were collected for each participant at baseline and every year until become frailty. Using cluster partition models (k-means and hierarchical clustering) will group together individuals with similar deficits and characteristics (frailty phenotypes). Then, by using pre-established criteria (gap and silhouette), the proposed clustering solution (belonging to given clusters) will be evaluated. Further,…
This description comes directly from the study's public registry record.
Natalia Garcia-Giralt, PhD · 00346160497 · ngarcia@researchmar.net
Diana Ovejero, PhD · 0034933160497 · dovejero@researchmar.net
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| Hospital del Mar Research Institute | Barcelona, Catalonia, Spain | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06965972