Breast Cancer Clinical Trial
Official title:
Targeting Osteosarcopaenia and Multimorbidity for Frailty Prevention Through Identification and Deep Phenotyping Methods in Healthy Aging and High-burden Disease Cohorts.
The aging population and its accompanying burden from non-communicable chronic diseases predicts an increasing impact imposed by frailty on healthcare systems. This is due to a lack of normative data for older adults and reliable risk stratification methods to develop effective approaches to the prevention of frailty. In this study, the investigators plan to form a common dataset for phenotype identification, risk stratification of frailty and its targeted treatment plans in the at-risk and mildly frail population.
Osteosarcopaenia and multimorbidity have emerged as two key antecedent factors driving the cycle of frailty, leading to adverse outcomes. However, it remains unclear how multimorbidity and/or osteosarcopaenia act singly or in concert to influence the expression and trajectory of the frailty continuum. OPTIMA-C will develop unifying administrative and data platforms, exploring the feasibility of inclusive screening for sarcopaenia early during rehabilitation hospital stay. Early muscle ultrasound will also be utilised to determine key muscles possibly predictive of rehabilitation functional or global outcomes in the studied populations and their correlation with acute disease outcomes. Digital markers are quantified and correlations are investigated with physical, muscle and bone imaging findings. ;
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