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.
• Age ≥ 50y
• Asian ethnicity
• First diagnosis (stroke, Traumatic Brain Injury (TBI), knee osteoarthritis, breast cancer)
• Living in community
• Able to understand 1 step simple commands
• For inpatients: (i) within 12 weeks of disease (stroke/TBI) onset, and (ii) within 2 weeks of rehabilitation ward admission
• For outpatients: (i) \>6 months from initial diagnosis of first stroke, TBI, knee osteoarthritis or breast cancer, and (ii) at least standby assistance, modified independent or independent in ambulation with /without walking.