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 range
50 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Incidence (rates) of Frailty
Timeframe: Through study's data collection period, up to 4 years
Severity of Frailty
Timeframe: For inpatient: Visit 1 (within 2 weeks of admission) to Visit 6 (end of 3rd year); For outpatient: Visit 1 (baseline) to Visit 4 (end of 3rd year)