Prospective Observational Cohort Study on Impact of Frailty on Risk Prediction, Treatment Strategies, and Short-Term Outcomes in Patients With Acute Coronary Syndrome

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

645 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-12-01

Study Completion Date

2028-06-01

Brief Summary

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we aim :

* To evaluate how frailty influences acute management decisions (invasive vs conservative strategy) in ACS patients and whether it independently affects short-term outcomes.
* To determine whether adding frailty assessment to existing ACS risk prediction models improves the prediction of 30-day mortality and major adverse cardiovascular events (MACE) in elderly ACS patients.

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Detailed Description

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Frailty is a geriatric syndrome used to define elderly patients with impaired resistance to stressors due to a decline in physiological reserve. Frailty has become increasingly relevant in the field of cardiovascular medicine, not only for the increased aging of the population, but also for the emerging evidence linking CVD and frailty both at the mechanistic level and the epidemiologic level.

The elderly represent an increasing proportion of ACS patients, but they are often excluded from or underrepresented in clinical trials. A thorough assessment of older ACS patients is important, including the evaluation of frailty or comorbidity from the onset of hospitalization and extending to intervention, medications, and type and frequency of MACE. This strategy enables the delivery of a personalized approach for such a vulnerable subgroup.

While established ACS risk models like the GRACE and TIMI scores guide treatment decisions and predict outcomes, they do not account for frailty, an independent, multidimensional predictor of adverse events in the elderly.

Evaluating both the predictive value of frailty and its effect on treatment decisions and outcomes provides comprehensive insight into its clinical relevance in ACS.