Why the study?
Can a simple clinical tool predict early dropout (<12 sessions) in patients enrolled in cardiac rehabilitation?
Population
1,199 patients enrolled in cardiac rehabilitation, including a derivation cohort of 657 patients who…
Design
Cohort
Key result
A single-center clinical risk model predicted nonadherence to cardiac rehabilitation (<12 sessions) with fair validity in an independent cohort (C-statistic = 0.62).
Authors
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May identify high-risk CR patients for targeted support; hypothesis-generating and requires prospective validation before clinical use.
Cohort (n=1,199)
No
Can a simple clinical tool predict early dropout (<12 sessions) in patients enrolled in cardiac rehabilitation?
A simple, single-center risk model can identify patients at risk of early dropout from cardiac rehabilitation, though its predictive validity was only fair in a validation cohort.
Pack et al. (2020) conducted a cohort in Cardiac rehabilitation nonadherence (n=1,199). Clinical risk prediction model was evaluated on Attending <12 sessions of cardiac rehabilitation. A single-center clinical risk model predicted nonadherence to cardiac rehabilitation (<12 sessions) with fair validity in an independent cohort (C-statistic = 0.62).