Key result
A multiparameter nomogram accurately predicts cardiac rehabilitation compliance with an AUC of ~0.96.
Why the study?
Factors influencing cardiac rehabilitation compliance in elderly patients with acute myocardial infarction needed to be explored to develop a nomogram prediction model.
What are the influencing factors of cardiac rehabilitation compliance in elderly patients with acute myocardial infarction, and can a nomogram accurately predict this compliance?
Population
239 elderly AMI patients
Comparison
Good compliance group vs poor compliance group
Design
Retrospective study
Authors
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May aid risk stratification for cardiac rehabilitation in elderly post-MI patients; leaves open prospective validation before clinical adoption.
Observational (n=239)
Randomly assigned to modeling and validation groups
No
What are the influencing factors of cardiac rehabilitation compliance in elderly patients with acute myocardial infarction, and can a nomogram accurately predict this compliance?
Effect estimate: AUC 0.955 (95% CI 0.927-0.984)
A nomogram incorporating age, education, disease perception, mood, social support, and medical supervision can accurately predict cardiac rehabilitation compliance in elderly patients with acute myocardial infarction.
Zhou et al. (2025) conducted an observational in Acute myocardial infarction (n=239). Nomogram prediction model was evaluated on Discrimination of the nomogram model (AUC) in the modeling group (AUC 0.955, 95% CI 0.927-0.984). A nomogram model incorporating age, education, disease perception, anxiety and depression, social support, and medical supervision accurately predicted cardiac rehabilitation compliance with an AUC of 0.955.
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