Cardiac rehabilitation (CR) improves exercise capacity (EC), but not all CR participants achieve such improvements. Our primary aim was to develop a tool to identify those with suboptimal improvement in EC after CR. We retrospectively analyzed 541 patients enrolled in a phase-II CR program after a cardiac event or intervention from 2003 to 2014. EC was assessed with the 6-minute walk test. We developed a multivariate linear regression model and corresponding nomogram to predict EC after CR. The predictors included in the final model were age, gender, baseline EC, primary referral diagnosis, body mass index, systolic blood pressure at rest, triglycerides, low-density lipoprotein cholesterol, lipid-lowering medication use, and an interaction term of low-density lipoprotein cholesterol with lipid-lowering therapy. The prediction model was internally validated using bootstrap methods, and a nomogram was created for ease of use. In conclusion, this tool helps to identify those patients with suboptimal improvement in EC who could be targeted for individualized interventions to increase their performance.
ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine