Journal
INTERNATIONAL JOURNAL OF CARDIOLOGY
Volume 371, Issue -, Pages 40-48Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.ijcard.2022.09.012
Keywords
Cardiac rehabilitation; Myocardial infarction; Predictors; Risk factors
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This study investigated the predictors of attaining risk factor targets after myocardial infarction, using data from 7549 patients and 78 cardiac rehabilitation centers in Sweden. The study found that offering psychosocial management, having a psychologist in the rehabilitation team, extended opening hours, adequate facilities, and a medical director were the strongest organizational predictors of achieving low-density lipoprotein-cholesterol and blood pressure targets. Patient-level predictors included low baseline LDL-C, no history of hypertension, participation in exercise-based rehabilitation, and group education.
Background: Benefits of cardiac rehabilitation (CR) programme components on attaining risk factor targets post-myocardial infarction (MI) and their predictive strength relative to patient characteristics remain unclear. We aimed to identify organizational and patient-level predictors of risk factor target attainment at one-year post-MI. Methods: In this observational study data on CR organization at 78 Swedish CR centres was collected and merged with patient-level registry data (n = 7549). Orthogonal partial least squares discriminant analysis identified predictors (Variables of Importance for the Projection (VIP) values >0.8) of attaining low-density lipoprotein-cholesterol (LDL-C) <1.8 mmol/L, blood pressure (BP) <140/90 mmHg and smoking abstinence. Results: The strongest predictors (VIP [95% CI]) for attaining LDL-C and BP targets were offering psychosocial management (2.14 [1.78-2.50]; 2.45 [1.91-2.99]), having a psychologist in the CR team (1.62 [1.36-1.87]; 2.05 [1.67-2.44]), extended opening hours (2.13 [2.00-2.27]; 1.50 [0.91-2.10]), adequate facilities (1.54 [0.91-2.18]; 1.89 [1.38-2.40]), and having a medical director (1.70 [0.91-2.48]; 1.46 [1.04-1.88]). The strongest patient-level predictors of attaining LDL-C and/or BP targets were low baseline LDL-C (3.95 [3.39-4.51]) and having no history of hypertension (2.93 [2.60-3.26]), respectively, followed by exercise-based CR participation (1.38 [0.66-2.10]; 1.46 [1.14-1.78]). For smoking abstinence, the strongest organizational predictor was varenicline being prescribed by CR physicians (1.88 [0.95-2.80]) and patient-level predictors were participation in exercise-based CR (2.47 [2.07-2.88]) and group education (1.92 [1.43-2-42]), and no cardiovascular disease history (2.13 [1.78-2.48]). Conclusions: We identified multiple CR organizational and patient-level predictors of attaining risk factor targets post-MI. These results may influence the future design of comprehensive CR programmes.
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