Key result
New 36-point PERFSCORE algorithm assesses cardiac rehabilitation success, driven primarily by LVEF and smoking cessation.
Why the study?
Can a multidimensional score (PERFSCORE) reliably assess the achievement of therapeutic goals in patients undergoing cardiac rehabilitation?
Observational (n=839)
Can a multidimensional score (PERFSCORE) reliably assess the achievement of therapeutic goals in patients undergoing cardiac rehabilitation?
The PERFSCORE provides a simple, multidimensional algorithm to quantify the success of cardiac rehabilitation based on six clinical indicators.
Answers are grounded in this paper and cite their sources.
May support multidimensional cardiac rehabilitation assessment; leaves open prospective validation before clinical adoption.
BACKGROUND: We propose a simple and reliable score, performance score ('PERFSCORE'), that allows cardiologists to assess the achievement of therapeutic goals. METHODS: We identified six indicators of cardiac rehabilitation performance: heart rate (HR) less than 70 beats/min; blood pressure (BP) less than 140/90 mmHg; smoking cessation or non-smokers; left ventricular ejection fraction (LVEF) more than 40%; LDLc less than 100 mg/dl or more than 70 mg/dl if diabetic; and on treatment at least with three drugs among angiotensin converting enzyme (ACE) inhibitors or angiotensin receptor blocker (ARBs), β-blockers, statins, and ASA. These six indicators are considered to be the collective expression of a latent variable measuring performance. To assess the relative contribution of each indicator in the definition of cardiac rehabilitation performance, we fitted a structural equation model using the 'Stata 13' system. RESULTS: A total of 839 consecutive patients were analyzed; 49% had recent ST- elevation myocardial infarction/non-ST elevation myocardial infarction and 51% had undergone elective percutaneous coronary intervention/coronary artery bypass graft. At the end of cardiac rehabilitation, LVEF was 55 ± 11%; HR, 69 ± 13 beats/min; SBP, 135 ± 20 mmHg; DBP, 79 ± 10 mmHg; LDLc, 88 ± 29 mg/dl; 56% had stopped smoking; 71% were on β-blockers; 78% ACE inhibitors or ARBs; 87% were on statins, and 96% were on ASA. Weights for each indicator in the PERFSCORE were 0.57 for HR, 0.40 for BP, 0.87 for LVEF, 0.78 for smoking, 0.42 for LDLc, and 0.75 for drugs, multiplied by 1 if the target has been reached, otherwise by 0. Higher performance values correspond to better cardiac rehabilitation results. The point range was 0-36: less than 24, not satisfying cardiac rehabilitation; 24-29, satisfying cardiac rehabilitation; and more than 29, optimal cardiac rehabilitation. CONCLUSION: In conclusion, we propose an easy algorithm to calculate the success of cardiac rehabilitation.
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Maras et al. (2017) conducted an observational in Cardiac rehabilitation post-MI or PCI/CABG (n=839). PERFSCORE was evaluated on Weights for each indicator in the PERFSCORE. The PERFSCORE algorithm, ranging from 0-36 points, was developed to assess cardiac rehabilitation success using six weighted indicators, with LVEF (0.87) and smoking cessation (0.78) weighted highest.
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