Identifying Factors for Low-Risk Participation in Alternative Cardiac Rehabilitation Models for Patients with Coronary Heart Disease Using MI’S SCOREPAD

Introduction. Although a recent joint society scientific statement (the American Association of Cardiovascular Pulmonary Rehabilitation, the American Heart Association, and the American College of Cardiology) suggests home-based cardiac rehab (CR) is appropriate for low- and moderate-risk patients,...

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Main Authors: Eric J. Brandt, Joshua Garfein, Chih-Wen Pai, Joseph Bryant, Eva Kline-Rogers, Samantha Fink, Melvyn Rubenfire
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Cardiovascular Therapeutics
Online Access:http://dx.doi.org/10.1155/2023/7230325
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author Eric J. Brandt
Joshua Garfein
Chih-Wen Pai
Joseph Bryant
Eva Kline-Rogers
Samantha Fink
Melvyn Rubenfire
author_facet Eric J. Brandt
Joshua Garfein
Chih-Wen Pai
Joseph Bryant
Eva Kline-Rogers
Samantha Fink
Melvyn Rubenfire
author_sort Eric J. Brandt
collection DOAJ
description Introduction. Although a recent joint society scientific statement (the American Association of Cardiovascular Pulmonary Rehabilitation, the American Heart Association, and the American College of Cardiology) suggests home-based cardiac rehab (CR) is appropriate for low- and moderate-risk patients, there are no paradigms to define such individuals with coronary heart disease. Methods. We reviewed a decade of data from all patients with coronary heart disease enrolled in a single CR center (University of Michigan) to identify the prevalence of low-risk factors, which may inform on consideration for participation in alternative models of CR. Low-risk factors included not having any of the following: metabolic syndrome, presence of implantable cardioverter defibrillator or permanent pacemaker, active smoking, prior stroke, congestive heart failure, obesity, advanced renal disease, poor exercise capacity, peripheral arterial disease, angina, or clinical depression (MI’S SCOREPAD). We report on the proportion of participants with these risk factors and the proportion with all of these low-risk factors. Results. The mean age of CR participants (n=1984) was 63 years; 25% were women, and 82% were non-Hispanic White. The mean number of low-risk factors was 8.5, which was similar in the 2011-2012 and 2018-2019 cohorts (8.5 vs. 8.3, respectively, P=0.08). Additionally, 9.3% of the 2011-2012 cohort and 7.6% of the 2018-2019 cohort had all 11 of the low-risk factors. Conclusion. In this observational study, we provide a first paradigm of identifying factors among coronary heart disease patients that may be considered low-risk and likely high-gain for participation in alternative models of CR. Further work is needed to track clinical outcomes in patients with these factors to determine thresholds for enrolling participants in alternative forms of CR.
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spelling doaj-art-912d2125ddcf4664b9353d6e25955fa32025-02-03T01:29:33ZengWileyCardiovascular Therapeutics1755-59222023-01-01202310.1155/2023/7230325Identifying Factors for Low-Risk Participation in Alternative Cardiac Rehabilitation Models for Patients with Coronary Heart Disease Using MI’S SCOREPADEric J. Brandt0Joshua Garfein1Chih-Wen Pai2Joseph Bryant3Eva Kline-Rogers4Samantha Fink5Melvyn Rubenfire6Division of Cardiovascular MedicineDivision of Cardiovascular MedicineDivision of Cardiovascular MedicineDivision of Cardiovascular MedicineDivision of Cardiovascular MedicineDivision of Cardiovascular MedicineDivision of Cardiovascular MedicineIntroduction. Although a recent joint society scientific statement (the American Association of Cardiovascular Pulmonary Rehabilitation, the American Heart Association, and the American College of Cardiology) suggests home-based cardiac rehab (CR) is appropriate for low- and moderate-risk patients, there are no paradigms to define such individuals with coronary heart disease. Methods. We reviewed a decade of data from all patients with coronary heart disease enrolled in a single CR center (University of Michigan) to identify the prevalence of low-risk factors, which may inform on consideration for participation in alternative models of CR. Low-risk factors included not having any of the following: metabolic syndrome, presence of implantable cardioverter defibrillator or permanent pacemaker, active smoking, prior stroke, congestive heart failure, obesity, advanced renal disease, poor exercise capacity, peripheral arterial disease, angina, or clinical depression (MI’S SCOREPAD). We report on the proportion of participants with these risk factors and the proportion with all of these low-risk factors. Results. The mean age of CR participants (n=1984) was 63 years; 25% were women, and 82% were non-Hispanic White. The mean number of low-risk factors was 8.5, which was similar in the 2011-2012 and 2018-2019 cohorts (8.5 vs. 8.3, respectively, P=0.08). Additionally, 9.3% of the 2011-2012 cohort and 7.6% of the 2018-2019 cohort had all 11 of the low-risk factors. Conclusion. In this observational study, we provide a first paradigm of identifying factors among coronary heart disease patients that may be considered low-risk and likely high-gain for participation in alternative models of CR. Further work is needed to track clinical outcomes in patients with these factors to determine thresholds for enrolling participants in alternative forms of CR.http://dx.doi.org/10.1155/2023/7230325
spellingShingle Eric J. Brandt
Joshua Garfein
Chih-Wen Pai
Joseph Bryant
Eva Kline-Rogers
Samantha Fink
Melvyn Rubenfire
Identifying Factors for Low-Risk Participation in Alternative Cardiac Rehabilitation Models for Patients with Coronary Heart Disease Using MI’S SCOREPAD
Cardiovascular Therapeutics
title Identifying Factors for Low-Risk Participation in Alternative Cardiac Rehabilitation Models for Patients with Coronary Heart Disease Using MI’S SCOREPAD
title_full Identifying Factors for Low-Risk Participation in Alternative Cardiac Rehabilitation Models for Patients with Coronary Heart Disease Using MI’S SCOREPAD
title_fullStr Identifying Factors for Low-Risk Participation in Alternative Cardiac Rehabilitation Models for Patients with Coronary Heart Disease Using MI’S SCOREPAD
title_full_unstemmed Identifying Factors for Low-Risk Participation in Alternative Cardiac Rehabilitation Models for Patients with Coronary Heart Disease Using MI’S SCOREPAD
title_short Identifying Factors for Low-Risk Participation in Alternative Cardiac Rehabilitation Models for Patients with Coronary Heart Disease Using MI’S SCOREPAD
title_sort identifying factors for low risk participation in alternative cardiac rehabilitation models for patients with coronary heart disease using mi s scorepad
url http://dx.doi.org/10.1155/2023/7230325
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