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Updated: Aug 9, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Medical Disruptions During Center-Based Cardiac Rehabilitation: A Necessary Appraisal for the Development of Emerging
Anthony Khong1, Nina Liu, Shaun Giancaterino
1Department of Internal Medicine (Drs Khong and Liu) and Division of Cardiovascular Medicine (Drs Giancaterino, Chen, and López, Mss Junker, Labiak, Cortez-Toledo, and Fausto, and Mr Andrade), UC Davis Health, Davis, California.
Purpose:
The purpose of this study is to show that with remote and virtual cardiac rehabilitation (CR) care models rapidly emerging, CR core components must be maintained to prioritize safety and effectiveness. Currently, there is a paucity of data on medical disruptions in phase 2 center-based CR (cCR). This study aimed to characterize the frequency and types of unplanned medical disruptions.
Methods:
We reviewed 5038 consecutive sessions from 251 patients enrolled in cCR program from October 2018 to September 2021. Quantification of events was normalized to sessions to control for multiple disruptions that occurred to a single patient. A multivariate logistical regression model was used to predict comorbid risk factors for disruptions.
Results:
Fifty percent of patients experienced one or more disruptions during cCR. Glycemic events (71%) and blood pressure (12%) abnormalities accounted for most of these while symptomatic arrhythmias (8%) and chest pain (7%) were less frequent. Sixty-six percent of events occurred within the first 12 wk. The regression model showed that a diagnosis of diabetes mellitus was the strongest predictor for disruptions (OR = 2.66: 95% CI, 1.57-4.52; P < .0001).
Conclusions:
Medical disruptions were frequent during cCR, with glycemic events being most common and occurring early. A diagnosis of diabetes mellitus was a strong independent risk factor for events. This appraisal suggests that patients living with diabetes mellitus, particularly those on insulin, need to be the highest priority for monitoring and planning and suggests that a hybrid care model may be beneficial in this population.
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