Key result
~51% of post-PCI patients exhibit low CR adherence.
Why the study?
This study aimed to identify distinct in-hospital cardiac rehabilitation adherence profiles and explore their associated clinical and sociodemographic factors among patients following PCI.
Cross-Sectional (n=384)
No
p-value: p=<0.05
In-hospital cardiac rehabilitation adherence among post-PCI patients is highly heterogeneous, with sociodemographic factors and digital literacy (smartphone proficiency) significantly influencing adherence levels.
Clinicians should assess digital literacy when referring post-PCI patients to CR; extends prior work by identifying sociodemographic associations with adherence profiles.
Objective: This study aimed to identify distinct in-hospital cardiac rehabilitation (CR) adherence profiles and explore their associated clinical and sociodemographic factors among patients following percutaneous coronary intervention (PCI). Methods: A cross-sectional survey was conducted among patients undergoing Phase I cardiac rehabilitation following percutaneous coronary intervention (PCI) who were hospitalized in the cardiology department between June and July 2025 (n=384). Data were collected using a general information questionnaire and a treatment adherence questionnaire (Since the study population consisted of inpatients undergoing PCI followed by phase I cardiac rehabilitation, the dimension of follow-up compliance was excluded). LPA, a person-centered method that identifies unobserved subgroups (profiles) based on response patterns, was prespecified to classify CR adherence profiles. Multinomial logistic regression was performed to examine factors associated with profile membership. Clinical indicators (number of diseased vessels, LVEF, LDL-C, and serum creatinine) were included as candidate predictors; after LASSO selection, LDL-C and number of diseased vessels were retained and entered the final multinomial logistic regression model as continuous variables (original values). Results: Three distinct CR adherence profiles were identified: Low CR Adherence (125/384, 32.55%), Medium CR Adherence (169/384, 44.01%), and High CR Adherence (90/384, 23.44%). Profile membership was significantly associated with gender, living situation, family monthly income, residential distance, smartphone use/proficiency and LDL-C ( P < 0.05). Conclusion: CR adherence among post-PCI patients was overall moderate-to-low, with substantial heterogeneity across adherence patterns. The associated sociodemographic and contextual factors may help inform profile-based, tailored support to improve CR adherence after PCI. Given the cross-sectional design, these associations are non-causal and should be validated in future multicenter longitudinal and intervention studies.
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He et al. (2026) conducted a cross-sectional in Cardiac Rehabilitation adherence post-PCI (n=384). Cardiac Rehabilitation (Phase I) vs. No intervention was evaluated on CR adherence profiles (p=<0.05). Over half of the participants (50.52%) belonged to the Low CR Adherence profile, indicating suboptimal engagement with cardiac rehabilitation post-PCI.
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