Why the study?
The longitudinal trajectories of patient-reported outcomes and the variables associated with them in patients with ACS undergoing PCI were not well understood.
What are the longitudinal trajectories of patient-reported outcomes in patients with ACS undergoing PCI?
What are the longitudinal trajectories of patient-reported outcomes in patients with ACS undergoing PCI?
Patient-reported outcomes post-PCI show significant heterogeneity, with distinct recovery trajectories influenced by sociodemographic and clinical factors.
Living-alone, diabetic or poor-sleep ACS-PCI patients may warrant closer PRO monitoring; leaves open whether addressing these factors improves trajectories.
AIMS: To explore the longitudinal trajectories of patient-reported outcome (PRO) and identify variables associated with these trajectories in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). METHODS AND RESULTS: This multicenter, prospective, longitudinal cohort study assessed the health status of PCI patients using the patient-reported outcome instruments for chronic disease-coronary heart disease at baseline, 7 days, 1 month, and 3 months post-operatively. Baseline characteristics were collected through general information questionnaires. Growth mixture modelling (GMM) was applied to estimate PRO trajectories and logistic regression analyses were used to identify their predictors. A total of 353 patients were included in the analysis, revealing three distinct PRO trajectory classes: moderate-level rapid recovery group (86.4%), low-level slow recovery group (5.10%), and high-level continuous deterioration group (8.50%). Logistic regression identified living status, admission diagnosis, diabetes, sleep medications history, and sleep quality as significant predictors for those trajectories. CONCLUSION: Patient-reported outcome trajectories within 3 months post-PCI show considerable heterogeneity, influenced by a range of disease-specific, healthy lifestyle, and sociodemographic factors. These findings underscore the importance of personalized, targeted interventions to optimize patient health outcomes.
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Zhao et al. (2025) studied this question.
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