Development of a multidimensional prediction model for long-term prognostic risk in patients with acute coronary syndromes after percutaneous coronary intervention: A retrospective observational cohort study
This study developed a multimodal predictive model that integrates the inflammatory response after onset, physical performance and exercise tolerance before discharge, and daily activity after discharge to predict the long-term prognosis of patients with ACS. The multidimensional model is more effective than the single-factor model for assessing risk in ACS patients. This work also establishes a theoretical basis for improving the prognosis of potentially high-risk individuals with accurate and reasonable exercise prescriptions.
Authors
- Pengyu Cao (ORCID: https://orcid.org/0000-0003-0560-5159)
- Lijing Zhao (ORCID: https://orcid.org/0000-0002-3190-7399)
- Ningning Zhang (ORCID: https://orcid.org/0000-0002-6365-5827)
- Jinting Yang
- Lin Wang (ORCID: https://orcid.org/0000-0001-7927-0780)
- Yanwei Du
- Rongyu Li (ORCID: https://orcid.org/0000-0002-6645-9450)
- Bojian Wang (ORCID: https://orcid.org/0009-0009-3935-3448)
- Wangshu Shao
- Min Liu (ORCID: https://orcid.org/0000-0002-3280-472X)
Institutions
- Jilin University (CN)
- First Hospital of Jilin University (CN)
- Changzhou No.2 People's Hospital (CN)
- Changzhou Third People's Hospital (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1371/journal.pone.0318445
- Primary Topic
- Cardiac Health and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00