Ontology highlight
ABSTRACT: Background
Acute coronary syndrome (ACS) is a major global health burden with a high risk of adverse outcomes. Existing predictive models (e.g., GRACE) primarily rely on static indicators and focus on short-term prognosis, limiting their ability to comprehensively assess patient status and predict long-term mortality. To address the need for improved long-term risk prediction in this specific patient subgroup, this study developed and validated a long-term mortality prediction model for ACS patients incorporating cardiopulmonary exercise testing (CPET) and other clinical indicators.Methods
This retrospective cohort study included ACS patients treated at Tongji Hospital from January 1, 2007, to December 31, 2018. Demographic data, medical histories, CPET indicators, laborato
SUBMITTER: Jiang Y
PROVIDER: S-EPMC12853907 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature