Ontology highlight
ABSTRACT: Background
New-onset atrial fibrillation (NOAF) after coronary artery bypass grafting (CABG) is associated with an increased risk of adverse outcomes. The stress hyperglycemia ratio (SHR), a novel biomarker reflecting relative hyperglycemia, has an undetermined role in NOAF risk assessment. This study aimed to evaluate the association between SHR and NOAF after CABG, and to further develop an interpretable machine learning (ML) model to validate its potential value in clinical risk stratification.Methods
CABG patients were retrospectively identified from the Medical Information Mart for Intensive Care (MIMIC) database. Baseline characteristics from the first postoperative ICU day were extracted. The association between SHR and NOAF was assessed using logistic regression and
SUBMITTER: Cao H
PROVIDER: S-EPMC12619249 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature