Key result
A nomogram integrating eight clinical parameters accurately predicted adverse outcomes in patients with angina and non-obstructive coronary arteries, achieving a 3-year AUC of 0.78 in validation.
Why the study?
To develop and validate a risk prediction model for adverse outcomes in patients with angina with non-obstructive coronary arteries confirmed by invasive coronary angiography.
Cohort (n=5,934)
No
A novel risk prediction model incorporating eight routine clinical parameters accurately stratifies mortality and cardiovascular risk in patients with ANOCA.
Nomogram stratifies ANOCA risk with routine data; leaves open prospective validation before clinical adoption.
OBJECTIVES: To develop and validate a risk prediction model for adverse outcomes in patients with angina with non-obstructive coronary arteries (ANOCA) confirmed by invasive coronary angiography. DESIGN: Retrospective cohort study. SETTING: A tertiary cardiovascular care centre in China. PARTICIPANTS: From 17 816 consecutive patients undergoing coronary angiography for suspected coronary artery disease, 5934 met ANOCA criteria after rigorous exclusion: (1) significant stenosis (≥50% luminal narrowing), (2) established coronary artery disease history, (3) incomplete baseline/follow-up data, (4) non-cardiovascular life-limiting conditions. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was a composite of all-cause death, non-fatal myocardial infarction (MI), stroke and repeat percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). The secondary outcome was major adverse cardiovascular events, defined as cardiac-related death, non-fatal MI, non-fatal stroke, repeat PCI and CABG. RESULTS: The derivation cohort (n=4452) and validation cohort (n=1482) demonstrated comparable baseline characteristics. The nomogram incorporated eight prognosticators: age, haemoglobin, serum urea, serum sodium, alanine aminotransferase/aspartate aminotransferase ratio, N-terminal pro-B-type natriuretic peptide (NT-proBNP), left atrial diameter and left ventricular ejection fraction. The prediction model showed robust discrimination for primary endpoint, achieving area under the curve (AUC) values of 0.82 (1 year), 0.90 (2 years) and 0.89 (3 years) in the derivation cohort, with corresponding validation cohort AUCs of 0.75, 0.77 and 0.78. Calibration plots revealed close alignment between predicted and actual event-free survival probabilities in both cohorts. Risk stratification identified two distinct prognostic groups with significant survival differences (log-rank p<0.0001). CONCLUSIONS: This predictive model integrates routinely available clinical parameters to accurately stratify mortality and cardiovascular risk in ANOCA patients, providing a potential valuable decision-support tool for personalised therapeutic strategies.
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Xue et al. (2025) conducted a cohort in Angina with non-obstructive coronary arteries (ANOCA) (n=5,934). Risk prediction model (nomogram) was evaluated on Composite of all-cause death, non-fatal myocardial infarction, stroke, and repeat percutaneous coronary intervention or coronary artery bypass grafting (AUC 0.78, p=<0.0001). A nomogram integrating eight clinical parameters accurately predicted adverse outcomes in patients with angina and non-obstructive coronary arteries, achieving a 3-year AUC of 0.78 in validation.
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