Key result
Coronary Angiography Positivity Prediction Score predicts severe coronary stenosis with an AUC of ~0.74.
Why the study?
Preoperative coronary angiography before valve surgeries is costly and exposes patients to radiation, prompting the need for a model to reduce unnecessary procedures.
Does a clinical scoring system predict severe coronary stenosis in patients undergoing cardiac surgery?
Cohort (n=5,086)
No
Does a clinical scoring system predict severe coronary stenosis in patients undergoing cardiac surgery?
Effect estimate: AUC 0.740 (95% CI 0.695-0.784)
Absolute Event Rate: 23.1% vs 8%
A simple 6-variable clinical scoring system can effectively predict severe coronary stenosis in patients undergoing valve surgery, potentially reducing unnecessary preoperative coronary angiographies.
May support selective preoperative angiography before cardiac surgery; hypothesis-generating and requires prospective validation.
BACKGROUND: Many cardiovascular patients undergoing valve surgeries require coronary angiography (CAG). Positive results may lead to bypass surgery, while negative results require no treatment. Although informative, CAG is costly and exposes patients to significant radiation. This study aimed to develop a model to reduce unnecessary procedures. METHODS: A retrospective cohort study was conducted on 5,086 patients who underwent valve repair/replacement or other cardiac surgeries at Zhongshan Hospital between 2016 and 2021 and received CAG. Patients treated between 2016 and 2020 formed the training set, while those treated in 2021 constituted the validation set. Severe coronary stenosis was defined as a ≥ 50% reduction in luminal diameter. Logistic regression analysis identified independent predictors in the training set, and a scoring system (Coronary Angiography Positivity Prediction Score) was constructed based on the β-coefficients of each variable. The model was evaluated for discrimination and calibration. RESULTS: Among 4,049 patients, 536 (13.2%) had severe coronary stenosis. Independent predictors included age ≥ 60 years, male sex, hypertension, diabetes, hyperlipidemia, and left ventricular ejection fraction ≤ 58%. The scoring system ranged from 0 to 11 points and demonstrated good discrimination, with an area under the receiver operating characteristic curve of 0.715 (95% confidence interval: 0.694-0.740) in the training set. In the high-risk group (≥ 6 points), the probability of severe coronary stenosis was 23.1%, compared to 8% in the low-risk group (< 6 points). The scoring system also performed well in the validation set with the curve of 0.740 (95% CI, 0.695-0.784). CONCLUSION: We developed and validated a scoring system based on six clinical variables to predict severe coronary stenosis in patients undergoing valve surgeries. This tool may help optimize individual treatment strategies and reduce unnecessary CAG procedures.
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Wang et al. (2025) conducted a cohort in Severe coronary stenosis in patients undergoing cardiac surgery (n=5,086). Coronary Angiography Positivity Prediction Score (≥ 6 points) vs. Low-risk score (< 6 points) was evaluated on Severe coronary stenosis (≥ 50% reduction in luminal diameter) (AUC 0.740, 95% CI 0.695-0.784). The Coronary Angiography Positivity Prediction Score predicted severe coronary stenosis with an AUC of 0.740, showing a 23.1% stenosis probability in high-risk versus 8% in low-risk patients.
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