Key result
Novel mACEF-Ca score outperforms traditional models in predicting 2-year MACE with an AUC of 0.778.
Why the study?
Existing clinical risk models like the ACEF score lack lesion-specific anatomical data, limiting their predictive performance in high-risk patients with severe coronary artery calcification undergoing PCI.
Does the mACEF-Ca score improve risk stratification for MACE in patients with severe coronary artery calcification undergoing PCI compared to traditional ACEF scores?
Observational (n=785)
No
Does the mACEF-Ca score improve risk stratification for MACE in patients with severe coronary artery calcification undergoing PCI compared to traditional ACEF scores?
The novel mACEF-Ca score, incorporating clinical factors and IVUS-derived calcific features, significantly improves the prediction of 2-year MACE in patients with severe coronary artery calcification undergoing PCI.
Severe coronary artery calcification (CAC) significantly complicates percutaneous coronary intervention (PCI), leading to increased procedural challenges and adverse outcomes. Existing clinical risk models such as the age, creatinine and ejection fraction (ACEF) score often lack lesion-specific anatomical data, limiting their predictive performance in high-risk cohorts. This retrospective study enrolled patients with intravascular ultrasound (IVUS)-confirmed severe CAC who underwent non-emergent PCI with drug-eluting stent implantation. Independent predictors of major adverse cardiovascular events (MACE) over a median 2-year follow-up were identified using multivariate Cox regression. A novel modified ACEF score (mACEF) incorporating calcific features (mACEF-Ca) was constructed based on the original mACEF, presence of calcified nodule (CN), and a maximum calcium arc of 360°. Of the 785 included patients, 121 (15.4%) experienced MACE during the 2-year follow-up. Presence of a 360° calcium arc and CN were identified as independent predictors of MACE (HR = 1.63 and 2.61, respectively; both P < 0.001). The simplified mACEF-Ca formula was: mACEF + 1 (if maximum calcium arc = 360°) + 1 (if CN present). This model demonstrated superior discrimination (AUC = 0.778) compared to traditional ACEF-based models (all P < 0.05 by DeLong test). Kaplan–Meier analysis confirmed significantly poorer event-free survival in patients with higher mACEF-Ca scores (log-rank P < 0.001). The mACEF-Ca score, combining clinical and IVUS-derived calcification parameters, enhances risk stratification in patients with severe CAC undergoing PCI. It offers a practical and effective tool for identifying high-risk individuals, guiding procedural planning, and informing post-procedural management strategies.
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Wu et al. (2025) conducted an observational in Severe coronary artery calcification (n=785). mACEF-Ca score vs. Traditional ACEF-based models was evaluated on Major adverse cardiovascular events (MACE) (AUC 0.778, 95% CI 0.733-0.823, p=<0.05). The novel mACEF-Ca score, combining clinical and IVUS-derived calcification parameters, demonstrated superior discrimination for predicting 2-year MACE with an AUC of 0.778 compared to traditional models.
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