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Observational study links AI-detected proximal coronary calcium to higher MACE and mortality riskDoes a tiny bit of calcium in your heart arteries mean higher risk for heart attacks or death?

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Key Takeaway
Consider that AI-detected proximal coronary calcium is associated with higher MACE and mortality risk in observational data.

This is a primary research article reporting an observational cohort study from 15 sites across two international multicenter registries. The study included 4,552 patients with no prior coronary artery disease, AI-derived mild coronary artery calcium (CAC) scores of 1-99, and normal perfusion. The scope was to evaluate the prognostic value of AI-detected proximal coronary calcium on CT attenuation maps.

The authors found that proximal CAC was associated with an increased risk of major adverse cardiovascular events (MACE) and all-cause mortality (ACM). For MACE, the adjusted hazard ratio was 1.24 (95% CI 1.03-1.48, P=0.02), with 599 events (13%). For ACM, the adjusted hazard ratio was 1.25 (95% CI 1.01-1.53, P=0.04), with 444 events (10%). The follow-up duration was 3.6 years (inter-quartile interval 2.1, 5.2).

The authors note that this is an observational association, and causality cannot be inferred. Limitations inherent to the design include potential unmeasured confounding. The study did not report safety data, adverse events, or funding conflicts.

The practice relevance is that AI detection of proximal CAC identified a higher-risk group for adverse outcomes in patients with mild CAC and normal perfusion. However, the prognostic utility should be interpreted cautiously, as the evidence is observational.

Imagine having a heart scan that looks mostly fine, yet hiding a small risk. This study looked at over 4,500 patients who had no history of heart disease but showed mild calcium on their scans. Most of these patients had normal blood flow during stress tests, suggesting their hearts were pumping well. However, the location of that calcium mattered a lot.

Coronary Artery Disease is when the arteries that feed your heart get blocked. Myocardial Perfusion Imaging is a scan that checks if blood is flowing properly to your heart muscle. When researchers found calcium near the main entrance of these arteries, the results were concerning. Patients with this specific calcium pattern had a 24% higher risk of major heart events and a 25% higher risk of dying from any cause.

During the study, which followed people for an average of 3.6 years, 599 people experienced major heart events and 444 passed away. The calcium near the main artery entrance acted like a warning sign. Yet, we must be careful. This was an observational study, meaning researchers watched what happened without changing anything. We know the calcium location is linked to bad outcomes, but we do not yet know if it causes them.

This research helps doctors see that not all calcium is the same. Finding calcium near the main artery entrance in patients with otherwise mild buildup and normal scans identifies a group that needs extra attention. However, this study does not prove that the calcium itself causes the problems, nor does it tell us exactly how to treat these patients yet.

What this means for you:
Calcium near the main artery entrance in mild cases signals higher heart risk, but this study only shows a link, not a cause.

Study Details

Sample sizen = 43,099
EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Purpose: Spatial distribution of coronary artery calcium (CAC) may provide additional prognostic value in patients undergoing SPECT and PET myocardial perfusion imaging (MPI). We aimed to automatically identify CAC in proximal segments from attenuation correction CT (CTAC) scans using artificial intelligence (AI) and to evaluate prognostic significance in two large international multicenter registries. Methods: From hybrid MPI/CT imaging (N=43,099) across 15 sites, we included 4,552 most relevant patients with 1) no prior coronary artery disease; 2) AI-derived mild CAC scores (1-99); and 3) normal perfusion (stress total perfusion deficit <5%). The independent associations between AI-identified proximal CAC and major adverse cardiovascular events (MACE) and all-cause mortality (ACM) were evaluated using multivariable Cox regression, likelihood ratio test (LRT), and continuous net reclassification index (NRI). Results: Among the patients with mild CAC and normal perfusion (mean age 65{+/-}12 years, 51% male), 1,730 (38%) had proximal CAC. Over 3.6 (inter-quartile interval 2.1, 5.2) years follow up, 599 (13%) and 444 (10%) patients had MACE or ACM, respectively. Proximal CAC was associated with an increased risk of MACE (adjusted hazard ratio [HR] 1.24, 95% CI 1.03-1.48, P=0.02) and ACM (adjusted HR 1.25, 95% CI 1.01-1.53, P=0.04) after the adjustment of CAC score and density, clinical risk factors, and perfusion deficit. Proximal CAC improved the risk stratification of MACE (LRT P=0.02; NRI 12%) and ACM (LRT P=0.04; NRI 12%). Conclusion: In patients with mild CAC and normal perfusion, AI detection of proximal CAC identified a higher-risk group for adverse outcomes, highlighting its prognostic utility.
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