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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Relationship Between Aortic Valve and Mitral Annular Calcification With Coronary Artery Calcification in Asymptomatic
Kyung An Kim1,2,3, Mi-Jeong Kim2,3, Hae-Ok Jung4
1Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Insights
Coronary artery calcification (CAC) severity is linked to aortic valve calcification (AVC) and mitral annular calcification (MAC) prevalence. While MAC and CAC progression correlate, AVC progression does not, suggesting hemodynamic influences.
Area of Science:
- Cardiovascular Imaging and Atherosclerosis Research
- Clinical Epidemiology of coronary artery calcification (CAC)
- Valvular Heart Disease and Hemodynamic Analysis
Background:
Prior research has shown that aortic valve calcification, mitral annular calcification, and coronary artery calcification frequently coexist due to shared atherosclerotic pathways. These pathological processes involve the deposition of calcium within cardiac structures, often serving as markers for systemic vascular disease. Clinical observations suggest that individuals with one form of calcification are significantly more likely to exhibit others during routine screenings. Despite these commonalities, the specific longitudinal relationship between the progression of valvular and vascular calcium remains poorly defined. Existing literature primarily focuses on cross-sectional data rather than temporal changes across multiple cardiac sites. The biological mechanisms driving the transition from early lipid deposition to advanced mineralization in different heart valves are not yet fully elucidated. This absence of evidence motivated a detailed investigation into how these calcified lesions evolve relative to one another over time.
Purpose Of The Study:
Researchers sought to determine the cross-sectional and longitudinal associations between valvular calcification and coronary artery disease markers in asymptomatic patients. The investigation focused on quantifying the prevalence of aortic and mitral calcium deposits relative to existing coronary burdens. Investigators evaluated whether the severity of baseline coronary artery calcification predicts the presence of extra-coronary calcified lesions. The team specifically examined the annualized progression rates of these distinct calcification types to identify potential shared developmental trajectories. Analysis targeted the identification of independent risk factors that might influence the synchronous or asynchronous growth of these mineralized deposits. By tracking changes over serial imaging sessions, the study aimed to clarify if systemic atherosclerosis drives all three processes equally. The project also intended to discern if the presence of one lesion type could serve as a reliable surrogate for the progression of others.
Main Methods:
The retrospective analysis included 722 asymptomatic individuals who participated in comprehensive health screenings involving serial cardiac computed tomography (CT). Radiologists identified and quantified aortic valve calcification (AVC), mitral annular calcification (MAC), and coronary artery calcification (CAC) using the standardized Agatston units (AU) scoring system. Multivariable regression models adjusted for traditional cardiovascular risk factors to isolate the specific relationships between these calcified entities. The researchers calculated annualized progression rates by comparing calcium scores across sequential imaging intervals. Statistical frameworks assessed the probability of prevalent valvular disease based on incremental increases in coronary calcium burden. This methodological approach allowed for a robust comparison of both baseline status and temporal evolution across different cardiac regions. The study utilized a longitudinal design to capture the dynamic nature of mineral accumulation over several years of patient follow-up.
Main Results:
Baseline assessments revealed that increasing coronary artery calcification severity significantly correlates with a higher probability of prevalent valvular calcification. Every 100 AU increase in coronary burden raised the odds of having aortic valve calcification by 3% and mitral annular calcification by 6%. Initial screenings showed prevalence rates of 11.4% for the aortic valve, 6.5% for the mitral annulus, and 46.3% for the coronary arteries. Longitudinal follow-up demonstrated a strong correlation between the interval changes of mitral and coronary calcium scores with a significance level of P < 0.001. No significant relationship emerged when comparing the progression of aortic valve calcification with either mitral or coronary changes. These findings indicate that while all three sites share an origin, their subsequent growth patterns diverge significantly. The data suggests that the mitral annulus and coronary arteries may share more similar metabolic or mechanical stressors than the aortic valve.
Conclusions:
The observed correlations support the theory that these calcified lesions share a common atherosclerotic origin in asymptomatic populations. Divergent progression patterns suggest that localized factors like hemodynamics play a more substantial role in valvular changes than systemic disease alone. Mitral and coronary calcification appear more closely linked in their developmental trajectory than aortic valve mineralization. Future clinical assessments might need to account for these differing growth drivers when monitoring patients with multi-site calcification. Understanding these distinct pathways could refine risk stratification for individuals undergoing routine cardiac screenings. The study highlights the complexity of cardiovascular mineralization beyond simple systemic inflammation or lipid deposition. These results imply that therapeutic interventions targeting systemic atherosclerosis might have varying levels of efficacy across different cardiac structures.
Background:
Aortic valve calcification (AVC), mitral annular calcification (MAC), and coronary artery calcification (CAC) all share common atherosclerotic origins. However, the relationship between these entities is not fully understood.
Methods:
A total of 722 asymptomatic individuals who underwent health screening with serial cardiac computed tomography (CT) were retrospectively selected for analysis. AVC, MAC, and CAC were identified on CT, and the severity was quantified using Agatston units (AU). Multivariable regression models were used to identify the association between the severity of CAC and the probability of prevalent AVC and MAC, and the relation between annualized progression rates of AVC, MAC and CAC.
Results:
On initial CT, the prevalence of AVC, MAC, and CAC was 11.4%, 6.5%, and 46.3%, respectively. Increasing baseline CAC severity was associated with a higher probability of both prevalent AVC (odds ratio [OR] per 100 AU increase, 1.03; 95% confidence interval [CI], 1.02-1.04; P < 0.001) and MAC (OR per 100 AU increase, 1.06; 95% CI, 1.05-1.07; P < 0.001), even after correction for other risk factors. On follow-up CT, the interval changes of MAC and CAC scores were also highly correlated (P < 0.001). However, no significant relationship was found between the interval changes of AVC and MAC scores, or between AVC and CAC.
Conclusion:
We observed a close correlation between AVC, MAC, and CAC, which is in accord with their common atherosclerotic origin. However, the correlation between MAC and CAC progression but not with AVC suggests that other factors such as hemodynamics may have an important role in the further development of calcification.
Frequently Asked Questions
Based on this study's findings, higher baseline CAC scores significantly increase the likelihood of finding calcium in other cardiac structures. Specifically, the researchers observed that as coronary burden rises, the probability of detecting both aortic valve calcification (AVC) and mitral annular calcification (MAC) increases proportionally.
The study quantified that for every 100 Agatston units (AU) increase in coronary artery calcification, the odds ratio for prevalent aortic valve calcification was 1.03. Similarly, the odds ratio for mitral annular calcification increased to 1.06 per 100 AU, demonstrating a statistically significant correlation (P < 0.001).
Serial cardiac CT enabled the researchers to calculate annualized progression rates for AVC, MAC, and CAC using Agatston units (AU). This longitudinal approach revealed that while MAC and CAC progression are highly correlated (P < 0.001), aortic valve changes do not follow the same temporal pattern.
These findings are specifically confined to asymptomatic individuals undergoing health screenings. The researchers analyzed a cohort of 722 subjects to ensure the results reflect early-stage atherosclerotic processes rather than advanced symptomatic disease, though the authors note that hemodynamic factors may limit generalization.
The study's authors propose that while these entities share an atherosclerotic origin, factors such as hemodynamics may have an important role in the further development of calcification. They conclude that the lack of correlation between AVC and CAC progression highlights distinct localized drivers.
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