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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Associating electrocardiographic abnormalities with coronary artery disease: insights into microvascular dysfunction
Shiko Okabe1, Satoshi Nakamura2, Naoki Hashimoto1,3
1Department of Radiology, Mie University Hospital, Tsu, Japan.
Insights
Electrocardiogram (ECG) abnormalities predict cardiovascular events but don't reliably indicate obstructive coronary artery disease (CAD). ECG changes are linked to microvascular dysfunction and scarring, suggesting a need for comprehensive cardiac CT evaluation.
Area of Science:
- Cardiology
- Radiology
- Medical Diagnostics
Background:
- Electrocardiographic (ECG) abnormalities are known predictors of cardiovascular events.
- The underlying cardiac pathologies linking ECG abnormalities to adverse events require further elucidation.
- Understanding these links is crucial for accurate risk stratification in patients with suspected coronary artery disease (CAD).
Purpose of the Study:
- To investigate the association between ECG abnormalities and the prevalence of coronary artery disease (CAD) in patients with suspected CAD.
- To evaluate the relationship between ECG abnormalities and specific cardiac pathologies including microvascular dysfunction, myocardial scarring, and epicardial stenosis.
- To determine the utility of ECG abnormalities in predicting obstructive CAD using comprehensive cardiac computed tomography (CT).
Main Methods:
- A cohort of 357 patients with suspected CAD underwent ECG and comprehensive cardiac CT.
- Cardiac CT included calcium scoring, stress dynamic CT perfusion (CTP), coronary CT angiography (CCTA), and CT late enhancement.
- Propensity score matching was used to create matched groups of 143 patients with and 143 without ECG abnormalities, controlling for demographic and CAD risk factors.
Main Results:
- ECG abnormalities were significantly associated with microvascular dysfunction and myocardial scarring in both unadjusted and propensity score-matched analyses.
- No significant association was found between ECG abnormalities and coronary calcification severity or obstructive CAD (≥50% luminal narrowing) after propensity score matching.
- In patients without obstructive CAD, those with ECG abnormalities showed a higher prevalence of microvascular dysfunction (30% vs. 14%) compared to those without ECG abnormalities.
Conclusions:
- ECG abnormalities may not be reliable indicators of obstructive CAD.
- However, ECG abnormalities are associated with microvascular dysfunction and myocardial scarring.
- Comprehensive cardiac CT, particularly dynamic CTP, is recommended for patients with ECG abnormalities to assess myocardial perfusion and underlying pathology.
Objectives:
Electrocardiographic (ECG) abnormalities serve as important predictors of future cardiovascular events. However, the specific cardiac abnormalities that bridge the gap between ECG abnormalities and subsequent events remain poorly understood. This study aimed to evaluate the relationship between ECG abnormalities and the prevalence of coronary artery disease (CAD) in propensity score-matched patients with suspected CAD who underwent comprehensive cardiac computed tomography (CT).
Materials And Methods:
A total of 357 patients suspected of CAD underwent ECG and cardiac CT assessments, including calcium scoring, stress dynamic CT perfusion (CTP), coronary CT angiography (CCTA), and CT late enhancement. Propensity score matching based on demographic parameters and CAD risk factors was performed, resulting in 286 matched patients (143 without ECG abnormalities and 143 with ECG abnormalities).
Results:
In both unadjusted and propensity score-matched analyses, ECG abnormalities were significantly associated with microvascular dysfunction and myocardial scarring (p < 0.05 for both analyses). However, no significant associations were observed between ECG abnormalities and coronary calcification severity or obstructive CAD (≥ 50% luminal narrowing) in the propensity score-matched patients. Among matched patients without obstructive CAD on CCTA, those with ECG abnormalities exhibited a higher prevalence (30%) of microvascular dysfunction, particularly in the diffuse-transmural pattern, compared to that (14%) of patients without ECG abnormalities (p < 0.01).
Conclusion:
ECG abnormalities may not be reliable indicators of the presence of obstructive CAD. However, given their association with microvascular dysfunction, CAD evaluation with comprehensive cardiac CT, including dynamic CTP, is recommended for patients exhibiting ECG abnormalities, particularly to evaluate myocardial perfusion abnormalities.
Key Points:
Question We investigated whether ECG abnormalities in patients suspected of having CAD are linked to epicardial stenosis, microvascular dysfunction, or myocardial scarring. Findings After adjusting for traditional risk factors using propensity-score matching, ECG abnormalities were associated with microvascular dysfunction and myocardial scarring, but not with epicardial coronary stenosis. Clinical relevance These results suggest that ECG abnormalities may offer important insights into tissue-level changes and microvascular pathology, rather than simply reflecting epicardial stenosis, thereby underlining the need for comprehensive cardiac assessment in patients with ECG changes.
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