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Correlation of Aortic Elasticity Indices with the Severity of Coronary Artery Disease
Parvathareddy Krishna Mala Konda Reddy1, Konda Bharath2, Nagula Praveen2
1Department of Cardiology, Osmania General Hospital, Hyderabad, Telangana, India.
Insights
Aortic distensibility (AD) is a reliable indicator for assessing coronary artery disease (CAD) severity. Lower AD predicts more severe CAD, aiding in risk stratification and treatment decisions for patients with this condition.
Area of Science:
- Cardiology
- Vascular Biology
- Medical Imaging
Background:
- Coronary artery disease (CAD) is a leading cause of death globally.
- Aortic elasticity indices (AEI) show promise in evaluating CAD risk.
- This study investigates the link between AEI and CAD severity.
Purpose of the Study:
- To explore the association between aortic elasticity indices (AEI) and coronary artery disease (CAD) severity.
- To determine if AEI can predict the extent and complexity of CAD.
- To identify the most reliable AEI for CAD assessment.
Main Methods:
- 100 individuals with suspected CAD underwent coronary angiography.
- Participants were grouped based on CAD severity (normal/insignificant vs. significant).
- Aortic distensibility (AD) and aortic strain were measured using echocardiography and correlated with the modified Gensini score (mGS).
Main Results:
- Patients with significant CAD had lower aortic distensibility (AD) and aortic strain compared to those without.
- AD was significantly lower in patients with significant CAD (P=0.03).
- Aortic strain was also significantly lower in patients with significant CAD (P=0.04).
- AD emerged as the strongest predictor of CAD severity and complexity, especially for intermediate-high mGS tertiles.
Conclusions:
- Aortic distensibility (AD) is the most reliable AEI for assessing CAD severity.
- Integrating AEI into clinical practice can improve risk stratification for CAD patients.
- These findings may lead to better treatment decisions and improved patient outcomes.
Background:
Coronary artery disease (CAD) is a major contributor to global morbidity and mortality. Aortic elasticity indices (AEI) have emerged as potential indicators for evaluating risk in CAD. This research aimed to explore the association between AEI and the severity of CAD, as measured by the modified Gensini score (mGS).
Materials And Methods:
A total of 225 individuals were screened, out of which 100 eligible individuals undergoing elective coronary angiography for suspected CAD were enrolled. These participants were divided into two groups: Group I, with normal or insignificant angiographic findings (31%) and Group II, with significant CAD (69%), for whom the mGS was calculated. Echocardiographically derived AEI were obtained for all participants.
Results:
The mean age was 55.26 ± 8.94 years, predominantly males (63%). Unstable angina was the most prevalent presentation (70%), and dyslipidemia was identified as the most predominant (89%) risk factor. The analysis revealed that patients with significant CAD exhibited lower aortic distensibility (AD) (<4.85 cm2/dyn/103) and aortic strain (<9.6%) than those without significant CAD with P = 0.03 and P = 0.04, respectively. Furthermore, AD was identified as the strongest predictor of the severity and complexity of CAD, particularly in cases with intermediate-high mGS tertiles.
Conclusion:
This study underscores AD as the most reliable AEI for assessing CAD severity. Integrating these indices into routine clinical practice could significantly enhance risk stratification, guide treatment decisions, and ultimately improve outcomes for CAD patients.
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