Examination of coronary artery ectasia predictors in acute coronary syndrome
Selim Aydemir1, Sidar Şiyar Aydın1, Onur Altınkaya1
1Department of Cardiology, University of Health Sciences, Erzurum, Turkey.
Insights
The LDL/HDL ratio and low lymphocyte count can predict coronary artery ectasia (CAE). This simple blood test prediction aids in CAE management and patient follow-up.
Area of Science:
- Cardiology
- Vascular Biology
- Diagnostic Medicine
Background:
- Coronary artery ectasia (CAE) involves abnormal coronary artery dilation, posing risks for adverse cardiovascular events.
- CAE presents diagnostic and management challenges.
- Identifying predictive markers for CAE is crucial for patient outcomes.
Purpose of the Study:
- To evaluate and compare predictive parameters for coronary artery ectasia (CAE).
- To identify simple, cost-effective predictors for CAE.
Main Methods:
- Analysis of patients undergoing angiography for acute coronary syndrome.
- Cox regression and ROC curve analysis to identify and evaluate predictive variables.
- Comparison of area under the curve (AUC) values for predictive capability.
Main Results:
- Coronary ectasia (CAE) was present in 5.35% of 2279 patients studied.
- The low-density lipoprotein/high-density lipoprotein (LDL/HDL) ratio independently predicted CAE.
- Lymphocyte count (lymphopenia) was also identified as an independent predictor of CAE.
Conclusions:
- The LDL/HDL ratio and lymphopenia are independent predictors of CAE.
- The LDL/HDL ratio offers a cost-effective and simple method for CAE prediction.
- These findings can significantly aid in CAE treatment planning, prognosis, and patient follow-up.
Aim:
Coronary artery ectasia (CAE) is localized or generalized dilatation of the coronary artery lumen. CAE is difficult to diagnose, treat, and manage and is associated with the risk of adverse cardiovascular events. In our study, we aimed to evaluate and compare these predictive parameters of CAE.
Materials & Methods:
We conducted a study that involved analyzing patients who had underwent angiography for acute coronary syndrome. The patients were categorized into two groups based on the presence or absence of CAE. The Cox regression analysis considered significant predictors for CAE while assessing independent variables. ROC Curve analysis was used to evaluate the predictive capability of these variables for CAE, and area under the curve (AUC) values were compared.
Results:
2279 patients included in the study were followed for an average of 498 days. Coronary ectasia was present in 5.35% of the patients. LDL/HDL ratio and lymphocyte count independently predicted CAE.
Conclusion:
In our study, low density lipoprotein/high density lipoprotein (LDL/HDL) ratio and lymphopenia were observed to independently predict CAE. LDL/HDL ratio obtained from standard blood tests can be used as a cost-effective and simple method to predict CAE, making a significant contribution to treatment planning, prognosis and patient follow-up.
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