PREVALENCE AND PREDICTORS OF CORONARY ARTERY DISEASE IN SEVERE AORTIC STENOSIS PATIENTS UNDERGOING SURGERY

Journal Title: Journal of Evidence Based Medicine and Healthcare - Year 2017, Vol 4, Issue 73

Abstract

BACKGROUND The present study is to find out the prevalence of CAD in severe Aortic Stenosis (AS) patients undergoing aortic valve replacement and the relation between the conventional risk factors and CAD in them. Calcific aortic stenosis is associated with the same risk factors as coronary artery disease. Studies on calcific aortic stenosis and CAD are rarely reported from India. The aim of the study is to find out the predictive value of angina for presence of CAD in severe aortic stenosis. MATERIALS AND METHODS All cases of isolated severe aortic stenosis undergoing CAG before aortic valve replacement were included in the study. Data regarding various risk factors, symptoms, echocardiographic parameters and angiographic profile were collected. RESULTS Among a total of 94 patients who have undergone aortic valve replacement for severe AS 40 (42.6%) had CAD. Risk factors like advanced age, hypertension, diabetes and smoking were more in patients with CAD compared to isolate AS. Mean gradient was more in the AS + CAD group compared with AS group. Presence of angina had a sensitivity of 82.5% and specificity of 51.85% for predicting coexisting CAD. CONCLUSION Among severe aortic stenosis, patients undergoing AVR 42.6% of patients had significant obstructive CAD. The conventional risk factors predict presence of coronary artery disease. Angina has got a fairly good sensitivity, but moderate specificity for CAD.

Authors and Affiliations

Narayanapilai Jayaprasad, Suresh Madhavan, Gopakumar M. K, Raju George

Keywords

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  • EP ID EP283401
  • DOI 10.18410/jebmh/2017/864
  • Views 67
  • Downloads 0

How To Cite

Narayanapilai Jayaprasad, Suresh Madhavan, Gopakumar M. K, Raju George (2017). PREVALENCE AND PREDICTORS OF CORONARY ARTERY DISEASE IN SEVERE AORTIC STENOSIS PATIENTS UNDERGOING SURGERY. Journal of Evidence Based Medicine and Healthcare, 4(73), 4339-4342. https://europub.co.uk/articles/-A-283401