National Journal of Medical Research (Jun 2020)

ROLE OF INTIMA-MEDIA THICKNESS (IMT) IN CAROTID ARTERY DOPPLER IN PREDICTING CAD AND ITS CORONARY ANGIOGRAPHY CORRELATIONRole of Intima-Media Thickness (IMT) in Carotid Artery Doppler in Predicting CAD and its Coronary Angiography Correlation

  • Raj J Soni,
  • Avni M Patel,
  • Dharita S Shah,
  • Jinal S Kamodia

Journal volume & issue
Vol. 10, no. 02

Abstract

Read online

Introduction: Coronary artery disease (CAD) is rapidly developing epidemic in India due to increasing urbanization and a change to a sedentary lifestyle. Aim: Aim of study was to determine the value of ultrasound measurements of internal carotid artery intima-media thickness as a surrogate marker for coronary artery disease, to compare measurements of internal carotid artery intima-media thickness with findings of coronary angiography and to establish correlation between internal carotid artery intima-media thickness and various risk factors for coronary artery disease. Methods: The prospective study comprise of 200 patients who had clinically suspected CAD and undergone coronary angiography admitted to department of medicine and cardiology in our hospital during time period from august 2018 to February 2020. Carotid Doppler of each patients undergoing coronary angiography was done and intima media thickness of bilateral ICA were taken. Results: The largest increase in intimal medial thickness was observed in hypertensive patient. In our study 138 patients (69%) are male and 62 patients (32%) are female. Males are affected more than female by CAD in our study. Incidence of CAD is highest amongst the patients within range of 51- 60 years that is 39.5%. In the present study, 97.22 % patients having dyslipidemia had IMT > 0.8, while 93.5 % patients having hypertriglyceridemia had IMT > 0.8. Conclusion: The conclusion of this study is that increase in the carotid intramural thickness have a high and specific likelihood of CAD and that ultrasound examination of the carotid arteries can effectively predict atherosclerosis of the coronary arteries.

Keywords