Assesment of Right Ventricular Function in Patients with Acute Myocardial Infarction

Abstract Background: The prognosis of patients after acute myocardial infarction (AMI) is determined by the interaction of a large number of factors. The presence of left ventricular (LV) dysfunction, on echocardiography shortly after AMI, is one of the most important prognostic parameters. The relevance of right ventricular (RV) function is poorly defined in post-AMI patients. The aim of the present study was to evaluate the right ventricular dysfunction in MI using echocardiography and also to study the association between outcomes with MI patients Methods: The present study was an retrospective study, which enrolled a total of 100 patients with chest pain of <24 hours who were diagnosed with acute ST-segment elevation myocardial infarction (MI) for the first time. Echocardiography was performed with a special emphasis on the tricuspid annular plane systolic excursion (TAPSE) score. Results: The mean age of enrolled patients was 54.66±15.79 years. The male to female ratio of 1 : 1.33. 42.00% patients were present with diabetes and 44.00% patients were present with diabetes. The mean TAPSE was 16.86±4.09 mm, Tricuspid S' Velocity was 10.18±1.99 cm/s and Ejection fraction was 46.37±8.50%. The association between 2D Echo finding and type of MI was found statistically Insignificant. The association between outcome and type of MI was found statistically significant. Death was more in posterior wall MI (14.71%) as compare to inferior wall (11.76%) & anterior wall MI (6.25%). Conclusion: The present study was found that association between 2D Echo finding and type of MI was found statistically Insignificant but association between outcome and type of MI was found statistically significant. This study throws light on the importance of meticulous assessment of right ventricular function in all patients of AMI, regardless of the site of infarction. Early diagnosis of right ventricular involvement is essential for prompt management of the patient.