Abstract

The aim of our study was to analyze the possible influence of coronary lesion morphology on the prognosis of patients (pts) with Acute Myocardial Infarction (AMI) evaluated by coronary angiography before hospital discharge. Retrospective study. Study performed at the Cardiology Department of a Central Hospital. 141 consecutive pts admitted because of AMI were evaluated, with an age average of 53.4 +/- 9.6 years, who had hospital discharge. All pts were submitted to angiography between the 2nd and 3rd week after AMI. The ventriculography was evaluated to determine the ventricular function score, as defined by the CASS protocol. The coronarography was performed to access the number of diseased vessels and to analyze their lesion morphology. Complexity was defined by the presence of one of the following characteristics: irregularity, shoulder, ulcers, filling defects, contrast retention and ecstasy. TWO GROUPS OF PTS WERE CONSIDERED: Group I--n = 64 pts, with complex lesions, and Group II--n = 69 pts with non complex lesions. Seven pts were excluded from the study because they had no significant coronary disease. Mean time of the follow up was 21.4 +/- 8.5 months and was similar in the two groups. The cardiac events considered were angina after AMI; reinfarction; heart failure; new hospital admission, percutaneous transluminal coronary angioplasty; coronary artery bypass grafting and death. In relation to both groups no statistically significant difference was found concerning sex, age, left ventricular function score and number of diseased vessels. In group I a higher incidence was found for cardiac events (p 0.006) and for the occurrence of angina after AMI (p < 0.02). In this group the number of pts with cardiac events was also higher (p < 0.01). No difference was found in relation to each of the morphologic characteristics and a high risk profile could not be found. Besides left ventricular function and the number of diseased vessels, the analysis of coronary lesion morphology, evaluated 2 to 3 weeks after AMI, could be useful in risk stratification after AMI.

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