Geometric features of coronary artery lesions favoring acute occlusion andmyocardial infarction: A quantitative angiographic study

OBJECTIVES We sought to identify the angiographic predictors of a future in farction, to study their interaction with time to infarction, patient risk factors and medications, and to evaluate their clinical utility for risk st ratification. BACKGROUND Identification of coronary lesions at risk of acute occlusion re mains challenging. Stenosis severity is poorly predictive but other stenosi s descriptors might be better predictors. METHODS Eighty-four patients with an acute myocardial infarction and a coro nary angiogram performed within the preceding 36 months (baseline angiogram ), and after infarction were selected. All coronary stenoses (from 10% to 9 5% lumen diameter reduction) at baseline angiogram were analyzed by compute r-assisted quantification. Each of the 84 lesions responsible for the infar ction (culprit) was compared with the nonculprit stenoses (controls) in the same patient. RESULTS Culprit lesions were more symmetrical (symmetry index +15%; p < 0.0 01), had steeper outflow angles (maximal angle +4 degrees; p < 0.001), were more severe (percent stenosis +5%; p = 0.001) and longer (+1.5 mm, p = 0.0 1) than controls. The symmetry index and the outflow angles were the two in dependent predictors of infarction at three-year follow-up. Stenosis severi ty predicted only infarctions occurring within 1 year after angiography. In moderately severe stenoses (40% to 70% stenosis), stratification using the symmetry index and outflow angles accurately predicted lesions remaining f ree of occlusion and infarction at three-year follow-up. CONCLUSIONS Better characterization of stenosis geometry might help to unde rstand the pathophysiologic mechanisms triggering coronary occlusion and to stratify patients for improved care. (C) 1999 by the American College of C ardiology.