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• W2000418178 abstract "Objectives . The objective of this study was to determine the accuracy of digital supine bicycle stress echocardiography, a new technique for evaluating coronary artery disease during peak exercise. Background . Prior stress echocardiographic techniques have not utilized peak exercise imaging to determine the extent and location of coronary artery disease. Methods . Two-hundred twenty-two patients were studied: 180 underwent both supine bicycle stress echocardiography and coronary arteriography; 42 had a <5% likelihood of disease. Forty-three patients had normal coronary arteries, 55 had single-vessel, 42 had double-vessel and 40 had triple-vessel coronary artery disease. Results . Supine bicycle stress echocardiography was 93% sensitive, 86% specific and 92% accurate for identifying patients with coronary artery disease irrespective of prior myocardial infarction or achievement of ≥85% maximal predicted heart rate. The “normalcy” rate in the low probability group was 100%. Supine bicycle stress echocardiography was 87% sensitive, 89% specific and 88% accurate for specific vessel identification. The sensitivity was greatest for the left anterior descending compared with the right coronary artery and the left circumflex coronary artery (95% vs. 81% vs. 78%, p < 0.01) and for vessels in patients with double- and triple-vessel compared with single-vessel disease (90% vs. 89% vs. 78%, p < 0.05). The procedure was significantly more sensitive for detection of vessels with 90% to 100% compared with 50% to 70% diameter stenosis (91% vs. 81%, p < 0.05) and was 88% correct in the prediction of multivessel disease. Conclusions . Supine bicycle stress echocardiography is a highly accurate tool for evaluating coronary artery disease, identifying both the patient with coronary artery disease and the location and extent of disease." @default.
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• W2000418178 date "1993-03-01" @default.
• W2000418178 modified "2023-09-28" @default.
• W2000418178 title "Digital supine bicycle stress echocardiography: A new technique for evaluating coronary artery disease" @default.
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• W2000418178 doi "https://doi.org/10.1016/0735-1097(93)90352-2" @default.
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