Intravascular ultrasound-based analysis of factors affecting minimum lumen area in coronary artery intermediate lesions.

OBJECTIVE: To identify clinical characteristics associated with the minimum lumen area (MLA) of proximal or middle intermediate lesions in the left anterior descending (LAD) artery, and to develop a model to predict MLA. METHODS: We retrospectively analyzed demographic data, medical history, and intravascular ultrasound findings for 90 patients with intermediate lesions in the LAD artery. Linear regression was used to identify factors affecting MLA, and multiple regression was used to develop a model for predicting MLA. RESULTS: Age, number of lesions, and diabetes mellitus correlated significantly with MLA of proximal or middle intermediate lesions. A regression model for predicting MLA (mm(2)) was derived from the data: 7.00 - 0.05 × (age) - 0.50 × (number of lesions). A cut-off value of 3.1 mm(2) was proposed for deciding when to perform percutaneous coronary intervention. CONCLUSION: This model for predicting MLA of proximal or middle intermediate lesions in the LAD artery showed high accuracy, sensitivity, and specificity, indicating good diagnostic potential.