Remodelled multiple linear regression equation for stent size calculations of left anterior descending artery (LAD-proximal) dimensions with single vessel disease

Abstract

Purpose of research: To validate the Multiple Linear Regression Equation (MLR) of predicted dimensions of left anterior descending coronary artery (LAD-o, p) and left circumflex artery (LCx-o, p) by remodelling the equation based on the percentage of stenosis present in the artery segments. This helped us to go forward with an objective to explore the possibility of explaining the relationship with a MLR formula, to estimate the reference diameter of a stenosed coronary artery when the other two arteries are normal. Materials and methods: Patients who undergo Percutaneous Coronary Angioplasty (PCI) procedure were included from single study centre of South India after obtaining the ethical clearance through proper channels. Total n=104 cases who have undergone PCI in LAD-p were studied prospectively. Informed consent was obtained. Exclusion criteria’s were post CABG and post PCI patients. The parameters assessed and categorized were coronary artery measurements of non-diseased segments from Single Vessel Diseased Coronaries (SVD) after excluding the diseased segments. Results and conclusions: The initial participant predicted equation for LAD-p was remodelled after validation by considering the difference between stent size estimated (calculated) and stent reduction category. Participant predicted equation: LAD-p=1.092+0.302*LMCA+0.379 * LCx-p. F (2,101) = 1340, p<0.0001; with an R2 of 0.9637. Age and gender had no significant change while taking in to consideration for remodelling (p =0.17). PCI was found to be safe and effective in our routine clinical setting during the validation of the estimated MLR formula and was valuable in detecting the artery diameter in stenosed SVD of LAD-p. Keywords: Percutaneous coronary angioplasty; Multiple linear regression equation; Left anterior descending artery; Single vessel diseased coronaries; Stenting strategies.