Data extraction and analysis
REGRESSION
The baseline clinical characteristics and laboratory data were used as clinical variables, and the per‐segment‐based quantitative CCTA findings were used for a set of outcomes. We performed a vessel‐wise analysis with these data at all outcome‐level settings using the Bayesian truncated quantile regression model. For the vessel‐wise analysis, all 18 coronary segments were classified into the following three vessel groups: left anterior descending (LAD), left circumflex (LCx), and right coronary artery (RCA). The largest quantitative DS measurement in each vessel (LAD, LCx, or RCA) was regarded as the representative value for each vessel, and the largest DS among the vessels was regarded as the representative value for each patient. Most often, the LAD was included (Figure We tested the following two models: the DS model (Model 