Statistical analysis
CAD, dyspnea
REGRESSION, CAD
For the present analyses, patients of the randomized controlled trial were first divided into those with “concomitant dyspnea” and those without “concomitant dyspnea.” Categorical data are presented as absolute (As it can be difficult to clearly distinguish dyspnea of cardiac origin from dyspnea due to other comorbidities in patients with stable CAD, we then analyzed the study cohort according to the NYHA class of dyspnea. NYHA class I was considered “no dyspnea” and classes II to IV were labelled “symptomatic dyspnea.” To assess the effect of PCI on overall dyspnea, we presented the number of initially symptomatic patients (NYHA class II–IV at baseline) who changed in NYHA class from baseline to the 6-month follow-up. Then, predictors for an improvement of ≥ 1 NYHA class were assessed by univariable logistic regression analyses. Thus, we excluded patients without initial dyspnea because these patients could not further improve after PCI.As choosing variables for a multivariable logistic regression model is ambiguous, we calculated two different models. Model 1 includes all variables with Statistical significance was defined as 