Statistical Analysis
Continuous data are presented as mean ± standard deviation for Gaussian
variables or median [interquartile range (IQR)] for non-gaussian
variables and all categorical data as number (percentage). Normality was
assessed using the Kolmogorov-Smirnov test. Normally distributed
continuous data and categorical data were compared with Pearson’s
Chi-squared test or Fisher’s exact test when 25% of available data
points had expected values <5. Non-Gaussian distributions were
evaluated using Mann-Whitney U test.
Kaplan Meier analysis was used to compare long-term survival, and
cumulative incidence was used to compare incidence of long-term MACCE
across cohorts. Multivariable Cox Proportional Hazards modeling was used
to identify predictors for 5-year mortality as well as 5-year MACCE.
Co-variables were first assessed by univariable model for statistical
significance. A threshold of P<0.2 was then employed for
inclusion into the multivariable model.