Statistical analyses
SENSITIVITY
We used a constrained linear mixed model to evaluate treatment effect (or between-group difference) on all echocardiographic parameters. To account for correlation between repeated measurements on the same subject, an unstructured covariance pattern was assumed. Analyses were performed as intention-to-treat. Missing values were deemed to be missing at random and were implicitly imputed by maximum likelihood-estimation in the linear mixed model. Sensitivity analyses using the complete-case cohort were performed, but did not change the conclusions based on the primary analyses (Supplementary table Descriptive characteristics are reported by mean and standard deviation (SD) unless otherwise specified. Baseline characteristics were tested for baseline-imbalance using student’s t-test for continuous or log-transformed variables and fisher’s exact test for counts. Changes from baseline and treatment effects are preferably reported as the mean, a 95% confidence interval [95%CI] and two-tailed unadjusted p-values. A p-value below 0.05 considered as statistically significant. Data-transformation was used to adhere to model assumptions and results are presented after de-transformation. Statistical analyses and graphical design were performed using SAS (version 9.4 TS 1M5) (SAS Institute Inc., Cary, NC, USA), GraphPad Prism 8, version 8.1.0 (GraphPad Software, San Diego, CA, USA), and 