Statistical analysis
For statistical analysis, IBM SPSS Statistics v25 program was used. The
evaluation of continuous variables was made with histogram diagrams and
Kolmogorov-Smirnov test. .As continuous variables were not distributed
normally and group frequencies and sample size was small, non-parametric
methods were employed. Categorical (qualitative) variables were expreed
with frequency (n) and percentage (%), and numerical variables with
mean , standard deviation (sd) Changes in ERO, RV, LVEF, LVEDD, LVESD
parameters before and three months after CRT were examined with Wilcoxon
rank test. Improvement in MR was taken as dependent variable.
The difference in mean values of TEE between the group responders and
non-responders was evaluated with Mann Whitney test. Logistic regression
analysis was carried out so as to determine the variables predicting
improvement in MR. P value of < 0,05 was considered
statistically significant. .