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. .