METHODS
In our study, a total of 130 patients who underwent robotic and conventional mitral valve replacement between 2014 and 2020 in Health Sciences University Gulhane Training and Research Hospital Cardiovascular Surgery Clinic were retrospectively analyzed. Ethics committee approval was obtained from Health Sciences University Gülhane Non-Invasive Research Ethics Committee, dated 25.02.2020 and numbered 2020/73 project / decision.
All patients were divided into two groups; 64 patients who underwent robotic mitral valve replacement in Group I, and 66 patients who underwent conventional mitral valve replacement with classical full sternotomy in Group II. Preoperative general demographic data of the patients (age, gender, body weight), comorbidities (hypertension, diabetes mellitus, chronic obstructive pulmonary disease, peripheral artery disease, hyperlipidemia), intraoperative variables (cardiopulmonary bypass times, cross clamp times), postoperative ventilation times, the amount of drainage, the amount of transfusion, the need for inotropes, revision, rhythm disturbance, length of stay in the ICU and hospital and mortality were analyzed retrospectively.
Statistical analysis
Descriptive statistics are given along with percentage, mean, standard deviation, minimum and maximum values. Pearson chi-square test or Fisher’s Exact Test was used in the analysis of the relationships between categorical variables. The normal distribution assumption of independent variables was checked by Kolmogorov-Smirnov Test and Shapiro-Wilk Test. The relationship between the dependent variables and the dependent variables were evaluated using the Student-T Test when they fit the normal distribution, and the Mann-Whitney U Test when they did not fit the normal distribution. Analysis results are considered statistically significant if the confidence interval is 95% and p values are less than 0.05. The length of stay in the intensive care unit and hospital was obtained using the Kaplan Meier method. The possible effect of the type of surgery on the duration of ICU and hospital stay was evaluated using the log-rank test. Analyzes were made with SPSS 23.0 package program.